VoroMQA

VoroMQA: assessment of protein structure quality using interatomic contact areas

VoroMQA web-server is available at bioinformatics.ibt.lt/wtsam/voromqa.

VoroMQA software for Linux is included in the latest Voronota package available from bitbucket.org/kliment/voronota/downloads.

Testing data tables are available here.

Sector of Microtechnologies

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Collaborations 

Prof. Allon M. Klein (Harvard Medical School, USA) https://sysbio.med.harvard.edu/facultys/allon-klein-phd
Prof. Dana Pe’er (MSKCC, USA) https://www.mskcc.org/research/ski/labs/dana-pe-er
Prof. David Weitz (Harvard University, USA) http://weitzlab.seas.harvard.edu
Prof. Donald Hilvert (ETH Zurich, CH) http://www.protein.ethz.ch
Prof. Helder Santos (University of Helsinki) http://www.helsinki.fi/~hsantos/

Ongoing Projects:

H2020-MSCA-ITN-2018, EvoDrops (813786), directed EVOlution in DROPS

01.2.2-MITA-K-702 "Single genome amplification of clinically relevant microorganisms using microfluidics technology", EUREKA Network E! 13634 SAGCHIP

01.2.2-LMT-K-718-04-0002, ”Establishment of single-cell transcriptomics/genomics research parallel-laboratory"

09.3.3O-LMT-K-712-01-0056, "Droplet microfluidics for single-cell genotype phenotype linkage research"

0773

Linas Mazutis, Ph.D., Prof.
Principal Investigator
Research ID: A-5408-2012
tel: +37069319333
email:

Lab Members:
Dr. Rapolas Žilionis
Dr. Simonas Juzėnas
Dr. Monika Kirsnytė
Greta Leonavičienė
Karolis Goda
Lorenzo Camisi
Valdemaras Milkus
Justina Žvirblytė
Denis Baronas

Graduate Students:
Justas Ritmejeris
Barbora Popova
Suji Kim
Emilė Pranauskaitė

Visit our new group's webpage: https://www.gmc.vu.lt/en/sector-of-microtechnologies

Research Overview

Droplet microfluidics technology provides a powerful tool in life sciences. The basic principle of this technology is easy to appreciate: highly monodisperse aqueous droplets are generated in an inert carrier oil in microfluidic channels on a chip and each droplet functions as an independent microreactor. Hence, each droplet is the functional equivalent of a well (or tube), yet the volume of droplet is roughly a thousand to a million times smaller. Such massive reduction in reaction volume provides huge savings in reagents cost when performing large numbers of reactions in parallel. Furthermore, unlike the conventional microtiter plates or valve-based microfluidics, droplets are intrinsically scalable: the number of reaction ‘wells’ is not limited by the physical dimensions of the chip but scales linearly with the emulsion volume. Different microfluidic modules can be employed to manipulate droplets in sophisticated, yet highly controllable manner. Large numbers of droplets (>10^9) can be generated at astonishingly high rates (>20,000 droplets per second), their size tuned precisely, new reagents introduced into pre-formed droplets at defined time points, droplet split and sorted, therefore opening new opportunities for single-cell -omics field. Many useful microfluidic techniques have been developed to profile and even selectively purify single-cells, however, the demand for methods with better analytical performance and improved high-throughput capabilities, remains very high. We are working at fulfilling this demand by bringing higher throughput, reduced reagent cost, scalability and single-molecule resolution for diverse set of quantitative experiments in cell biology and biomedicine.


1. Single-cell barcoding and sequencing using droplet microfluidics

Single-cell sequencing technologies has affected all branches of biological and biomedical sciences, yet one of the major obstacles imposing a real breakthrough is relatively low number of cells that can be isolated and sequenced. Deciphering the unbiased composition of heterogeneous cell populations requires innovative techniques that could capture not hundreds but thousands of single-cells and to do so in a high-throughput manner and affordable cost. This work is built on idea of isolating individual cells into microfluidic droplets carrying RNA/DNA barcodes, and assay reagents. Because individual cells are compartmentalized in drops, cell genetic make up and contents can be accessed. For single-cell studies our approach provides unprecedented scalability, significantly increased throughput, minimal sample loss, reagent savings and large experimental flexibility. Using this technology we are interested in understanding the genetic and epigenetic factors that are responsible for cellular heterogeneity and inheritance.

Objective 1

Figure 1. Heterogenious mix of cells is encapsulated into droplets together with reverse-transcription enzyme, lysis mix, and hydrogel beads carrying barcoding primers. After encapsulation cells are lysed, primers are released from the beads and cDNA is tagged with a barcode during reverse transcription reaction. Once cDNA synthesis is complete, droplets are broken and barcoded material from all cells is amplified for next-gen sequencing. Read to learn more

Zilionis R., Nainys J, Veres A., Savova V., Zemmour D., Klein MA., and Mazutis L, (2017) Single-cell barcoding and sequencing using droplet microfluidics, Nature Protocols 12, 44–73

Klein M*, Mazutis L*, Akartuna I*, Tallapragada N, Veres A, Li V, Peshkin L, Weitz D and Kirschner M, (2015) Droplet barcoding for single cell transcriptomics applied to embryonic stem cells, Cell, 161(5): 1187–1201
* - joint first co-authors, http://www.cell.com/cell/first-reflections/mazutis

2. High-throughput screening of antibody secreting cells

In this project, we use droplet microfluidics platform for high-throughput single-cell screening of cells that produce therapeutic antibodies or biomolecules of biomedical interest. Cell compartmentalization into microfluidic droplets together with capture beads and barcoded DNA primers enables us a direct establishment of the linkage between the genotype (genes or mRNA) and phenotype (binding, regulatory or activity of secreted proteins). Due to increased local concentration inside droplets the amount of secreted antibodies will significantly reduce the time window necessary for the assay. We aim at developing a discovery pipeline for the quantitative high-throughput antibody phenotyping without loosing the original heavy-light chain pairing, which would be a significant advantage over other technologies. Our technological approach provides a unique way to identify the primary sequence of heavy and light IgG genes encoding functional monoclonal antibodies directly from single-cells, without a need to perform gene cloning, hybridoma construction or cell immortalization.

Objective 2

Figure 2. Schematics of microfluidics platform for screening and sequencing single-cells. A mixture of cells is loaded into droplets together with assay reagents and beads carrying capture probe (antigen). The cells secreting antigen specific Ab will be detected by fluorescent sandwich assay on bead surface and sorted. The sorted cells will be lysed and mRNA encoding heavy and light chains are captured and sequenced. Alternatively, the sorted cells can be recovered directly into a growth media for further cultivation, propagation and analysis. Read to learn more 

Mazutis L., Gilbert J., Ung L., Weitz D., Griffiths A., Heyman J., (2013) Single-cell analysis and sorting using droplet-based microfluidics, Nature Protocols, 8(5): 870-891.

3. in vitro directed evolution using artificial cells

Darwinian evolution is a powerful algorithm that has given rise to the functionally diverse set of proteins present in all living systems. Repetitive rounds of mutation, selection and amplification have optimized nature’s catalysts, the enzymes, to an extraordinary degree, for example. Biocatalysts are typically much more efficient than their man-made counterparts, often working close to the diffusion limit. A better understanding of how new enzymes evolve consequently remains an important and challenging task for both academic and industrial needs. Although the active sites of natural enzymes are highly complex, making the design of new or promiscuous protein functions difficult, computation has recently emerged as a potentially powerful strategy for creating protein catalysts with tailored activities and specificities. Because the activities of such artificial enzymes are still modest, we plan to explore the feasibility of optimizing them by combining the latest advances in droplet-based microfluidics technology with the methods of directed evolution. Specifically, two complimentary groups, one with expertise in microfluidic systems and another with expertise in directed protein evolution, will join forcess to investigate mechanisms and strategies for optimizing several computationally designed esterases. By applying droplet-based microfluidics technology, in which biochemical reactions are performed inside micrometer size vessels, we will have a powerful tool enabling large number of libraries (>10^6) to be screened at ultra-high-throughput rates and using conditions that are incompatible with in vivo systems.

Objective 3

Figure 3. Concept of directed evolution approach in droplet microfluidics. Droplets containing single-genes with all ingredients necessary for in vitro expression will serve as artificial cells that can be selected for a desirable phenotype under conditions that are not feasible in living systems. Library of mutated genes is encapsulated such that, statistically, the majority of droplets contain no more than one gene per droplet. After IVTT reaction the droplets are fused with a second type of droplet containing a fluorogenic substrate and other molecules, salts, and reagents needed to impose the selection pressure. After mixing and incubation, the fluorescence of each droplet is recorded. Droplets with fluorescence above a threshold are sorted by means of dielectrophoresis and the genes contained therein are amplified using PCR. The selected genes can be either characterized, re-selected, or mutated for subsequent round of directed evolution.

Galinis R, Stonyte G, Kiseliovas V, Zilionis R, Studer S, Hilvert D, Janulaitis A and Mazutis L. (2016) DNA nanoparticles for improved protein synthesis in vitro, Angew Chem Int Ed Engl. 2016 Feb 24;55(9):3120-3

4. Microfluidic tools for biological and biomedical applications

Our group has long history of experience at developing novel microfluidic tools for precise manipulation and analysis of biological reactions at pico and nanoliter range volumes. We provide designs, modeling, fabrication and characterization of microfluidic systems and devices for myriad of biological and biomedical applications. We build experimental platforms based on integration of microfluidics, mechanical, electrical and optical modules eventually enabling precise control over experimental conditions hardly feasible in bulk. Using droplet microfluidic devices we provide significantly reduced assay volumes for virtually any biological assay and as a result big cost savings for biochemical reagents and compounds. We are developing microfluidic devices and chips for digital DNA/RNA analysis, single-cell and genomic applications. In addition to droplet microfluidic systems in collaboration with Dr. Jonathan Thon and Prof. Joseph Italiano (Brigham and Women's Hospital, USA) we have developed a micro-bioreactor for generation of synthetic human platelets in vitro. This work formed a technological base for establishment of a start-up company Platelet Biogenesis Inc., which is based in Boston, MA.

Objective 4

Figure 4. Design and operation of the droplet microfluidics device. Almost any biological sample (DNA, cells, proteins) can be encapsulated into pico- or nano-liter volume droplets at >10.000 droplets per second. Typical microfluidics device has (1) the inlet for the continuous phase, (2) the inlet for biological sample, and (3) the droplet collection outlet. Bright field and fluorescence images of an emulsion after DNA amplification reaction. Droplets containing amplified DNA exhibit green fluorescence, whereas droplets lacking a template are dark. Scale bars, 50 um.

Mazutis L, Araghi AF, Miller OJ, Baret JC, Frenz L, Janoshazi A, Taly V, Miller BJ, Hutchison JB, Link D, Griffiths AD, Ryckelynck M., (2009) Droplet-based microfluidic systems for high-throughput single DNA molecule isothermal amplification and analysis, Analytical Chemistry 81(12): 4813-21.

Thon JN, Mazutis L, Wu S, Sylman JL, Ehrlicher A, Machlus KR, Feng Q, Lu S, Lanza R, Neeves KB, Weitz DA, Italiano JE (2014) Platelet bioreactor-on-a-chip, Blood, 124(12): 1857-1867

Mazutis L. and A. Griffiths (2012) “Selective droplet coalescence using microfluidic systems”. Lab on a Chip, 12, 1800-1806.

5. Drug delivery systems

Vesicles and microspheres composed of biodegradable polymers are becoming increasingly attractive agents for improved delivery, stabilization and prolonged release of drugs. However, the vast majority of techniques being used for microspheres production are based on mechanical steering or sonication. These methods, although efficient, produce particles with large polydispersity (coefficient of variance C.V. ~10-30%) and therefore impose several limitations. Particle’s size distribution may produce uncontrolled variation in the rate of particle degradation, affect the kinetics of drug release and decrease the stability of encapsulated drugs. In contrast, monodisperse drug-loaded particles offer significantly better control over release kinetics and exhibit a much lower initial drug release burst that is observed when using polydisperse particles. We aim to develop droplet-based microfluidics technology that will be used to create highly monodisperse (C.V. < 0.5%) vesicles and particles for improved drug encapsulation, delivery and release. Microfluidic systems offer a novel way to create and manipulate fluids that is hardly possible using conventional techniques. For instance, miniaturized microfluidic systems have been used to create polymer particles composed of thermosensitive, mechanosensitive, ion-sensitive and biodegradable materials, finding many useful applications in biotechnology and chemical industry. In this project we will develop and apply microfluidic technology for production of nano- and pico-liter volume particles in which inner part of the vesicle will contain preloaded biological or chemical molecules and outer part (shell) will be composed of biodegradable polymer. Additional advantage of using microfluidics is that inner and outer parts of the vesicles can be tuned by controlling the volumetric flow rate ratio, thus allowing precise control over the vesicle size and thickness of the shell.

Objective 5

Figure 5. We have developed a microfluidic approach for production of hydrogel particles having the unique biconcave shape and the size of a mammalian cell (~10 µm). The release of encapsulated antibodies was largely affected by the presence of phosphate ions that chelate calcium (a cross-linker of alginate polymer) and cause the dissolution of hydrogel. In addition, the image shows the biocompatibility of alginate particles in the whole blood.

