Evidence map›Paper›PMID 22139917›Full record

ArticleNucleic acids research2012

Neuron-specific ELAV/Hu proteins suppress HuR mRNA during neuronal differentiation by alternative polyadenylation.

Kyle D Mansfield, Jack D Keene

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

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5 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

2 authors.

Kyle D MansfieldDepartment of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27701, USA. kyle.mansfield@duke.edu
Jack D Keene

Funding

RNA Dynamics of Transient Macromolecular Complexes in Cancer CellsR01CA157268 · NCI · DUKE UNIVERSITY · PI KEENE, JACK D · 2011 to 2015
$1.7M
Posttranscriptional regulation of the Wnt pathway by HuR and microRNAsF32NS059100 · NINDS · DUKE UNIVERSITY · PI MANSFIELD, KYLE D · 2007 to 2008
$96k
NCI NIH HHS R01 CA157268NCI NIH HHS R01CA157268NINDS NIH HHS 5F32NS059100-02
6 · The paper itself

Abstract

The ubiquitously expressed RNA-binding protein HuR increases the stability and translation of mRNAs encoding growth regulatory proteins that promote proliferation in a variety of cell types. However, the three neuron-specific ELAV/Hu proteins, HuB, HuC and HuD, while binding to the same types of mRNAs, are required instead for neuronal differentiation, and it becomes difficult to reconcile these contrary functions when all four Hu proteins are expressed in the same neuron. HuR mRNA exists as three alternatively polyadenylated variants, a 1.5-kb testes-specific mRNA isoform, a ubiquitous 2.4-kb isoform and a 6.0-kb isoform that we now show is induced during neuronal differentiation and appears to be neuron-specific. This 6.0-kb neuron-specific mRNA isoform is inherently less stable and produces less HuR protein than the ubiquitous 2.4-kb mRNA. Furthermore, we show that neuronal HuB, HuC and HuD, as well as HuR itself, can bind at the 2.4-kb mRNA polyadenylation site, and when overexpressed can affect alternative polyadenylation to generate an extended HuR 3'-UTR that is translationally suppressed. We propose that the regulation of HuR protein expression by alternative polyadenylation allows neurons to post-transcriptionally regulate mRNAs-encoding factors required for proliferation versus differentiation to facilitate neuronal differentiation.

Indexed as

Polyadenylation3' Untranslated RegionsCell LineELAV ProteinsGene Expression RegulationHumansNeurogenesisNeuronsProtein BiosynthesisRNA IsoformsRNA Stability3' Untranslated RegionsELAV ProteinsRNA Isoforms

Identifiers

PMID22139917
PMCPMC3315332

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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.