Evidence map›Paper›PMID 24569529›Full record

ArticleNature communications2014

SILAC-based proteomic quantification of chemoattractant-induced cytoskeleton dynamics on a second to minute timescale.

Grzegorz J Sobczyk, Jun Wang, Cornelis J Weijer

Abstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. The Proteome ofProteomes · 2026
    Article
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  3. Proteomic Analysis of Dictyostelium discoideum by Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Gradients of PI(4,5)PFrontiers in cell and developmental biology · 2022
    Article
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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.

Grzegorz J SobczykDivision of Cell and Developmental Biology, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK.
Jun Wang1] Division of Cell and Developmental Biology, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK [2].
Cornelis J WeijerDivision of Cell and Developmental Biology, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/C006895/1Wellcome Trust 070365Wellcome Trust 083926/Z/07/ZWellcome Trust 094131/Z/10/Z
6 · The paper itself

Abstract

Cytoskeletal dynamics during cell behaviours ranging from endocytosis and exocytosis to cell division and movement is controlled by a complex network of signalling pathways, the full details of which are as yet unresolved. Here we show that SILAC-based proteomic methods can be used to characterize the rapid chemoattractant-induced dynamic changes in the actin-myosin cytoskeleton and regulatory elements on a proteome-wide scale with a second to minute timescale resolution. This approach provides novel insights in the ensemble kinetics of key cytoskeletal constituents and association of known and novel identified binding proteins. We validate the proteomic data by detailed microscopy-based analysis of in vivo translocation dynamics for key signalling factors. This rapid large-scale proteomic approach may be applied to other situations where highly dynamic changes in complex cellular compartments are expected to play a key role.

Indexed as

Amino AcidsChemotactic FactorsCyclic AMPCytoskeletal ProteinsCytoskeletonDictyosteliumGene Knockout TechniquesGreen Fluorescent ProteinsIsotope LabelingKineticsMass SpectrometryMicroscopy, ConfocalMicroscopy, FluorescenceMutationProtein TransportProteomeAmino AcidsChemotactic FactorsCyclic AMPCytoskeletal ProteinsGreen Fluorescent ProteinsProteomeProtozoan Proteins

Identifiers

PMID24569529
PMCPMC3971484

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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.