Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Dmitriy B. Staroverov is active.

Publication


Featured researches published by Dmitriy B. Staroverov.


Journal of Immunology | 2014

Age-Related Decrease in TCR Repertoire Diversity Measured with Deep and Normalized Sequence Profiling

Olga V. Britanova; Ekaterina V. Putintseva; Mikhail Shugay; Ekaterina M. Merzlyak; Maria A. Turchaninova; Dmitriy B. Staroverov; Dmitriy A. Bolotin; Sergey Lukyanov; Ekaterina A. Bogdanova; Ilgar Z. Mamedov; Yuriy B. Lebedev; Dmitriy M. Chudakov

The decrease of TCR diversity with aging has never been studied by direct methods. In this study, we combined high-throughput Illumina sequencing with unique cDNA molecular identifier technology to achieve deep and precisely normalized profiling of TCR β repertoires in 39 healthy donors aged 6–90 y. We demonstrate that TCR β diversity per 106 T cells decreases roughly linearly with age, with significant reduction already apparent by age 40. The percentage of naive T cells showed a strong correlation with measured TCR diversity and decreased linearly up to age 70. Remarkably, the oldest group (average age 82 y) was characterized by a higher percentage of naive CD4+ T cells, lower abundance of expanded clones, and increased TCR diversity compared with the previous age group (average age 62 y), suggesting the influence of age selection and association of these three related parameters with longevity. Interestingly, cross-analysis of individual TCR β repertoires revealed a set >10,000 of the most representative public TCR β clonotypes, whose abundance among the top 100,000 clones correlated with TCR diversity and decreased with aging.


European Journal of Immunology | 2013

Pairing of T-cell receptor chains via emulsion PCR

Maria A. Turchaninova; Olga V. Britanova; Dmitriy A. Bolotin; Mikhail Shugay; Ekaterina V. Putintseva; Dmitriy B. Staroverov; George V. Sharonov; Dmitriy Shcherbo; Ivan V. Zvyagin; Ilgar Z. Mamedov; Carsten Linnemann; Ton N. M. Schumacher; Dmitriy M. Chudakov

Our ability to analyze adaptive immunity and engineer its activity has long been constrained by our limited ability to identify native pairs of heavy–light antibody chains and alpha–beta T‐cell receptor (TCR) chains — both of which comprise coupled “halves of a key”, collectively capable of recognizing specific antigens. Here, we report a cell‐based emulsion RT‐PCR approach that allows the selective fusion of the native pairs of amplified TCR alpha and beta chain genes for complex samples. A new type of PCR suppression technique was developed that makes it possible to amplify the fused library with minimal noise for subsequent analysis by high‐throughput paired‐end Illumina sequencing. With this technique, single analysis of a complex blood sample allows identification of multiple native TCR chain pairs. This approach may be extended to identify native antibody chain pairs and, more generally, pairs of mRNA molecules that are coexpressed in the same living cells.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Distinctive properties of identical twins' TCR repertoires revealed by high-throughput sequencing

Ivan V. Zvyagin; Mikhail V. Pogorelyy; Marina E. Ivanova; Ekaterina A. Komech; Mikhail Shugay; Dmitry A. Bolotin; Andrey A. Shelenkov; Alexey A. Kurnosov; Dmitriy B. Staroverov; Dmitriy M. Chudakov; Yuri B. Lebedev; Ilgar Z. Mamedov

