Evidence map›Paper›PMID 33815360›Full record

ArticleFrontiers in immunology2021

Connection of BANK1, Tolerance, Regulatory B cells, and Apoptosis: Perspectives of a Reductionist Investigation.

Ludmilla Le Berre, Mélanie Chesneau, Richard Danger, Florian Dubois, Damien Chaussabel, Mathieu Garand, Sophie Brouard

Open access · goldAbstract read
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
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  8. Efficient Generation of Paired Single-Cell Multiomics Profiles by Deep Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
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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

7 authors at 3 institutions in 2 countries.

Ludmilla Le BerreCHU Nantes, Université de Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France.
Mélanie ChesneauCHU Nantes, Université de Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France.
Richard DangerCHU Nantes, Université de Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France.
Florian DuboisCHU Nantes, Université de Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France.
Damien ChaussabelSystems Biology and Immunology, Sidra Medicine, Doha, Qatar.
Mathieu GarandSystems Biology and Immunology, Sidra Medicine, Doha, Qatar.
Sophie BrouardCHU Nantes, Université de Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France.
Inserm · FRNantes Université · FRQatar Airways (Qatar) · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BANK1 transcript is upregulated in whole blood after kidney transplantation in tolerant patients. In comparison to patients with rejection, tolerant patients display higher level of regulatory B cells (Bregs) expressing granzyme B (GZMB

Indexed as

Adaptor Proteins, Signal TransducingApoptosisBiomarkersB-Lymphocytes, RegulatoryGene Expression RegulationHumansImmune ToleranceLymphocyte ActivationMembrane ProteinsModels, BiologicalReceptors, Antigen, B-CellSignal TransductionTransplantation ImmunologyAdaptor Proteins, Signal TransducingBANK1 protein, humanBiomarkersMembrane ProteinsReceptors, Antigen, B-CellapoptosisBANK1B cellsregulatory B cellstolerancetransplantation

Identifiers

PMID33815360
PMCPMC8015775
OpenAlexW3138286713

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.