| The social network of a cell: recent advances in interactome mapping. | |
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MedLine Citation:
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PMID: 18606358 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Proteins very rarely act in isolation. Biomolecular interactions are central to all biological functions. In human, for example, interference with biomolecular networks often lead to disease. Protein-protein and protein-metabolite interactions have traditionally been studied one by one. Recently, significant progresses have been made in adapting suitable tools for the global analysis of biomolecular interactions. Here we review this suite of powerful technologies that enable an exponentially growing number of large-scale interaction datasets. These new technologies have already contributed to a more comprehensive cartography of several pathways relevant to human pathologies, offering a broader choice for therapeutic targets. Genome-wide scale analyses in model organisms reveal general organizational principles of eukaryotic proteomes. We also review the biochemical approaches that have been used in the past on a smaller scale for the quantification of the binding constant and the thermodynamics parameters governing biomolecular interaction. The adaptation of these technologies to the large-scale measurement of biomolecular interactions in (semi-)quantitative terms represents an important challenge. |
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Authors:
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Sebastian Charbonnier; Oriol Gallego; Anne-Claude Gavin |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Review |
Journal Detail:
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Title: Biotechnology annual review Volume: 14 ISSN: 1387-2656 ISO Abbreviation: Biotechnol Annu Rev Publication Date: 2008 |
Date Detail:
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Created Date: 2008-07-08 Completed Date: 2008-10-14 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9616443 Medline TA: Biotechnol Annu Rev Country: Netherlands |
Other Details:
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Languages: eng Pagination: 1-28 Citation Subset: IM |
Affiliation:
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EMBL, Structural and Computational Biology Unit, Meyerhofstrasse 1, D-69117 Heidelberg, Germany. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Chromatography, Affinity
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trends* Gene Expression Profiling / trends* Mass Spectrometry / trends* Protein Interaction Mapping / trends* Proteome / metabolism* Signal Transduction / physiology* Social Support Two-Hybrid System Techniques / trends* |
| Chemical | |
Reg. No./Substance:
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0/Proteome |
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