Evidence map›Paper›PMID 24895856›Full record

ReviewAnnual review of biophysics2014

Fidelity of cotranslational protein targeting by the signal recognition particle.

Xin Zhang, Shu-ou Shan

Open access · bronzeAbstract readReview
In one paragraph

Review in Annual review of biophysics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

57 citing papers in PubMed, 87 citations in OpenAlex.

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  12. The Endoplasmic Reticulum and the Fidelity of Nascent Protein Localization.Cold Spring Harbor perspectives in biology · 2023
    Review
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  18. Spatiotemporal kinetics of the SRP pathway in liveProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. 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

2 authors at 2 institutions in 1 country.

Xin ZhangDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125; email: sshan@caltech.edu.
Shu-ou Shan
California Institute of Technology · USScripps Research Institute · US

Funding

Molecular Mechanism of Protein Targeting by the Signal Recognition ParticleR01GM078024 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI SHAN, SHU-OU · 2007 to 2020
$4.4M
NIGMS NIH HHS R01 GM078024
6 · The paper itself

Abstract

Accurate folding, assembly, localization, and maturation of newly synthesized proteins are essential to all cells and require high fidelity in the protein biogenesis machineries that mediate these processes. Here, we review our current understanding of how high fidelity is achieved in one of these processes, the cotranslational targeting of nascent membrane and secretory proteins by the signal recognition particle (SRP). Recent biochemical, biophysical, and structural studies have elucidated how the correct substrates drive a series of elaborate conformational rearrangements in the SRP and SRP receptor GTPases; these rearrangements provide effective fidelity checkpoints to reject incorrect substrates and enhance the fidelity of this essential cellular pathway. The mechanisms used by SRP to ensure fidelity share important conceptual analogies with those used by cellular machineries involved in DNA replication, transcription, and translation, and these mechanisms likely represent general principles for other complex cellular pathways.

Indexed as

Protein BiosynthesisAnimalsHumansRibosomesSignal Recognition ParticleSignal Recognition ParticleGTPasesprotein biogenesisprotein translocationribosomeRNAsignal sequence

Identifiers

PMID24895856
PMCPMC4444370
OpenAlexW2136899447

What OpenQuestion holds

Textmetadata
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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.