Vasiliauskas R, Liu D, Cito S, Zhang H, Shahbazi MA, Sikanen T, Mazutis L, Santos HA (2015) A Simple Microfluidic Approach to Fabricate Monodisperse Hollow Microparticles for Multidrug Delivery, ACS Appl. Mater. Interfaces, 7 (27), pp 14822–14832.
Mazutis L, Vasiliauskas R, Weitz D, (2015) Microfluidic Production of Alginate Hydrogel Particles for Antibody Encapsulation and Release, Macromol. Biosci. 2015, 15, 1641–1646

6. DNA-Magnesium-pyrophosphate particle biosynthesis and their use

Compartmentalization and amplification of single DNA molecules inside nano- or pico-liter sized wells and droplets opens new opportunities for biomedical and biological sciences. The most common method of amplifying DNA in a sample involves the polymerase chain reaction (PCR). Yet, amplification of long (>1 kb) single-molecule templates is often inefficient, leading to reduced reaction yields and biases. DNA amplification under isothermal reaction conditions has been shown to generate large amounts of material from a single-copy DNA template. Moreover, the ability to amplify DNA and then express proteins from the clonally amplified template would greatly increase the scope of potential applications.
We employ droplet microfluidics devices to encapsulate and convert single DNA molecules into condensed DNA nanoparticles by a multiple displacement amplification (MDA) reaction driven by phi29 DNA polymerase. The condensed DNA nanoparticles comprise up to ~10.000-100.000 copies of clonally amplified DNA template. Intriguingly, we found that inorganic pyrophosphate, produced during isothermal DNA synthesis, and magnesium ions are a prerequisite for DNA condensation into the crystalline-like globular structures. This process is enhanced when the DNA amplification reaction is performed inside droplets, which can be attributed to the confined volumes and spatial accumulation of the reaction products. We have demonstrated the biological functionality of the DNA nanoparticles, by applying them in in vitro transcription-translation reactions and observed improved protein expression yields relative to standard assay conditions. 

Objective 6 

Figure 6. Generation of DNA-Mg-PP particles. DNA nanoparticle formation induced by inorganic pyrophosphate (PP) and magnesium ions during a phi29-catalyzed DNA polymerization reaction. TEM image of the DNA-Mg-PP particle. The use of DNA for efficient gene expression and protein synthesis in vitro. Read to learn more

Galinis R, Stonyte G, Kiseliovas V, Zilionis R, Studer S, Hilvert D, Janulaitis A and Mazutis L. (2016) DNA nanoparticles for improved protein synthesis in vitro, Angew Chem Int Ed Engl. 2016 Feb 24;55(9):3120-3
Zubaite, G.; Simutis, K.; Galinis, R.; Milkus, V.; Kiseliovas, V.; Mazutis, L. Droplet Microfluidics Approach for Single-DNA Molecule Amplification and Condensation into DNA-Magnesium-Pyrophosphate Particles. Micromachines 2017, 8, 62.

 

Funding sources

European Commission, H2020 program http://ec.europa.eu/research/mariecurieactions/
Lithuanian-Swiss Research and Development cooperation program https://www.cpva.lt/en/lithuanian-swiss-cooperation-programme
The Scientific Exchange Programme (Sciex-NMSch) https://www.swissuniversities.ch/en/topics/sciex/
Agency for Science, Innovation and Technology (MITA) http://www.mita.lt/en
Lithuanian Research Council http://www.lmt.lt/en/about.html


Important publications of our group:

1. Klein M*, Mazutis L*, Akartuna I*, Tallapragada N, Veres A, Li V, Peshkin L, Weitz D and Kirschner M, (2015) Droplet barcoding for single cell transcriptomics applied to embryonic stem cells, Cell, 161(5): 1187–1201
2. Zilionis R., Nainys J, Veres A., Savova V., Zemmour D., Klein MA., and Mazutis L, (2017) Single-cell barcoding and sequencing using droplet microfluidics, Nature Protocols 12, 44–73
3. Azizi E, Carr A, Plitas G., Cornish EA, Konopacki C, Prabhakaran S, Nainys J., Wu K. Kiseliovas V., Setty M., Choi K., Dao P, Mazutis L, Rudensky YA & Peer D, Single-cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment (2018), Cell 174, 1–16, August 23
4. Setty M, Kiseliovas V, Levine J, Gayoso A, Mazutis L, Pe'er D., (2019) Characterization of cell fate probabilities in single-cell data with Palantir, Nat Biotechnol. 2019 Apr;37(4):451-460.
5. Chi, Y., J. Remsik, V. Kiseliovas, C. Derderian, U. Sener, M. Alghader, F. Saadeh, K. Nikishina, T. Bale, C. Iacobuzio-Donahue, T. Thomas, D. Pe'er, L. Mazutis and A. Boire (2020). "Cancer cells deploy lipocalin-2 to collect limiting iron in leptomeningeal metastasis." Science 369(6501): 276-282.

 Hot publications:

1. Pritykin, Y., J. van der Veeken, A. R. Pine, Y. Zhong, M. Sahin, L. Mazutis, D. Pe'er, A. Y. Rudensky and C. S. Leslie (2021). "A unified atlas of CD8 T cell dysfunctional states in cancer and infection." Mol Cell 3;81(11):2477-2493
2. Alonso-Curbelo, D., Y. J. Ho, C. Burdziak, J. L. V. Maag, J. P. t. Morris, R. Chandwani, H. A. Chen, K. M. Tsanov, F. M. Barriga, W. Luan, N. Tasdemir, G. Livshits, E. Azizi, J. Chun, J. E. Wilkinson, L. Mazutis, S. D. Leach, R. Koche, D. Pe'er and S. W. Lowe (2021). "A gene-environment-induced epigenetic program initiates tumorigenesis." Nature 590(7847): 642-648.
3. Leonaviciene, G., Leonavicius, K., Meskys, R. & Mazutis, L. Multi-step processing of single cells using semi-permeable capsules. Lab on a Chip 20, 4052-4062 (2020).


Publications:

2017-present

Pritykin, Y., J. van der Veeken, A. R. Pine, Y. Zhong, M. Sahin, L. Mazutis, D. Pe'er, A. Y. Rudensky and C. S. Leslie (2021). "A unified atlas of CD8 T cell dysfunctional states in cancer and infection." Mol Cell 3;81(11):2477-2493

Guttikonda, S. R., L. Sikkema, J. Tchieu, N. Saurat, R. M. Walsh, O. Harschnitz, G. Ciceri, M. Sneeboer, L. Mazutis, M. Setty, P. Zumbo, D. Betel, L. D. de Witte, D. Pe'er and L. Studer (2021). "Fully defined human pluripotent stem cell-derived microglia and tri-culture system model C3 production in Alzheimer's disease." Nat Neurosci 24(3): 343-354.

Alonso-Curbelo, D., Y. J. Ho, C. Burdziak, J. L. V. Maag, J. P. t. Morris, R. Chandwani, H. A. Chen, K. M. Tsanov, F. M. Barriga, W. Luan, N. Tasdemir, G. Livshits, E. Azizi, J. Chun, J. E. Wilkinson, L. Mazutis, S. D. Leach, R. Koche, D. Pe'er and S. W. Lowe (2021). "A gene-environment-induced epigenetic program initiates tumorigenesis." Nature 590(7847): 642-648.

2020

The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution. Rozenblatt-Rosen O, Regev A, Oberdoerffer P, Nawy T, Hupalowska A, Rood JE, Ashenberg O, Cerami E, Coffey RJ, Demir E, Ding L, Esplin ED, Ford JM, Goecks J, Ghosh S, Gray JW, Guinney J, Hanlon SE, Hughes SK, Hwang ES, Iacobuzio-Donahue CA, Jané-Valbuena J, Johnson BE, Lau KS, Lively T, Mazzilli SA, Pe'er D, Santagata S, Shalek AK, Schapiro D, Snyder MP, Sorger PK, Spira AE, Srivastava S, Tan K, West RB, Williams EH; Human Tumor Atlas Network. Cell. 2020 Apr 16;181(2):236-249.

Laughney AM, Hu J, Campbell NR, Bakhoum SF, Setty M, Lavallée VP, Xie Y, Masilionis I, Carr AJ, Kottapalli S, Allaj V, Mattar M, Rekhtman N, Xavier JB, Mazutis L, Poirier JT, Rudin CM, Pe'er D, Massagué J. Regenerative lineages and immune-mediated pruning in lung cancer metastasis. Nat Med. 2020 Feb;26(2):259-269.

Leonaviciene, G., K. Leonavicius, R. Meskys and L. Mazutis (2020). "Multi-step processing of single cells using semi-permeable capsules." Lab Chip 20(21): 4052-4062.

Gegevicius, E., Goda, K., and Mazutis, L. (2020). CHAPTER 4:Droplet Gene Analysis – Digital PCR. In Droplet Microfluidics, pp. 89–121. DOI: 10.1039/9781839162855-00089

Chi, Y., J. Remsik, V. Kiseliovas, C. Derderian, U. Sener, M. Alghader, F. Saadeh, K. Nikishina, T. Bale, C. Iacobuzio-Donahue, T. Thomas, D. Pe'er, L. Mazutis and A. Boire (2020). "Cancer cells deploy lipocalin-2 to collect limiting iron in leptomeningeal metastasis." Science 369(6501): 276-282.

Ding, R. H., K. C. Hung, A. Mitra, L. W. Ung, D. Lightwood, R. Tu, D. Starkie, L. H. Cai, L. Mazutis, S. R. Chong, D. A. Weitz and J. A. Heyman (2020). "Rapid isolation of antigen-specific B-cells using droplet microfluidics." RSC Advances 10(45): 27006-27013.

Karthaus, W. R., M. Hofree, D. Choi, E. L. Linton, M. Turkekul, A. Bejnood, B. Carver, A. Gopalan, W. Abida, V. Laudone, M. Biton, O. Chaudhary, T. H. Xu, I. Masilionis, K. Manova, L. Mazutis, D. Pe'er, A. Regev and C. L. Sawyers (2020). "Regenerative potential of prostate luminal cells revealed by single-cell analysis." Science 368(6490): 497.

Kim, S. H., A. Holland, A. Jimenez-Sanchez, Y. Bykov, R. M. Fromme, A. Stylianou, T. Walther, C. Liu, M. M. Leitao, O. Zivanovic, Y. Sonoda, D. S. Chi, N. R. Abu-Rustum, L. Mazutis, G. Plitas, T. J. Hollmann, B. Weigelt, D. Pe'er and D. Zamarin (2020). "Compositional and architectural characterization of high-grade serous ovarian carcinomas using single cell technologies and multiplex microscopy." Gynecologic Oncology 159: 44-44.

Marjanovic, N. D., M. Hofree, J. E. Chan, D. Canner, K. Wu, M. Trakala, G. G. Hartmann, O. C. Smith, J. Y. Kim, K. V. Evans, A. Hudson, O. Ashenberg, C. B. M. Porter, A. Bejnood, A. Subramanian, K. Pitter, Y. Yan, T. Delorey, D. R. Phillips, N. Shah, O. Chaudhary, A. Tsankov, T. Hollmann, N. Rekhtman, P. P. Massion, J. T. Poirier, L. Mazutis, R. Li, J. H. Lee, A. Amon, C. M. Rudin, T. Jacks, A. Regev and T. Tammela (2020). "Emergence of a High-Plasticity Cell State during Lung Cancer Evolution." Cancer Cell 38(2): 229-246 e213.

Morello, F., D. Borshagovski, M. Survila, L. Tikker, S. Sadik-Ogli, A. Kirjavainen, N. Estartus, L. Knaapi, L. Lahti, P. Toronen, L. Mazutis, A. Delogu, M. Salminen, K. Achim and J. Partanen (2020). "Molecular Fingerprint and Developmental Regulation of the Tegmental GABAergic and Glutamatergic Neurons Derived from the Anterior Hindbrain." Cell Rep 33(2): 108268.

Xue, J. Y., Y. L. Zhao, J. Aronowitz, T. T. Mai, A. Vides, B. Qeriqi, D. Kim, C. C. Li, E. de Stanchina, L. Mazutis, D. Risso and P. Lito (2020). "Rapid non-uniform adaptation to conformation-specific KRAS(G12C) inhibition." Nature 577(7790): 421-425.

2019

Cai XC, Zhang T, Kim EJ, Jiang M, Wang K, Wang J, Chen S, Zhang N, Wu H, Li F, Dela Seña CC, Zeng H, Vivcharuk V, Niu X, Zheng W, Lee JP, Chen Y, Barsyte D, Szewczyk M, Hajian T, Ibáñez G, Dong A, Dombrovski L, Zhang Z, Deng H, Min J, Arrowsmith CH, Mazutis L, Shi L, Vedadi M, Brown PJ, Xiang J, Qin LX, Xu W, Luo M. A chemical probe of CARM1 alters epigenetic plasticity against breast cancer cell invasion. eLife. 2019 Oct 28;8:e47110.

Brown CC, Gudjonson H, Pritykin Y, Deep D, Lavallée VP, Mendoza A, Fromme R, Mazutis L, Ariyan C, Leslie C, Pe'er D, Rudensky AY. Transcriptional Basis of Mouse and Human Dendritic Cell Heterogeneity. Cell. 2019 Oct 31;179(4):846-863.e24.

Setty M, Kiseliovas V, Levine J, Gayoso A, Mazutis L, Pe'er D., (2019) Characterization of cell fate probabilities in single-cell data with Palantir, Nat Biotechnol. 2019 Apr;37(4):451-460.

van der Veeken J, Zhong Y, Sharma R, Mazutis L, Dao P, Pe'er D, Leslie CS, Rudensky AY. (2019) Natural Genetic Variation Reveals Key Features of Epigenetic and Transcriptional Memory in Virus-Specific CD8 T Cells, Immunity. 2019 May 21;50(5):1202-1217

Nainys, Juozas, Valdemaras Milkus, and Linas Mažutis. "Single-cell screening using microfluidic systems." Microfluidics for Pharmaceutical Applications. William Andrew Publishing, 2019. 353-367.

