Evidence map›Paper›PMID 23677826›Full record

ReviewWiley interdisciplinary reviews. RNA

Translation regulation gets its 'omics' moment.

Scott Kuersten, Agnes Radek, Christine Vogel, Luiz O F Penalva

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. RNA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  19. Mechanisms of protein balance in skeletal muscle.Domestic animal endocrinology · 2016
    Review
  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

4 authors.

Scott KuerstenEpicentre (An Illumina Company), Madison, WI, USA.
Agnes Radek
Christine Vogel
Luiz O F Penalva

Funding

Computational Methods for Deep Sequencing Based RBP Binding Motif CharacterizatioR01HG006015 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENALVA, LUIZ OTAVIO, SMITH, ANDREW DAVID · 2011 to 2017
$2.6M
NHGRI NIH HHS R01 HG006015NHGRI NIH HHS R01HG006015
6 · The paper itself

Abstract

The fate of cellular RNA is largely determined by complex networks of protein-RNA interactions through ribonucleoprotein (RNP) complexes. Despite their relatively short half-life, transcripts associate with many different proteins that process, modify, translate, and degrade the RNA. Following biogenesis some mRNPs are immediately directed to translation and produce proteins, but many are diverted and regulated by processes including miRNA-mediated mechanisms, transport and localization, as well as turnover. Because of this complex interplay estimates of steady-state expression by methods such as RNAseq alone cannot capture critical aspects of cellular fate, environmental response, tumorigenesis, or gene expression regulation. More selective and integrative tools are needed to measure protein-RNA complexes and the regulatory processes involved. One focus area is measurements of the transcriptome associated with ribosomes and translation. These so-called polysome or ribosome profiling techniques can evaluate translation efficiency as well as the interplay between translation initiation, elongation, and termination-subject areas not well understood at a systems biology level. Ribosome profiling is a highly promising technique that provides mRNA positional information of ribosome occupancy, potentially bridging the gap between gene expression (i.e., RNAseq and microarray analysis) and protein quantification (i.e., mass spectrometry). In combination with methods such as RNA immunoprecipitation, miRNA profiling, or proteomics, we obtain a fresh view of global post-transcriptional and translational gene regulation. In addition, these techniques also provide new insight into new regulatory elements, such as alternative open reading frames, and translation regulation under different conditions.

Indexed as

Protein BiosynthesisGene Expression RegulationMicroRNAsProteomicsRibonucleoproteinsRibosomesRNA-Binding ProteinsMicroRNAsRibonucleoproteinsRNA-Binding Proteins

Identifiers

PMID23677826
PMCPMC3797170

What OpenQuestion holds

Textmetadata
LicenceTDM
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.