Evidence map›Paper›PMID 34031030›Full record

ArticleAnnals of the rheumatic diseases2021

Single-cell transcriptome analysis identifies skin-specific T-cell responses in systemic sclerosis.

Alyxzandria M Gaydosik, Tracy Tabib, Robyn Domsic, Dinesh Khanna, Robert Lafyatis, Patrizia Fuschiotti

Open access · greenAbstract read
In one paragraph

Article in Annals of the rheumatic diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
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

48 citing papers in PubMed, 70 citations in OpenAlex.

  1. Review
  2. CD8MedComm · 2026
    Review
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  4. Transcriptional landscape of CD4+ T cells in Systemic Sclerosis.bioRxiv : the preprint server for biology · 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

6 authors at 3 institutions in 1 country.

Alyxzandria M GaydosikDivision of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Tracy TabibDivision of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Robyn DomsicDivision of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0002-2765-0922
Dinesh KhannaDivision of Rheumatology, University of Michigan Medical School, Ann Arbor, Michigan, USA.ORCID 0000-0003-1412-4453
Robert LafyatisDivision of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Patrizia FuschiottiDivision of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA paf23@pitt.edu.ORCID 0000-0003-1051-5262
Center for Rheumatology · USUniversity of Pittsburgh · USUniversity of Michigan–Ann Arbor · US

Funding

Translational studies for identifying and targeting novel pathways in systemic sclerosis pathogenesisP50AR060780 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAFYATIS, ROBERT A. · 2011 to 2021
$14.9M
NIAMS NIH HHS P50 AR060780
6 · The paper itself

Abstract

objectivesAlthough T cells have been implicated in the pathogenesis of systemic sclerosis (SSc), a comprehensive study of T-cell-mediated immune responses in the affected skin of patients with progressive SSc is lacking. Droplet-based single-cell transcriptome analysis of SSc skin biopsies opens avenues for dissecting patient-specific T-cell heterogeneity, providing a basis for identifying novel gene expression related to functional pathways associated with severity of SSc skin disease.

methodsSingle-cell RNA sequencing was performed by droplet-based sequencing (10x Genomics), focusing on 3729 CD3

resultsWe identified several subsets of recirculating and tissue-resident T cells in healthy and SSc skin that were associated with distinct signalling pathways. While most clusters shared a common gene expression signature between patients and controls, we identified a unique cluster of recirculating CXCL13

conclusionsCurrent available therapies to reverse or even slow progression of SSc lead to broad killing of immune cells and consequent toxicities, including death. Identifying the precise immune mechanism(s) driving SSc pathogenesis could lead to innovative therapies that selectively target the aberrant immune response, resulting in better efficacy and less toxicity.

Indexed as

Case-Control StudiesChemokine CXCL13Gene Expression ProfilingHumansScleroderma, DiffuseSequence Analysis, RNASingle-Cell AnalysisSkinT-LymphocytesT-Lymphocytes, Helper-InducerT-Lymphocyte SubsetsTranscriptomeChemokine CXCL13autoimmune diseasessystemic sclerosisT-lymphocyte subsets

Identifiers

PMID34031030
PMCPMC8516708
OpenAlexW3165671027

What OpenQuestion holds

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Registered trials

None linked

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.