Evidence map›Paper›PMID 32742306›Full record

ArticleJournal of biological engineering2020

Paper-based in vitro tissue chip for delivering programmed mechanical stimuli of local compression and shear flow.

Kattika Kaarj, Marianne Madias, Patarajarin Akarapipad, Soohee Cho, Jeong-Yeol Yoon

Abstract read
In one paragraph

Article in Journal of biological engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

5 authors.

Kattika KaarjDepartment of Biosystems Engineering, The University of Arizona, Tucson, AZ USA.ORCID https://orcid.org/0000-0002-0054-6519
Marianne MadiasDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ USA.
Patarajarin AkarapipadDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ USA.
Soohee ChoDepartment of Biosystems Engineering, The University of Arizona, Tucson, AZ USA.
Jeong-Yeol YoonDepartment of Biosystems Engineering, The University of Arizona, Tucson, AZ USA.ORCID https://orcid.org/0000-0002-9720-6472

Funding

MARC/Biomedical Research and Training Program at the University of ArizonaT34GM008718 · NIGMS · UNIVERSITY OF ARIZONA · PI MIRANDA, KATRINA M. · 1999 to 2021
$8.6M
Cardiovascular Biomedical Engineering Training GrantT32HL007955 · NHLBI · UNIVERSITY OF ARIZONA · PI BARTON, JENNIFER KEHLET · 2001 to 2020
$5.1M
NHLBI NIH HHS T32 HL007955NIGMS NIH HHS T34 GM008718
6 · The paper itself

Abstract

abstractMechanical stimuli play important roles on the growth, development, and behavior of tissue. A simple and novel paper-based in vitro tissue chip was developed that can deliver two types of mechanical stimuli-local compression and shear flow-in a programmed manner. Rat vascular endothelial cells (RVECs) were patterned on collagen-coated nitrocellulose paper to create a tissue chip. Localized compression and shear flow were introduced by simply tapping and bending the paper chip in a programmed manner, utilizing an inexpensive servo motor controlled by an Arduino microcontroller and powered by batteries. All electrical compartments and a paper-based tissue chip were enclosed in a single 3D-printed enclosure, allowing the whole device to be independently placed within an incubator. This simple device effectively simulated in vivo conditions and induced successful RVEC migration in as early as 5 h. The developed device provides an inexpensive and flexible alternative for delivering mechanical stimuli to other in vitro tissue models. GRAPHICAL ABSTRACT:

Indexed as

Automated flow controlCell migrationMicrocontrollerPaper-based cell cultureVascular endothelial cell

Identifiers

PMID32742306
PMCPMC7385864

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.