Evidence map›Paper›PMID 22609203›Full record

ArticleBiochemical and biophysical research communications2012

Tandem zyxin LIM sequences do not enhance force sensitive accumulation.

Amanda N Steele, Grant M Sumida, Soichiro Yamada

Open access · greenAbstract read
In one paragraph

Article in Biochemical and biophysical research communications, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 1 institution in 1 country.

Amanda N SteeleDepartment of Biomedical Engineering, University of California, Davis, CA 95616, USA.
Grant M Sumida
Soichiro Yamada
University of California, Davis · US

Funding

Cell adhesion mediated self-recognitionR01GM094798 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI YAMADA, SOICHIRO · 2010 to 2013
$1.1M
NIGMS NIH HHS GM094798NIGMS NIH HHS R01 GM094798
6 · The paper itself

Abstract

The ability to sense mechanical forces is vital to cell physiology. Yet, the molecular basis of mechano-signaling remains unclear. Previous studies have shown that zyxin, a focal adhesion protein, is recruited at force-bearing sites on the actin cytoskeleton and, therefore, identifying zyxin as a mechano-sensing protein candidate. Furthermore, zyxin accumulation at force-bearing sites requires the LIM domain located at the C-terminus of zyxin. The zyxin LIM domain consists of three LIM motifs, each containing two zinc-binding sites. Since individual LIM motifs do not accumulate at focal adhesions or force-bearing sites, we hypothesize that multiple zyxin LIM domains increase force sensitivity. Using a miniature force sensor and GFP-tagged LIM variants, we quantified the relationship between single, tandem dimer and trimer LIM protein localization and traction forces. While the presence of extra LIM domains affected VASP recruitment to focal adhesions, force sensitivity was not enhanced over the single LIM domain. Therefore, zyxin force sensitivity is optimal with a single LIM domain, while additional LIM domains fail to enhance force sensitivity.

Indexed as

Mechanotransduction, CellularAnimalsCell Adhesion MoleculesDogsFocal AdhesionsLIM Domain ProteinsMicrofilament ProteinsPhosphoproteinsProtein Structure, TertiaryVasodilator-Stimulated PhosphoproteinZyxinCell Adhesion MoleculesLIM Domain ProteinsMicrofilament ProteinsPhosphoproteinsVasodilator-Stimulated PhosphoproteinZyxin

Identifiers

PMID22609203
PMCPMC3377793
OpenAlexW1981107725

What OpenQuestion holds

Textmetadata
LicenceTDM
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.