Evidence map›Paper›PMID 30816016›Full record

ReviewWiley interdisciplinary reviews. RNA2019

Tissue-specific mechanisms of alternative polyadenylation: Testis, brain, and beyond (2018 update).

Clinton C MacDonald

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. RNA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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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

1 author.

Clinton C MacDonaldDepartment of Cell Biology & Biochemistry, Texas Tech University Health Sciences Center, Lubbock, Texas.

Funding

MRNA PROCESSING IN REPRODUCTION &FERTILIZATIONR01HD037109 · NICHD · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI MACDONALD, CLINTON C · 1999 to 2015
$3.3M
Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD037109NICHD NIH HHS R01 HD037109
6 · The paper itself

Abstract

Alternative polyadenylation (APA) is how genes choose different sites for 3' end formation for mRNAs during transcription. APA often occurs in a tissue- or developmental stage-specific manner that can significantly affect gene activity by changing the protein product generated, the stability of the transcript, its localization within the cell, or its translatability. Despite the important regulatory effects that APA has on tissue-specific gene expression, only a few examples have been characterized mechanistically. In this 2018 update to our 2010 review, we examine mechanisms for the control of APA and update our understanding of the older mechanisms since 2010. We once postulated the existence of tissue-specific factors in APA. However, while a few tissue-specific polyadenylation factors are known, the emerging conclusion is that the majority of APA is accomplished by altering levels of core polyadenylation proteins. Examples of those core proteins include CSTF2, CPSF1, and subunits of mammalian cleavage factor I. But despite support for these mechanisms, no one has yet documented any of these proteins changing in either a tissue-specific or developmental manner. Given the profound effect that APA can have on gene expression and human health, improved understanding of tissue-specific APA could lead to numerous advances in gene activity control. This article is categorized under: RNA Processing > 3' End Processing RNA in Disease and Development > RNA in Development.

Indexed as

PolyadenylationBrainGene Expression RegulationHumansMaleRNA-Binding ProteinsRNA, MessengerTestisRNA-Binding ProteinsRNA, Messengeralternative polyadenylationbrainCPSFCstFflowering controlimmune systempolyadenylationspermatogenesistestis

Identifiers

PMID30816016
PMCPMC6617714

What OpenQuestion holds

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Registered trials

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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.