Dataset Information

Next Generation Sequencing Facilitates Quantitative Analysis of control smooth muscle cells and Tet3-inactivation smooth muscle cells transcriptomes

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of control smooth muscle cells and Tet3-inactivation smooth muscle cells transcriptomes

PROVIDER: PRJNA702064 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR13718927.fastq.gz	Fastqsanger.gz
	SRR13718928.fastq.gz	Fastqsanger.gz
	SRR13718929.fastq.gz	Fastqsanger.gz
	SRR13718930.fastq.gz	Fastqsanger.gz

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Project description:Thiele2013 - Smooth muscle smooth muscle cells The model of smooth muscle smooth muscle cells metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000 ). This model is described in the article: A community-driven global reconstruction of human metabolism. Thiele I, et al . Nature Biotechnology Abstract: Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven, consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/. This model is hosted on BioModels Database and identified by: MODEL1310110025 . 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.

Dataset Information

Next Generation Sequencing Facilitates Quantitative Analysis of control smooth muscle cells and Tet3-inactivation smooth muscle cells transcriptomes

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