Evidence map›Paper›PMID 28404867›Full record

ArticleJournal of the Royal Society, Interface2017

Dynamic cellular finite-element method for modelling large-scale cell migration and proliferation under the control of mechanical and biochemical cues: a study of re-epithelialization.

Jieling Zhao, Youfang Cao, Luisa A DiPietro, Jie Liang

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 32 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Jieling ZhaoDepartment of Bioengineering, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA.ORCID 0000-0002-9801-2434
Youfang CaoTheoretical Biology and Biophysics (T-6), Center for Nonlinear Studies (CNLS), Los Alamos National Laboratory, Los Alamos, NM, USA.ORCID 0000-0002-5880-0006
Luisa A DiPietroCenter for Wound Healing and Tissue Regeneration, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA.
Jie LiangDepartment of Bioengineering, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA jliang@uic.edu.ORCID 0000-0002-2773-6427
University of Illinois Chicago · USLos Alamos National Laboratory · US

Funding

ANGIOGENESIS IN WOUND REPAIRR01GM050875 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DIPIETRO, LUISA A · 1999 to 2020
$6.6M
Computational assembly of beta-barrel membrane proteinsR01GM079804 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE · 2007 to 2016
$2.8M
NIGMS NIH HHS R01 GM050875NIGMS NIH HHS R01 GM079804
6 · The paper itself

Abstract

Computational modelling of cells can reveal insight into the mechanisms of the important processes of tissue development. However, current cell models have limitations and are challenged to model detailed changes in cellular shapes and physical mechanics when thousands of migrating and interacting cells need to be modelled. Here we describe a novel dynamic cellular finite-element model (DyCelFEM), which accounts for changes in cellular shapes and mechanics. It also models the full range of cell motion, from movements of individual cells to collective cell migrations. The transmission of mechanical forces regulated by intercellular adhesions and their ruptures are also accounted for. Intra-cellular protein signalling networks controlling cell behaviours are embedded in individual cells. We employ DyCelFEM to examine specific effects of biochemical and mechanical cues in regulating cell migration and proliferation, and in controlling tissue patterning using a simplified re-epithelialization model of wound tissue. Our results suggest that biochemical cues are better at guiding cell migration with improved directionality and persistence, while mechanical cues are better at coordinating collective cell migration. Overall, DyCelFEM can be used to study developmental processes when a large population of migrating cells under mechanical and biochemical controls experience complex changes in cell shapes and mechanics.

Indexed as

Cell MovementCell ProliferationComputer SimulationModels, BiologicalCell AdhesionSignal TransductionWound Healingcell migration and proliferationcellular mechanicscollective cell migrationdynamic cellular finite-element modelre-epithelializationtissue modelling

Identifiers

PMID28404867
PMCPMC5414907
OpenAlexW2606980960

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.