 Karolis S, Stonyte G, and Mažutis L. "Antibody discovery using microfluidic systems." Microfluidics for Pharmaceutical Applications. William Andrew Publishing, 2019. 337-351.

2018

X Fan, B Moltedo, A Mendoza, AN Davydov, MB Faire, L Mazutis, R Sharma, D Pe’er, DM Chudakov, AY Rudensky, CD49b defines functionally mature Treg cells that survey skin and vascular tissues (2018), Journal of Experimental Medicine 215 (11), 2796-2814

K Leonavicius, J Nainys, D Kuciauskas, L Mazutis, Multi-omics at single-cell resolution: comparison of experimental and data fusion approaches, (2019) Current Opinion in Biotechnology 55, 159-166

Azizi E, Carr A, Plitas G., Cornish EA, Konopacki C, Prabhakaran S, Nainys J., Wu K. Kiseliovas V., Setty M., Choi K., Dao P, Mazutis L, Rudensky YA & Peer D, Single-cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment (2018), Cell 174, 1–16, August 23

van Dijk D, Sharma R, Nainys J, Yim K, Kathail P, Carr A., Burdziak C., Moon RK,Chaffer C., Pattabiraman D, Bierie B, Mazutis L., Wolf G., Krishnaswamy S., Peer D.
Recovering gene interactions from single-cell data using data diffusion, (2018) Cell, 174, 716-729, July 29

2010-2017

Zilionis R., Nainys J, Veres A., Savova V., Zemmour D., Klein MA., and Mazutis L, (2017) Single-cell barcoding and sequencing using droplet microfluidics, Nature Protocols 12, 44–73

Einav T., Mazutis L, and Phillips R, (2016) Statistical Mechanics of Allosteric Enzymes, J. Phys. Chem. B, 120 (26), pp 6021–6037.

Galinis R, Stonyte G, Kiseliovas V, Zilionis R, Studer S, Hilvert D, Janulaitis A and Mazutis L. (2016) DNA nanoparticles for improved protein synthesis in vitro, Angew. Chem. Int Ed, 55, 3120-3123

Wagner O, Thiele J, Weinhart M, Mazutis L, Weitz D, Huck W Haag R. (2016) Biocompatible fluorinated polyglycerols for droplet microfluidics as an alternative to PEG- based copolymer surfactants, Lab on a Chip, 16, 65-69

Mazutis L, Vasiliauskas R, Weitz D, (2015) Microfluidic Production of Alginate Hydrogel Particles for Antibody Encapsulation and Release, Macromol. Biosciences, 15, 1641–1646

Vasiliauskas R, Liu D, Cito S, Zhang H, Shahbazi MA, Sikanen T, Mazutis L, Santos HA (2015) A Simple Microfluidic Approach to Fabricate Monodisperse Hollow Microparticles for Multidrug Delivery, ACS Appl. Mater. Interfaces, 7 (27), pp 14822–14832.

Bender M, Thon JN, Ehrlicher AJ, Wu S, Mazutis L, Deschmann E, Sola-Visner M, Italiano JE Jr, Hartwig JH. (2015) Dynein-dependent microtubule sliding drives proplatelet elongation, Journal of Thrombosis and Haemostasis, 13:184.

Klein M*, Mazutis L*, Akartuna I*, Tallapragada N, Veres A, Li V, Peshkin L, Weitz D and Kirschner M, (2015) Droplet barcoding for single cell transcriptomics applied to embryonic stem cells, Cell, 161(5): 1187–1201 * - joint first co-authors, 

Bender M, Thon JN, Ehrlicher AJ, Wu S, Mazutis L, Deschmann E, Sola-Visner M, Italiano JE Jr, Hartwig JH. (2015) Microtubule sliding drives proplatelet elongation and is dependent on cytoplasmic dynein, Blood, 125(5): 860-868

Shekhar S., L. Zhu, L. Mazutis, A. E. Sgro, T. G. Fai, and M. Podolski (2014) Quantitative biology: where modern biology meets physical sciences, Molecular Biology of the Cell, Nov.5, vol.25, no.22, 3482.

Thon JN, Mazutis L, Wu S, Sylman JL, Ehrlicher A, Machlus KR, Feng Q, Lu S, Lanza R, Neeves KB, Weitz DA, Italiano JE (2014) Platelet bioreactor-on-a-chip, Blood, 124(12): 1857-1867

Mazutis L., Gilbert J., Ung L., Weitz D., Griffiths A., Heyman J., (2013) Single-cell analysis and sorting using droplet-based microfluidics, Nature Protocols, 8(5): 870-891

Mazutis L. and A. Griffiths (2012) Selective droplet coalescence using microfluidic systems, Lab on a Chip, 12, 1800-1806.

Skhiri, Y.; Gruner, P.; Semin, B.; Brosseau, Q.; Pekin, D.; Mazutis, L.; Goust, V.; Kleinschmidt, F.; El Harrak, A.; Hutchison, J. B.; Mayot, E.; Bartolo, J. F.; Griffiths, A. D.; Taly, V.; Baret, J. C.,  (2012) Dynamics of molecular transport by surfactants in emulsions, Soft Matter, 8 (41), 10618-10627.

Pekin, D.; Skhiri, Y.; Baret, J. C.; Le Corre, D.; Mazutis, L.; Salem, C. B.; Millot, F.; El Harrak, A.; Hutchison, J. B.; Larson, J. W.; Link, D. R.; Laurent-Puig, P.; Griffiths, A. D.; Taly, V., (2011) Quantitative and sensitive detection of rare mutations using droplet-based microfluidics. Lab Chip, 11(13), 2156-66.

Until 2010

Mazutis L. and A. D. Griffiths (2009) Preparation of monodisperse emulsions by hydrodynamic size fractionation, Appl. Phys. Lett. 95(20): 204103.

Mazutis L, Baret JC, Treacy P, Skhiri Y, Araghi AF, Ryckelynck M, Taly V, Griffiths AD. (2009) Multi-step microfluidic droplet processing: kinetic analysis of an in vitro translated enzyme, Lab on a Chip 9(20): 2902-8. 

Mazutis L, Baret JC, Griffiths AD (2009) A fast and efficient microfluidic system for highly selective one-to-one droplet fusion, Lab Chip 9(18): 2665-72

Mazutis L, Araghi AF, Miller OJ, Baret JC, Frenz L, Janoshazi A, Taly V, Miller BJ, Hutchison JB, Link D, Griffiths AD, Ryckelynck M. (2009) Droplet-based microfluidic systems for high-throughput single DNA molecule isothermal amplification and analysis, Analytical Chemistry 81(12): 4813-21.

Departments

Information will be available soon.

BI Publications

2024

  • Dapkūnas J, Timinskas A, Olechnovič K, Tomkuvienė M, Venclovas Č. (2024) PPI3D: a web server for searching, analyzing and modeling protein-protein, protein-peptide and protein-nucleic acid interactions. Nucleic Acids Res, doi: 10.1093/nar/gkae278 [PubMed]

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  • Manakova E, Golovinas E, Pocevičiūtė R, Sasnauskas G, Silanskas A, Rutkauskas D, Jankunec M, Zagorskaitė E, Jurgelaitis E, Grybauskas A, Venclovas Č, Zaremba M. (2024) The missing part: the Archaeoglobus fulgidus Argonaute forms a functional heterodimer with an N-L1-L2 domain protein. Nucleic Acids Res, 52(5):2530–2545. doi: 10.1093/nar/gkad1241 [PubMed]

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2023

  • Mogila I, Tamulaitiene G, Keda K, Timinskas A, Ruksenaite A, Sasnauskas G, Venclovas Č, Siksnys V, Tamulaitis G. (2023) Ribosomal stalk-captured CARF-RelE ribonuclease inhibits translation following CRISPR signaling. Science, 382(6674):1036-1041. doi: 10.1126/science.adj2107

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  • Lensink MF, et al. (2023) Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment. Proteins, 91(12):1658-1683. doi: 10.1002/prot.26609

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  • Olechnovič, K, Valančauskas, L, Dapkūnas, J, Venclovas, Č. (2023) Prediction of protein assemblies by structure sampling followed by interface-focused scoring. Proteins, 91(12):1724-1733. doi: 10.1002/prot.26569

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  • Olechnovič K and Venclovas Č. (2023) VoroIF-GNN: Voronoi tessellation-derived protein–protein interface assessment using a graph neural network. Proteins, 91(12):1879-1888. doi: 10.1002/prot.26554

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  • Gessner et al. (2023) Investigating the composition and recruitment of the mycobacterial ImuA′–ImuB–DnaE2 mutasome. eLife 12:e75628., doi: 10.7554/eLife.75628

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  • Schweke et al. (2023) Discriminating physiological from non-physiological interfaces in structures of protein complexes: A community-wide study. Proteomics, e2200323. doi: 10.1002/pmic.202200323 [PubMed]

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  • Gromiha MM, Kundrotas P, Marti MA, Venclovas Č, Li M. (2023) Protein recognition and associated diseases. Front Bioinform, 3:1215141. doi: 10.3389/fbinf.2023.1215141 [PubMed]

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  • Sasnauskas G, Tamulaitiene G, Druteika G, Carabias A, Silanskas A, Kazlauskas D, Venclovas Č, Montoya G, Karvelis T, Siksnys V. (2023) TnpB structure reveals minimal functional core of Cas12 nuclease family. Nature, 616:384-389. doi: 10.1038/s41586-023-05826-x [PubMed]

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2022

  • Zaremba M, Dakineviciene D, Golovinas E, Zagorskaitė E, Stankunas E, Lopatina A, Sorek R, Manakova E, Ruksenaite A, Silanskas A, Asmontas S, Grybauskas A, Tylenyte U, Jurgelaitis E, Grigaitis R, Timinskas K, Venclovas Č, Siksnys V. (2022) Short prokaryotic Argonautes provide defence against incoming mobile genetic elements through NAD+ depletion. Nat Microbiol, 7:1857-1869. doi: 10.1038/s41564-022-01239-0 [PubMed]

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2021

  • Karvelis T, Druteika G, Bigelyte G, Budre K, Zedaveinyte R, Silanskas A, Kazlauskas D, Venclovas Č, Siksnys V. (2021) Transposon-associated TnpB is a programmable RNA-guided DNA endonuclease. Nature; doi: 10.1038/s41586-021-04058-1 [PubMed]

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  • Kryshtafovych A, Moult J, Billings WM, Della Corte D, Fidelis K, Kwon S, Olechnovič K, Seok C, Venclovas Č, Won J. (2021) Modeling SARS-CoV2 proteins in the CASP-commons experiment, Proteins; doi: 10.1002/prot.26231 [PubMed]

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  • Lensink MF et al. (2021) Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment, Proteins; doi: 10.1002/prot.26222 [PubMed]

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  • Dapkūnas J, Olechnovič K and Venclovas Č. (2021) Modeling of protein complexes in CASP14 with emphasis on the interaction interface prediction, Proteins; doi: 10.1002/prot.26167 [PubMed]

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  • Olechnovič K and Venclovas Č. (2021) VoroContacts: a tool for the analysis of interatomic contacts in macromolecular structures, Bioinformatics; doi: 10.1093/bioinformatics/btab448 [PubMed]

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  • Igashov I, Olechnovič K, Kadukova M, Venclovas Č, and Grudinin S. (2021) VoroCNN: Deep convolutional neural network built on 3D Voronoi tessellation of protein structures, Bioinformatics; doi: 10.1093/bioinformatics/btab118 [PubMed]

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  • Laan M, Kasak L, Timinskas K, Grigorova M, Venclovas Č, Renaux A, Lenaerts T, Punab M. (2021) NR5A1 c.991-1G > C splice-site variant causes familial 46,XY partial gonadal dysgenesis with incomplete penetrance. Clin Endocrinol, 94(4):656-666. doi: 10.1111/cen.14381 [PubMed]

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2020

  • Gasiunas G, Young JK, Karvelis T, Kazlauskas D, Urbaitis T, Jasnauskaite M, Grusyte MM, Paulraj S, Wang PH, Hou Z, Dooley SK, Cigan M, Alarcon C, Chilcoat ND, Bigelyte G, Curcuru JL, Mabuchi M, Sun Z, Fuchs RT, Schildkraut E, Weigele PR, Jack WE, Robb GB, Venclovas Č, Siksnys V. (2020) A catalogue of biochemically diverse CRISPR-Cas9 orthologs. Nat Commun, 11(1):5512. doi: 10.1038/s41467-020-19344-1 [PubMed]

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  • Kazlauskas D, Krupovic M, Guglielmini J, Forterre P, Venclovas Č. (2020) Diversity and evolution of B-family DNA polymerases. Nucleic Acids Res, 48(18):10142–1015. doi: 10.1093/nar/gkaa760 [PubMed]

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  • Makarova KS, Timinskas A, Wolf YI, Gussow AB, Siksnys V, Venclovas Č, Koonin EV. (2020) Evolutionary and functional classification of the CARF domain superfamily, key sensors in prokaryotic antivirus defense. Nucleic Acids Res, 48(16):8828-8847. doi: 10.1093/nar/gkaa635 [PubMed]

