Evidence map›Paper›PMID 23868590›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2013

Proteomic and biochemical methods to study the cytoskeletome.

Richard L Klemke, Xinning Jiang, Sunkyu Choi, Jonathan A Kelber

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Richard L KlemkeDepartment of Pathology and Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA.
Xinning Jiang
Sunkyu Choi
Jonathan A Kelber

Funding

Survival Mechanisms of Invasive Carcinoma CellsR01CA097022 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KLEMKE, RICHARD L. · 2003 to 2017
$4.6M
Imagining Human Cancer Progression in a Novel Zebrafish ModelR01CA129231 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KLEMKE, RICHARD L. · 2008 to 2012
$1.6M
NCI NIH HHS CA097022NCI NIH HHS CA129231NCI NIH HHS R01 CA097022NCI NIH HHS R01 CA129231NIGMS NIH HHS GM06852
6 · The paper itself

Abstract

The cytoskeleton is fundamental to many cellular functions including cell proliferation, differentiation, adhesion, and migration. It is composed of actin, microtubules, intermediate filaments, and integrin cell surface receptors, which form focal adhesions with the extracellular matrix. These elements are highly integrated in the cell providing a rigid network of interconnected cables and protein scaffolds, which generate force and mechanical support to maintain cell shape and movement. However, the cytoskeleton is not just a simple compilation of static filaments that dictate cell adhesion and morphology-it is highly plastic with the inherent ability to assemble and disassemble in response to diverse and complex cellular cues. Thus, biochemical and proteomic methods are needed to better understand the cytoskeleton network and its dynamic signal transduction functions in health and disease. This chapter describes methods for the biochemical enrichment and mass spectrometry-based proteomic analyses of the cytoskeletome. We also detail how these methods can be used to investigate the cytoskeletome of migrating cells and their purified pseudopodia membrane projections.

Indexed as

ProteomicsActinsCell AdhesionCytoskeletonEptifibatideExtracellular MatrixHumansIntermediate FilamentsMass SpectrometryMicrotubulesPeptidesReceptors, Cell SurfaceSignal TransductionActinsEptifibatidePeptidesReceptors, Cell Surface

Identifiers

PMID23868590
PMCPMC5654320

What OpenQuestion holds

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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.