alexa Crosslinkomics---A New Era of Mapping Protein-Protein I
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Crosslinkomics---A New Era of Mapping Protein-Protein Interactions

Jie Luo* and Jeff Ranish

Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA

*Corresponding Author:
Jie Luo
Institute for Systems Biology
401 Terry Ave N Seattle WA 98109, USA
[email protected]

Received Date: December 12, 2011; Accepted Date: December 15, 2011; Published Date: December 17, 2011

Citation: Luo J, Ranish J (2011) Crosslinkomics---A New Era of Mapping Protein- Protein Interactions. J Proteomics Bioinform 4:viii-viii. doi:10.4172/jpb.100000e8

Copyright: © 2011 Luo J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



A major goal of proteomics is to figure out how proteins interact with one another through networks and within complexes. The development of integrated chemical crosslinking, Mass spectrometric and computation approaches (CXMS) have recently emerged as powerful technologies to study protein interactions and have the potential to significantly advance the field of protein-interaction mapping. The identified crosslinked peptides (two peptides linked by specific crosslinkers), can be used to infer sites of protein-protein interactions and put distance constraints on interacting sites based on the properties of the crosslinkers. Recent reports on the on mapping of interactions within large assemblages such the 15 subunit RNA polymerase II-TFIIF complex [EMBO J 29, 717-726] , the 53 subunit Ribosome[JPR, 10(8):3604-3616] and a partially purified prepartion of the 12 subunit RNA polymerase II [MCP, mcp.M111.008318] suggest that the field of CXMS has matured to the point where its use for mapping protein interactions in large compelxes will soon become more routine. CROSSLINKOMICS, which uses mass spectrometry and computational approaches to identify chemically crosslinked peptides in a high throughput and unbiased manner, is emerging as a new and promising OMICS which has the potential to revolutionize the study of protein-protein interactions.

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