Evidence map›Paper›PMID 33824465›Full record

ArticleLeukemia2021

RNA-sequencing data-driven dissection of human plasma cell differentiation reveals new potential transcription regulators.

Alboukadel Kassambara, Laurie Herviou, Sara Ovejero, Michel Jourdan, Coraline Thibaut, Veronika Vikova, Philippe Pasero, Olivier Elemento, Jérôme Moreaux

Open access · hybridAbstract read
In one paragraph

Article in Leukemia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 51 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Alboukadel KassambaraDepartment of Biological Hematology, CHU Montpellier, Montpellier, France.
Laurie HerviouIGH, CNRS, University of Montpellier, Montpellier, France.
Sara OvejeroDepartment of Biological Hematology, CHU Montpellier, Montpellier, France.
Michel JourdanIGH, CNRS, University of Montpellier, Montpellier, France.
Coraline ThibautIGH, CNRS, University of Montpellier, Montpellier, France.
Veronika VikovaIGH, CNRS, University of Montpellier, Montpellier, France.
Philippe PaseroIGH, CNRS, University of Montpellier, Montpellier, France.
Olivier ElementoEnglander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA.
Jérôme MoreauxDepartment of Biological Hematology, CHU Montpellier, Montpellier, France. jerome.moreaux@igh.cnrs.fr.ORCID http://orcid.org/0000-0002-5717-3207
Centre National de la Recherche Scientifique · FRCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasma cells (PCs) play an important role in the adaptive immune system through a continuous production of antibodies. We have demonstrated that PC differentiation can be modeled in vitro using complex multistep culture systems reproducing sequential differentiation process occurring in vivo. Here we present a comprehensive, temporal program of gene expression data encompassing human PC differentiation (PCD) using RNA sequencing (RNA-seq). Our results reveal 6374 differentially expressed genes classified into four temporal gene expression patterns. A stringent pathway enrichment analysis of these gene clusters highlights known pathways but also pathways largely unknown in PCD, including the heme biosynthesis and the glutathione conjugation pathways. Additionally, our analysis revealed numerous novel transcriptional networks with significant stage-specific overexpression and potential importance in PCD, including BATF2, BHLHA15/MIST1, EZH2, WHSC1/MMSET, and BLM. We have experimentally validated a potent role for BLM in regulating cell survival and proliferation during human PCD. Taken together, this RNA-seq analysis of PCD temporal stages helped identify coexpressed gene modules with associated up/downregulated transcription regulator genes that could represent major regulatory nodes for human PC maturation. These data constitute a unique resource of human PCD gene expression programs in support of future studies for understanding the underlying mechanisms that control PCD.

Indexed as

Cell DifferentiationCell Line, TumorCell ProliferationDown-RegulationGene Expression RegulationGlutathioneHemeHumansPlasma CellsRNASequence Analysis, RNATranscription FactorsTranscription, GeneticUp-RegulationGlutathioneHemeRNATranscription Factors

Identifiers

PMID33824465
PMCPMC8102200
OpenAlexW3142530067

What OpenQuestion holds

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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.