Reverse‐engineering human regulatory networks
| Autor: | Andrea Califano, Celine Lefebvre, Gabrielle E. Rieckhof |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Proteomics
Reverse engineering Systems biology Gene regulatory network Medicine (miscellaneous) Genomics Computational biology Biology computer.software_genre Biochemistry Genetics and Molecular Biology (miscellaneous) Article Metabolomics Humans Gene Regulatory Networks Protein Interaction Maps Genetics Systems Biology Repertoire MicroRNAs Transcriptome computer Biological network Genome-Wide Association Study Protein Modification Translational |
| Zdroj: | WIREs Systems Biology and Medicine. 4:311-325 |
| ISSN: | 1939-005X 1939-5094 |
| Popis: | The explosion of genomic, transcriptomic, proteomic, metabolomic, and other omics data is challenging the research community to develop rational models for their organization and interpretation to generate novel biological knowledge. The development and use of gene regulatory networks to mechanistically interpret this data is an important development in molecular biology, usually captured under the banner of systems biology. As a result, the repertoire of methods for the reconstruction of comprehensive and cell-context-specific maps of regulatory interactions, or interactomes, has also exploded in the past few years. In this review, we focus on Network Biology and more specifically on methods for reverse engineering transcriptional, post-transcriptional, and post-translational human interaction networks and show how their interrogation is starting to impact our understanding of cellular pathophysiology and one’s ability to predict cellular phenotypes from genome-wide molecular observations. |
| Databáze: | OpenAIRE |
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