Evidence map›Paper›PMID 24552703›Full record

ReviewMolecules and cells2014

The dharma of nonsense-mediated mRNA decay in mammalian cells.

Maximilian Wei-Lin Popp, Lynne E Maquat

Open access · diamondAbstract readReview
In one paragraph

Review in Molecules and cells, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 66 citations in OpenAlex.

  1. TargetingGenes & development · 2026
    Article
  2. Review
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  9. Genetic and Molecular Quality Control of Genetically Engineered Mice.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  10. HumanJournal of neurophysiology · 2022
    Article
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  13. Review
  14. Article
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  17. Article
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  19. Review
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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

2 authors at 1 institution in 1 country.

Maximilian Wei-Lin PoppDepartment of Biochemistry and Biophysics, School of Medicine and Dentistry, University of Rochester, Rochester, New York 14642, USA ; Center for RNA Biology, University of Rochester, Rochester, New York 14642, USA.
Lynne E Maquat
University of Rochester · US

Funding

REGULATION OF SELENOPROTEIN RNA METABOLISMR01GM059614 · NIGMS · UNIVERSITY OF ROCHESTER · PI MAQUAT, LYNNE E · 1999 to 2022
$9.1M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM059614NIGMS NIH HHS R01 GM59614
6 · The paper itself

Abstract

Mammalian-cell messenger RNAs (mRNAs) are generated in the nucleus from precursor RNAs (pre-mRNAs, which often contain one or more introns) that are complexed with an array of incompletely inventoried proteins. During their biogenesis, pre-mRNAs and their derivative mRNAs are subject to extensive cis-modifications. These modifications promote the binding of distinct polypeptides that mediate a diverse array of functions needed for mRNA metabolism, including nuclear export, inspection by the nonsense-mediated mRNA decay (NMD) quality-control machinery, and synthesis of the encoded protein product. Ribonucleoprotein complex (RNP) remodeling through the loss and gain of protein constituents before and after pre-mRNA splicing, during mRNA export, and within the cytoplasm facilitates NMD, ensuring integrity of the transcriptome. Here we review the mRNP rearrangements that culminate in detection and elimination of faulty transcripts by mammalian-cell NMD.

Indexed as

Nonsense Mediated mRNA DecayAnimalsCodon, TerminatorHumansProtein TransportRibonucleoproteinsRNA, MessengerCodon, TerminatorRibonucleoproteinsRNA, Messenger

Identifiers

PMID24552703
PMCPMC3907001
OpenAlexW2060883703

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.