Laboratory of comparative and functional genomics
The laboratory was formed early in 2006 and was joined by those of young scientists and PhD students from Laboratory of structure and functions of human genes (LSFHG, laboratory head — academician E.D. Sverdlov) who studied retroposon’s impact on human genome evolution and functioning. On March 2009, Laboratory of comparative and functional genomics includes: laboratory head Y.B. Lebedev, D.Sci., researchers I.Z. Mamedov, Ph.D. and A.L. Amosova, Ph.D., junior researcher S.V. Ustyugova, Ph.D., PhD students A.V. Chkalina, I.V. Zvyagin, A.Y. Komkov, and three undergraduate students from Moscow State University who work on their bachelor’s theses. Ongoing laboratory projects are supported by the Institute, by Russ. Acad. Sci. Presidium programs, by RFBR grants and by other grants, including:
- Studies of human genome variability and genetic basis of inherited diseases;
- New approach to identification and selective suppression of expanded T-cell clones in patients with autoimmune and oncological diseases;
- Role of retroposon’s insertional polymorphism in oncological diseases;
- Large-scale functional analysis of human specific and polymorphic retroelement insertions;
- Advanced molecular-genetic markers and their application for people genetic services and records;
- Molecular-genetic analysis of eneolithic/bronze age inhabitants of Thrace valley and South-Russian steppe.
The laboratory carries out a wide range of molecular genetic research applying newly developed techniques and approaches to comparative analysis of genomic DNAs and cDNA pools of various origins. Ongoing research includes the following directions:
- genetics of distinct types of autoimmune diseases associated with clonal T-cell expansion; comparative transcriptome analysis of various subpopulations of peripheral blood lymphocytes;
- transposable elements impact on the eukaryotic genome evolution; investigation of genomic variability of individuals and within human population forming by retroelements activity; studies on the interaction between species-specific and polymorphic retroelements and gene expression systems;
- development of new aproaches for analysis of individual T-cell repertoires;
- studying of clonal diversity dynamic of human T- and B-lymphocytes in normal state and during development of autoimmune or oncological diseases.
|Yuri Lebedev, D.Sc, professor||Head of email@example.com, |
|Ilgar Mamedov, Ph.D.||s. r. f.||Imamedov@ibch.ru, |
|Ivan Zvyagin, Ph.D.||s. r. firstname.lastname@example.org, |
|Alexander Komkov, Ph.D.||r. email@example.com|
|Artem Mikelov||j. r. f.|
|Anastasiia Sycheva||j. r. firstname.lastname@example.org|
|Svetlana Ustjugova, Ph.D.||j. r. f.||Ustyugova@ibch.ru, |
|Victoria Fomchenkova||PhD email@example.com|
|Ekaterina Komech||PhD firstname.lastname@example.org|
|Anastasia Minervina||PhD email@example.com|
|Gaiaz Nugmanov||PhD firstname.lastname@example.org|
|Mikhail Pogorelyy, Ph.D.||PhD email@example.com, |
|Mariya Salnikova||t. q. - lab. as.|
|Mariya Salutina||t. q. - lab. as.|
A new approach to the functional analysis of sequencing data for T-lymphocyte repertoires
In collaboration with Laboratory of immunosequencing methods,  Group of Immunosequencing Algorithms
In order to extract clinically relevant information from large high-throughput sequencing of TCR repertoires we create a new statistical approach - Antigen-specific Lymphocyte Identification by Clustering of Expanded sequences (ALICE) /fig a/. We applied our algorithm to distinguish naïve from the effector memory cells in available TCR beta repertoires /fig b/, to identify reactive T-cell clones in mixed lymphocyte reaction (MLR) assay /fig c, d/, to fractionate TCR repertoires of patients with autoimmune disease or ones being under cancer immunotherapy, or subject to an acute viral infection. In summary, implementation of ALICE facilitate the identification of TCR variants associated with diseases and conditions, which can be used for diagnostics and rational vaccine design.
- (2019). Detecting T cell receptors involved in immune responses from single repertoire snapshots. PLoS Biol 17 (6), e3000314
Clonal profiling of T cell response to antiviral vaccination
T cell receptor (TCR) repertoire data contain information about infections that could be used in disease diagnostics and vaccine development, but extracting that information remains a major challenge. Here we developed an experimental approach with a statistical framework to detect TCR clone proliferation and contraction from longitudinal repertoire data. We applied this framework to data from three pairs of identical twins immunized with the yellow fever vaccine. We identified 600 to 1,700 responding TCRs in each donor and validated them using three independent assays. While the responding TCRs were mostly private, albeit with higher overlap between twins, they could be well-predicted using a classifier based on sequence similarity. Our method can also be applied to samples obtained postinfection, making it suitable for systematic discovery of new infection-specific TCRs in the clinic.
- (2018). Precise tracking of vaccine-responding T cell clones reveals convergent and personalized response in identical twins. Proc Natl Acad Sci U S A 115 (50), 12704–12709
T cell immune response to the flu vaccination
Deep quantitative T cell receptors profiling of peripheral lymphocytes have been performed to investigate T cell impact on the human immune response to the trivalent subunit influenza vaccine. Besides the fact that the flu vaccination does not lead to a significant rebuilding of T-lymphocytes repertoire, we founded small oligoclonal subpopulation bearing T cell memory phenotype. The subpopulation appears at 45th day after vaccine administration and then decreases its proportion of T cell clones in the repertoire. These “new memory” T cell clones suggest a potential for recruitment of a limited number of new T cells after each seasonal influenza vaccination.