Journal article
Modeling Physiological Events in 2D vs. 3D Cell Culture
Physiology (Bethesda, Md.), v 32(4), pp 266-277
Jul 2017
PMID: 28615311
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
Metrics
Details
- Title
- Modeling Physiological Events in 2D vs. 3D Cell Culture
- Creators
- Kayla Duval - Dartmouth CollegeHannah Grover - Dartmouth CollegeLi-Hsin Han - Drexel UniversityYongchao Mou - Department of Bioengineering, University of Illinois-Chicago, Rockford, Illinois;Adrian F Pegoraro - Harvard UniversityJeffery Fredberg - Harvard UniversityZi Chen - Dartmouth College
- Publication Details
- Physiology (Bethesda, Md.), v 32(4), pp 266-277
- Publisher
- American Physiological Society (APS)
- Grant note
- U01 CA202123 / NCI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000403602600003
- Scopus ID
- 2-s2.0-85020882534
- Other Identifier
- 991019169701304721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
Highly Cited Paper
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Physiology