Significance The power of adaptive immunity in humans is realized through the hypervariable molecules: the T-cell receptors (TCRs). Each of those is built from genetically encoded parts with the addition of random nucleotides finally forming individual TCR repertoire. Despite that the individual TCR repertoire potentially can include 1011–1014 different variants, substantially less molecules are found in a single individual. The particular genetic impact on the final set of TCR molecules is still poorly understood. In this study, for the first time to the best of our knowledge, we compare deep TCR repertoires of genetically identical twins. We found that, although TCR repertoires of any pair of individuals have the same amount of identical receptors, twin repertoires share certain specific features. Adaptive immunity in humans is provided by hypervariable Ig-like molecules on the surface of B and T cells. The final set of these molecules in each organism is formed under the influence of two forces: individual genetic traits and the environment, which includes the diverse spectra of alien and self-antigens. Here we assess the impact of individual genetic factors on the formation of the adaptive immunity by analyzing the T-cell receptor (TCR) repertoires of three pairs of monozygous twins by next-generation sequencing. Surprisingly, we found that an overlap between the TCR repertoires of monozygous twins is similar to an overlap between the TCR repertoires of nonrelated individuals. However, the number of identical complementary determining region 3 sequences in two individuals is significantly increased for twin pairs in the fraction of highly abundant TCR molecules, which is enriched by the antigen-experienced T cells. We found that the initial recruitment of particular TCR V genes for recombination and subsequent selection in the thymus is strictly determined by individual genetic factors. J genes of TCRs are selected randomly for recombination; however, the subsequent selection in the thymus gives preference to some α but not β J segments. These findings provide a deeper insight into the mechanism of TCR repertoire generation.


Embo Molecular Medicine | 2011

Quantitative tracking of T cell clones after haematopoietic stem cell transplantation

Ilgar Z. Mamedov; Olga V. Britanova; Dmitriy A. Bolotin; Anna V. Chkalina; Dmitriy B. Staroverov; Ivan V. Zvyagin; Alexey A. Kotlobay; Maria A. Turchaninova; Denis A. Fedorenko; Andrew A. Novik; George V. Sharonov; Sergey Lukyanov; Dmitriy M. Chudakov; Yuri B. Lebedev

Autologous haematopoietic stem cell transplantation is highly efficient for the treatment of systemic autoimmune diseases, but its consequences for the immune system remain poorly understood. Here, we describe an optimized RNA‐based technology for unbiased amplification of T cell receptor beta‐chain libraries and use it to perform the first detailed, quantitative tracking of T cell clones during 10 months after transplantation. We show that multiple clones survive the procedure, contribute to the immune response to activated infections, and form a new skewed and stable T cell receptor repertoire.


Journal of Immunology | 2015

Quantitative Profiling of Immune Repertoires for Minor Lymphocyte Counts Using Unique Molecular Identifiers

Evgeny S. Egorov; Ekaterina M. Merzlyak; Andrew Shelenkov; Olga V. Britanova; George V. Sharonov; Dmitriy B. Staroverov; Dmitriy A. Bolotin; Alexey N. Davydov; Ekaterina V. Barsova; Yuriy B. Lebedev; Mikhail Shugay; Dmitriy M. Chudakov

Emerging high-throughput sequencing methods for the analyses of complex structure of TCR and BCR repertoires give a powerful impulse to adaptive immunity studies. However, there are still essential technical obstacles for performing a truly quantitative analysis. Specifically, it remains challenging to obtain comprehensive information on the clonal composition of small lymphocyte populations, such as Ag-specific, functional, or tissue-resident cell subsets isolated by sorting, microdissection, or fine needle aspirates. In this study, we report a robust approach based on unique molecular identifiers that allows profiling Ag receptors for several hundred to thousand lymphocytes while preserving qualitative and quantitative information on clonal composition of the sample. We also describe several general features regarding the data analysis with unique molecular identifiers that are critical for accurate counting of starting molecules in high-throughput sequencing applications.


Cellular & Molecular Immunology | 2010

Contribution of functional KIR3DL1 to ankylosing spondylitis

Ivan V. Zvyagin; Ilgar Z. Mamedov; Olga V. Britanova; Dmitriy B. Staroverov; Evgeni L Nasonov; Anna G. Bochkova; Anna V. Chkalina; Alexei A. Kotlobay; Dmitriy O Korostin; Denis V. Rebrikov; Sergey Lukyanov; Yuri B. Lebedev; Dmitriy M. Chudakov