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  • Karvelis T, Bigelyte G, Young JK, Hou Z, Zedaveinyte R, Budre K, Paulraj S, Djukanovic V, Gasior S, Silanskas A, Venclovas Č, Siksnys V. (2020) PAM recognition by miniature CRISPR–Cas12f nucleases triggers programmable double-stranded DNA target cleavage. Nucleic Acids Res, 48(9):5016-5023. doi: 10.1093/nar/gkaa208 [PubMed]

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  • Dapkūnas J, Venclovas Č. (2020) Template-Based Modeling of Protein Complexes Using the PPI3D Web Server. Methods Mol Biol. 2165:139-155. doi: 10.1007/978-1-0716-0708-4_8 [PubMed]

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  • Olechnovič K, Venclovas Č. (2020) Contact Area-Based Structural Analysis of Proteins and Their Complexes Using CAD-Score. Methods Mol Biol. 2112:75-90. doi: 10.1007/978-1-0716-0270-6_6 [PubMed]

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  • Makarova KS, Wolf YI, Iranzo J, Shmakov SA, Alkhnbashi OS, Brouns SJJ, Charpentier E, Cheng D, Haft DH, Horvath P, Moineau S, Mojica FJM, Scott D, Shah SA, Siksnys V, Terns MP, Venclovas Č, White MF, Yakunin AF, Yan W, Zhang F, Garrett RA, Backofen R, van der Oost J, Barrangou R, Koonin EV. (2020) Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants. Nat Rev Microbiol, 18:67–83. doi: 10.1038/s41579-019-0299-x [PubMed]

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  • Dapkūnas J, Kairys V, Olechnovič K, Venclovas Č. (2020) Template-based modeling of diverse protein interactions in CAPRI rounds 38-45. Proteins, 88(8):939-94. doi: 10.1002/prot.25845 [PubMed]

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2019

  • Lensink et al. (2019) Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment. Proteins, 87(12):1200-1221. doi: 10.1002/prot.25838. [PubMed]

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  • Dapkūnas J, Olechnovič K, Venclovas Č. (2019) Structural modeling of protein complexes: current capabilities and challenges. Proteins, 87(12):1222-1232. doi: 10.1002/prot.25774. [PubMed]

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  • Cheng J, Choe MH, Elofsson A, Han KS, Hou J, Maghrabi AHA, McGuffin LJ, Menéndez-Hurtado D, Olechnovič K, Schwede T, Studer G, Uziela K, Venclovas Č, Wallner B. (2019) Estimation of model accuracy in CASP13. Proteins, 87(12):1361-1377. doi: 10.1002/prot.25767. [PubMed]

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  • Olechnovič K, Venclovas Č. (2019) VoroMQA web server for assessing three-dimensional structures of proteins and protein complexes. Nucleic Acids Res. 47: W437–W442. [PubMed]

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  • Timinskas K, Venclovas Č. (2019) New insights into the structures and interactions of bacterial Y-family DNA polymerases. Nucleic Acids Res, 47(9):4393-4405. [PubMed]

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  • Olechnovič K, Monastyrskyy B, Kryshtafovych A, Venclovas Č. (2019) Comparative analysis of methods for evaluation of protein models against native structures. Bioinformatics, 35(6):937-944. [PubMed]

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2018

  • Drabavicius G, Sinkunas T, Silanskas A, Gasiunas G, Venclovas Č, Siksnys V. (2018) DnaQ exonuclease-like domain of Cas2 promotes spacer integration in a type I-E CRISPR-Cas system. EMBO Rep. 19:e45543. [PubMed]

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  • Toliusis P, Tamulaitiene G, Grigaitis R, Tuminauskaite D, Silanskas A, Manakova E, Venclovas Č, Szczelkun MD, Siksnys V, Zaremba M. (2018) The H-subunit of the restriction endonuclease CglI contains a prototype DEAD-Z1 helicase-like motor. Nucleic Acids Res. 46(5):2560-2572. [PubMed]

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  • Kazlauskas D, Sezonov G, Charpin N, Venclovas Č, Forterre P, Krupovic M. (2018) Novel Families of Archaeo-Eukaryotic Primases Associated with Mobile Genetic Elements of Bacteria and Archaea. J Mol Biol. 430(5):737-750. [PubMed]

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  • Dapkūnas J, Olechnovič K, Venclovas Č. (2018) Modeling of protein complexes in CAPRI round 37 using template-based approach combined with model selection. Proteins, 86 Suppl 1:292-301. [PubMed]

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2017

  • Kazlauskiene M, Kostiuk G, Venclovas Č, Tamulaitis G, Siksnys V. (2017) A cyclic oligonucleotide signaling pathway in type III CRISPR-Cas systems. Science, 357(6351):605-609 [PubMed]

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  • Olechnovič K, Venclovas Č. (2017) VoroMQA: Assessment of protein structure quality using interatomic contact areas. Proteins, 85(6):1131-1145. [PubMed ]  Featured as a cover story

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  • Shemesh K, Sebesta M, Pacesa M, Sau S, Bronstein A, Parnas O, Liefshitz B, Venclovas Č, Krejci L, Kupiec M. (2017) A structure-function analysis of the yeast Elg1 protein reveals the importance of PCNA unloading in genome stability maintenance. Nucleic Acids Res, 45(6):3189-3203 [PubMed]

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  • Dapkūnas J, Timinskas A, Olechnovič K, Margelevičius M, Dičiūnas R, Venclovas Č. (2017) The PPI3D web server for searching, analyzing and modeling protein-protein interactions in the context of 3D structures. Bioinformatics, 33(6):935-937 [PubMed]

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  • Tamulaitis G, Venclovas Č, Siksnys V. (2017) Type III CRISPR-Cas immunity: major differences brushed aside. Trends Microbiol, 25:49-61 [PubMed]

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2016

  • Venclovas Č. (2016) Structure of Csm2 elucidates the relationship between small subunits of CRISPR-Cas effector complexes. FEBS Lett, 590:1521-9 [PubMed]  Featured as a cover story

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  • Kazlauskas D, Krupovic M, Venclovas Č. (2016) The logic of DNA replication in double-stranded DNA viruses: insights from global analysis of viral genomes. Nucleic Acids Res, 44:4551-64[PubMed]

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  • Kazlauskiene M, Tamulaitis G, Kostiuk G, Venclovas Č, Siksnys V. (2016) Spatiotemporal control of Type III-A CRISPR-Cas immunity: coupling DNA degradation with the target RNA recognition. Mol Cell, 62:295-306 [PubMed]

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2015

  • Achar YJ, Balogh D, Neculai D, Juhasz S, Morocz M, Gali H, Dhe-Paganon S, Venclovas Č, Haracska L. (2015) Human HLTF mediates postreplication repair by its HIRAN domain-dependent replication fork remodelling. Nucleic Acids Res, 43:10277-91 [PubMed]

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  • Baranauskė S, Mickutė M, Plotnikova A, Finke A, Venclovas Č, Klimašauskas S, Vilkaitis G. (2015) Functional mapping of the plant small RNA methyltransferase: HEN1 physically interacts with HYL1 and DICER-LIKE 1 proteins. Nucleic Acids Res, 43:2802-2812 [PubMed]

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  • Zilnyte M, Venclovas Č, Zvirbliene A, Pleckaityte M. (2015) The cytolytic activity of vaginolysin strictly depends on cholesterol and is potentiated by human CD59. Toxins, 7:110-128. [PubMed]

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2014

  • Tamulaitis G, Kazlauskiene M, Manakova E, Venclovas Č, Nwokeoji AO, Dickman MJ, Horvath P, Siksnys V. (2014) Programmable RNA Shredding by the Type III-A CRISPR-Cas System of Streptococcus thermophilus. Mol Cell, 56:506-517. [PubMed]

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  • Kazlauskas D, Venclovas Č. (2014) Herpesviral helicase-primase subunit UL8 is inactivated B-family polymerase. Bioinformatics, 30(15):2093-2097. [PubMed]

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  • Olechnovič K, Venclovas Č. (2014) The CAD-score web server: contact area-based comparison of structures and interfaces of proteins, nucleic acids and their complexes. Nucleic Acids Res,42(Web Server issue):W259-W263 [PubMed] NAR Breakthrough Article

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  • Olechnovič K, Venclovas Č. (2014) The use of interatomic contact areas to quantify discrepancies between RNA 3D models and reference structures. Nucleic Acids Res, 42:5407-5415 [PubMed]

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  • Fang J, Nevin P, Kairys V, Venclovas Č, Engen JR, Beuning PJ. (2014) Conformational analysis of processivity clamps in solution demonstrates that tertiary structure does not correlate with protein dynamics. Structure, 22:572-581 [PubMed]

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  • Olechnovič K, Venclovas Č. (2014) Voronota: A fast and reliable tool for computing the vertices of the Voronoi diagram of atomic balls. J Comput Chem, 35:672-81 [PubMed]

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  • Timinskas K, Balvočiūtė M, Timinskas A, Venclovas Č. (2014) Comprehensive analysis of DNA polymerase III alpha subunits and their homologs in bacterial genomes. Nucleic Acids Res, 42:1393-1413 [PubMed]

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2013

  • Gopinath K, Venclovas Č, Ioerger TR, Sacchettini JC, McKinney JD, Mizrahi V, Warner DF. (2013) A vitamin B12 transporter in Mycobacterium tuberculosis. Open Biol, 3:120175. [PubMed]

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  • Olechnovič K, Kulberkytė E, Venclovas Č. (2013) CAD-score: A new contact area difference-based function for evaluation of protein structural models. Proteins, 81:149–162. [PubMed]

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2012

  • Kazlauskas D, Venclovas Č. (2012) Two distinct SSB protein families in nucleo-cytoplasmic large DNA viruses. Bioinformatics, 28: 3186-3190. [PubMed]

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  • Nagirnaja L, Venclovas Č, Rull K, Jonas KC, Peltoketo H, Christiansen OB, Kairys V, Kivi G, Steffensen R, Huhtaniemi IT, Laan M. (2012) Structural and functional analysis of rare missense mutations in human chorionic gonadotropin beta-subunit. Mol Hum Reprod, 18:379-390. [PubMedFeatured as a cover story

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  • Venclovas Č. (2012) Methods for sequence-structure alignment. Methods Mol Biol, 857:55-82. [PubMed]

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2011

  • Timinskas K, Venclovas Č. (2011) The N-terminal region of the bacterial DNA polymerase PolC features a pair of domains, both distantly related to domain V of the DNA polymerase III tau subunit.FEBS J, 278:3109-3118. [PubMed]

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  • Kazlauskas D, Venclovas Č. (2011) Computational analysis of DNA replicases in double-stranded DNA viruses: relationship with the genome size. Nucleic Acids Res, 39:8291-305. [PubMed]

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  • Olechnovič K, Margelevičius M, Venclovas Č. (2011) Voroprot: an interactive tool for the analysis and visualization of complex geometric features of protein structure. Bioinformatics, 27:723-724.[PubMed]

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  • Laganeckas M, Margelevičius M, Venclovas Č. (2011) Identification of new homologs of PD-(D/E)XK nucleases by support vector machines trained on data derived from profile-profile alignments.Nucleic Acids Res, 39:1187-1196. [PubMed]

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  • Barsky D, Laurence TA, Venclovas Č. (2011) How proteins slide on DNA. In Biophysics of DNA-protein interactions: From single molecules to biological systems, M.C. Williams and Maher, L.J. III, eds., Springer Science + Business Media, LLC, p.39-68. [Publisher link]

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2010

  • Warner DF, Ndwandwe DE, Abrahams GL, Kana BD, Machowski EE, Venclovas Č, Mizrahi V. (2010) Essential roles for imuA'- and imuB-encoded accessory factors in DnaE2-dependent mutagenesis in Mycobacterium tuberculosis. Proc Natl Acad Sci USA, 107:13093-13098. [PubMed]

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  • Margelevičius M, Laganeckas M, and Venclovas Č. (2010) COMA server for protein distant homology search. Bioinformatics, 26:1905-1906. [PubMed]

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  • Margelevičius M and Venclovas Č. (2010) Detection of distant evolutionary relationships between protein families using theory of sequence profile-profile comparison. BMC Bioinformatics, 11:89.[PubMed]

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  • Zubrienė A, Gutkowska M, Matulienė J, Chaleckis R, Michailovienė V, Voroncova A, Venclovas Č, Zylicz A, Zylicz M, Matulis D. (2010) Thermodynamics of radicicol binding to human Hsp90 alpha and beta isoforms. Biophys Chem, 152:153-163. [PubMed]

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2009

  • Venclovas Č and Margelevičius M. (2009) The use of automatic tools and human expertise in template-based modeling of CASP8 target proteins. Proteins, 77 Suppl 9:81-88. [ PubMed]

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2008

  • McCauley MJ, Shokri L, Sefcikova J, Venclovas Č, Beuning PJ, Williams M. (2008) Distinct double- and single-stranded DNA binding of E. coli replicative DNA polymerase III alpha subunit. ACS Chem Biol, 3:577-587. [ PubMed]

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  • Repšys V, Margelevičius M, and Venclovas Č. (2008) Re-searcher: a system for recurrent detection of homologous protein sequences. BMC Bioinformatics, 9:296. [PubMed]

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2007

  • Jurėnaitė-Urbanavičienė S, Šerkšnaitė J, Kriukienė E, Giedrienė J, Venclovas Č, Lubys A. (2007) Generation of DNA cleavage specificities of type II restriction endonucleases by reassortment of target recognition domains. Proc Natl Acad Sci USA, 104:10358-10363. [PubMed]

