Journal article
An atlas of human metabolism
Chalmers University of Technology1
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark2
Big Data 2 Knowledge, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark3
Network Reconstruction in Silico Biology, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark4
KTH Royal Institute of Technology5
High Throughput Molecular Bioscience, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark6
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.
Language: | English |
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Publisher: | AAAS |
Year: | 2020 |
Pages: | eaaz1482-eaaz1482 |
ISSN: | 19379145 and 19450877 |
Types: | Journal article |
DOI: | 10.1126/scisignal.aaz1482 |
ORCIDs: | 0000-0001-8567-5960 , 0000-0001-9788-2019 , 0000-0001-7475-0136 , 0000-0001-5534-8600 , 0000-0002-9476-4516 , 0000-0002-7753-9042 , 0000-0001-9881-6232 , 0000-0002-5322-2040 , 0000-0002-0829-2496 , 0000-0001-5072-2659 , 0000-0002-3593-5792 , 0000-0002-9190-2979 , Palsson, Bernhard O. , 0000-0002-4254-6090 , 0000-0002-4858-8056 and 0000-0002-9955-6003 |