Increasing evidence points to a role for killer immunoglobulin-like receptors (KIRs) in the development of autoimmune diseases. In particular, a positive association of KIR3DS1 (activating receptor) and a negative association of KIR3DL1 (inhibitory receptor) alleles with ankylosing spondylitis (AS) have been reported by several groups. However, none of the studies analyzed these associations in the context of functionality of polymorphic KIR3DL1. To better understand how the KIR3DL1/3DS1 genes determine susceptibility to AS, we analyzed the frequencies of alleles and genotypes encoding functional (KIR3DL1*F) and non-functional (KIR3DL1*004) receptors. We genotyped 83 AS patients and 107 human leukocyte antigen (HLA)-B27-positive healthy controls from the Russian Caucasian population using a two-stage sequence-specific primer PCR, which distinguishes KIR3DS1, KIR3DL1*F and KIR3DL1*004 alleles. For the patients carrying two functional KIR3DL1 alleles, those alleles were additionally genotyped to identify KIR3DL1*005 and KIR3DL1*007 alleles, which are functional but are expressed at low levels. KIR3DL1 was negatively associated with AS at the expense of KIR3DL1*F but not of KIR3DL1*004. This finding indicates that the inhibitory KIR3DL1 receptor protects against the development of AS and is not simply a passive counterpart of the segregating KIR3DS1 allele encoding the activating receptor. However, analysis of genotype frequencies indicates that the presence of KIR3DS1 is a more important factor for AS susceptibility than the absence of KIR3DL1*F. The activation of either natural killer (NK) or T cells via the KIR3DS1 receptor can be one of the critical events in AS development, while the presence of the functional KIR3DL1 receptor has a protective effect. Nevertheless, even individuals with a genotype that carried two inhibitory KIR3DL1 alleles expressed at high levels could develop AS.


Journal of Immunology | 2016

Dynamics of Individual T Cell Repertoires: From Cord Blood to Centenarians

Olga V. Britanova; Mikhail Shugay; Ekaterina M. Merzlyak; Dmitriy B. Staroverov; Ekaterina V. Putintseva; Maria A. Turchaninova; Ilgar Z. Mamedov; Mikhail V. Pogorelyy; Dmitriy A. Bolotin; Mark Izraelson; Alexey N. Davydov; Evgeny S. Egorov; Sofya A. Kasatskaya; Denis V. Rebrikov; Sergey Lukyanov; Dmitriy M. Chudakov

The diversity, architecture, and dynamics of the TCR repertoire largely determine our ability to effectively withstand infections and malignancies with minimal mistargeting of immune responses. In this study, we have employed deep TCRβ repertoire sequencing with normalization based on unique molecular identifiers to explore the long-term dynamics of T cell immunity. We demonstrate remarkable stability of repertoire, where approximately half of all T cells in peripheral blood are represented by clones that persist and generally preserve their frequencies for 3 y. We further characterize the extremes of lifelong TCR repertoire evolution, analyzing samples ranging from umbilical cord blood to centenarian peripheral blood. We show that the fetal TCR repertoire, albeit structurally maintained within regulated borders due to the lower numbers of randomly added nucleotides, is not limited with respect to observed functional diversity. We reveal decreased efficiency of nonsense-mediated mRNA decay in umbilical cord blood, which may reflect specific regulatory mechanisms in development. Furthermore, we demonstrate that human TCR repertoires are functionally more similar at birth but diverge during life, and we track the lifelong behavior of CMV- and EBV-specific T cell clonotypes. Finally, we reveal gender differences in dynamics of TCR diversity constriction, which come to naught in the oldest age. Based on our data, we propose a more general explanation for the previous observations on the relationships between longevity and immunity.


