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Open AccessJournal ArticleDOI

Integration of biological networks and gene expression data using Cytoscape

TLDR
This protocol explains how to use Cytoscape to analyze the results of mRNA expression profiling, and other functional genomics and proteomics experiments, in the context of an interaction network obtained for genes of interest.
Abstract
Cytoscape is a free software package for visualizing, modeling and analyzing molecular and genetic interaction networks. This protocol explains how to use Cytoscape to analyze the results of mRNA expression profiling, and other functional genomics and proteomics experiments, in the context of an interaction network obtained for genes of interest. Five major steps are described: (i) obtaining a gene or protein network, (ii) displaying the network using layout algorithms, (iii) integrating with gene expression and other functional attributes, (iv) identifying putative complexes and functional modules and (v) identifying enriched Gene Ontology annotations in the network. These steps provide a broad sample of the types of analyses performed by Cytoscape.

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Metabolome and Proteome Profiling of Complex I Deficiency Induced by Rotenone

TL;DR: An integrative study combining liquid chromatography-mass spectrometry (LC-MS)-based metabolome and proteome profiling in CI deficient HeLa cells reports a rapid LC-MS-based method for the relative quantification of targeted metabolome profiling with an additional layer of confidence.
Journal ArticleDOI

Intra-host dynamics of Ebola virus during 2014.

TL;DR: A comprehensive distribution of iSNVs during this outbreak and along the EBOV genome is presented and it is revealed that VP40 is the most conserved gene during this outbreaks and thus it would be an ideal therapeutic target.
Journal ArticleDOI

Quantifying the underlying landscape and paths of cancer.

TL;DR: A global potential landscape and path framework to quantify cancer and associated processes and constructed a cancer gene regulatory network based on the experimental evidences and uncovered some key gene regulations determining the transitions between cancer and normal states.
Journal ArticleDOI

Transcriptional-Metabolic Networks in β-Carotene-Enriched Potato Tubers: The Long and Winding Road to the Golden Phenotype

TL;DR: Through a “guilt-by-profiling” approach, several endogenous genes for carotenoid biosynthesis likely to play a key regulatory role in Golden tubers are identified, which are candidates for manipulations aimed at the further optimization of tuber carOTenoid content.
References
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Journal ArticleDOI

Gene Ontology: tool for the unification of biology

TL;DR: The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.
Journal ArticleDOI

Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks

TL;DR: Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
Journal ArticleDOI

KEGG: Kyoto Encyclopedia of Genes and Genomes

TL;DR: The Kyoto Encyclopedia of Genes and Genomes (KEGG) as discussed by the authors is a knowledge base for systematic analysis of gene functions in terms of the networks of genes and molecules.
Journal ArticleDOI

Summaries of Affymetrix GeneChip probe level data

TL;DR: It is found that the performance of the current version of the default expression measure provided by Affymetrix Microarray Suite can be significantly improved by the use of probe level summaries derived from empirically motivated statistical models.
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