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ABSTRACT: gene expression of human liver cancer

PROVIDER: PRJNA813700 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR18269906_1.fastq.gz	Fastqsanger.gz
	SRR18269906_2.fastq.gz	Fastqsanger.gz
	SRR18269907_1.fastq.gz	Fastqsanger.gz
	SRR18269907_2.fastq.gz	Fastqsanger.gz
	SRR18269908_1.fastq.gz	Fastqsanger.gz

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Project description:Stavrum2013 - Tryptophan Metabolism in Liver This model is described in the article: Model of tryptophan metabolism, readily scalable using tissue-specific gene expression data. Stavrum AK, Heiland I, Schuster S, Puntervoll P, Ziegler M. J. Biol. Chem. 2013 Nov; 288(48): 34555-34566 Abstract: Tryptophan is utilized in various metabolic routes including protein synthesis, serotonin, and melatonin synthesis and the kynurenine pathway. Perturbations in these pathways have been associated with neurodegenerative diseases and cancer. Here we present a comprehensive kinetic model of the complex network of human tryptophan metabolism based upon existing kinetic data for all enzymatic conversions and transporters. By integrating tissue-specific expression data, modeling tryptophan metabolism in liver and brain returned intermediate metabolite concentrations in the physiological range. Sensitivity and metabolic control analyses identified expected key enzymes to govern fluxes in the branches of the network. Combining tissue-specific models revealed a considerable impact of the kynurenine pathway in liver on the concentrations of neuroactive derivatives in the brain. Moreover, using expression data from a cancer study predicted metabolite changes that resembled the experimental observations. We conclude that the combination of the kinetic model with expression data represents a powerful diagnostic tool to predict alterations in tryptophan metabolism. The model is readily scalable to include more tissues, thereby enabling assessment of organismal tryptophan metabolism in health and disease. This model is hosted on BioModels Database and identified by: BIOMD0000000602. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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