Evidence map›Paper›PMID 31417850›Full record

ArticleMethodsX2019

A novel method for quantifying traction forces on hexagonal micropatterned protein features on deformable poly-dimethyl siloxane sheets.

Brian P Griffin, Christopher J Largaespada, Nicole A Rinaldi, Christopher A Lemmon

Abstract read
In one paragraph

Article in MethodsX, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Measuring mechanical stress in living tissues.Nature reviews. Physics · 2020
    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

4 authors.

Brian P GriffinDepartment of Biomedical Engineering, Virginia Commonwealth University, United States.
Christopher J LargaespadaDepartment of Biomedical Engineering, Virginia Commonwealth University, United States.
Nicole A RinaldiDepartment of Biomedical Engineering, University of Rochester, United States.
Christopher A LemmonDepartment of Biomedical Engineering, Virginia Commonwealth University, United States.

Funding

Virginia Commonwealth University Initiative for Maximizing Student DevelopmentR25GM090084 · NIGMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI AKBARALI, HAMID I, LLOYD, JOYCE A. · 2010 to 2022
$5.2M
Mechanochemical Signaling Dynamics in Epithelial-Mesenchymal TransitionR01GM122855 · NIGMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI LEMMON, CHRISTOPHER ANDREW, WEINBERG, SETH HOWARD · 2018 to 2021
$1.2M
NIGMS NIH HHS R01 GM122855NIGMS NIH HHS R25 GM090084
6 · The paper itself

Abstract

Many methods exist for quantifying cellular traction forces, including traction force microscopy and microfabricated post arrays. However, these methodologies have limitations, including a requirement to remove cells to determine undeflected particle locations and the inability to quantify forces of cells with low cytoskeletal stiffness, respectively. Here we present a novel method of traction force quantification that eliminates both of these limitations. Through the use of a hexagonal pattern of microcontact-printed protein spots, a novel computational algorithm, and thin surfaces of polydimethyl siloxane (PDMS) blends, we demonstrate a system that: •quantifies cellular forces on a homogeneous surface that is stable and easily manufactured.•utilizes hexagonal patterns of protein spots and computational geometry to quantify cellular forces without need for cell removal.•quantifies cellular forces in cells with low cytoskeletal rigidity.

Indexed as

Cell traction forcesFinite element analysisHexForce traction force measurementMicrocontact printingPolydimethylsiloxane

Identifiers

PMID31417850
PMCPMC6690417

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.