Evidence map›Paper›PMID 25386339›Full record

ArticleBiomaterials science2014

Biomaterial arrays with defined adhesion ligand densities and matrix stiffness identify distinct phenotypes for tumorigenic and nontumorigenic human mesenchymal cell types.

Tyler D Hansen, Justin T Koepsel, Ngoc Nhi Le, Eric H Nguyen, Stefan Zorn, Matthew Parlato, Samuel G Loveland, Michael P Schwartz, William L Murphy

Open access · greenAbstract read
In one paragraph

Article in Biomaterials science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.0field-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

17 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
  6. Engineering Approaches to Study Cellular Decision Making.Annual review of biomedical engineering · 2018
    Review
  7. Article
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  12. Article
  13. Human pluripotent stem cell-derived neural constructs for predicting neural toxicity.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  14. Article
  15. Article
  16. Review
  17. 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

9 authors at 2 institutions in 2 countries.

Tyler D Hansen *Department of Biomedical Engineering, University of Wisconsin-Madison, WI, USA.
Justin T Koepsel *Department of Biomedical Engineering, University of Wisconsin-Madison, WI, USA.
Ngoc Nhi LeMaterials Science Program, University of Wisconsin-Madison, WI, USA.
Eric H NguyenDepartment of Biomedical Engineering, University of Wisconsin-Madison, WI, USA.
Stefan ZornDepartment of Biomedical Engineering, University of Wisconsin-Madison, WI, USA.
Matthew ParlatoDepartment of Biomedical Engineering, University of Wisconsin-Madison, WI, USA.
Samuel G LovelandDepartment of Biomedical Engineering, University of Wisconsin-Madison, WI, USA.
Michael P SchwartzDepartment of Biomedical Engineering, University of Wisconsin-Madison, WI, USA.
William L MurphyDepartment of Biomedical Engineering, University of Wisconsin-Madison, WI, USA.
University of Wisconsin–Madison · USMadison Group (United States) · US

Funding

Retinal tissue chips for ocular disease modelingUH3TR000506 · NCATS · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI THOMSON, JAMES ALEXANDER · 2014 to 2016
$6.2M
Biomaterials for local regulation of growth factor signalingR01HL093282 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI MURPHY, WILLIAM L. · 2009 to 2018
$3.3M
Human iPS/ES Cell-Based Models for Predictive Neural Toxicity and TeratogenicityUH2TR000506 · NCATS · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI THOMSON, JAMES ALEXANDER · 2012 to 2013
$2.4M
Probing biochemical/biophysical influences on endothelial-mesenchymal transitionR21EB016381 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI MURPHY, WILLIAM L., SCHWARTZ, MICHAEL PAUL · 2013 to 2014
$399k
NCATS NIH HHS UH2 TR000506NCATS NIH HHS UH3 TR000506NHLBI NIH HHS R01 HL093282NIBIB NIH HHS R21 EB016381
6 · The paper itself

Abstract

Here, we aimed to investigate migration of a model tumor cell line (HT-1080 fibrosarcoma cells, HT-1080s) using synthetic biomaterials to systematically vary peptide ligand density and substrate stiffness. A range of substrate elastic moduli were investigated by using poly(ethylene glycol) (PEG) hydrogel arrays (0.34 - 17 kPa) and self-assembled monolayer (SAM) arrays (~0.1-1 GPa), while cell adhesion was tuned by varying the presentation of Arg-Gly-Asp (RGD)-containing peptides. HT-1080 motility was insensitive to cell adhesion ligand density on RGD-SAMs, as they migrated with similar speed and directionality for a wide range of RGD densities (0.2-5% mol fraction RGD). Similarly, HT-1080 migration speed was weakly dependent on adhesion on 0.34 kPa PEG surfaces. On 13 kPa surfaces, a sharp initial increase in cell speed was observed at low RGD concentration, with no further changes observed as RGD concentration was increased further. An increase in cell speed ~ two-fold for the 13 kPa relative to the 0.34 kPa PEG surface suggested an important role for substrate stiffness in mediating motility, which was confirmed for HT-1080s migrating on variable modulus PEG hydrogels with constant RGD concentration. Notably, despite ~ two-fold changes in cell speed over a wide range of moduli, HT-1080s adopted rounded morphologies on all surfaces investigated, which contrasted with well spread primary human mesenchymal stem cells (hMSCs). Taken together, our results demonstrate that HT-1080s are morphologically distinct from primary mesenchymal cells (hMSCs) and migrate with minimal dependence on cell adhesion for surfaces within a wide range of moduli, whereas motility is strongly influenced by matrix mechanical properties.

Identifiers

PMID25386339
PMCPMC4224020
OpenAlexW2163094218

What OpenQuestion holds

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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.