García-Valiente Rodrigo, Fernández-García Jonatan, Carabias-Sánchez Javier, Landeira-Viñuela Alicia, Góngora Rafael, Gonzalez-Gonzalez María, Fuentes Manuel
Proteomics Unit, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain.
Department of Medicine and Cytometry General Service-NUCLEUS, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), Salamanca, Spain.
Methods Mol Biol. 2019;1871:107-122. doi: 10.1007/978-1-4939-8814-3_7.
High-density protein microarrays constitute a promising high-throughput platform for the characterization of protein expression patterns, biomarker discovery, and validation. Different types of protein microarrays have been described according to several features (such as content, format, and detection system) presenting advantages and disadvantages which are relevant for the specific application and purposes. Therefore, an experimental design is key for any screening based on protein microarrays assays; in fact, the data analysis strategy is directly related to the experimental design, type of protein microarray and consequently the final outcome, the data and results interpretation, is also directly linked. Here, it is proposed a systematic workflow for biomarker discovery based on tailor-made protein microarrays platforms which obtain comprehensively info for the functional protein characterization in high-throughput format.
高密度蛋白质微阵列构成了一个很有前景的高通量平台,可用于蛋白质表达模式的表征、生物标志物的发现和验证。根据多种特征(如内容、形式和检测系统),已经描述了不同类型的蛋白质微阵列,它们各有优缺点,这与特定的应用和目的相关。因此,实验设计对于基于蛋白质微阵列分析的任何筛选来说都是关键;事实上,数据分析策略与实验设计、蛋白质微阵列类型直接相关,因此最终结果,即数据和结果的解释,也直接相关。在此,提出了一种基于定制蛋白质微阵列平台的生物标志物发现系统工作流程,该平台以高通量形式全面获取功能蛋白质表征信息。