Computer Science and Engineering, Department of

 

Authors

Matthias Zilbauer, University of CambridgeFollow
Kylie R. James, Garvan Institute of Medical Research
Mandeep Kaur, University of the Witwatersrand, Johannesburg
Sebastian Pott, Department of Medicine, The University of Chicago
Zhixin Li, Dana-Farber Cancer Institute
Albert Burger, Heriot-Watt University
Jay R. Thiagarajah, Harvard Medical School
Joseph Burclaff, The University of North Carolina at Chapel Hill
Frode L. Jahnsen, Oslo Universitetssykehus
Francesca Perrone, University of Cambridge
Alexander D. Ross, University of Cambridge
Gianluca Matteoli, Departement Chronische Ziekten, Metabolisme en Veroudering
Nathalie Stakenborg, Departement Chronische Ziekten, Metabolisme en Veroudering
Tomohisa Sujino, Keio University School of Medicine
Andreas Moor, ETH Zürich
Raquel Bartolome-Casado, Oslo Universitetssykehus
Espen S. Bækkevold, Oslo Universitetssykehus
Ran Zhou, Department of Medicine, The University of Chicago
Bingqing Xie, Department of Medicine, The University of Chicago
Ken S. Lau, Vanderbilt University School of Medicine
Shahida Din, Western General Hospital
Scott T. Magness, The University of North Carolina at Chapel Hill
Qiuming Yao, University of Nebraska-LincolnFollow
Semir Beyaz, Cold Spring Harbor Laboratory
Mark Arends, The University of Edinburgh
Alexandre Denadai-Souza, Departement Chronische Ziekten, Metabolisme en Veroudering
Lori A. Coburn, Vanderbilt University Medical Center
Jellert T. Gaublomme, Columbia University
Richard Baldock, The University of Edinburgh
Irene Papatheodorou, EMBL’s European Bioinformatics Institute
Jose Ordovas-Montanes, Harvard Medical School
Guy Boeckxstaens, Departement Chronische Ziekten, Metabolisme en Veroudering
Anna Hupalowska, Genentech, Inc
Sarah A. Teichmann, Wellcome Sanger Institute

Date of this Version

9-1-2023

Citation

Nature Reviews Gastroenterology & Hepatology, Volume 20 (September 2023), pp 597–614

doi:10.1038/s41575-023-00784-1

Comments

U.S. government work

Abstract

The number of studies investigating the human gastrointestinal tract using various single-cell profiling methods has increased substantially in the past few years. Although this increase provides a unique opportunity for the generation of the first comprehensive Human Gut Cell Atlas (HGCA), there remains a range of major challenges ahead. Above all, the ultimate success will largely depend on a structured and coordinated approach that aligns global efforts undertaken by a large number of research groups. In this Roadmap, we discuss a comprehensive forward-thinking direction for the generation of the HGCA on behalf of the Gut Biological Network of the Human Cell Atlas. Based on the consensus opinion of experts from across the globe, we outline the main requirements for the first complete HGCA by summarizing existing data sets and highlighting anatomical regions and/or tissues with limited coverage. We provide recommendations for future studies and discuss key methodologies and the importance of integrating the healthy gut atlas with related diseases and gut organoids. Importantly, we critically overview the computational tools available and provide recommendations to overcome key challenges.

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