Evidence map›Paper›PMID 26440672›Full record

ArticlePloS one2015

μOrgano: A Lego®-Like Plug & Play System for Modular Multi-Organ-Chips.

Peter Loskill, Sivan G Marcus, Anurag Mathur, Willie Mae Reese, Kevin E Healy

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
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  11. Article
  12. Article
  13. Article
  14. Modular microfluidics for life sciences.Journal of nanobiotechnology · 2023
    Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Emerging technologies and their impact on regulatory science.Experimental biology and medicine (Maywood, N.J.) · 2022
    Review
  20. Article

1 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

5 authors.

Peter LoskillDepartment of Bioengineering, University of California at Berkeley, Berkeley, California, United States of America; Department of Materials Science and Engineering, University of California at Berkeley, Berkeley, California, United States of America; California Institute for Quantitative Biosciences (QB3), University of California at Berkeley, Berkeley, California, United States of America.
Sivan G MarcusDepartment of Bioengineering, University of California at Berkeley, Berkeley, California, United States of America.
Anurag MathurDepartment of Bioengineering, University of California at Berkeley, Berkeley, California, United States of America; Department of Materials Science and Engineering, University of California at Berkeley, Berkeley, California, United States of America; California Institute for Quantitative Biosciences (QB3), University of California at Berkeley, Berkeley, California, United States of America.
Willie Mae ReeseDepartment of Materials Science and Engineering, University of California at Berkeley, Berkeley, California, United States of America.
Kevin E HealyDepartment of Bioengineering, University of California at Berkeley, Berkeley, California, United States of America; Department of Materials Science and Engineering, University of California at Berkeley, Berkeley, California, United States of America; California Institute for Quantitative Biosciences (QB3), University of California at Berkeley, Berkeley, California, United States of America.

Funding

Modeling metabolic interactions of liver and fat with integrated microphysiological systemsUH3TR000487 · NCATS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HEALY, KEVIN EDWARD · 2014 to 2016
$2.9M
Disease-Specific Integrated Microphysiological Human Tissue ModelsUH2TR000487 · NCATS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HEALY, KEVIN EDWARD, LEE, LUKE P. · 2012 to 2013
$1.8M
NCATS NIH HHS UH2 TR000487NCATS NIH HHS UH3 TR000487
6 · The paper itself

Abstract

Human organ-on-a-chip systems for drug screening have evolved as feasible alternatives to animal models, which are unreliable, expensive, and at times erroneous. While chips featuring single organs can be of great use for both pharmaceutical testing and basic organ-level studies, the huge potential of the organ-on-a-chip technology is revealed by connecting multiple organs on one chip to create a single integrated system for sophisticated fundamental biological studies and devising therapies for disease. Furthermore, since most organ-on-a-chip systems require special protocols with organ-specific media for the differentiation and maturation of the tissues, multi-organ systems will need to be temporally customizable and flexible in terms of the time point of connection of the individual organ units. We present a customizable Lego®-like plug & play system, μOrgano, which enables initial individual culture of single organ-on-a-chip systems and subsequent connection to create integrated multi-organ microphysiological systems. As a proof of concept, the μOrgano system was used to connect multiple heart chips in series with excellent cell viability and spontaneously physiological beat rates.

Indexed as

Drug Evaluation, PreclinicalAnimalsHeartHeart RateHumansOrgan Culture Techniques

Identifiers

PMID26440672
PMCPMC4595286

What OpenQuestion holds

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LicenceCC BY
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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.