Evidence map›Paper›PMID 30795574›Full record

ArticleMicromachines2019

The Effect of Microfluidic Geometry on Myoblast Migration.

Rahul Atmaramani, Bryan J Black, Kevin H Lam, Vinit M Sheth, Joseph J Pancrazio, David W Schmidtke, Nesreen Zoghoul Alsmadi

Abstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Rahul AtmaramaniDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA. rxa162330@utdallas.edu.ORCID 0000-0002-9325-547X
Bryan J BlackDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA. bjb140530@utdallas.edu.
Kevin H LamDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA. Kevin.Lam2@utdallas.edu.
Vinit M ShethDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA. vms150130@utdallas.edu.
Joseph J PancrazioDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA. Joseph.Pancrazio@utdallas.edu.
David W SchmidtkeDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA. David.Schmidtke@utdallas.edu.ORCID 0000-0001-6404-318X
Nesreen Zoghoul AlsmadiDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA. Nesreen.Alsmadi@utdallas.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro systems comprised of wells interconnected by microchannels have emerged as a platform for the study of cell migration or multicellular models. In the present study, we systematically evaluated the effect of microchannel width on spontaneous myoblast migration across these microchannels-from the proximal to the distal chamber. Myoblast migration was examined in microfluidic devices with varying microchannel widths of 1.5⁻20 µm, and in chips with uniform microchannel widths over time spans that are relevant for myoblast-to-myofiber differentiation in vitro. We found that the likelihood of spontaneous myoblast migration was microchannel width dependent and that a width of 3 µm was necessary to limit spontaneous migration below 5% of cells in the seeded well after 48 h. These results inform the future design of Polydimethylsiloxane (PDMS) microchannel-based co-culture platforms as well as future in vitro studies of myoblast migration.

Indexed as

microfabricationmicrofluidicsmigrationmyoblastsPDMS

Identifiers

PMID30795574
PMCPMC6412509

What OpenQuestion holds

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Registered trials

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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.