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  • Sukackaite R, Lagunavicius A, Stankevicius K, Urbanke C, Venclovas Č, Siksnys V. (2007) Restriction endonuclease BpuJI specific for the 5'-CCCGT sequence is related to the archaeal Holliday junction resolvase family. Nucleic Acids Res., 35:2377-2389. [PubMed]

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2006

  • Shi G, Chang DY, Cheng CC, Guan X, Venclovas Č, Lu A-L. (2006) Physical and functional interactions between MutY homolog (MYH) and checkpoint proteins Rad9-Rad1-Hus1. Biochem J., 400:53-62. [PubMed]

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2005

  • Barsky D, Venclovas Č. (2005) DNA sliding clamps: just the right twist to load onto DNA. Curr Biol. 15:R989-R992. [PubMed]

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  • Venclovas Č, Margelevičius M. (2005) Comparative modeling in CASP6 using consensus approach to template selection, sequence-structure alignment and structure assessment. Proteins, 61 Suppl 7:99-105. [PubMed]

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  • Kryshtafovych A, Venclovas Č, Fidelis K, Moult J. (2005) Progress over the first decade of CASP experiments. Proteins, 61 Suppl 7:225-36. [PubMed]

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  • Margelevičius M, Venclovas Č. (2005) PSI-BLAST-ISS: an intermediate sequence search tool for estimation of the position-specific alignment reliability. BMC Bioinformatics, 6:185. [PubMed]

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2004

  • Daujotytė D, Serva S, Vilkaitis G, Merkienė E, Venclovas Č, Klimašauskas S. (2004) HhaI DNA methyltransferase uses the protruding Gln237 for active flipping of its target cytosine. Structure, 12:1047-55. [PubMed]

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  • Venclovas Č, Ginalski K, Kang C. (2004) Sequence-structure mapping errors in the PDB: OB-fold domains. Protein Sci, 13:1594-1602. [PubMed]

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2003

  • Venclovas Č. (2003) Comparative modeling in CASP5: progress is evident, but alignment errors remain a significant hindrance. Proteins, 53, Suppl 6: 380-388. [PubMed]

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  • Venclovas Č, Zemla A, Fidelis K, Moult J. (2003) Assessment of progress over the CASP experiments. Proteins, 53, Suppl 6:585-595. [PubMed]

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  • Winthrop MD, DeNardo SJ, Albrecht H, Mirick GR, Kroger LA, Lamborn KR, Venclovas Č, Colvin ME, Burke PA, DeNardo GL. (2003) Selection and characterization of anti-MUC-1 scFvs intended for targeted therapy. Clinical Cancer Research, 9 (10 Pt 2):3845S-3853S. [PubMed]

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2002

  • Venclovas Č, Colvin ME, Thelen MP. (2002) Molecular modeling-based analysis of interactions in the RFC-dependent clamp-loading process. Protein Sci., 11: 2403-2416. [PubMed]

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  • Bitinaitė J, Mitkaitė G, Daukšaitė V, Jakubauskas A, Timinskas A, Vaišvila R, Lubys A, Janulaitis A. (2002) Evolutionary relationship of Alw26I, Eco31I and Esp3I, restriction endonucleases that recognise overlapping sequences. Mol Genet Genomics, 267:664-672. [PubMed]

 

  • Vilkaitis G, Lubys A, Merkienė E, Timinskas A, Janulaitis A, Klimašauskas S. (2002) Circular permutation of DNA cytosine-N4 methyltransferases: in vivo coexistence in the BcnI system and in vitro probing by hybrid formation. Nucleic Acids Res. 30:1547-1557 [PubMed]

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2001

  • Venclovas Č, Zemla A, Fidelis K, Moult J. (2001) Comparison of performance in successive CASP experiments. Proteins, Suppl. 5:163-170 [PubMed]

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  • Venclovas Č. (2001) Comparative modeling of CASP4 target proteins: combining results of sequence search with three-dimensional structure assessment. Proteins, Suppl. 5:47-54. [PubMed]

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  • Zemla A, Venclovas Č, Moult J, Fidelis K. (2001) Processing and Evaluation of Predictions in CASP4. Proteins, Suppl. 5:13–21. [PubMed]

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  • Česnavičienė E, Petrušytė M, Kazlauskienė R, Manelienė Z, Timinskas A, Lubys A, Janulaitis A. (2001) Characterization of AloI, a restriction-modification system of a new type. J Mol Biol. 314:205-216. [PubMed]

 

  • Vitkutė J, Stankevičius K, Tamulaitienė G, Manelienė Z, Timinskas A, Berg DE, Janulaitis A. (2001) Specificities of eleven different DNA methyltransferases of Helicobacter pylori strain 26695. J Bacteriol. 183:443-450.[PubMed]

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2000

  • Ginalski K, Venclovas Č, Lesyng B, Fidelis K. (2000) Structure-based sequence alignment for the beta-trefoil sub-domain of the clostridial neurotoxin family provides residue level information about the putative ganglioside binding site. FEBS Lett., 482:119-124. [PubMed]

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  • Venclovas Č, Thelen M. (2000) Structure-based predictions of Rad1, Rad9, Hus1 and Rad17 participation in sliding clamp and clamp-loading complexes. Nucleic Acids Res., 28:2481-2493.[PubMed]

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1999

  • Venclovas Č, Ginalski K, Fidelis K. (1999) Addressing the issue of sequence-to-structure alignments in comparative modeling of CASP3 target proteins. Proteins, Suppl. 3:73-80. [PubMed]

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  • Venclovas Č, Zemla A, Fidelis K, Moult J. (1999) Some measures of comparative performance in the three CASPs. Proteins, Suppl. 3: 231-237. [PubMed]

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  • Zemla A, Venclovas Č, Moult J, Fidelis K. (1999) Processing and Analysis of CASP3 Protein Structure Predictions. Proteins, Suppl. 3:22-29. [PubMed]

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  • Thelen M, Venclovas Č, Fidelis K. (1999) A sliding clamp model for the Rad1 family of cell cycle checkpoint proteins. Cell, 96:769-770. [PubMed]

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  • Zemla A, Venclovas Č, Fidelis K, Rost B. (1999) A modified definition of Sov, a segment based measure for protein secondary structure prediction assessment. Proteins, 34:220-223. [PubMed]

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Department of Biological DNA Modification

 2O6A7425x.jpg Head
Saulius KLIMAŠAUSKAS 
Dr. Habil., FRSC
Distinguished Professor
ORCID; Google Scholar;  ResearcherID
phone: +370 5 2234350
fax: +370 5 2234367
e-mail: saulius.klimasauskas (at) bti.vu.lt

Research Staff                               PhD students             

Giedrius VILKAITIS, Ph.D.                Bernadeta MASIULIONYTĖ, M.Sc.
Edita KRIUKIENĖ,  Ph.D.                  Kotryna KVEDERAVIČIŪTĖ, M.Sc.  
Vaidotas STANKEVIČIUS, Ph.D.         Kotryna SKARDŽIŪTĖ, M.Sc. 
Miglė TOMKUVIENĖ, Ph.D.  
Rasa RAKAUSKAITĖ, Ph.D.     
Eglė JAKUBAUSKIENĖ, Ph.D.

Inga PEČIULIENĖ, Ph.D.
Liepa GASIULĖ, Ph.D.
Milda MICKUTĖ, Ph.D.
Milda NARMONTĖ, Ph.D.
 
     
Janina LIČYTĖ, Ph.D.
Audronė RUKŠĖNAITĖ, M.Sc. 
Zdislav STAŠEVSKIJ, M.Sc.

Giedrė URBANAVIČIŪTĖ, M.Sc.
Joris BALČIŪNAS, M.Sc.

          

 E Kurausko foto 0054x

Research Overview

AdoMet-dependent methyltransferases (MTases), which represent more than 3% of the proteins in the cell, catalyze the transfer of the methyl group from S-adenosyl-L-methionine (AdoMet) to N-, C-, O- or S-nucleophiles in DNA, RNA, proteins or small biomolecules.

In DNA, enzymatic methylation of nucleobases serves to expand the information content of the genome in organisms ranging from bacteria to mammals. Postreplicative methylation is accomplished by DNA methyltransferases yielding 5-methylcytosine, N4-methylcytosine or N6-methyladenine (Kweon et al., 2019). Genomic DNA methylation is a key epigenetic regulatory mechanism in high eukaryotes. Aberrant DNA methylation correlates with a number of pediatric syndromes and cancer, or predisposes individuals to various other human diseases. However, research into the epigenetic misregulation and its diagnostics is hampered by the limitations of available analytical techniques. 

 

Targeted covalent labeling of biopolymers

Besides their diverse biological roles, DNA MTases are attractive models to study the structural aspects of DNA-protein interaction. Bacterial enzymes recognize an impressive variety (over 200) of short sequences in DNA. Following detailed mechanistic and structural studies of MTases, we turned to repurposing these enzymes sequence-specific covalent modification of DNA and other biopolymers. Our strategy is based on designing novel synthetic analogues of the natural cofactor AdoMet. We have synthesized a series of model AdoMet analogs with sulfonium-bound extended side chains replacing the methyl groupThis novel enabling technology named mTAG (methyltransferase-directed Transfer of Activated Groups) is a convenient and robust technique that is suitable for routine laboratory use. In particular, we demonstrated that propargylic side chains can be efficiently transferred by DNA MTases with high sequence- and base-specificity (Lukinavičius et al., 2007, 2012 and 2013; Masevičius et al., 2016; Tomkuvienė et al., 2016; Tomkuvienė et al., 2019 and 2020) offering many potential applications for genomic (Neely et al., 2010) and epigenomic (see below) studies. Moreover, the newly developed cofactors are suitable for targeted transfer of functional groups or other chemical entities to RNA (Tomkuvienė et al., 2012; Plotnikova et al., 2014; Osipenko et al., 2017; Mickutė et al., 2018 and 2021) using appropriate MTases as catalysts. 

In the absence of the S-adenosylmethionine cofactor, bacterial cytosine-5 MTases can catalyze catalyze reversible covalent addition of exogenous aliphatic aldehydes to their target residues in DNA, thus yielding corresponding 5-hydroxyalkylcytosines (Liutkevičiūtė et al., 2009). Moreover, our further studies demonstrated the ability of the MTases to direct condensation of aliphatic thiols and selenols with 5-hydroxymethylcytosine in DNA to yield 5-alkylchalcogenomethyl derivatives (Liutkevičiūtė et al., 2011) or decarboxylation of 5-carboxylcytosines (Liutkevičiūtė et al., 2014) in DNA. These atypical reactions demonstrate a surprizing catalytic versatility of these enzymes and pave new ways for the sequence-specific derivatization and analysis of 5-hydroxymethylcytosine in mammalian DNA (Kriukienė et al., 2012; Gibas et al. 2020; Gordevičius et al., 2020).

 

Novel approaches to epigenome profiling

Genomic DNA methylation is a prevalent epigenetic modification in mammals, which is brought about by three known DNA cytosine-5 methyltransferases (DNMTs). Although DNA methylation has been extensively investigated, many mechanistic aspects of the DNMT action remain obscure due limitations of current analytical techniques. We therefore aim to develop new experimental approaches to genome-wide profiling of DNA methylation for epigenome studies and improved diagnostics. Our approach is based on selective mTAG labeling and enrichment of unmethylated CpG sites (Kriukienė et al. 2013; Labrie et al., 2016) in the genome followed by analysis of the enriched fractions on tiling microarrays (in collaboration with Prof. Art Petronis, CAMH, Toronto, Canada). Recently, we have advanced DNA methylome profiling by developing a high-resolution economical technique named Tethered Oligonucleotide-Primed sequencing, TOP-seq, which exploits non-homologous priming of the DNA polymerase at covalently tagged CpG or hmCpG sites to directly produce adjoining regions for their sequencing and precise genomic mapping (Staševskij et al., 2017; Gibas et al. 2020; Ličytė et al. 2020; Gordevičius et al., 2020).    

Single-cell temporal tracking of epigenetic DNA marks (EpiTrack)  ERCxx_copy.jpg

Our ERC-supported studies (Single-cell temporal tracking of epigenetic DNA marks, EpiTrack) aimed to gain in-depth understanding of how the genomic methylation patterns are established and how they govern cell plasticity and variability during differentiation and development. These questions were addressed by precise determination of where and when methylation marks are deposited by the individual DNMTs, and how these methylation marks affect gene expression. To achieve this goal, we use metabolic engineering of mouse cells to permit SAM analog-based chemical pulse-tagging of their methylation sites in vivo to unveil, with unprecedented detail, the dynamics and variability of DNA methylation during differentiation of mouse embryonic cells to somatic lineages.

 

Methylation of small non-coding RNA

MicroRNAs and siRNAs are small non-coding double-stranded RNA molecules that control gene activity in a homology-dependent manner - a process named RNA interference. Since their discovery in 1993, numerous microRNAs have been identified and recognized as important regulators of gene expression in both plants and animals. Many microRNAs have well-defined developmental and tissue-specific expression pattern, but a great number of microRNAs and their roles are still unknown.

HEN1 methyltransferases from plants and animals catalyze the transfer methyl groups from AdoMet onto the 2'OH group of the 3'-terminal nucleotide of small RNAs, like miRNA, siRNA/siRNA or piRNA. The methylation is imperative in the biogenesis of microRNA in plants and piRNA in animals. A number of chemo-enzymatic approaches have been developed in our laboratory for examining and exploiting the unique properties of the HEN1 methyltransferases (Plotnikova et al., 2013; Baranauskė et al., 2015; Osipenko et al., 2017; Mickutė et al., 2018, 2021).

