Modeling Barrier Tissues In Vitro: Methods, Achievements, and Challenges
Overview
Affiliations
Organ-on-a-chip devices have gained attention in the field of in vitro modeling due to their superior ability in recapitulating tissue environments compared to traditional multiwell methods. These constructed growth environments support tissue differentiation and mimic tissue-tissue, tissue-liquid, and tissue-air interfaces in a variety of conditions. By closely simulating the in vivo biochemical and biomechanical environment, it is possible to study human physiology in an organ-specific context and create more accurate models of healthy and diseased tissues, allowing for observations in disease progression and treatment. These chip devices have the ability to help direct, and perhaps in the distant future even replace animal-based drug efficacy and toxicity studies, which have questionable relevance to human physiology. Here, we review recent developments in the in vitro modeling of barrier tissue interfaces with a focus on the use of novel and complex microfluidic device platforms.
A human skin-on-a-chip platform for microneedling-driven skin cancer treatment.
Barros N, Kang R, Kim J, Ermis M, Kim H, Dokmeci M Mater Today Bio. 2025; 30():101399.
PMID: 39802827 PMC: 11721494. DOI: 10.1016/j.mtbio.2024.101399.
An Insight on Microfluidic Organ-on-a-Chip Models for PM-Induced Pulmonary Complications.
Shah D, Dave B, Chorawala M, Prajapati B, Singh S, Elossaily G ACS Omega. 2024; 9(12):13534-13555.
PMID: 38559954 PMC: 10976395. DOI: 10.1021/acsomega.3c10271.
Transforming Static Barrier Tissue Models into Dynamic Microphysiological Systems.
Mansouri M, Hughes A, Audi L, Carter A, Vidas J, McGrath J J Vis Exp. 2024; (204).
PMID: 38436378 PMC: 11096840. DOI: 10.3791/66090.
Ultra-thin and ultra-porous nanofiber networks as a basement-membrane mimic.
Graybill P, Jacobs 4th E, Jana A, Agashe A, Nain A, Davalos R Lab Chip. 2023; 23(20):4565-4578.
PMID: 37772328 PMC: 10623910. DOI: 10.1039/d3lc00304c.
Building Blood Vessel Chips with Enhanced Physiological Relevance.
Mu X, Gerhard-Herman M, Zhang Y Adv Mater Technol. 2023; 8(7).
PMID: 37693798 PMC: 10489284. DOI: 10.1002/admt.202201778.