Issue 10, 2022

Subtractive manufacturing with swelling induced stochastic folding of sacrificial materials for fabricating complex perfusable tissues in multi-well plates

Abstract

Organ-on-a-chip systems that recapitulate tissue-level functions have been proposed to improve in vitro–in vivo correlation in drug development. Significant progress has been made to control the cellular microenvironment with mechanical stimulation and fluid flow. However, it has been challenging to introduce complex 3D tissue structures due to the physical constraints of microfluidic channels or membranes in organ-on-a-chip systems. Inspired by 4D bioprinting, we develop a subtractive manufacturing technique where a flexible sacrificial material can be patterned on a 2D surface, swell and shape change when exposed to aqueous hydrogel, and subsequently degrade to produce perfusable networks in a natural hydrogel matrix that can be populated with cells. The technique is applied to fabricate organ-specific vascular networks, vascularized kidney proximal tubules, and terminal lung alveoli in a customized 384-well plate and then further scaled to a 24-well plate format to make a large vascular network, vascularized liver tissues, and for integration with ultrasound imaging. This biofabrication method eliminates the physical constraints in organ-on-a-chip systems to incorporate complex ready-to-perfuse tissue structures in an open-well design.

Graphical abstract: Subtractive manufacturing with swelling induced stochastic folding of sacrificial materials for fabricating complex perfusable tissues in multi-well plates

Supplementary files

Article information

Article type
Paper
Submitted
16 Dec 2021
Accepted
21 Mar 2022
First published
31 Mar 2022
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2022,22, 1929-1942

Subtractive manufacturing with swelling induced stochastic folding of sacrificial materials for fabricating complex perfusable tissues in multi-well plates

S. Rajasekar, D. S. Y. Lin, F. Zhang, A. Sotra, A. Boshart, S. Clotet-Freixas, A. Liu, J. A. Hirota, S. Ogawa, A. Konvalinka and B. Zhang, Lab Chip, 2022, 22, 1929 DOI: 10.1039/D1LC01141C

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