Evidence map›Paper›PMID 29202009›Full record

ArticleACS biomaterials science & engineering2017

Structural Modeling of Mechanosensitivity in Non-Muscle Cells: Multiscale Approach to Understand Cell Sensing.

Umut Akalp, Carsten Schnatwinkel, Mark P Stoykovich, Stephanie J Bryant, Franck J Vernerey

Abstract read
In one paragraph

Article in ACS biomaterials science & engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Integrated Multiscale Biomaterials Experiment and Modeling.ACS biomaterials science & engineering · 2017
    Article
  4. 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

5 authors.

Umut AkalpDepartment of Mechanical Engineering, University of Colorado, Boulder, Colorado 80309, United States.
Carsten SchnatwinkelDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, Colorado 80309, United States.
Mark P StoykovichDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, Colorado 80309, United States.
Stephanie J BryantDepartment of Chemical and Biological Engineering, University of Colorado, Boulder, Colorado 80309, United States.
Franck J VernereyDepartment of Mechanical Engineering, University of Colorado, Boulder, Colorado 80309, United States.

Funding

Personalizing Matrix Assisted Autologous Chondrocyte ImplantationR01AR065441 · NIAMS · UNIVERSITY OF COLORADO · PI BRYANT, STEPHANIE J · 2013 to 2017
$1.5M
NIAMS NIH HHS R01 AR065441
6 · The paper itself

Abstract

The contraction and spreading of nonmuscle cells are important phenomena in a number of cellular processes such as differentiation, morphogenesis, and tissue growth. Recent experimental work has shown that the topology and the mechanical properties of the underlying substrate play a significant role in directing the cell's response. In this work, we introduce a multiscale model to understand the sensing, activation, and contraction of the actin cytoskeleton of nonmuscle cells based on the idea that acto-myosin cross-bridges display a catch-bond response. After investigating the respective roles of bond catchiness and acto-myosin assembly on the mechano-sensitivity of stress fibers, we present full simulations of cells laying on arrays of micropillars. Model predictions show good qualitative agreements with experimental observation, suggesting that acto-myosin catch bonds are a major mechano-sensing element in nonmuscle cells.

Indexed as

acto-myosin assemblycatch bondcell contractionfinite elementshierarchical modelingmechanosensitivity

Identifiers

PMID29202009
PMCPMC5704780

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.