Evidence map›Paper›PMID 25483043›Full record

ReviewRNA biology2014

Proteins involved in the degradation of cytoplasmic mRNA in the major eukaryotic model systems.

Aleksandra Siwaszek, Marta Ukleja, Andrzej Dziembowski

Abstract readReview
In one paragraph

Review in RNA biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–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

44 citing papers in PubMed.

  1. Article
  2. Review
  3. Obstructive hypertrophic cardiomyopathy: from genetic insights to a multimodal therapeutic approach with mavacamten, aficamten, and beyond.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. An Update on MYBPC3 Gene Mutation in Hypertrophic Cardiomyopathy.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Functional analysis ofJournal of medical genetics · 2022
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
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.

Aleksandra Siwaszeka Institute of Biochemistry and Biophysics ; Polish Academy of Sciences ; Warsaw , Poland.
Marta Ukleja
Andrzej Dziembowski

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of mRNA decay and surveillance is considered to be one of the main posttranscriptional gene expression regulation platforms in eukaryotes. The degradation of stable, protein-coding transcripts is normally initiated by removal of the poly(A) tail followed by 5'-cap hydrolysis and degradation of the remaining mRNA body by Xrn1. Alternatively, the exosome complex degrades mRNA in the 3'>5'direction. The newly discovered uridinylation-dependent pathway, which is present in many different organisms, also seems to play a role in bulk mRNA degradation. Simultaneously, to avoid the synthesis of incorrect proteins, special cellular machinery is responsible for the removal of faulty transcripts via nonsense-mediated, no-go, non-stop or non-functional 18S rRNA decay. This review is focused on the major eukaryotic cytoplasmic mRNA degradation pathways showing many similarities and pointing out main differences between the main model-species: yeast, Drosophila, plants and mammals.

Indexed as

Models, BiologicalAnimalsCytoplasmEukaryotic CellsHumansProteinsRNA, MessengerRNA StabilityProteinsRNA, MessengerArabidopsis thalianaDrosophila melanogasterhumanmRNA decaymRNA surveillanceSaccharomyces cerevisiaeSchizosaccharomyces pombe

Identifiers

PMID25483043
PMCPMC4615280

What OpenQuestion holds

Textmetadata
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.