Evidence map›Paper›PMID 27156572›Full record

ReviewIntegrative biology : quantitative biosciences from nano to macro2016

Three-dimensional models for studying development and disease: moving on from organisms to organs-on-a-chip and organoids.

E L Jackson, H Lu

Abstract readReview
In one paragraph

Review in Integrative biology : quantitative biosciences from nano to macro, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Review
  2. Review
  3. Stem cells in organogenesis and regeneration.Stem cell research & therapy · 2026
    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

2 authors.

E L JacksonSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. hang.lu@gatech.edu.
H Lu

Funding

Quantitative microscopy-based rapid phenotyping and screeningR01GM088333 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2011 to 2018
$2.3M
Quantitative Understanding of Mechnosensory Circuit on ChipR01NS096581 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2016 to 2020
$1.7M
Automated droplet-based platform for combinatorial screens on whole animalsR21EB021676 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2015 to 2016
$429k
Microfluidic assays for hyper-reactive platelets in diabetesR21EB020424 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2016 to 2017
$405k
Evolving multigenic extensions to lifespanR21AG050304 · NIA · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG, MCGRATH, PATRICK T · 2015 to 2016
$391k
NIA NIH HHS R21 AG050304NIBIB NIH HHS R21 EB020424NIBIB NIH HHS R21 EB021676NIGMS NIH HHS R01 GM088333NINDS NIH HHS R01 NS096581
6 · The paper itself

Abstract

Human development and disease are challenging to study because of lack of experimental accessibility to in vivo systems and the complex nature of biological processes. For these reasons researchers turn to the use of model systems, ranging in complexity and scale from single cells to model organisms. While the use of model organisms is valuable for studying physiology and pathophysiology in an in vivo context and for aiding pre-clinical development of therapeutics, animal models are costly, difficult to interrogate, and not always equivalent to human biology. For these reasons, three-dimensional (3D) cell cultures have emerged as an attractive model system that contains key aspects of in vivo tissue and organ complexity while being more experimentally tractable than model organisms. In particular, organ-on-a-chip and organoid models represent orthogonal approaches that have been able to recapitulate characteristics of physiology and disease. Here, we review advances in these two categories of 3D cultures and applications in studying development and disease. Additionally, we discuss development of key technologies that facilitate the generation of 3D cultures, including microfluidics, biomaterials, genome editing, and imaging technologies.

Indexed as

Bioartificial OrgansLab-On-A-Chip DevicesAnimalsBatch Cell Culture TechniquesHumansOrgan Culture TechniquesOrganoidsPrinting, Three-DimensionalTechnology Assessment, Biomedical

Identifiers

PMID27156572
PMCPMC4905804

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.