Evidence map›Paper›PMID 31619318›Full record

ReviewBMB reports2019

The Yin and Yang of RNA surveillance in B lymphocytes and antibody-secreting plasma cells.

Jean-Marie Lambert, Nivine Srour, Laurent Delpy

Open access · goldAbstract readReview
In one paragraph

Review in BMB reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Jean-Marie LambertUMR CNRS 7276 - INSERM 1268 - Université de Limoges, Centre de Biologie et de Recherche en Santé, 2 rue du Dr Marcland, Limoges F-87025, France.
Nivine SrourUMR CNRS 7276 - INSERM 1268 - Université de Limoges, Centre de Biologie et de Recherche en Santé, 2 rue du Dr Marcland, Limoges F-87025, France.
Laurent DelpyUMR CNRS 7276 - INSERM 1268 - Université de Limoges, Centre de Biologie et de Recherche en Santé, 2 rue du Dr Marcland, Limoges F-87025, France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The random V(D)J recombination process ensures the diversity of the primary immunoglobulin (Ig) repertoire. In two thirds of cases, imprecise recombination between variable (V), diversity (D), and joining (J) segments induces a frameshift in the open reading frame that leads to the appearance of premature termination codons (PTCs). Thus, many B lineage cells harbour biallelic V(D)J-rearrangements of Ig heavy or light chain genes, with a productively-recombined allele encoding the functional Ig chain and a nonproductive allele potentially encoding truncated Ig polypeptides. Since the pattern of Ig gene expression is mostly biallelic, transcription initiated from nonproductive Ig alleles generates considerable amounts of primary transcripts with out-of-frame V(D)J junctions. How RNA surveillance pathways cooperate to control the noise from nonproductive Ig genes will be discussed in this review, focusing on the benefits of nonsense- mediated mRNA decay (NMD) activation during B-cell development and detrimental effects of nonsense-associated altered splicing (NAS) in terminally differentiated plasma cells. [BMB Reports 2019; 52(12): 671-678].

Indexed as

Genes, ImmunoglobulinNonsense Mediated mRNA DecayAllelesAnimalsAntibody FormationB-LymphocytesCodon, NonsenseHumansImmunoglobulinsPlasma CellsRNA, MessengerRNA SplicingV(D)J RecombinationCodon, NonsenseImmunoglobulinsRNA, Messenger

Identifiers

PMID31619318
PMCPMC6941761
OpenAlexW2989944974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.