Bioengineered optogenetic model of human neuromuscular junction
Functional human tissues engineered from patient-specific induced pluripotent stem cells (hiPSCs) hold great promise for investigating the progression, mechanisms, and treatment of musculoskeletal diseases in a controlled and systematic manner. For example, bioengineered models of innervated human s...
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Published in | Biomaterials Vol. 276; p. 121033 |
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Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier Ltd
01.09.2021
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Subjects | |
Online Access | Get full text |
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Summary: | Functional human tissues engineered from patient-specific induced pluripotent stem cells (hiPSCs) hold great promise for investigating the progression, mechanisms, and treatment of musculoskeletal diseases in a controlled and systematic manner. For example, bioengineered models of innervated human skeletal muscle could be used to identify novel therapeutic targets and treatments for patients with complex central and peripheral nervous system disorders. There is a need to develop standardized and objective quantitative methods for engineering and using these complex tissues, in order increase their robustness, reproducibility, and predictiveness across users. Here we describe a standardized method for engineering an isogenic, patient specific human neuromuscular junction (NMJ) that allows for automated quantification of NMJ function to diagnose disease using a small sample of blood serum and evaluate new therapeutic modalities. By combining tissue engineering, optogenetics, microfabrication, optoelectronics and video processing, we created a novel platform for the precise investigation of the development and degeneration of human NMJ. We demonstrate the utility of this platform for the detection and diagnosis of myasthenia gravis, an antibody-mediated autoimmune disease that disrupts the NMJ function.
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 CRediT author statement Olaia F Vila: Conceptualization, Methodology, Data collection, Data analysis, Writing the manuscript; Miguel Chavez: Experimental studies, Data analysis; Stephen P Ma: Data interpretation; Keith Yeager: Development of the experimental system; Lyandysha V Zholudeva: Experimental studies; Jennifer M Colon-Mercado: Data analysis; Yihuai Qu: Experimental studies; Carmen Lai: Methodology; Carissa Feliciano: Experimental studies; Matthew Carter: Data analysis; Luke M. Judge: Methodology; Bruce Conklin: Methodology; Michael E Ward: Methodology; Todd McDevitt: Reviewing and Editing the manuscript; Gordana Vunjak-Novakovic: Conceptualization, Reviewing and Editing the manuscript |
ISSN: | 0142-9612 1878-5905 |
DOI: | 10.1016/j.biomaterials.2021.121033 |