Evidence map›Paper›PMID 32891186›Full record

ArticleBiophysical journal2020

Evaluation of Cell's Passability in the ECM Network.

Yongrou Zhang, Zetao Huang, Shoubin Dong, Zejia Liu, Yiping Liu, Liqun Tang, Taobo Cheng, Xuefeng Zhou

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Yongrou ZhangGuangdong Key Laboratory of Modern Control Technology, Guangdong Institute of Intelligent Manufacturing, Guangzhou, Guangdong, China; School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China.
Zetao HuangSchool of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China.
Shoubin DongSchool of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China.
Zejia LiuSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China. Electronic address: zjliu@scut.edu.cn.
Yiping LiuSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China.
Liqun TangSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China; State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, Guangdong, China.
Taobo ChengGuangdong Key Laboratory of Modern Control Technology, Guangdong Institute of Intelligent Manufacturing, Guangzhou, Guangdong, China.
Xuefeng ZhouGuangdong Key Laboratory of Modern Control Technology, Guangdong Institute of Intelligent Manufacturing, Guangzhou, Guangdong, China. Electronic address: xf.zhou@giim.ac.cn.
South China University of Technology · CNGuangdong Institute of Intelligent Manufacturing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microstructure of the extracellular matrix (ECM) plays a key role in affecting cell migration, especially nonproteolytic migration. It is difficult, however, to measure some properties of the ECM, such as stiffness and the passability for cell migration. On the basis of a network model of collagen fiber in the ECM, which has been well applied to simulate mechanical behaviors such as the stress-strain relationship, damage, and failure, we proposed a series of methods to study the microstructural properties containing pore size and pore stiffness and to search for the possible migration paths for cells. Finally, with a given criterion, we quantitatively evaluated the passability of the ECM network for cell migration. The fiber network model with a microstructure and the analysis method presented in this study further our understanding of and ability to evaluate the properties of an ECM network.

Indexed as

Extracellular MatrixCell Movement

Identifiers

PMID32891186
PMCPMC7499061
OpenAlexW3048506608

What OpenQuestion holds

Textmetadata
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.