Evidence map›Paper›PMID 28615311›Full record

ReviewPhysiology (Bethesda, Md.)2017

Modeling Physiological Events in 2D vs. 3D Cell Culture.

Kayla Duval, Hannah Grover, Li-Hsin Han, Yongchao Mou, Adrian F Pegoraro, Jeffery Fredberg, Zi Chen

Abstract readReview
In one paragraph

Review in Physiology (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 934 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
934citing papers in PubMed, 1 pooled it
–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

934 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 3D Ewing Sarcoma Modeling for Metabolic Studies.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
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  6. Cell homing within endodontic hydrogels: A scoping review.The Japanese dental science review · 2026
    Review
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  19. Article
  20. Neuroprotective Potential ofBiomolecules · 2026
    Article

874 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kayla DuvalThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.
Hannah GroverThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.
Li-Hsin HanDepartment of Mechanical Engineering and Mechanics, Drexel University, Philadelphia, Pennsylvania.
Yongchao MouDepartment of Bioengineering, University of Illinois-Chicago, Rockford, Illinois.
Adrian F PegoraroHarvard School of Engineering and Applied Sciences, Cambridge, Massachusetts; and.
Jeffery FredbergHarvard T.H. Chan School of Public Health, Boston, Massachusetts.
Zi ChenThayer School of Engineering, Dartmouth College, Hanover, New Hampshire; zi.chen@dartmouth.edu.ORCID 0000-0001-5927-0249

Funding

Physics of collective cellular migration in lung health and diseaseP01HL120839 · NHLBI · HARVARD SCHOOL OF PUBLIC HEALTH · PI FREDBERG, JEFFREY J · 2014 to 2018
$12.2M
Epithelial layer jamming in breast cancer cell migrationU01CA202123 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI FREDBERG, JEFFREY J · 2015 to 2019
$3.4M
Mechanics of Monolayer MigrationR01HL107561 · NHLBI · HARVARD SCHOOL OF PUBLIC HEALTH · PI FREDBERG, JEFFREY J · 2011 to 2015
$3.1M
NCI NIH HHS U01 CA202123NHLBI NIH HHS P01 HL120839NHLBI NIH HHS R01 HL107561
6 · The paper itself

Abstract

Cell culture has become an indispensable tool to help uncover fundamental biophysical and biomolecular mechanisms by which cells assemble into tissues and organs, how these tissues function, and how that function becomes disrupted in disease. Cell culture is now widely used in biomedical research, tissue engineering, regenerative medicine, and industrial practices. Although flat, two-dimensional (2D) cell culture has predominated, recent research has shifted toward culture using three-dimensional (3D) structures, and more realistic biochemical and biomechanical microenvironments. Nevertheless, in 3D cell culture, many challenges remain, including the tissue-tissue interface, the mechanical microenvironment, and the spatiotemporal distributions of oxygen, nutrients, and metabolic wastes. Here, we review 2D and 3D cell culture methods, discuss advantages and limitations of these techniques in modeling physiologically and pathologically relevant processes, and suggest directions for future research.

Indexed as

AnimalsBiomedical ResearchCell Culture TechniquesCell DifferentiationCell MovementCell ProliferationExtracellular MatrixHumansTissue Engineering

Identifiers

PMID28615311
PMCPMC5545611

What OpenQuestion holds

Textmetadata
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.