Open Access
Extracellular matrix bioink boosts stemness and facilitates transplantation of intestinal organoids as a biosafe Matrigel alternative
Author(s) -
Xu ZiYan,
Huang JinJian,
Liu Ye,
Chen CanWen,
Qu GuiWen,
Wang GeFei,
Zhao Yun,
Wu XiuWen,
Ren JianAn
Publication year - 2023
Publication title -
bioengineering and translational medicine
Language(s) - English
Resource type - Journals
ISSN - 2380-6761
DOI - 10.1002/btm2.10327
Subject(s) - matrigel , decellularization , organoid , extracellular matrix , microbiology and biotechnology , regenerative medicine , transplantation , 3d bioprinting , biofabrication , stem cell , chemistry , tissue engineering , biology , biomedical engineering , angiogenesis , cancer research , medicine , surgery
Abstract Organoids hold inestimable therapeutic potential in regenerative medicine and are increasingly serving as an in vitro research platform. Still, their expanding applications are critically restricted by the canonical culture matrix and system. Synthesis of a suitable bioink of bioactivity, biosecurity, tunable stiffness, and printability to replace conventional matrices and fabricate customized culture systems remains challenging. Here, we envisaged a novel bioink formulation based on decellularized extracellular matrix (dECM) from porcine small intestinal submucosa for organoids bioprinting, which provides intestinal stem cells (ISCs) with niche‐specific ECM content and biomimetic microstructure. Intestinal organoids cultured in the fabricated bioink exhibited robust generation as well as a distinct differentiation pattern and transcriptomic signature. This bioink established a new co‐culture system able to study interaction between epithelial homeostasis and submucosal cells and promote organoids maturation after transplantation into the mesentery of immune‐deficient NODSCID‐gamma (NSG) mice. In summary, the development of such photo‐responsive bioink has the potential to replace tumor‐derived Matrigel and facilitate the application of organoids in translational medicine and disease modeling.