Evidence map›Paper›PMID 27382025›Full record

ArticleGenome research2016

A comprehensive analysis of 3' end sequencing data sets reveals novel polyadenylation signals and the repressive role of heterogeneous ribonucleoprotein C on cleavage and polyadenylation.

Andreas J Gruber, Ralf Schmidt, Andreas R Gruber, Georges Martin, Souvik Ghosh, Manuel Belmadani, Walter Keller, Mihaela Zavolan

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
138citing papers in PubMed, 1 pooled it
–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

138 citing papers in PubMed, 1 synthesis or guideline pooled it, 235 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. PolyA-GLM: A comprehensive framework forComputational and structural biotechnology journal · 2026
    Article
  8. Article
  9. Article
  10. Transposon Regulation in thebioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Review
  13. Characterization and molecular targeting of CFIm25 (NUDT21/CPSF5) mRNA using miRNAs.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  14. Article
  15. Article
  16. Coupling of alternative splicing and alternative polyadenylation.Acta biochimica et biophysica Sinica · 2024
    Review
  17. Review
  18. Review
  19. Article
  20. Article

78 more citing papers are in PubMed but not listed here.

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

8 authors at 1 institution in 1 country.

Andreas J GruberComputational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland.
Ralf SchmidtComputational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland.
Andreas R GruberComputational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland.
Georges MartinComputational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland.
Souvik GhoshComputational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland.
Manuel BelmadaniComputational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland.
Walter KellerComputational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland.
Mihaela ZavolanComputational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland.ORCID 0000-0002-8832-2041
University of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative polyadenylation (APA) is a general mechanism of transcript diversification in mammals, which has been recently linked to proliferative states and cancer. Different 3' untranslated region (3' UTR) isoforms interact with different RNA-binding proteins (RBPs), which modify the stability, translation, and subcellular localization of the corresponding transcripts. Although the heterogeneity of pre-mRNA 3' end processing has been established with high-throughput approaches, the mechanisms that underlie systematic changes in 3' UTR lengths remain to be characterized. Through a uniform analysis of a large number of 3' end sequencing data sets, we have uncovered 18 signals, six of which are novel, whose positioning with respect to pre-mRNA cleavage sites indicates a role in pre-mRNA 3' end processing in both mouse and human. With 3' end sequencing we have demonstrated that the heterogeneous ribonucleoprotein C (HNRNPC), which binds the poly(U) motif whose frequency also peaks in the vicinity of polyadenylation (poly(A)) sites, has a genome-wide effect on poly(A) site usage. HNRNPC-regulated 3' UTRs are enriched in ELAV-like RBP 1 (ELAVL1) binding sites and include those of the CD47 gene, which participate in the recently discovered mechanism of 3' UTR-dependent protein localization (UDPL). Our study thus establishes an up-to-date, high-confidence catalog of 3' end processing sites and poly(A) signals, and it uncovers an important role of HNRNPC in regulating 3' end processing. It further suggests that U-rich elements mediate interactions with multiple RBPs that regulate different stages in a transcript's life cycle.

Indexed as

Transcription, Genetic3' Untranslated RegionsAnimalsBinding SitesCytoplasmGene ExpressionHeterogeneous-Nuclear Ribonucleoprotein Group CHumansMicePolyadenylationRNA-Binding ProteinsRNA, Messenger3' Untranslated RegionsHeterogeneous-Nuclear Ribonucleoprotein Group CRNA-Binding ProteinsRNA, Messenger

Identifiers

PMID27382025
PMCPMC4971764
OpenAlexW2461965332

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.