Evidence map›Paper›PMID 28096055›Full record

ReviewTrends in biochemical sciences2017

An Ancient Family of RNA-Binding Proteins: Still Important!

Melissa L Wells, Lalith Perera, Perry J Blackshear

Abstract readReview
In one paragraph

Review in Trends in biochemical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
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  6. Review
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  11. Ectopic expression ofForestry research · 2024
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  12. Review
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  15. Review
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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

3 authors.

Melissa L WellsSignal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.
Lalith PereraGenome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.
Perry J BlackshearSignal Transduction Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA; Departments of Biochemistry and Medicine, Duke University Medical Center, Durham, NC 27710, USA. Electronic address: black009@niehs.nih.gov.

Funding

TTP and related proteins in the regulation of gene expressionZIAES090080 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BLACKSHEAR, PERRY J · 2009 to 2025
$52.6M
Macromolecular ModelingZICES043010 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI COPELAND, WILLIAM · 2012 to 2025
$5.7M
TTP AND RELATED PROTEINS IN INFLAMMATORY DISEASESZ01ES090080 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BLACKSHEAR, PERRY J · 1998 to 2008
$5.3M
Intramural NIH HHS Z01 ES090080
6 · The paper itself

Abstract

RNA-binding proteins are important modulators of mRNA stability, a crucial process that determines the ultimate cellular levels of mRNAs and their encoded proteins. The tristetraprolin (TTP) family of RNA-binding proteins appeared early in the evolution of eukaryotes, and has persisted in modern eukaryotes. The domain structures and biochemical functions of family members from widely divergent lineages are remarkably similar, but their mRNA 'targets' can be very different, even in closely related species. Recent gene knockout studies in species as distantly related as plants, flies, yeasts, and mice have demonstrated crucial roles for these proteins in a wide variety of physiological processes. Inflammatory and hematopoietic phenotypes in mice have suggested potential therapeutic approaches for analogous human disorders.

Indexed as

AnimalsHumansRNA-Binding ProteinsRNA-Binding Proteins

Identifiers

PMID28096055
PMCPMC5376222

What OpenQuestion holds

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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.