Bioprinting-assisted tissue assembly to generate organ substitutes at scale.


Journal

Trends in biotechnology
ISSN: 1879-3096
Titre abrégé: Trends Biotechnol
Pays: England
ID NLM: 8310903

Informations de publication

Date de publication:
01 2023
Historique:
received: 26 02 2022
revised: 29 04 2022
accepted: 01 07 2022
pubmed: 31 7 2022
medline: 27 12 2022
entrez: 30 7 2022
Statut: ppublish

Résumé

Various external cues can guide cellular behavior and maturation during developmental processes. Recent studies on bioprinting-assisted tissue engineering have considered this a practical, versatile, and flexible way to provide external cues to developing engineered tissues. An ensemble of multiple external cues can improve the speed and capability of morphogenesis. In this review, we discuss how bioprinting and biomaterials provide multiple guidance to generate micro-sized building blocks with specific shapes and also highlight their applications in tissue assembly toward volumetric tissue and organ generation. Furthermore, we discuss our perspectives on the future translation of bioprinting technologies integrated with artificial intelligence (AI) and robot-assisted apparatus to promote automation, standardization, and clinical translation of bioprinted tissues.

Identifiants

pubmed: 35907704
pii: S0167-7799(22)00170-6
doi: 10.1016/j.tibtech.2022.07.001
pii:
doi:

Substances chimiques

Biocompatible Materials 0

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

93-105

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors have no interests to declare.

Auteurs

Yeonggwon Jo (Y)

School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.

Dong Gyu Hwang (DG)

School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.

Myungji Kim (M)

School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.

Uijung Yong (U)

Department of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.

Jinah Jang (J)

School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea; Department of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea; Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea; Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul, Republic of Korea. Electronic address: jinahjang@postech.ac.kr.

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Classifications MeSH