Evidence map›Paper›PMID 40255395›Full record

ArticleFrontiers in immunology2025

Repertoire-based mapping and time-tracking of T helper cell subsets in scRNA-Seq.

Daniil K Lukyanov, Valeriia V Kriukova, Kristin Ladell, Irina A Shagina, Dmitry B Staroverov, Bella E Minasian, Anna S Fedosova, Pavel Shelyakin, Oleg N Suchalko, Alexander Y Komkov and 6 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. T Cell Thoughts.Immunological reviews · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Daniil K Lukyanov *Center for Molecular and Cellular Biology, Moscow, Russia.
Valeriia V Kriukova *Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Kristin Ladell *Division of Infection and Immunity, Cardiff University School of Medicine, University Hospital of Wales, Cardiff, United Kingdom.
Irina A ShaginaGenomics of Adaptive Immunity Department, Institute of Bioorganic Chemistry, Moscow, Russia.
Dmitry B StaroverovGenomics of Adaptive Immunity Department, Institute of Bioorganic Chemistry, Moscow, Russia.
Bella E MinasianAbu Dhabi Stem Cell Center, Al Muntazah, United Arab Emirates.
Anna S FedosovaAbu Dhabi Stem Cell Center, Al Muntazah, United Arab Emirates.
Pavel ShelyakinAbu Dhabi Stem Cell Center, Al Muntazah, United Arab Emirates.
Oleg N SuchalkoAbu Dhabi Stem Cell Center, Al Muntazah, United Arab Emirates.
Alexander Y KomkovAbu Dhabi Stem Cell Center, Al Muntazah, United Arab Emirates.
Konstantin A BlagodatskikhInstitute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia.
Kelly L MinersDivision of Infection and Immunity, Cardiff University School of Medicine, University Hospital of Wales, Cardiff, United Kingdom.
Olga V BritanovaGenomics of Adaptive Immunity Department, Institute of Bioorganic Chemistry, Moscow, Russia.
Andre FrankeInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
David A PriceDivision of Infection and Immunity, Cardiff University School of Medicine, University Hospital of Wales, Cardiff, United Kingdom.
Dmitry M ChudakovCenter for Molecular and Cellular Biology, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The functional programs of CD4 Methods: In this study, we introduce TCR-Track, a method leveraging immune repertoire data to map phenotypically sorted Th subsets onto scRNA-Seq profiles. Results and discussion: This approach accurately positions the Th1, Th1-17, Th17, Th22, Th2a, Th2, T follicular helper (Tfh), and regulatory T-cell (Treg) subsets, outperforming mapping based on CITE-Seq. Remarkably, the mapping is tightly focused on specific scRNA-Seq clusters, despite 4-year interval between subset sorting and the effector CD4

Indexed as

RNA-SeqSingle-Cell AnalysisT-Lymphocytes, Helper-InducerT-Lymphocyte SubsetsHumansSequence Analysis, RNASingle-Cell Gene Expression Analysiscytotoxic CD4+ T cellshelper T cell subsetsimmune repertoiresscRNA-SeqscTCR-seqT cell memoryTh17Th22

Identifiers

PMID40255395
PMCPMC12006041

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.