 

Recent publications

 

E. Kriukienė, M. Tomkuvienė, S. Klimašauskas
5-Hydroxymethylcytosine: the many faces of the sixth base of mammalian DNA. 

Chem. Soc. Rev., 2024, 53: 2264–2283. 

K. Skardžiūtė, K. Kvederavičiūtė, I. Pečiulienė, M. Narmontė, P. Gibas, J. Ličytė, S. Klimašauskas, E. Kriukienė
One-pot trimodal mapping of unmethylated, hydroxymethylated and open chromatin sites unveils distinctive 5hmC roles at dynamic chromatin loci.
Cell Chem. Biol., 2023, in press.  

G. Vilkaitis, V. Masevičius, E. Kriukienė, S. Klimašauskas
Chemical Expansion of the Methyltransferase Reaction: Tools for DNA Labeling and Epigenome Analysis. 

Acc. Chem. Res., 2023, 56: 3188-3197. 

M. Malikėnas, V. Masevičius, S. Klimašauskas
Synthesis of S-adenosyl-L-methionine analogs with extended transferable groups for methyltransferase-directed labeling of DNA and RNA. 
Curr. Protoc., 2023, 3: e799.

M. Tomkuvienė, M. Meier, D. Ikasalaitė, J. Wildenauer, V. Kairys, S. Klimašauskas, L. Manelytė
Enhanced nucleosome assembly at CpG sites containing an extended 5-methylcytosine analogue.
Nucleic Acids Res., 2022, 50(11): 6549–6561.

M.J. Peña-Gómez, P. Moreno-Gordillo, M. Narmontė, C.B. García-Calderón, A. Rukšėnaitė, S. Klimašauskas, I.V. Rosado 
FANCD2 maintains replication fork stability during misincorporation of the DNA demethylation products 5-hydroxymethyl-2'-deoxycytidine and 5-hydroxymethyl-2'-deoxyuridine.
Cell Death Dis., 2022, 13(5): 503.

V. Stankevičius, P. Gibas, B. Masiulionytė, L. Gasiulė, V. Masevičius, S. Klimašauskas, G. Vilkaitis
Selective chemical tracking of Dnmt1 catalytic activity in live cells.
Mol. Cell,  2022, 82(5): 1053-1065. --Meet the author interview.

J. Ličytė, K. Kvederavičiūtė, A. Rukšėnaitė, E. Godliauskaitė, P. Gibas, V. Tomkutė, G. Petraitytė, V. Masevičius, S. Klimašauskas, E. Kriukienė
Distribution and regulatory roles of oxidized 5-methylcytosines in DNA and RNA of the Basidiomycete fungi Laccaria bicolor and Coprinopsis cinerea.
Open Biol., 2022, 12(3): 210302.
 

M. Tomkuvienė, E. Kriukienė, S. Klimašauskas
DNA labeling using DNA methyltransferases.
Adv. Exp. Med. Biol., 2022, 1389: 535–562.

M. Narmontė, P. Gibas, K. Daniūnaitė, J. Gordevičius, E. Kriukienė
Multi-omics analysis of neuroblastoma cells reveals a diversity of malignant transformations.
Front. Cell Dev. Biol., 2021, 9: 727353.
 

M. Mickutė, K. Kvederavičiūtė, A. Osipenko, R. Mineikaitė, S. Klimašauskas, G. Vilkaitis
Methyltransferase-directed orthogonal tagging and sequencing of miRNAs and bacterial small RNAs.
BMC Biology, 2021, 19: 
129. 

A.N. Tesfahun, M. Alexeeva, M. Tomkuvienė, A. Arshad, P. Guragain, A. KlunglandS. Klimašauskas,  P. Ruoff, S. Bjelland
Alleviation of C-C Mismatches in DNA by the Escherichia coli Fpg Protein.
Front. Microbiol., 2021, 12: 608839.

R. Rakauskaitė, G. Urbanavičiūtė, M. Simanavičius, A. Žvirblienė, S. Klimašauskas
Selective immunocapture and light-controlled traceless release of transiently caged proteins.
STAR Protoc., 2021, 2(2): 100455.

R. Rakauskaitė, G. Urbanavičiūtė, M. Simanavičius, R. Lasickienė, A. Vaitiekaitė, G. Petraitytė,  V. Masevičius, A. Žvirblienė, S. Klimašauskas
Photocage-Selective Capture and Light-Controlled Release of Target Proteins.
iScience, 2020, 23(12): 101833.

M. Tomkuvienė, D. Ikasalaitė, A. Slyvka, A. Rukšėnaitė,  M. Ravichandran, T. P. Jurkowski, M. Bochtler,  S. Klimašauskas
Enzymatic hydroxylation and excision of extended 5-methylcytosine analogues.
J. Mol. Biol., 2020, 423(23): 6157-6167.

J. Gordevičius,  M. Narmontė, P. Gibas, K. Kvederavičiūtė, V. Tomkutė, P. Paluoja, K. Krjutškov,  A. Salumets, E. Kriukienė
Identification of fetal unmodified and 5-hydroxymethylated CG sites in maternal cell-free DNA for non-invasive prenatal testing.
Clin. Epigen., 2020, 12: 153.

J. Ličytė, P. Gibas, K. Skardžiūtė, V. Stankevičius, A. Rukšėnaitė, E. Kriukienė
A Bisulfite-free Approach for Base-Resolution Analysis of Genomic 5-Carboxylcytosine.
Cell Rep., 2020, 32(11): 108155.

P. Gibas, M. Narmontė, Z. Staševskij, J. Gordevičius, S. Klimašauskas, E. Kriukienė
Precise genomic mapping of 5-hydroxymethylcytosine via covalent tether-directed sequencing.
PLOS Biol., 2020, 18(4): e3000684.

S. Gasiulė, N. Dreize, A. Kaupinis, R. Ražanskas, L. Čiupas, V. Stankevičius, Ž. Kapustina, A. Laurinavičius, M. Valius, G. Vilkaitis
Molecular Insights into miRNA-Driven Resistance to 5-Fluorouracil and Oxaliplatin Chemotherapy: miR-23b Modulates the Epithelial–Mesenchymal Transition of Colorectal Cancer Cells.
J. Clin. Med., 2019, 8(12): 2115.

S. Gasiulė, V. Stankevičius, V. Patamsytė, R. Ražanskas, G. Žukovas, Ž. Kapustina, D. Žaliaduonytė, R. Benetis, V. Lesauskaitė, G. Vilkaitis
Tissue-Specific miRNAs Regulate the Development of Thoracic Aortic Aneurysm: The Emerging Role of KLF4 Network.
J. Clin. Med., 2019, 8(10): 1609.

S.-M. Kweon, Y. Chen, E. Moon, K. Kvederavičiūtė, S. Klimašauskas, D.E. Feldman
An adversarial DNA N6-methyladenine-sensor network preserves polycomb silencing.
Mol. Cell, 2019, 74(6): 1138-1147.e6.

M. Tomkuvienė, M. Mickutė, G. Vilkaitis, S. Klimašauskas
Repurposing enzymatic transferase reactions for targeted labeling and analysis of DNA and RNA.
Curr. Opin. Biotechnol., 2019, 55: 114-123.

K. Daniūnaitė, S. Jarmalaitė, E. Kriukienė 
Epigenomic technologies for diciphering circulating tumor DNA.
Curr. Opin. Biotechnol., 2019, 55: 23-29.

M. Mickutė, M. Nainytė, L. Vasiliauskaitė. A. Plotnikova, V. Masevičius, S. Klimašauskas, G. Vilkaitis
Animal Hen1 2′-O-methyltransferases as tools for 3′-terminal functionalization and labelling of single-stranded RNAs.
Nucleic Acids Res., 2018, 46: 
e104.

M. Alexeeva, P. Guragain, A.N. Tesfahun, M. Tomkuvienė, A. Arshad, R. Gerasimaitė, A. Rukšėnaitė, G. Urbanavičiūtė, M. Bjørås, J.K. Laerdahl, A. Klungland, S. Klimašauskas, S. Bjelland
Excision of the double methylated base N4,5-dimethylcytosine from DNA by Escherichia coli Nei and Fpg proteins.
Phil. Trans. R. Soc. B, 2018, 373(1748): 20170337.

M. Tomkuvienė, J. Ličytė, I. Olendraitė, Z. Liutkevičiūtė, B. Clouet-d'Orval, S. Klimašauskas
Archaeal fibrillarin-Nop5 heterodimer 2'-O-methylates RNA independently of the C/D guide RNP particle.
RNA, 2017, 23(9): 1329-1337.

A. Osipenko, A. Plotnikova, M. Nainytė, V. Masevičius, S. Klimašauskas, G. Vilkaitis 
Oligonucleotide-addressed covalent 3’-terminal derivatization of small RNA strands for enrichment and visualization.
Angew. Chem. Int. Ed., 2017, 56(23): 6507–6510.

Z. Staševskij, P. Gibas, J. Gordevičius, E. Kriukienė, S. Klimašauskas
Tethered Oligonucleotide-Primed sequencing, TOP-seq: a high resolution economical approach for DNA epigenome profiling. 
Mol. Cell, 2017, 65(3): 554–564.

M. Tomkuvienė, E. Kriukienė, S. Klimašauskas
DNA labeling using DNA methyltransferases.
Adv. Exp. Med. Biol., 2016, 945: 511-535.

V. Labrie, O. J. Buske, E. Oh, R. Jeremian, C. Ptak, G. Gasiūnas, A. Maleckas, R. Petereit, A. Žvirbliene, K. Adamonis, E. Kriukienė, K. Koncevičius, J. Gordevičius, A. Nair, A. Zhang, S. Ebrahimi, G. Oh, V. Šikšnys, L. Kupčinskas, M. Brudno, A. Petronis
Lactase nonpersistence is directed by DNA-variation-dependent epigenetic aging.
Nature Struct. Mol. Biol2016, 23(6): 566-573.

V. Myrianthopoulos, P. F. Cartron, Z. Liutkevičiūtė, S. Klimašauskas, D. Matulis, C. Bronner, N. Martinet, E. Mikros
Tandem virtual screening targeting the SRA domain of UHRF1 identifies a novel chemical tool modulating DNA methylation.
Eur. J. Med. Chem., 2016, 114: 390–396.

V. Masevičius, M. Nainytė, S. Klimašauskas
Synthesis of S-adenosyl-L-methionine analogs with extended transferable groups for methyltransferase-directed labeling of DNA and RNA. 
Curr. Protoc. Nucleic Acid Chem., 2016, 64: 1.36.1-1.36.13.

R. Rakauskaitė, G. Urbanavičiūtė, A. Rukšėnaitė, Z. Liutkevičiūtė,  R. Juškėnas, V. Masevičius, S. Klimašauskas
Biosynthetic selenoproteins with geneticallyencoded photocaged selenocysteines.
Chem. Commun., 2015, 51(39): 8245-8248.

S. Baranauskė, M. Mickutė, A. Plotnikova, A. Finke, Č. Venclovas, S. Klimašauskas, G. Vilkaitis 
Functional mapping of the plant small RNAmethyltransferase: HEN1 physically interacts with HYL1 and DICER-LIKE 1 proteins.
Nucleic Acids Res., 2015, 43(5): 2802-2812.

A. Plotnikova, A. Osipenko,  V. Masevičius, G. Vilkaitis, S. Klimašauskas
Selective covalent labeling of miRNA and siRNA duplexes using HEN1 methyltransferase.
J. Am. Chem. Soc., 2014, 136(39): 
13550–13553.

Z. Liutkevičiūtė, E. Kriukienė, J. Ličytė, M. Rudytė, G. Urbanavičiūtė, S. Klimašauskas
Direct decarboxylation of 5-carboxylcytosine by DNA C5-methyltransferases.
J. Am. Chem. Soc
., 2014, 136(16): 5884−5887.

 

Department of Eukaryote Gene Engineering

EGE

Head: Dr. Rasa Burneikienė-Petraitytė

Tel. +370-5-2234421
Fax. +370-5-2687009
E-mail: rasa.burneikiene @ bti.vu.lt

 

Habil. Dr. Alma Gedvilaitė’s group activities:

The activities of the research group addresses studies related to efficient production of recombinant viral proteins in yeast cells by improvement of expression systems and yeast genetic background. Despite that yeast Saccharomyces cerevisiae frequently serves as a reasonable host for heterologous protein expression, in many instances, it is far from optimal. Our aim is to understand and balance processes in yeast trigged by synthesis of recombinant proteins, identify factors necessary for efficient recombinant protein expression by overexpression or deletion of target genes. In an attempt to elucidate the requirement of factors for the biosynthesis of recombinant viral and human proteins we use proteomics, yeast mutant and gene collection studies. Very important part of group study is related to improvement of yeast protein secretion capacities by identification and investigation of yeast genes conferring supersecretion phenotypes.

The group is also interested in search and characterization of new polyomaviruses, studies of virus-like particles (VLPs) formation, and protein engineering based on construction of chimeric VLPs harboring foreign epitopes. We employ hamster polyomavirus VLPs as carriers for short and non-immunogenic protein sequences with are presented on VP1 VLPs to increase their immunogenicity. For presentation of large and complex protein molecules (as single chain antibody molecules) we use VP1/VP2 VLPs.

We have a wide network of international collaboration and long-lasting experience in conducting collaborative projects with industrial partners.

Current project:

Project of Research Council of Lithuania "Investigation of Kluyveromyces lactis mutations conferring enhanced secretion phenotype and generation of yeast strains for supersecretion of recombinant proteins", 2017-2021, project leader A.Gedvilaite.

