Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Harnessing single-cell genomics to improve the physiological fidelity of organoid-derived cell types

Harnessing single-cell genomics to improve the physiological fidelity of organoid-derived cell types

Thumbnail Image
Download
Name

12915_2018_Article_527.pdf

Size

5.39 MB

Format

Adobe PDF

Checksum (MD5)

d0054d99e791d338f212e5ba4ea43fde

Download all files submitted through automated deposit
art_6813038994172131020.zip (4.84 MB)
Author(s)
Szucs, Matthew J
•
Ammendolia, Dustin A
•
MacMullan, Melanie A
•
Rakoff-Nahoum, Seth
•
Mead, Benjamin Elliott
•
Ordovas-Montanes, Jose Manuel
•
Braun, Alexandra Provost
•
Levy, Lauren
•
Saluja, Prerna Bhargava
•
Yin, Xiaolei
more
Date Issued
June 2018
Journal
BMC Biology
Publisher
Biomed Central Ltd
Citation
Mead, Benjamin E. et al. "Harnessing single-cell genomics to improve the physiological fidelity of organoid-derived cell types." BMC Biology 16 (June 2018): 62 © 2018 Karp et al
Version
Final published version
Abstract
Background Single-cell genomic methods now provide unprecedented resolution for characterizing the component cell types and states of tissues such as the epithelial subsets of the gastrointestinal tract. Nevertheless, functional studies of these subsets at scale require faithful in vitro models of identified in vivo biology. While intestinal organoids have been invaluable in providing mechanistic insights in vitro, the extent to which organoid-derived cell types recapitulate their in vivo counterparts remains formally untested, with no systematic approach for improving model fidelity. Results Here, we present a generally applicable framework that utilizes massively parallel single-cell RNA-seq to compare cell types and states found in vivo to those of in vitro models such as organoids. Furthermore, we leverage identified discrepancies to improve model fidelity. Using the Paneth cell (PC), which supports the stem cell niche and produces the largest diversity of antimicrobials in the small intestine, as an exemplar, we uncover fundamental gene expression differences in lineage-defining genes between in vivo PCs and those of the current in vitro organoid model. With this information, we nominate a molecular intervention to rationally improve the physiological fidelity of our in vitro PCs. We then perform transcriptomic, cytometric, morphologic and proteomic characterization, and demonstrate functional (antimicrobial activity, niche support) improvements in PC physiology. Conclusions Our systematic approach provides a simple workflow for identifying the limitations of in vitro models and enhancing their physiological fidelity. Using adult stem cell-derived PCs within intestinal organoids as a model system, we successfully benchmark organoid representation, relative to that in vivo, of a specialized cell type and use this comparison to generate a functionally improved in vitro PC population. We predict that the generation of rationally improved cellular models will facilitate mechanistic exploration of specific disease-associated genes in their respective cell types. Keywords: Single-cell RNA-seq; Chemical biology; Stem cell-derived models; Paneth cell; Intestinal organoid; Intestinal stem cell; Differentiation; Systems biology
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Center for Microbiome Informatics and Therapeutics
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Synthetic Biology Center
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution
http://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/116280
DOI of Published Version
https://doi.org/10.1186/s12915-018-0527-2
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.