An atlas of human metabolism
Journal article, 2020
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.
Author
Jonathan Robinson
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Pinar Kocabas
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Hao Wang
University of Gothenburg
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Pierre-Etienne Cholley
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Daniel John Cook
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Avlant Nilsson
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Petre Mihail Anton
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Raphael Ferreira
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Iván Domenzain Del Castillo Cerecer
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Virinchi Billa
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Angelo Limeta
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Alex Hedin
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Johan Gustafsson
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Eduard Kerkhoven
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Thomas Svensson
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Bernhard O. Palsson
University of California
Technical University of Denmark (DTU)
Adil Mardinoglu
King's College London
Royal Institute of Technology (KTH)
Lena Hansson
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Mathias Uhlen
Royal Institute of Technology (KTH)
Technical University of Denmark (DTU)
Jens B Nielsen
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Technical University of Denmark (DTU)
BioInnovation Institute
Science signaling
19450877 (ISSN) 19379145 (eISSN)
Vol. 13 624 eaaz1482Subject Categories
Other Computer and Information Science
Bioinformatics (Computational Biology)
Bioinformatics and Systems Biology
Infrastructure
Facility for Computational Systems Biology
DOI
10.1126/scisignal.aaz1482
PubMed
32209698
Related datasets
Supplementary data and scripts for "An Atlas of Human Metabolism" [dataset]
DOI: 10.5281/zenodo.3577466