English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/41306
Share/Impact:
Statistics
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

Technical Phosphoproteomic and Bioinformatic Tools useful in Cancer Research

AuthorsLópez, Elena; Wesselink, Jan-Jaap; López, Isabel; Mendieta, Jesús ; Gómez-Puertas, Paulino ; Rodriguez-Muñoz, Sarbelio
Issue Date3-Oct-2011
PublisherBioMed Central
CitationJournal of Clinical Bioinformatics 1(1) : 26 (2011)
AbstractAbstract Reversible protein phosphorylation is one of the most important forms of cellular regulation. Thus, phosphoproteomic analysis of protein phosphorylation in cells is a powerful tool to evaluate cell functional status. The importance of protein kinase-regulated signal transduction pathways in human cancer has led to the development of drugs that inhibit protein kinases at the apex or intermediary levels of these pathways. Phosphoproteomic analysis of these signalling pathways will provide important insights for operation and connectivity of these pathways to facilitate identification of the best targets for cancer therapies. Enrichment of phosphorylated proteins or peptides from tissue or bodily fluid samples is required. The application of technologies such as phosphoenrichments, mass spectrometry (MS) coupled to bioinformatics tools is crucial for the identification and quantification of protein phosphorylation sites for advancing in such relevant clinical research. A combination of different phosphopeptide enrichments, quantitative techniques and bioinformatic tools is necessary to achieve good phospho-regulation data and good structural analysis of protein studies. The current and most useful proteomics and bioinformatics techniques will be explained with research examples. Our aim in this article is to be helpful for cancer research via detailing proteomics and bioinformatic tools.
URIhttp://hdl.handle.net/10261/41306
Identifiershttp://dx.doi.org/10.1186/2043-9113-1-26
Appears in Collections:(CBM) Artículos
Files in This Item:
File Description SizeFormat 
2043-9113-1-26.xml114,5 kBXMLView/Open
2043-9113-1-26.pdf1,84 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.