Author

Y. B. Lebedev

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 7

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 6 Organism:human· 6 Approach:statistical model· 6 Assay:scRNA-seq· 4 Assay:CITE-seq· 3 Research Focus:clustering· 3 Research Focus:differential expression· 3 Research Focus:cell-cell communication· 2

Frequent Co-Authors

D. M. Chudakov· 7 shared A. A. Minervina· 5 shared I. Z. Mamedov· 5 shared M. V. Pogorelyy· 5 shared T. Mora· 5 shared A. M. Walczak· 4 shared A. Y. Komkov· 3 shared E. A. Komech· 3 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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7 shared papersImmunology

D. M. Chudakov

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7 papers

Recent·Most cited

Non-canonical D1-D2 recombination produces two types of rearrangements and represents a conservative hidden stage of T-cell receptor beta chain generation

A. O. Smirnova, A. M. Miroshnichenkova, L. D. Belyaeva, I. V. Kelmanson, Y. B. Lebedev, I. Z. Mamedov, D. M. Chudakov, A. Y. Komkov

The paper identifies non-canonical D1-D2 recombination in T-cell receptor beta chain generation, revealing two types of rearrangements and their role in memory T-cell function.

bioRxiv · Apr 21, 2023 · PreprintImmunology

The use of non-functional clonotypes as a natural calibrator for quantitative bias correction in adaptive immune receptor repertoire profiling

A. O. Smirnova, A. M. Miroshnichenkova, Y. V. Olshanskaya, M. A. Maschan, Y. B. Lebedev, D. M. Chudakov, I. Mamedov, A. Y. Komkov

The paper introduces a method to correct PCR bias in immune repertoire sequencing by using non-functional clonotypes as a calibrator, improving accuracy across different sequencing approaches.

bioRxiv · Mar 24, 2021Immunology

Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection

A. A. Minervina, E. A. Komech, A. Titov, M. Bensouda Koraichi, E. Rosati, I. Z. Mamedov, A. Franke, G. A. Efimov, D. M. Chudakov, T. Mora, A. M. Walczak, Y. B. Lebedev, M. V. Pogorelyy

This study tracks T cell memory formation after mild COVID-19 infection using longitudinal TCR sequencing, showing clonal expansion and memory phenotype acquisition in infected individuals.

bioRxiv · May 18, 2020Immunology

Comprehensive analysis of antiviral adaptive immunity formation and reactivation down to single-cell level

A. A. Minervina, M. V. Pogorelyy, E. A. Komech, V. K. Karnauhov, P. Bacher, E. Rosati, A. Franke, D. M. Chudakov, I. Z. Mamedov, Y. B. Lebedev, T. Mora, A. M. Walczak

The paper tracks T-cell clone dynamics and TCR repertoire changes after primary and secondary yellow fever vaccination using single-cell RNAseq and TCRseq.

bioRxiv · Oct 25, 2019 · PreprintImmunology

Detecting T-cell receptors involved in immune responses from single repertoire snapshots

M. V. Pogorelyy, A. A. Minervina, M. Shugay, D. M. Chudakov, Y. B. Lebedev, T. Mora, A. M. Walczak

This paper introduces ALICE, a method to identify TCRs involved in immune responses from single RepSeq samples, showing its effectiveness across various disease conditions.

bioRxiv · Jul 23, 2018Immunology

Precise tracking of vaccine-responding T-cell clones reveals convergent and personalized response in identical twins

M. V. Pogorelyy, A. A. Minervina, M. Puelma Touzel, A. L. Sycheva, E. A. Komech, E. I. Kovalenko, G. G. Karganova, E. S. Egorov, A. Y. Komkov, D. M. Chudakov, I. Z. Mamedov, T. Mora, A. Walczak, Y. B. Lebedev

The paper develops a statistical framework to detect TCR clone changes in vaccinated twins and finds convergent yet personalized TCR responses.

bioRxiv · Apr 13, 2018Immunology

Method for identification of condition-associated public antigen receptor sequences

M. V. Pogorelyy, A. A. Minervina, D. M. Chudakov, I. Z. Mamedov, Y. B. Lebedev, T. Mora, A. M. Walczak

The paper develops a statistical framework to associate antigen receptor sequences with diseases using a small patient cohort, successfully identifying validated receptors for Cytomegalovirus and type 1 diabetes.

bioRxiv · Sep 28, 2017Immunology