Evidence map›Paper›PMID 25386649›Full record

ArticlePloS one2014

A three-dimensional computational model of collagen network mechanics.

Byoungkoo Lee, Xin Zhou, Kristin Riching, Kevin W Eliceiri, Patricia J Keely, Scott A Guelcher, Alissa M Weaver, Yi Jiang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 81 citations in OpenAlex.

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  17. Mathematical model of chronic pancreatitis.Proceedings of the National Academy of Sciences of the United States of America · 2017
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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

8 authors at 5 institutions in 2 countries.

Byoungkoo LeeDepartment of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America.
Xin ZhouSchool of Physics, Graduate University of Chinese Academy of Science, Beijing, China.
Kristin RichingLaboratory for Optical and Computational Instrumentation, Laboratory for Cell and Molecular Biology and Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Kevin W EliceiriLaboratory for Optical and Computational Instrumentation, Laboratory for Cell and Molecular Biology and Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Patricia J KeelyLaboratory for Optical and Computational Instrumentation, Laboratory for Cell and Molecular Biology and Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States of America; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Scott A GuelcherDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.
Alissa M WeaverDepartment of Cancer Biology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Yi JiangDepartment of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America.
University of Wisconsin–Madison · USGeorgia State University · USUniversity of Chinese Academy of Sciences · CNVanderbilt University · USVanderbilt University Medical Center · US

Funding

Multiscale Modeling of ECM-tumor interactions in Breast CancerU01CA143069 · NCI · VANDERBILT UNIVERSITY · PI JIANG, YI, KEELY, PATRICIA J · 2011 to 2015
$2.3M
NCI NIH HHS 5U01CA143069NCI NIH HHS U01 CA143069
6 · The paper itself

Abstract

Extracellular matrix (ECM) strongly influences cellular behaviors, including cell proliferation, adhesion, and particularly migration. In cancer, the rigidity of the stromal collagen environment is thought to control tumor aggressiveness, and collagen alignment has been linked to tumor cell invasion. While the mechanical properties of collagen at both the single fiber scale and the bulk gel scale are quite well studied, how the fiber network responds to local stress or deformation, both structurally and mechanically, is poorly understood. This intermediate scale knowledge is important to understanding cell-ECM interactions and is the focus of this study. We have developed a three-dimensional elastic collagen fiber network model (bead-and-spring model) and studied fiber network behaviors for various biophysical conditions: collagen density, crosslinker strength, crosslinker density, and fiber orientation (random vs. prealigned). We found the best-fit crosslinker parameter values using shear simulation tests in a small strain region. Using this calibrated collagen model, we simulated both shear and tensile tests in a large linear strain region for different network geometry conditions. The results suggest that network geometry is a key determinant of the mechanical properties of the fiber network. We further demonstrated how the fiber network structure and mechanics evolves with a local formation, mimicking the effect of pulling by a pseudopod during cell migration. Our computational fiber network model is a step toward a full biomechanical model of cellular behaviors in various ECM conditions.

Indexed as

Models, BiologicalCollagenComputer SimulationElasticityExtracellular MatrixHumansStress, MechanicalTensile StrengthCollagen

Identifiers

PMID25386649
PMCPMC4227658
OpenAlexW1964406944

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.