data analysis strategies for protein microarrays蛋白质微阵列数据分析策略.pdf

Microarrays 2012, 1, 64-83; doi:10.3390/microarrays 1020064 OPEN ACCESS microarrays ISSN 2076-3905 /journal/microarrays Review Data Analysis Strategies for Protein Microarrays Paula Díez 1,†, Noelia Dasilva 1,†, María González-González 1, Sergio Matarraz 1, Juan Casado-Vela 2, Alberto Orfao 1 and Manuel Fuentes 1,* 1 Centro de Investigación del Cáncer/IBMCC (USAL/CSIC), IBSAL, Departamento de Medicina and Servicio General de Citometría, University of Salamanca, Salamanca 37007, Spain; E-Mails: pauladg@usal.es (P.D.); noeliadf@usal.es (N.D.); mariagg@usal.es (M.G.-G.); smats@usal.es (S.M.); orfao@usal.es (A.O.) 2 Translational Oncology Unit, Instituto de Investigaciones Biomédicas „Alberto Sols‟, Spanish National Research Council (CSIC-UAM), 28029 Madrid, Spain; E-Mail: jcasado@iib.uam.es † These authors contributed equally to this work. * Author to whom correspondence should be addressed; E-Mail: mfuentes@usal.es; Tel.: +34-923-294-811; Fax: +34-923-294-743. Received: 13 June 2012; in revised form: 13 July 2012 / Accepted: 31 July 2012 / Published: 6 August 2012 Abstract: Microarrays constitute a new platform which allows the discovery and characterization of proteins. According to different features, such as content, surface or detection system, there are many types of protein microarrays which can be applied for the identification of disease biomarkers and the characterization of protein expression patterns. However, the analysis and interpretation of the amount of i