Gastrointestinal tract modeling using organoids engineered with cellular and microbiota niches

Sungjin Min, Suran Kim, Seung Woo Cho

Research output: Contribution to journalReview articlepeer-review

69 Citations (Scopus)

Abstract

The recent emergence of organoid technology has attracted great attention in gastroenterology because the gastrointestinal (GI) tract can be recapitulated in vitro using organoids, enabling disease modeling and mechanistic studies. However, to more precisely emulate the GI microenvironment in vivo, several neighboring cell types and types of microbiota need to be integrated into GI organoids. This article reviews the recent progress made in elucidating the crosstalk between GI organoids and components of their microenvironment. We outline the effects of stromal cells (such as fibroblasts, neural cells, immune cells, and vascular cells) on the gastric and intestinal epithelia of organoids. Because of the important roles that microbiota play in the physiology and function of the GI tract, we also highlight interactions between organoids and commensal, symbiotic, and pathogenic microorganisms and viruses. GI organoid models that contain niche components will provide new insight into gastroenterological pathophysiology and disease mechanisms.

Original languageEnglish
Pages (from-to)227-237
Number of pages11
JournalExperimental and Molecular Medicine
Volume52
Issue number2
DOIs
Publication statusPublished - 2020 Feb 1

Bibliographical note

Funding Information:
This work was supported by grants (2015M3A9B4071076 and 2018M3A9H1021382) from the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), Republic of Korea.

Publisher Copyright:
© 2020, The Author(s).

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Molecular Medicine
  • Molecular Biology
  • Clinical Biochemistry

Fingerprint

Dive into the research topics of 'Gastrointestinal tract modeling using organoids engineered with cellular and microbiota niches'. Together they form a unique fingerprint.

Cite this