Evidence map›Paper›PMID 34478657›Full record

ReviewCell2021

Organs-on-a-chip models for biological research.

Gordana Vunjak-Novakovic, Kacey Ronaldson-Bouchard, Milica Radisic

Abstract readReview
In one paragraph

Review in Cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing 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

113 citing papers in PubMed.

  1. A practical toolbox for modelling fibrosis in vitro.Nature biomedical engineering · 2026
    Review
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  3. Organoids-on-a-Chip: An Integrating New Technology for Drug Development.International journal of molecular sciences · 2026
    Review
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  19. Challenges and potential applications of AI in systems biology.Nature reviews. Molecular cell biology · 2026
    Article
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53 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

3 authors.

Gordana Vunjak-NovakovicColumbia University, New York, NY, USA. Electronic address: gv2131@columbia.edu.
Kacey Ronaldson-BouchardColumbia University, New York, NY, USA.
Milica RadisicUniversity of Toronto, Toronto, ON, Canada.

Funding

Tissue Engineering Resource Center: TTDP41EB027062 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gordana Vunjak-Novakovic · 2019 to 2026
$12.6M
Engineering Vascularized Cardiac MuscleR01HL076485 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Gordana Vunjak-Novakovic · 2005 to 2026
$9.2M
Multi-tissue platform for modeling systemic pathologiesUH3EB025765 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VUNJAK-NOVAKOVIC, GORDANA · 2019 to 2021
$4.0M
Cancer Patient on a ChipR01CA249799 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gordana Vunjak-Novakovic · 2020 to 2026
$3.1M
CIHR CHRP 493737-16CIHR FDN-167274NCI NIH HHS R01 CA249799NHLBI NIH HHS R01 HL076485NIBIB NIH HHS P41 EB027062NIBIB NIH HHS UH3 EB025765
6 · The paper itself

Abstract

We explore the utility of bioengineered human tissues-individually or connected into physiological units-for biological research. While much smaller and simpler than their native counterparts, these tissues are complex enough to approximate distinct tissue phenotypes: molecular, structural, and functional. Unlike organoids, which form spontaneously and recapitulate development, "organs-on-a-chip" are engineered to display some specific functions of whole organs. Looking back, we discuss the key developments of this emerging technology. Thinking forward, we focus on the challenges faced to fully establish, validate, and utilize the fidelity of these models for biological research.

Indexed as

Lab-On-A-Chip DevicesModels, BiologicalResearchAnimalsCell EngineeringCellular MicroenvironmentHumansTissue Engineering

Identifiers

PMID34478657
PMCPMC8417425

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.