Evidence map›Paper›PMID 33007254›Full record

ArticleMolecular cell2020

Overlapping Activities of ELAV/Hu Family RNA Binding Proteins Specify the Extended Neuronal 3' UTR Landscape in Drosophila.

Lu Wei, Seungjae Lee, Sonali Majumdar, Binglong Zhang, Piero Sanfilippo, Brian Joseph, Pedro Miura, Matthias Soller, Eric C Lai

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
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  4. Review
  5. Article
  6. Article
  7. Sex-specific transcriptome dynamics ofGenes & development · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Coupling of alternative splicing and alternative polyadenylation.Acta biochimica et biophysica Sinica · 2024
    Review
  13. Review
  14. Article
  15. Review
  16. dTrmt10A impacts Hsp70 chaperone mScientific reports · 2023
    Article
  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

9 authors at 4 institutions in 2 countries.

Lu WeiDepartment of Developmental Biology, Sloan Kettering Institute, New York, NY 10065, USA.
Seungjae LeeDepartment of Developmental Biology, Sloan Kettering Institute, New York, NY 10065, USA.
Sonali MajumdarDepartment of Developmental Biology, Sloan Kettering Institute, New York, NY 10065, USA.
Binglong ZhangDepartment of Developmental Biology, Sloan Kettering Institute, New York, NY 10065, USA.
Piero SanfilippoDepartment of Developmental Biology, Sloan Kettering Institute, New York, NY 10065, USA; Louis V. Gerstner, Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Brian JosephDepartment of Developmental Biology, Sloan Kettering Institute, New York, NY 10065, USA; Louis V. Gerstner, Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Pedro MiuraDepartment of Developmental Biology, Sloan Kettering Institute, New York, NY 10065, USA; Department of Biology, University of Nevada, Reno, Reno, NV 89557, USA.
Matthias SollerSchool of Biosciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK.
Eric C LaiDepartment of Developmental Biology, Sloan Kettering Institute, New York, NY 10065, USA. Electronic address: laie@mskcc.org.
Kettering University · USMemorial Sloan Kettering Cancer Center · USUniversity of Birmingham · GBUniversity of Nevada, Reno · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Selective regulatory and biogenesis mechanisms for microRNAsR01GM083300 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Eric C Lai · 2007 to 2026
$9.8M
Mechanism and regulation of Hu family RNA binding proteins during neural alternative polyadenylationR01NS083833 · NINDS · SLOAN-KETTERING INST CAN RESEARCH · PI LAI, ERIC C · 2014 to 2023
$5.4M
NCI NIH HHS P30 CA008748NIGMS NIH HHS R01 GM083300NINDS NIH HHS R01 NS083833
6 · The paper itself

Abstract

The tissue-specific deployment of highly extended neural 3' UTR isoforms, generated by alternative polyadenylation (APA), is a broad and conserved feature of metazoan genomes. However, the factors and mechanisms that control neural APA isoforms are not well understood. Here, we show that three ELAV/Hu RNA binding proteins (Elav, Rbp9, and Fne) have similar capacities to induce a lengthened 3' UTR landscape in an ectopic setting. These factors promote accumulation of chromatin-associated, 3' UTR-extended, nascent transcripts, through inhibition of proximal polyadenylation site (PAS) usage. Notably, Elav represses an unannotated splice isoform of fne, switching the normally cytoplasmic Fne toward the nucleus in elav mutants. We use genomic profiling to reveal strong and broad loss of neural APA in elav/fne double mutant CNS, the first genetic background to largely abrogate this distinct APA signature. Overall, we demonstrate how regulatory interplay and functionally overlapping activities of neural ELAV/Hu RBPs drives the neural APA landscape.

Indexed as

3' Untranslated RegionsAlternative SplicingAmino Acid MotifsAnimalsCell LineCell NucleusDrosophila melanogasterDrosophila ProteinsELAV ProteinsLarvaMutationNeuronsPoly AProtein IsoformsRNA, Messenger3' Untranslated RegionsDrosophila ProteinsELAV ProteinsPoly AProtein IsoformsRNA, Messenger3′ UTRalternative polyadenylationAPACNSDrosophilaElavHuneuronRBPRNA binding protein

Identifiers

PMID33007254
PMCPMC7546445
OpenAlexW3091182427

What OpenQuestion holds

Textmetadata
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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.