Evidence map›Paper›PMID 19469550›Full record

ArticleBiochemistry2009

Signal recognition particle (SRP) and SRP receptor: a new paradigm for multistate regulatory GTPases.

Shu-ou Shan, Sandra L Schmid, Xin Zhang

Abstract read
In one paragraph

Article in Biochemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  8. Precise timing of ATPase activation drives targeting of tail-anchored proteins.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  9. Article
  10. Review
  11. Article
  12. Review
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  14. 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.

Shu-ou ShanDivision of Chemistry and Chemical Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, USA. sshan@caltech.edu
Sandra L Schmid
Xin Zhang

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

The GTP-binding proteins or GTPases comprise a superfamily of proteins that provide molecular switches in numerous cellular processes. The "GTPase switch" paradigm, in which a GTPase acts as a bimodal switch that is turned "on" and "off" by external regulatory factors, has been used to interpret the regulatory mechanism of many GTPases for more than two decades. Nevertheless, recent work has unveiled an emerging class of "multistate" regulatory GTPases that do not adhere to this classical paradigm. Instead of relying on external nucleotide exchange factors or GTPase activating proteins to switch between the on and off states, these GTPases have the intrinsic ability to exchange nucleotides and to sense and respond to upstream and downstream factors. In contrast to the bimodal nature of the GTPase switch, these GTPases undergo multiple conformational rearrangements, allowing multiple regulatory points to be built into a complex biological process to ensure the efficiency and fidelity of the pathway. We suggest that these multistate regulatory GTPases are uniquely suited to provide spatial and temporal control of complex cellular pathways that require multiple molecular events to occur in a highly coordinated fashion.

Indexed as

GTP PhosphohydrolasesModels, MolecularProtein ConformationReceptors, Cytoplasmic and NuclearReceptors, PeptideSignal Recognition ParticleGTP PhosphohydrolasesReceptors, Cytoplasmic and NuclearReceptors, Peptidesignal peptide receptorSignal Recognition Particle

Identifiers

PMID19469550
PMCPMC2883566

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.