Evidence map›Paper›PMID 26350361›Full record

ArticleNature communications2015

A synthetic hydrogel for the high-throughput study of cell-ECM interactions.

Andrew D Rape, Mikhail Zibinsky, Niren Murthy, Sanjay Kumar

Abstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
–field-weighted citation impact
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

62 citing papers in PubMed.

  1. Article
  2. Microengineered Gradient Hydrogels for Mechanobiology.Advanced healthcare materials · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. The extracellular matrix mechanics in the vasculature.Nature cardiovascular research · 2023
    Review
  7. Modeling development using hydrogels.Development (Cambridge, England) · 2023
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Visible-Light Stiffness Patterning of GelMA Hydrogels TowardsFrontiers in cell and developmental biology · 2022
    Article
  13. Therapeutic application of hydrogels for bone-related diseases.Frontiers in bioengineering and biotechnology · 2022
    Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review

2 more citing papers are in PubMed but not listed here.

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.

Andrew D RapeDepartment of Bioengineering, University of California, Berkeley, California 94720, USA.
Mikhail ZibinskyDepartment of Bioengineering, University of California, Berkeley, California 94720, USA.
Niren MurthyDepartment of Bioengineering, University of California, Berkeley, California 94720, USA.
Sanjay KumarDepartment of Bioengineering, University of California, Berkeley, California 94720, USA.

Funding

Molecular analysis of physical microenvironmental control of tumor cell invasionR21CA174573 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI KUMAR, SANJAY · 2014 to 2016
$655k
Genetic strategies for the quantitative control of cell-matrix mechanobiologyR21EB016359 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI KUMAR, SANJAY · 2013 to 2014
$425k
A novel photopatterning-based paradigm for the study of 3D tumor infiltrationF32CA174361 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI RAPE, ANDREW · 2013 to 2015
$120k
NCI NIH HHS 1F32CA174361-01NCI NIH HHS F32 CA174361NCI NIH HHS R21 CA174573NCI NIH HHS R21CA174573NIBIB NIH HHS R21 EB016359NIBIB NIH HHS R21EB016359
6 · The paper itself

Abstract

It remains extremely challenging to dissect the cooperative influence of multiple extracellular matrix (ECM) parameters on cell behaviour. This stems in part from a lack of easily deployable strategies for the combinatorial variation of matrix biochemical and biophysical properties. Here we describe a simple, high-throughput platform based on light-modulated hyaluronic acid hydrogels that enables imposition of mutually independent and spatially continuous gradients of ligand density and substrate stiffness. We validate this system by showing that it can support mechanosensitive differentiation of mesenchymal stem cells. We also use it to show that the oncogenic microRNA, miR18a, is nonlinearly regulated by matrix stiffness and fibronectin density in glioma cells. The parallelization of experiments enabled by this platform allows condensation of studies that would normally require hundreds of independent hydrogels to a single substrate. This system is a highly accessible, high-throughput technique to study the combinatorial variation of biophysical and biochemical signals in a single experimental paradigm.

Indexed as

Adipose TissueCell DifferentiationCell Line, TumorExtracellular MatrixFibronectinsGliomaHigh-Throughput Screening AssaysHumansHyaluronic AcidHydrogelsMesenchymal Stem CellsMethacrylatesMicroRNAsMicroscopy, Phase-ContrastReverse Transcriptase Polymerase Chain ReactionFibronectinsHyaluronic AcidHydrogelsMethacrylatesMicroRNAsMIRN18A microRNA, human

Identifiers

PMID26350361
PMCPMC4566157

What OpenQuestion holds

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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.