Identifying anti-growth factors for human cancer cell lines through genome-scale metabolic modeling
Abstract
Human cancer cell lines are used as important model systems to study molecular mechanisms associated with tumor growth, hereunder how genomic and biological heterogeneity found in primary tumors affect cellular phenotypes. We reconstructed Genome scale metabolic models (GEMs) for eleven cell lines based on RNA-Seq data and validated the functionality of these models with data from metabolite profiling. We used cell line-specific GEMs to analyze...
Paper Details
Title
Identifying anti-growth factors for human cancer cell lines through genome-scale metabolic modeling
Published Date
Feb 2, 2015
Journal
Volume
5
Issue
1
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