Results:

  • Identified four new common and bank voles, yellow-necked mouse and shrews polyomaviruses.

  • Large collection of more than 40 different virus like particles (VLPs) derived from various polyomavirus (all 13 human polyomavirus, rodents, avian and other host polyomavirus) VP1 proteins and papillomavirus L1 proteins (HPV6, 11, 16, 18, 31, 33), porcine circovirus type 2 capsid proteins.

  • Yeast expression systems for construction and production of hamster polyomavirus VP1 and VP1/VP2 VLPs as carriers harboring non immunogenic peptides or complex molecules of interest.

  • Genetic engineered yeast strain collection for recombinant protein production.

  • 2003 – Lithuanian Science Prize in the Biomedicine Sciences area.

  • Patent: Zvirblienė A., Gedvilaitė A., Ulrich, R., Sasnauskas. Process for the production of monoclonal antibodies using chimeric VLPs. US Patent No.:US7,919,314 B2. Apr. 5, 2011.

Selected publications:

  1. Gedvilaite A, Tryland M, Ulrich RG, Schneider J, Kurmauskaite V, Moens U, Preugschas H, Calvignac-Spencer S, Ehlers B. Novel polyomaviruses in shrews (Soricidae) with close similarity to human polyomavirus 12. J Gen Virol. 2017. doi: 10.1099/jgv.0.000948.

  2. Zaveckas M, Goda K, Ziogiene D, Gedvilaite A. Purification of recombinant trichodysplasia spinulosa-associated polyomavirus VP1-derived virus-like particles using chromatographic techniques. J Chromatogr B Analyt Technol Biomed Life Sci. 2018 May 9;1090:7-13. doi: 10.1016/j.jchromb.2018.05.007.

  3. Valaviciute M, Norkiene M, Goda K, Slibinskas R, Gedvilaite A. Survey of molecular chaperone requirement for the biosynthesis of hamster polyomavirus VP1 protein in Saccharomyces cerevisiae. Arch Virol. 2016. 161(7), 1807-1819. DOI 10.1007/s00705-016-2846-3

  4. Nainys J, Timinskas A, Schneider J, Ulrich RG, Gedvilaite A. Identification of Two Novel Members of the Tentative Genus Wukipolyomavirus in Wild Rodents. PLoS One. 2015 Oct 16;10(10):e0140916. doi: 10.1371/journal.pone.0140916. eCollection 2015.

  5. Pleckaityte M, Bremer CM, Gedvilaite A, Kucinskaite-Kodze I, Glebe D, Zvirbliene A. Construction of polyomavirus-derived pseudotype virus-like particles displaying a functionally active neutralizing antibody against hepatitis B virus surface antigen. BMC Biotechnology. 2015, 15:85. DOI 10.1186/s12896-015-0203-3

  6. Norkiene M, Stonyte J, Ziogiene D, Mazeike E, Sasnauskas K, Gedvilaite A. Production of recombinant VP1-derived virus-like particles from novel human polyomaviruses in yeast. BMC Biotechnology. 2015, 15:68. DOI: 10.1186/s12896-015-0187-z

  7. Zaveckas M., Snipaitis S., Pesliakas H. Nainys J. Gedvilaite A. Purification of recombinant virus-like particles of porcine circovirustype 2 capsid protein using ion-exchange monolith chromatography. J Chromatogr B. 2015, v. 991, p.21–28. doi:10.1016/j.jchromb.2015.04.004

  8. Nainys J, Lasickiene R, Petraityte-Burneikiene R, Dabrisius J, Lelesius R, Sereika V, Zvirbliene A, Sasnauskas K, Gedvilaite A. Generation in yeast of recombinant virus-like particles of porcine circovirus type 2 capsid protein and their use for a serologic assay and development of monoclonal antibodies. BMC Biotechnology 2014 14:100. doi:10.1186/s12896-014-0100-1 847

  9. Pleckaityte M, Zvirbliene A, Sezaite I, Gedvilaite A. Production in yeast of pseudotype virus-like particles harboring functionally active antibody fragments neutralizing the cytolytic activity of vaginolysin. Microb Cell Fact. 2011. 10:109.

  10. Gedvilaite A., Dorn D.C., Sasnauskas K., Pecher G., Bulavaite A., Lawatscheck R., Staniulis J., Dalianis T., Ramqvist T., Schönrich G., Raftery MJ., Ulrich R. Virus-like particles derived from major capsid protein VP1 of different polyomaviruses differ in their ability to induce maturation in human dendritic cells. Virology, 2006, v. 354 (2), 252-260.

  11. Gedvilaite A., Frommel C., Sasnauskas K., Burkhard M., Ozel M., Behrsing O., Staniulis J., Jandrig B., Scherneck S., Ulrich R. Formation of Immunogenic Virus-like Particles by Inserting Epitopes into Surface-Exposed regions of Hamster Major Capsid Protein // Virology. 2000, v. 273, n. 1, p. 21-35.

 

Group of Drs. Rimantas Slibinskas and Evaldas Čiplys

Research:

Our group is studying processes of recombinant protein synthesis in yeast expression systems by using various methods including proteomic analysis. Research is mainly focused on foreign protein processing in cell secretion pathway and related stress responses. Essential molecular components for proper functioning of secretory pathway and for efficient secretion of recombinant proteins are chaperones located in endoplasmic reticulum (ER). We found that human ER chaperones are correctly processed and efficiently produced in the active form in yeast cells suggesting compatibility of human and yeast cellular machinery for synthesis and processing of these specific proteins. Moreover, yeast cells secreted large amounts of human ER chaperones BiP/GRP78, calreticulin and ERp57 under conditions of overexpression. It is known that translocation of these proteins to the cell surface or their secretion outside the cells in human tissues is related to various pathological conditions with connection to a number of human diseases. Therefore, it makes yeast expression systems an excellent model for studying molecular mechanisms of the secretion of human ER chaperones. Furthermore, high quality and widely affordable recombinant human ER chaperone proteins are needed for further research and studies of the potential application of these proteins. For this purpose we also develop technologies for the production of human ER chaperones and some of their mutants in yeast.

 

Current project:

Research and development project, partially supported by the EU structural funds, „Development of technology for production of native recombinant human calreticulin in yeast“ (2016-2019), project leaders R. Slibinskas and E. Čiplys.

 

Selected publications:

  1. Overexpression of human virus surface glycoprotein precursors induces cytosolic unfolded protein response in Saccharomyces cerevisiae. Ciplys E, Samuel D, Juozapaitis M, Sasnauskas K, Slibinskas R.Microb Cell Fact. 2011 May 19;10:37. doi: 10.1186/1475-2859-10-37.

  1. Overexpression of human calnexin in yeast improves measles surface glycoprotein solubility. Ciplys E, Sasnauskas K, Slibinskas R.FEMS Yeast Res. 2011 Sep;11(6):514-23. doi: 10.1111/j.1567-1364.2011.00742.x. Epub 2011 Jun 27.

  1. Native signal peptide of human ERp57 disulfide isomerase mediates secretion of active native recombinant ERp57 protein in yeast Saccharomyces cerevisiae.Čiplys E, Žitkus E, Slibinskas R. Protein Expr Purif. 2013 Jun;89(2):131-5. doi: 10.1016/j.pep.2013.03.003. Epub 2013 Mar 23.

  1. Comparison of first dimension IPG and NEPHGE techniques in two-dimensional gel electrophoresis experiment with cytosolic unfolded protein response in Saccharomyces cerevisiae. Slibinskas R, Ražanskas R, Zinkevičiūtė R, Čiplys E. Proteome Sci. 2013 Jul 27;11(1):36. doi: 10.1186/1477-5956-11-36.

  1. Generation of human ER chaperone BiP in yeast Saccharomyces cerevisiae. Čiplys E, Aučynaitė A, Slibinskas R. Microb Cell Fact. 2014 Feb 11;13:22.doi: 10.1186/1475-2859-13-22.

  1. Calreticulin as cancer treatment adjuvant: combination with photodynamic therapy and photodynamic therapy-generated vaccines. Korbelik M, Banáth J, Saw KM, Zhang W, Čiplys E. Front Oncol. 2015 Feb 3;5:15. doi: 10.3389/fonc.2015.00015.

  1. Heat shock at higher cell densities improves measles hemagglutinin translocation and human GRP78/BiP secretion in Saccharomyces cerevisiae. Zinkevičiūtė R, Bakūnaitė E, Čiplys E, Ražanskas R, Raškevičiūtė J, Slibinskas R. N Biotechnol. 2015 Dec 25;32(6):690-700. doi: 10.1016/j.nbt.2015.04.001. Epub 2015 Apr 20.

  2. High-level secretion of native recombinant human calreticulin in yeast. Čiplys E, Žitkus E, Gold LI, Daubriac J, Pavlides SC, Højrup P, Houen G, Wang WA, Michalak M, Slibinskas R. Microb Cell Fact. 2015 Oct 15;14:165.doi: 10.1186/s12934-015-0356-8.

  1. Mapping the Ca(2+) induced structural change in calreticulin. Boelt SG, Norn C, Rasmussen MI, André I, Čiplys E, Slibinskas R, Houen G, Højrup P. J Proteomics. 2016 Jun 16;142:138-48. doi: 10.1016/j.jprot.2016.05.015. Epub 2016 May 16.

  1. Survey of molecular chaperone requirement for the biosynthesis of hamster polyomavirus VP1 protein in Saccharomyces cerevisiae. Valaviciute M, Norkiene M, Goda K, Slibinskas R, Gedvilaite A. Arch Virol. 2016 Jul;161(7):1807-19. doi: 10.1007/s00705-016-2846-3.

 

Group of Dr. Rasa Petraitytė-Burneikienė

Analysis, synthesis of viral proteins in yeast and their practical application is the main research field of our group. We are focusing on aspects related to the production of recombinant proteins in yeast expression systems, the development and optimization of expression systems dedicated to the production of recombinant proteins as virus-like particles. The core research techniques used in the department are the methods of molecular biology and biotechnology, leading to obtain recombinant plasmids, genetically modified bacteria and yeast, and purification of proteins. We have already in our disposition powerful diagnostic tools as yeast-expressed recombinant proteins for diagnostics of human hantaviruses, porcine parvovirus, human bocaviruses 1-4, human metapneumovirus, human parvovirus 4, parainfluenza viruses 2 and 4, hepatitis E and bovine Schmallenberg virus.  Yeast expressed recombinant proteins are applied in the tests for detection of virus-specific antibodies in human serum and oral fluid samples.

 

Current projects:

1.    National programme “Healthy Aging”, Research Council of Lithuania. Investigation of synthesis regulation of proteins associated with Alzheimer disease development (No. SEN-05/2015). K. Sasnauskas. 2015–2018.

2.   Joint Lithuanian–Latvian–Chinese (Taiwanese) Tripartite Cooperation Programme. Research Council of Lithuania. Studying of human parvovirus B19, bocavirus and parvovirus 4 involvement in inflammatory neurological diseases using interdisciplinary approach (No. TAP LLT-3/2017). R. Petraitytė-Burneikienė. 2017-2019.

3.    LSC project for activity according action 2015-LMT-K-718 “Scientific research for advanced investigators“ (Smart specialization) , No. 01.2.2-LMT-K-718-01-0008 ,,New technologies for construction of recombinant allergens“, G. Žvirblis, 2018-2021.

 

Collaboration

Friedrich-Loeffler-Institut Bundesforschungsinstitut für Tiergesundheit, Federal Research

Institute for Animal Health OIE Collaborating Centre for Zoonoses in Europe (Germany)

Department of Virology, University of Freiburg (Germany)

A. Kirchenstein Institute of Microbiology and Virology, Riga Stradins University (Latvia)

Department of Medical Research, Mackay Memorial Hospital, (Taiwan)

 

Selected publications:

1.        Bulavaitė A, Lasickienė R, Vaitiekaitė A, Sasnauskas K, Žvirblienė A. (2016). Synthesis of human parainfluenza virus 2 nucleocapsid protein in yeast as nucleocapsid-like particles and investigation of its antigenic structure. Appl Microbiol Biotechnol. 100(10):4523-34.

2.        Chandy, S., Ulrich, R.G., Schlegel, M., Petraityte, R., Sasnauskas, K., Prakash, D.J., Balraj, V., Abraham, P., Sridharan, G. (2013). Hantavirus Infection among Wild Small Mammals in Vellore, South India. Zoonoses Public Health. 60(5):336-40.

3.        Dargevicius, A., Petraityte, R., Sribikiene, B., Sileikiene, E., Razukeviciene, L., Ziginskiene, E., Vorobjoviene, R., Razanskiene, A., Sasnauskas, K., Bumblyte, I.A., Kuzminskis, V.I. (2007). Prevalence of antibodies to hantavirus among hemodialysis patients with end-stage renal failure in Kaunas and its district. Medicina (Kaunas). 43 Suppl. 1:72-6.

4.        Emuzyte, R., Firantiene, R., Petraityte, R., Sasnauskas, K.  (2009). Human rhinoviruses, allergy, and asthma: a clinical approach. Medicina (Kaunas).  45(11):839-47.

5.        Essbauer, S.S., Schmidt-Chanasit, J., Madeja, E.L., Wegener, W., Friedrich, R., Petraityte, R., Sasnauskas, K., Jacob, J., Koch, J., Dobler, G., Conraths, F.J., Pfeffer, M., Pitra, C., and Ulrich, R.G. (2007). Nephropathia epidemica in metropolitan area, Germany. Emerg. Infect. Dis. 13(8):1271-1273.

