Evidence map›Paper›PMID 30040104›Full record

ReviewLab on a chip2018

Engineering cell heterogeneity into organs-on-a-chip.

David R Mertz, Tasdiq Ahmed, Shuichi Takayama

Abstract readReview
In one paragraph

Review in Lab on a chip, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Organ-On-A-Chip: A Survey of Technical Results and Problems.Frontiers in bioengineering and biotechnology · 2022
    Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. 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

3 authors.

David R MertzWallace H. Coulter Department of Biomedical Engineering, Georgia Tech College of Engineering and Emory School of Medicine, USA. takayama@gatech.edu.
Tasdiq Ahmed
Shuichi Takayama

Funding

Stem Cell Differentiation CoreU19AI116482 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TAKAYAMA, SHUICHI · 2015 to 2019
$6.4M
Microfluidic Tissue Engineering of Small Airway InjuriesR01HL136141 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI GROTBERG, JAMES BERNARD, NEMZEK, JEAN A · 2017 to 2020
$2.9M
Systems Bioengineering of Cancer Cell MigrationR01CA196018 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDERMAN, JENNIFER JEAN, LUKER, GARY D · 2015 to 2019
$2.2M
NCI NIH HHS R01 CA196018NHLBI NIH HHS R01 HL136141NIAID NIH HHS U19 AI116482
6 · The paper itself

Abstract

Organ-on-a-chip development is an application that will benefit from advances in cell heterogeneity characterization because these culture models are intended to mimic in vivo microenvironments, which are complex and dynamic. Due in no small part to advances in microfluidic single cell analysis methods, cell-to-cell variability is an increasingly understood feature of physiological tissues, with cell types from as common as 1 out of every 2 cells to as rare as 1 out of every 100 000 cells having important roles in the biochemical and biological makeup of tissues and organs. Variability between neighboring cells can be transient or maintained, and ordered or stochastic. This review covers three areas of well-studied cell heterogeneity that are informative for organ-on-a-chip development efforts: tumors, the lung, and the intestine. Then we look at how recent single cell analysis strategies have enabled better understanding of heterogeneity within in vitro and in vivo tissues. Finally, we provide a few work-arounds for adapting current on-chip culture methods to better mimic physiological cell heterogeneity including accounting for crucial rare cell types and events.

Indexed as

Lab-On-A-Chip DevicesAnimalsCell EngineeringHumansNeoplasms

Identifiers

PMID30040104
PMCPMC6081245

What OpenQuestion holds

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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.