Evidence map›Paper›PMID 34322127›Full record

ArticleFrontiers in immunology2021

A Single-Cell Atlas of Lymphocyte Adaptive Immune Repertoires and Transcriptomes Reveals Age-Related Differences in Convalescent COVID-19 Patients.

Florian Bieberich, Rodrigo Vazquez-Lombardi, Alexander Yermanos, Roy A Ehling, Derek M Mason, Bastian Wagner, Edo Kapetanovic, Raphael Brisset Di Roberto, Cédric R Weber, Miodrag Savic and 2 more

Abstract readComparative Study
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Performance of T-TrackDiagnostics (Basel, Switzerland) · 2023
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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

12 authors.

Florian BieberichDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Rodrigo Vazquez-LombardiDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Alexander YermanosDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Roy A EhlingDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Derek M MasonDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Bastian WagnerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Edo KapetanovicDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Raphael Brisset Di RobertoDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Cédric R WeberDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Miodrag SavicDepartment of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
Fabian RudolfDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Sai T ReddyDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 disease outcome is highly dependent on adaptive immunity from T and B lymphocytes, which play a critical role in the control, clearance and long-term protection against SARS-CoV-2. To date, there is limited knowledge on the composition of the T and B cell immune receptor repertoires [T cell receptors (TCRs) and B cell receptors (BCRs)] and transcriptomes in convalescent COVID-19 patients of different age groups. Here, we utilize single-cell sequencing (scSeq) of lymphocyte immune repertoires and transcriptomes to quantitatively profile the adaptive immune response in COVID-19 patients of varying age. We discovered highly expanded T and B cells in multiple patients, with the most expanded clonotypes coming from the effector CD8

Indexed as

Adaptive ImmunityAdultAgedAgingB-LymphocytesCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCells, CulturedConvalescenceCOVID-19FemaleHumansMaleMiddle AgedReceptors, Antigen, B-CellReceptors, Antigen, T-CellReceptors, Antigen, B-CellReceptors, Antigen, T-CellantibodyB cellCOVID-19SARS-CoV-2single-cellT cellVDJ repertoire

Identifiers

PMID34322127
PMCPMC8312723

What OpenQuestion holds

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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.