6.        Gedvilaitė A., Dorn D.C., Sasnauskas K., Pecher G., Bulavaitė A., Lawatscheck R., Staniulis J., Dalianis T., Ramqvist T., Schönrich G., Raftery M.J. and Ulrich,R.  Virus-like particles derived from major capsid protein VP1 of different polyomaviruses differ in their entry pathways and ability to induce maturation in human dendritic cells. Virology // ISSN: 0042-6822, Academic Press, New York, 2006,354 (2), 252-260.

7.        Kucinskaite-Kodze I, Pleckaityte M, Bremer CM, Seiz PL, Zilnyte M, Bulavaite A, Mickiene G, Zvirblis G, Sasnauskas K, Glebe D, Zvirbliene A. (2016). New broadly reactive neutralizing antibodies against hepatitis B virus surface antigen. Virus Res. 211:209-21.

8.        Kucinskaite-Kodze, I., Petraityte-Burneikiene, R., Zvirbliene, A., Hjelle, B., Medina, R.A., Gedvilaite, A., Razanskiene, A., Schmidt-Chanasit, J., Mertens, M., Padula, P., Sasnauskas, K., Ulrich, R.G. (2011). Characterization of monoclonal antibodies against hantavirus nucleocapsid protein and their use for immunohistochemistry on rodent and human samples. Arch Virol. 156(3):443-56

9.        Lazutka, J., Spakova, A., Sereika, V., Lelesius, R., Sasnauskas, K., Petraityte-Burneikiene, R. (2015). Saliva as an alternative specimen for detection of Schmallenberg virus-specific antibodies in bovines. BMC Veterinary Research. 11(1):237

10.     Lazutka, J., Zvirbliene, A., Dalgediene, I., Petraityte-Burneikiene, R., Spakova, A., Sereika, V., Lelesius, R., Wernike, K., Beer, M., Sasnauskas, K. (2014). Generation of Recombinant Schmallenberg Virus Nucleocapsid Protein in Yeast and Development of Virus-Specific Monoclonal Antibodies. Journal of Immunology Research. 2014:160316.

11.     Mertens, M., Hofmann, J., Petraityte-Burneikiene, R., Ziller, M., Sasnauskas, K., Friedrich, R., Niederstrasser, O., Krüger, D.H., Groschup, M.H., Petri, E., Werdermann, S., Ulrich, R.G. (2011). Seroprevalence study in forestry workers of a non-endemic region in eastern Germany reveals infections by Tula and Dobrava-Belgrade hantaviruses. Med. Microbiol. Immunol. 200(4):263-8.

12.     Mertens, M., Kindler, E., Emmerich, P., Esser, J., Wagner-Wiening, C., Wölfel, R., Petraityte-Burneikiene, R., Schmidt-Chanasit, J., Zvirbliene, A., Groschup, M.H., Dobler, G., Pfeffer, M., Heckel, G., Ulrich, R.G., Essbauer, S.S. (2011). Phylogenetic analysis of Puumala virus subtype Bavaria, characterization and diagnostic use of its recombinant nucleocapsid protein. Virus Genes. 43(2):177-91.

13.     Nainys, J., Lasickiene, R., Petraityte-Burneikiene, R., Dabrisius, J., Lelesius, R., Sereika, V., Zvirbliene,  A., Sasnauskas, K., Gedvilaite, A. (2014). Generation in yeast of recombinant virus-like particles of porcine circovirus type 2 capsid protein and their use for a serologic assay and development of monoclonal antibodies. BMC Biotechnology. 9;14(1):100.

14.     Petraitytė, R., Jin, L., Hunjan, R., Ražanskienė, A., Žvirblienė, A., Sasnauskas, K. (2007). Use of Saccharomyces cerevisiae-expressed recombinant nucleocapsid protein to detect Hantaan virus-specific immunoglobulinG (IgG) and IgM in oral fluid. Clin. Vaccine Immunol. 14(12):1603-1608.

15.     Petraityte, R., Tamosiunas, P.L., Juozapaitis, M., Zvirbliene, A., Sasnauskas, K., Shiell, B., Russell, G., Bingham, J., Michalski, W.P. (2009). Generation of Tioman virus nucleocapsid-like particles in yeast Saccharomyces cerevisiae. Virus Res. 145(1):92-6.

16.     Petraityte, R., Yang, H., Hunjan, R., Razanskiene, A., Dhanilall, P., Ulrich, R.G., Sasnauskas, K., Jin, L. (2008).  Development and evaluation of serological assays for detection of Hantaanvirus-specific antibodies in human sera using yeast-expressed nucleocapsid protein. J. Virol. Methods. 148(1-2):89-95.

17.     Petraitytė-Burneikienė, R., Nalivaiko, K., Lasickienė, R., Firantienė, R., Emužytė, R., Sasnauskas, K., Zvirblienė, A. (2011). Generation of recombinant metapneumovirus nucleocapsid protein as nucleocapsid-like particles and development of virus-specific monoclonal antibodies. Virus Res. 161(2):131-9.

18.     Schlegel, M., Tegshduuren, E., Yoshimatsu, K., Petraityte, R., Sasnauskas, K., Hammerschmidt, B., Friedrich, R., Mertens, M., Groschup, M.H., Arai, S., Endo, R., Shimizu, K., Koma, T., Yasuda, S., Ishihara, C., Ulrich, R.G., Arikawa, J., Köllner, B. (2012). Novel serological tools for detection of Thottapalayam virus, a Soricomorpha-borne hantavirus. Arch. Virol. 157(11):2179-87.

19.     Schmidt, J., Meisel, H., Capria, S.G., Petraityte, R., Lundkvist, A., Hjelle, B., Vial, P.A., Padula, P., Kruger, D.H., Ulrich, R. (2006). Serological assays for the detection of human andes hantavirus infections based on its yeast-expressed nucleocapsid protein. Intervirology. 49(3):173-84.

20.     Schmidt-Chanasit, J., Essbauer, S., Petraityte, R., Yoshimatsu, K., Tackmann, K., Conraths, F.J., Sasnauskas, K., Arikawa, J., Thomas, A., Pfeffer, M., Scharninghausen, J.J., Splettstoesser, W., Wenk, M., Heckel, G., Ulrich R.G. (2010). Extensive host sharing of central European Tula virus. J Virol. 84(1):459-74.

21.     Skrastina, D., Bulavaite, A. Sominskaja, I., Kovalevska, L., Ose, V., Priede, D., Pumpens, P., Sasnauskas, K. Immunological behaviour of immunodominant hepatitis B virus envelope exposed on the surface of two different virus-like particle carriers. Vaccine, 2008, 26, 1972-1981.

22.     Skrastina, D., Petrovskis, I., Petraityte, R., Sominskaya, I., Ose, V., Lieknina, I., Bogans, J., Sasnauskas, K., Pumpens, P. (2013). Chimeric derivatives of hepatitis B virus core particles carrying major epitopes of the rubella virus E1 glycoprotein. Clin. Vaccine Immunol. 20(11):1719-28.

23.     Tamošiūnas, P. L., Petraitytė-Burneikienė, R., Lasickienė, R., Akatov, A., Kundrotas, G., Sereika, V., Lelešius, R., Zvirblienė, A., Sasnauskas, K. (2014). Generation of Recombinant Porcine Parvovirus Virus-Like Particles in Saccharomyces cerevisiae and Development of Virus-Specific Monoclonal Antibodies. Journal of Immunology Research. 2014:573531.

24.     Tamošiūnas, P. L., Simutis, K., Kodzė, I., Firantienė, R., Emužytė, R., Petraitytė-Burneikienė, R., Zvirblienė, A., Sasnauskas, K. (2013). Production of Human Parvovirus 4 VP2 Virus-Like Particles in Yeast and Their Evaluation as an Antigen for Detection of Virus-Specific Antibodies in Human Serum. Intervirology. 56(5):271-7.

25.     Tamošiūnas, P.L., Petraitytė-Burneikienė, R., Bulavaitė, A., Marcinkevičiūtė, K., Simutis, K., Lasickienė, R., Firantienė, R., Ėmužytė, R., Žvirblienė, A., Sasnauskas, K. (2016). Yeast-generated virus-like particles as antigens for detection of human bocavirus 1-4 specific antibodies in human serum. Applied Microbiology and Biotechnology. 100(11):4935-46.

26.     Zvirbliene, A., Kucinskaite-Kodze, I., Razanskiene, A., Petraityte-Burneikiene, R., Klempa, B., Ulrich, R.G., Gedvilaite, A. (2014). The Use of Chimeric Virus-like Particles Harbouring a Segment of Hantavirus Gc Glycoprotein to Generate a Broadly-Reactive Hantavirus-Specific Monoclonal Antibody. Viruses. 6, 640-660.

Department of Immunology and Cell Biology

Monoclonal and recombinant antibodies are widely used in biotechnology, medicine and biomedical science.  Monoclonal antibodies produced using traditional hybridoma-based technologies are valuable research tools and clinical diagnostic reagents. Recombinant antibodies generated by gene engineering approaches are increasingly being used as therapeutic agents for treatment of cancer, autoimmune and infectious diseases. So, there is strong need for novel well-characterized antibodies with desired specificities and other characteristics.

Our team  

Our team has a strong expertise in development and characterization of monoclonal and recombinant antibodies. We have generated more than 500 monoclonal antibodies against different targets: viral antigens, bacterial virulence factors, cellular proteins, cytokines, hormones. The largest antibody collection is generated against viral antigens, including measles, mumps, human parainfluenza viruses, henipaviruses, hantaviruses, parvoviruses, human bocaviruses, hepatitis B virus, hepatitis E virus (1) and others. These antibodies are valuable tools for investigating antigenic structure of viruses (2), development of diagnostic assays and prevalence studies of viral infections. Virus research is carried out in collaboration with Prof. Dr. R.Ulrich (Friedrich-Loeffler-Institute, Greifswald, Insel-Riems, Germany), Prof. Dr. D. Glebe (Giessen University, Germany), J.O.Koskinen (ArcDia International Oy Ltd, Turku, Finland) and other partners. We have also generated a collection of antibodies against bacterial cytolysins and exploited them both for structural studies and quantitation of cytolysins (3). In collaboration with our colleagues from the Department of Eukaryote gene engineering, we have developed a new technology for the use of virus-like particles as a carrier for target epitopes to increase their immunogenicity. This approach provides possibilities to generate antibodies against short and non-immunogenic protein sequences. For construction of recombinant antibodies, gene sequences encoding the variable parts of immunoglobulin heavy and light chains are cloned from hybridoma cells producing well-characterized monoclonal antibodies against the target of interest. Recombinant antibodies are developed in different formats - as single chain antibodies (scFv) and Fc-engineered antibodies where the scFv derived from hybridoma cells are joined to human IgG Fc fragment. Also, we have exploited recombinant virus-like particles as a carrier for antibody molecules, both scFv and Fc-engineered scFv. This innovative approach allows generation of recombinant multimeric antibodies displayed on virus-like particles as demonstrated for vaginolysin- specific antibodies and neutralizing antibodies against hepatitis B virus (4).

Main publications

  1. Simanavicius et al. Generation in yeast and antigenic characterization of hepatitis E virus capsid protein virus-like particles. Appl Microbiol Biotechnol., 2018, 102 (1), 185-198.
  2. Kailasan et al. Mapping antigenic epitopes on the human bocavirus capsid. J Virol., 2016, 90 (9), 4670-4680
  3. Zilnyte et al. The cytolytic activity of vaginolysin strictly depends on cholesterol and is potentiated by human CD59. Toxins (Basel)2015, 7(1) :110-128
  4. Pleckaityte et al. Construction of polyomavirus-derived pseudotype virus-like particles displaying a functionally active neutralizing antibody against hepatitis B virus surface antigen. BMC Biotechnol., 2015, 15 (1): 85.

Department of Bioinformatics

 

Head of the Laboratory :

Dr. Česlovas Venclovas
Tel.: +370-5-223-4368
E-mail: 

Staff:

Dr. Visvaldas Kairys
Dr. Albertas Timinskas
Dr. Mindaugas Margelevičius
Dr. Justas Dapkūnas 
Dr. Darius Kazlauskas
Dr. Kliment Olechnovič
Kęstutis Timinskas
Rytis Dičiūnas


Doctoral students:

Lukas Valančauskas
Simonas Ašmontas
Rita Banciul
Jyotika Pachauri
Antanas Kiziela

  Bioinformatics laboratory

In Bioinformatics Laboratory we mainly deal with protein sequences and their three-dimensional structures. There are two main directions of our research:

  • Methods development. We aim at developing computational methods for detecting sequence homology, for modeling, analysis and evaluation of 3D structure of proteins and protein complexes. All of the software packages implementing these methods are freely available.

  • Application of computational methods to biological problems. We use computational methods for discovering general patterns in biological data, structural/functional characterization of proteins and their complexes, design of novel proteins and mutants with desired properties. In these studies we tend to focus on proteins/protein complexes that function in DNA metabolism including DNA replication, recombination and repair. More recently, studies of structural and mechanistic properties of CRISPR-Cas systems and their evolutionary relationships have also become our important research focus. Our objective is to make inferences regarding structural and functional features, molecular mechanisms, interactions, etc. that can be tested experimentally. In this research area we often collaborate with experimentalists.

Interested in Ph.D. studies in this area of bioinformatics? Looking for postdoc opportunities? Please send a message together with CV to the head of the lab (ČV).

Sources of financial support for our previous and current research:


 

Subcategories

Department of Biothermodynamics and Drug Design

Sector of Applied Biocatalysis

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