Evidence map›Paper›PMID 34835019›Full record

ArticleViruses2021

Single-Cell RNAseq Profiling of Human γδ T Lymphocytes in Virus-Related Cancers and COVID-19 Disease.

Juan Pablo Cerapio, Marion Perrier, Fréderic Pont, Marie Tosolini, Camille Laurent, Stéphane Bertani, Jean-Jacques Fournie

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

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  7. FromFrontiers in immunology · 2025
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  15. Article
  16. Hallmarks of Severe COVID-19 Pathogenesis:Frontiers in immunology · 2022
    Review
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

7 authors at 2 institutions in 1 country.

Juan Pablo CerapioCentre de Recherches en Cancérologie de Toulouse, Inserm UMR 1037, 31037 Toulouse, France.
Marion PerrierCentre de Recherches en Cancérologie de Toulouse, Inserm UMR 1037, 31037 Toulouse, France.
Fréderic PontCentre de Recherches en Cancérologie de Toulouse, Inserm UMR 1037, 31037 Toulouse, France.ORCID 0000-0002-5493-527X
Marie TosoliniCentre de Recherches en Cancérologie de Toulouse, Inserm UMR 1037, 31037 Toulouse, France.ORCID 0000-0001-5278-5952
Camille LaurentCentre de Recherches en Cancérologie de Toulouse, Inserm UMR 1037, 31037 Toulouse, France.
Stéphane BertaniToulouse University, 31062 Toulouse, France.ORCID 0000-0002-0398-9745
Jean-Jacques FournieCentre de Recherches en Cancérologie de Toulouse, Inserm UMR 1037, 31037 Toulouse, France.
Centre National de la Recherche Scientifique · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FR

Funding

Fondation ARC pour la Recherche sur le Cancer PGA1-RF2019-0208691Inserm Institutional grant U1037Labex Toulouse Cancer (TOUCAN) ANR11-LABX
6 · The paper itself

Abstract

The detailed characterization of human γδ T lymphocyte differentiation at the single-cell transcriptomic (scRNAseq) level in tumors and patients with coronavirus disease 2019 (COVID-19) requires both a reference differentiation trajectory of γδ T cells and a robust mapping method for additional γδ T lymphocytes. Here, we incepted such a method to characterize thousands of γδ T lymphocytes from (

Indexed as

RNA-SeqAdultBronchoalveolar Lavage FluidCell DifferentiationChildCOVID-19Head and Neck NeoplasmsHerpesvirus 4, HumanHodgkin DiseaseHumansLungLymphocyte ActivationLymphocyte CountLymphocytes, Tumor-InfiltratingNeoplasmsPapillomaviridaeReceptors, Antigen, T-Cell, gamma-deltaCOVID-19differentiationgammadeltahumanlymphocytesingle celltrajectorytranscriptometumor

Identifiers

PMID34835019
PMCPMC8623150
OpenAlexW3210027344

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.