Evidence map›Paper›PMID 31509743›Full record

ArticleCell reports2019

RNA Binding Protein CELF2 Regulates Signal-Induced Alternative Polyadenylation by Competing with Enhancers of the Polyadenylation Machinery.

Rakesh Chatrikhi, Michael J Mallory, Matthew R Gazzara, Laura M Agosto, Wandi S Zhu, Adam J Litterman, K Mark Ansel, Kristen W Lynch

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

32 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. bioRxiv : the preprint server for biology · 2024
    Article
  11. 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

8 authors at 2 institutions in 1 country.

Rakesh ChatrikhiDepartment of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Michael J MalloryDepartment of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Matthew R GazzaraDepartment of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Laura M AgostoDepartment of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Graduate Group in Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Wandi S ZhuDepartment of Microbiology and Immunology, UC San Francisco, San Francisco, CA 94143, USA.
Adam J LittermanDepartment of Microbiology and Immunology, UC San Francisco, San Francisco, CA 94143, USA.
K Mark AnselDepartment of Microbiology and Immunology, UC San Francisco, San Francisco, CA 94143, USA.
Kristen W LynchDepartment of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Graduate Group in Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: klync@pennmedicine.upenn.edu.
University of Pennsylvania · USUniversity of California, San Francisco · US

Funding

MOLECULAR AND CELLULAR IMMUNOLOGYT32AI007334 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CYSTER, JASON G · 1988 to 2023
$11.0M
Signal-Induced Regulation of Alternative RNA ProcessingR35GM118048 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI KRISTEN W LYNCH · 2016 to 2026
$6.6M
NIAID NIH HHS T32 AI007334NIGMS NIH HHS R35 GM118048
6 · The paper itself

Abstract

The 3' UTR (UTR) of human mRNAs plays a critical role in controlling protein expression and function. Importantly, 3' UTRs of human messages are not invariant for each gene but rather are shaped by alternative polyadenylation (APA) in a cell state-dependent manner, including in response to T cell activation. However, the proteins and mechanisms driving APA regulation remain poorly understood. Here we show that the RNA-binding protein CELF2 controls APA of its own message in a signal-dependent manner by competing with core enhancers of the polyadenylation machinery for binding to RNA. We further show that CELF2 binding overlaps with APA enhancers transcriptome-wide, and almost half of 3' UTRs that undergo T cell signaling-induced APA are regulated in a CELF2-dependent manner. These studies thus reveal CELF2 to be a critical regulator of 3' UTR identity in T cells and demonstrate an additional mechanism for CELF2 in regulating polyadenylation site choice.

Indexed as

3' Untranslated RegionsCELF ProteinsCell Line, TumorCleavage And Polyadenylation Specificity FactorEnhancer Elements, GeneticGene Expression RegulationHumansIntronsNerve Tissue ProteinsPolyadenylationProtein BindingRepressor ProteinsRNA-Binding ProteinsRNA-SeqRNA Splicing FactorsSignal Transduction3' Untranslated RegionsCELF2 protein, humanCELF ProteinsCleavage And Polyadenylation Specificity FactorNerve Tissue ProteinsNudt21 protein, humanRBFOX2 protein, humanRepressor ProteinsRNA-Binding ProteinsRNA Splicing FactorsSplicing Factor U2AFU2AF2 protein, human3′ UTRAPACELF2CFIm25CstF64polyadenylation

Identifiers

PMID31509743
PMCPMC6752737
OpenAlexW2973185075

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.