Frontiers in Immunology | 2013

Mother and child T cell receptor repertoires: deep profiling study

Ekaterina V. Putintseva; Olga V. Britanova; Dmitriy B. Staroverov; Ekaterina M. Merzlyak; Maria A. Turchaninova; Mikhail Shugay; Dmitriy A. Bolotin; Mikhail V. Pogorelyy; Ilgar Z. Mamedov; Vlasta Bobrynina; Mikhail Maschan; Yuri B. Lebedev; Dmitriy M. Chudakov

The relationship between maternal and child immunity has been actively studied in the context of complications during pregnancy, autoimmune diseases, and haploidentical transplantation of hematopoietic stem cells and solid organs. Here, we have for the first time used high-throughput Illumina HiSeq sequencing to perform deep quantitative profiling of T cell receptor (TCR) repertoires for peripheral blood samples of three mothers and their six children. Advanced technology allowed accurate identification of 5 × 105 to 2 × 106 TCR beta clonotypes per individual. We performed comparative analysis of these TCR repertoires with the aim of revealing characteristic features that distinguish related mother-child pairs, such as relative TCR beta variable segment usage frequency and relative overlap of TCR beta complementarity-determining region 3 (CDR3) repertoires. We show that thymic selection essentially and similarly shapes the initial output of the TCR recombination machinery in both related and unrelated pairs, with minor effect from inherited differences. The achieved depth of TCR profiling also allowed us to test the hypothesis that mature T cells transferred across the placenta during pregnancy can expand and persist as functional microchimeric clones in their new host, using characteristic TCR beta CDR3 variants as clonal identifiers.


PLOS ONE | 2015

KillerOrange, a Genetically Encoded Photosensitizer Activated by Blue and Green Light

Karen S. Sarkisyan; Olga A. Zlobovskaya; Dmitry A. Gorbachev; Nina G. Bozhanova; George V. Sharonov; Dmitriy B. Staroverov; Evgeny S. Egorov; Anastasia V. Ryabova; Kyril M. Solntsev; Alexander S. Mishin; Konstantin A. Lukyanov

Genetically encoded photosensitizers, proteins that produce reactive oxygen species when illuminated with visible light, are increasingly used as optogenetic tools. Their applications range from ablation of specific cell populations to precise optical inactivation of cellular proteins. Here, we report an orange mutant of red fluorescent protein KillerRed that becomes toxic when illuminated with blue or green light. This new protein, KillerOrange, carries a tryptophan-based chromophore that is novel for photosensitizers. We show that KillerOrange can be used simultaneously and independently from KillerRed in both bacterial and mammalian cells offering chromatic orthogonality for light-activated toxicity.


Rheumatology International | 2011

Single high-dose treatment with glucosaminyl-muramyl dipeptide is ineffective in treating ankylosing spondylitis

Olga V. Britanova; Dmitriy B. Staroverov; Anna V. Chkalina; Alexei A. Kotlobay; Ekaterina S. Zvezdova; Anna G. Bochkova; Dmitriy M. Chudakov

Earlier studies have shown that high doses of TNF-alpha increase apoptosis in human autoimmune T-cell clones. Based on these studies, a treatment approach was proposed to reduce or eliminate autoimmune T cells in patients with type 1 diabetes using drugs that temporarily elevate TNF levels. Here, we report the treatment of ankylosing spondylitis patient with a single high oral dose of Likopid (glucosaminyl-muramyl dipeptide), which aimed at increasing the levels of TNF-alpha in order to induce apoptosis of autoreactive T cells. The flow cytometric analysis of blood samples collected before and after treatment demonstrated massive elimination of CD8+ T cells. However, the treatment did not result in any notable therapeutic effect, and real-time PCR analysis demonstrated that stably expanded T-cell clones that were earlier tracked in this patient were unaffected. This report suggests that the controversial approach to eliminate autoimmune T-cell clones through overstimulation is not effective in treating ankylosing spondylitis.

Collaboration


Dive into the Dmitriy B. Staroverov's collaboration.

Top Co-Authors

Avatar

Dmitriy M. Chudakov

Russian National Research Medical University

View shared research outputs
Top Co-Authors

Avatar

Olga V. Britanova

Russian Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Ilgar Z. Mamedov

Russian Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Mikhail Shugay

Russian National Research Medical University

View shared research outputs
Top Co-Authors

Avatar

Dmitriy A. Bolotin

Russian Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Ivan V. Zvyagin

Russian National Research Medical University

View shared research outputs
Top Co-Authors

Avatar

Sergey Lukyanov

Russian National Research Medical University

View shared research outputs
Researchain Logo
Decentralizing Knowledge