Evidence map›Paper›PMID 36014122›Full record

ReviewMicromachines2022

Engineering Organ-on-a-Chip to Accelerate Translational Research.

Jihoon Ko, Dohyun Park, Somin Lee, Burcu Gumuscu, Noo Li Jeon

Abstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  8. Revealing the impact ofFrontiers in immunology · 2025
    Article
  9. Review
  10. In Vitro Models for Peripheral Nerve Regeneration.Advanced healthcare materials · 2024
    Review
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  15. Three-DimensionalInternational journal of biological sciences · 2024
    Review
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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.

Jihoon KoDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Korea.
Dohyun ParkBio-MAX Institute, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-9356-0255
Somin LeeInterdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Korea.
Burcu GumuscuBiosensors and Devices Laboratory, Biomedical Engineering Department, Institute for Complex Molecular Systems, Eindhoven Artificial Intelligence Systems Institute, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands.ORCID 0000-0003-4843-4724
Noo Li JeonDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Korea.

Funding

National Research Foundation of Korea 2021R1A3B1077481
6 · The paper itself

Abstract

We guide the use of organ-on-chip technology in tissue engineering applications. Organ-on-chip technology is a form of microengineered cell culture platform that elaborates the in-vivo like organ or tissue microenvironments. The organ-on-chip platform consists of microfluidic channels, cell culture chambers, and stimulus sources that emulate the in-vivo microenvironment. These platforms are typically engraved into an oxygen-permeable transparent material. Fabrication of these materials requires the use of microfabrication strategies, including soft lithography, 3D printing, and injection molding. Here we provide an overview of what is an organ-on-chip platform, where it can be used, what it is composed of, how it can be fabricated, and how it can be operated. In connection with this topic, we also introduce an overview of the recent applications, where different organs are modeled on the microscale using this technology.

Indexed as

biochemical stimulibiophysical stimuliin vitro cell culturemicrofabricationmicrophysiological systemorgan-on-a-chip

Identifiers

PMID36014122
PMCPMC9412404

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.