Evidence map›Paper›PMID 35273099›Full record

ArticleRNA (New York, N.Y.)2022

The interplay between translational efficiency, poly(A) tails, microRNAs, and neuronal activation.

Timothy J Eisen, Jingyi Jessica Li, David P Bartel

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Exceptionally long-lived nuclear RNAs.Science (New York, N.Y.) · 2024
    Article
  10. 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

3 authors at 2 institutions in 1 country.

Timothy J EisenHoward Hughes Medical Institute, Cambridge, Massachusetts 02142, USA.ORCID 0000-0002-4812-4171
Jingyi Jessica LiDepartment of Statistics, Department of Biostatistics, Department of Computational Medicine, and Department of Human Genetics, University of California, Los Angeles, California 90095, USA.ORCID 0000-0002-9288-5648
David P BartelHoward Hughes Medical Institute, Cambridge, Massachusetts 02142, USA.
Howard Hughes Medical Institute · USUniversity of California, Los Angeles · US

Funding

Post-transcriptional gene regulationR35GM118135 · NIGMS · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI DAVID P BARTEL · 2016 to 2026
$10.7M
NIGMS NIH HHS R35 GM118135
6 · The paper itself

Abstract

Neurons provide a rich setting for studying post-transcriptional control. Here, we investigate the landscape of translational control in neurons and search for mRNA features that explain differences in translational efficiency (TE), considering the interplay between TE, mRNA poly(A)-tail lengths, microRNAs, and neuronal activation. In neurons and brain tissues, TE correlates with tail length, and a few dozen mRNAs appear to undergo cytoplasmic polyadenylation upon light or chemical stimulation. However, the correlation between TE and tail length is modest, explaining <5% of TE variance, and even this modest relationship diminishes when accounting for other mRNA features. Thus, tail length appears to affect TE only minimally. Accordingly, miRNAs, which accelerate deadenylation of their mRNA targets, primarily influence target mRNA levels, with no detectable effect on either steady-state tail lengths or TE. Larger correlates with TE include codon composition and predicted mRNA folding energy. When combined in a model, the identified correlates explain 38%-45% of TE variance. These results provide a framework for considering the relative impact of factors that contribute to translational control in neurons. They indicate that when examined in bulk, translational control in neurons largely resembles that of other types of post-embryonic cells. Thus, detection of more specialized control might require analyses that can distinguish translation occurring in neuronal processes from that occurring in cell bodies.

Indexed as

MicroRNAsGene Expression RegulationNeuronsPoly APolyadenylationProtein BiosynthesisRNA, MessengerMicroRNAsPoly ARNA, MessengermicroRNAsneuronsPAL-seqpoly(A) tailsribosome profilingtranslational efficiency

Identifiers

PMID35273099
PMCPMC9074895
OpenAlexW4221034384

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.