Department of Biology and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE-41258 Gothenburg, Sweden.
Wallenberg Center for Protein Research, Chalmers University of Technology, Kemivägen 10, SE-41258 Gothenburg, Sweden.
Sci Signal. 2020 Mar 24;13(624):eaaz1482. doi: 10.1126/scisignal.aaz1482.
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.
基因组规模代谢模型(GEMs)是研究代谢和为整合分析组学数据提供支架的有价值的工具。研究人员已经开发出越来越全面的人类 GEMs,但不同模型来源和版本之间的脱节阻碍了进一步的进展。因此,我们整合并广泛编辑了最新的人类代谢模型,构建了一个共识 GEM,即 Human1。我们通过使用转录组、蛋白质组和动力学数据生成和分析细胞和组织特异性模型,展示了 Human1 的多功能性。我们还提供了一个配套的网络门户,代谢图谱(https://www.metabolicatlas.org/),方便进一步探索和可视化 Human1 的内容。Human1 是使用版本控制的、开源的模型开发框架创建的,以实现社区驱动的编辑和改进。该框架允许 Human1 成为未来人类健康和疾病研究的不断发展的共享资源。