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Title: Current advances in skin-on-a-chip models for drug testing
Authors: Zhang, Q 
Sito, L 
Mao, M 
He, J 
Zhang, YS 
Zhao, X 
Issue Date: Aug-2018
Source: Microphysiological systems, Aug. 2018, v. 2, 4, p. 1-9
Abstract: Skin-on-a-chip models are highly desirable in drug testing compared to conventional 2D cell culture and animal models as they can replicate organ-specific 3D structural organization and physiological functions at a relatively low cost. To engineer a physiologically relevant skin model, human skin structures have been integrated onto microfluidic platforms to construct skin-on-a-chip systems that can mimic the complex in vivo situation. In this mini-review, we first briefly introduce some critical technologies employed to develop in vitro skin-on-a-chip models. We then review the applications of the state-of-the-art skin-on-a-chip models in drug testing, with a focus on using models of full-thickness skin equivalents (FTSEs), skin models with additional components such as vasculature, immune cells and hair follicles as well as multi-organ-on-a-chip models. Finally, we discuss some current challenges and future directions of development of complex, and in vivo-like skin-on-a-chip models.
Keywords: Organ-on-a-chip
Human skin equivalents (HSEs)
Skin-on-a-chip
Microfluidics
Drug testing
Publisher: AME Publishing Company
Journal: Microphysiological systems 
EISSN: 2616-275X
Rights: © Microphysiological Systems. All rights reserved.
Microphysiological Systems is a peer reviewed, open access journal. All content of the journal is published under the Creative Commons Attribution-NonCommercial- NoDerivatives 4.0 International License (CC BY-NC-ND 4.0) (https://creativecommons.org/licenses/by-nc-nd/4.0/). All articles published open access will be immediately and permanently free for all to read, download, copy and distribute as defined by the applied license.
The following publication Zhang Q, Sito L, Mao M, He J, Zhang YS, Zhao X. Current advances in skin-on-a-chip models for drug testing. Microphysiol Syst 2018;2:4 is available at http://mps.amegroups.com/article/view/4737
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