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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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Cannabidiol affects circadian clock core complex and its regulation in microglia cells.

TL;DR: This study suggests that circadian rhythm in microglial cells is deregulated by CBD but not by THC, consistent with clinical observations of the use of therapeutic cannabis to treat insomnia.
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Systems proteomics for translational network medicine.

TL;DR: Proteomics encompasses diverse methods by which to study proteins, their abundance, structure, posttranslational modifications, and physical or functional interacting partners to map the proteome, the protein complement of a genome, and facilitates large-scale analysis of complete proteomes or targeted subproteomes.
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Arsenic Exposure Perturbs Epithelial-Mesenchymal Cell Transition and Gene Expression In a Collagen Gel Assay

TL;DR: Electroskeleton and cell adhesion-related genes whose disruption is consistent with an altered ability to undergo EMT are identified and shown that an interactome-based approach can be useful in identifying targets.
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Profound impact of Hfq on nutrient acquisition, metabolism and motility in the plant pathogen Agrobacterium tumefaciens.

TL;DR: The pervasive role of Hfq in nutrient acquisition, metabolism and motility of the plant pathogen Agrobacterium tumefaciens is demonstrated using quantitative proteomics and co-immunoprecipitation combined with RNA-sequencing of H fq-bound RNAs.
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Measuring ultra-weak photon emission as a non-invasive diagnostic tool for detecting early-stage type 2 diabetes: A step toward personalized medicine.

TL;DR: DPs classified into three syndrome subtypes using TCM-based diagnostics suggest that UPE is a suitable tool for detecting subtypes in early-stage type 2 diabetes, and provides evidence that TCM may represent an important step toward personalized medicine.
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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