Evidence map›Paper›PMID 35196398›Full record

ArticleImmunology2022

Distinguishing activated T regulatory cell and T conventional cells by single-cell technologies.

Julia Reinhardt, Virag Sharma, Antigoni Stavridou, Annett Lindner, Susanne Reinhardt, Andreas Petzold, Mathias Lesche, Fabian Rost, Ezio Bonifacio, Anne Eugster

Open access · hybridAbstract read
In one paragraph

Article in Immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Resolving ScRNA-Seq Signatures of Antigen-Specific CD4bioRxiv : the preprint server for biology · 2025
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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

10 authors at 3 institutions in 1 country.

Julia ReinhardtCenter for Regenerative Therapies Dresden, Faculty of Medicine, TU Dresden, Dresden, Germany.
Virag SharmaCenter for Regenerative Therapies Dresden, Faculty of Medicine, TU Dresden, Dresden, Germany.
Antigoni StavridouCenter for Regenerative Therapies Dresden, Faculty of Medicine, TU Dresden, Dresden, Germany.
Annett LindnerCenter for Regenerative Therapies Dresden, Faculty of Medicine, TU Dresden, Dresden, Germany.
Susanne ReinhardtCenter for Molecular and Cellular Bioengineering (CMCB), DRESDEN-concept Genome Center, Technische Universität Dresden, Dresden, Germany.
Andreas PetzoldCenter for Molecular and Cellular Bioengineering (CMCB), DRESDEN-concept Genome Center, Technische Universität Dresden, Dresden, Germany.
Mathias LescheCenter for Molecular and Cellular Bioengineering (CMCB), DRESDEN-concept Genome Center, Technische Universität Dresden, Dresden, Germany.
Fabian RostCenter for Regenerative Therapies Dresden, Faculty of Medicine, TU Dresden, Dresden, Germany.
Ezio BonifacioCenter for Regenerative Therapies Dresden, Faculty of Medicine, TU Dresden, Dresden, Germany.
Anne EugsterCenter for Regenerative Therapies Dresden, Faculty of Medicine, TU Dresden, Dresden, Germany.ORCID 0000-0001-8009-5959
Center for Systems Biology Dresden · DEDeutsches Diabetes-Zentrum e.V. · DETechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resting conventional T cells (Tconv) can be distinguished from T regulatory cells (Treg) by the canonical markers FOXP3, CD25 and CD127. However, the expression of these proteins alters after T-cell activation leading to overlap between Tconv and Treg. The objective of this study was to distinguish resting and antigen-responsive T effector (Tconv) and Treg using single-cell technologies. CD4

Indexed as

Lymphocyte ActivationT-Lymphocytes, RegulatoryBiomarkersFlow CytometryForkhead Transcription FactorsLymphocyte CountBiomarkersForkhead Transcription FactorsactivationCD4 cellT celltranscriptomicsTreg

Identifiers

PMID35196398
PMCPMC9426617
OpenAlexW4213421361

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.