Evidence map›Paper›PMID 34308485›Full record

ArticleEuropean biophysics journal : EBJ2021

'Chain and running' induced by mechanical interactions among cells of different phenotypes in the Bacillus subtilis biofilm.

Shuaishuai Hu, Xiaoling Wang, Yifan Tan, Jiali Liu, Hui Zhao

Abstract read
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In one paragraph

Article in European biophysics journal : EBJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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 at 3 institutions in 2 countries.

Shuaishuai HuSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China.ORCID http://orcid.org/0000-0003-2099-2943
Xiaoling WangSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China. xiaoling@me.ustb.edu.cn.ORCID http://orcid.org/0000-0003-1659-466X
Yifan TanState Key Laboratory of Computer Science, Institute of Software, University of Chinese Academy of Sciences, Beijing, 100190, China.
Jiali LiuState Key Laboratory of Computer Science, Institute of Software, University of Chinese Academy of Sciences, Beijing, 100190, China.
Hui ZhaoState Key Laboratory of Computer Science, Institute of Software, University of Chinese Academy of Sciences, Beijing, 100190, China.
Institute of Software · CNHarvard University Press · USUniversity of Science and Technology Beijing · CN

Funding

Key International collaborating project from National Natural Science Foundation of China 11620101001National Natural Science Foundation of China 11772047National Natural Science Foundation of China 11972074
6 · The paper itself

Abstract

In either a living system or a non-living system, the interaction among its constituent cells or particles is a fundamental aspect at all scales. For example, during the Bacillus subtilis biofilm formation, cells differentiate into multiple phenotypes to adapt to the environments; few hours after the initial inoculation, we find the phenotype of matrix-producing cells form "chain" structure surrounding the phenotype of the "running" motile cells. We use "chain" to characterize the structure of matrix-producing cells, and "running" to characterize the proliferation and growth of motile cells. Due to a large number of cells in the biofilm, it is impossible to construct a traditional kinetic model to describe the causal link between the single-cell movement and the colony behavior. Here, we obtain cell state information and cell group shape information through experiments; after the image analysis, we get the key interaction rules between cells, and then, we simulate the comparable movement of two cell types and the resulting colony geometry using the multi-agent model. Our work makes a better understanding of the relationship between the macroscopic shape of colonies and microscopic mechanical interactions among cells in the early stage of biofilm growth.

Indexed as

Bacillus subtilisRunningBiofilmsPhenotypeBacillus subtilis biofilmChain and runningColony geometryMechanical interactionsPhenotypes

Identifiers

PMID34308485
OpenAlexW3186603283

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.