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An atlas of human metabolism

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Jonathan L. Robinson, Pınar Kocabaş, Hao Wang, Pierre Etienne Cholley, Daniel Cook, Avlant Nilsson, Mihail Anton, Raphael Ferreira, Iván Domenzain, Virinchi Billa, Angelo Limeta, Alex Hedin, Johan Gustafsson, Eduard J. Kerkhoven, L. Thomas Svensson, Bernhard O. Palsson, Adil Mardinoglu, Lena Hansson, Mathias Uhlén, Jens Nielsen

Original languageEnglish
JournalScience Signaling
Volume13
Issue number624
DOIs
Publication statusPublished - 24 Mar 2020

King's Authors

Abstract

Genome-scale metabolic models (GEMs) are valuable tools to study metabolism and provide a scaffold for the integrative analysis of omics data. Researchers have developed increasingly comprehensive human GEMs, but the disconnect among different model sources and versions impedes further progress. We therefore integrated and extensively curated the most recent human metabolic models to construct a consensus GEM, Human1. We demonstrated the versatility of Human1 through the generation and analysis of cell- and tissue-specific models using transcriptomic, proteomic, and kinetic data. We also present an accompanying web portal, Metabolic Atlas (https://www.metabolicatlas.org/), which facilitates further exploration and visualization of Human1 content. Human1 was created using a version-controlled, open-source model development framework to enable community-driven curation and refinement. This framework allows Human1 to be an evolving shared resource for future studies of human health and disease.

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