Hu Zhang-Zhi, Huang Hongzhan, Wu Cathy H, Jung Mira, Dritschilo Anatoly, Riegel Anna T, Wellstein Anton
Lombardi Cancer Center, Georgetown University, Washington, DC, USA.
Methods Mol Biol. 2011;719:547-71. doi: 10.1007/978-1-61779-027-0_26.
Genomic, proteomic, and other omic-based approaches are now broadly used in biomedical research to facilitate the understanding of disease mechanisms and identification of molecular targets and biomarkers for therapeutic and diagnostic development. While the Omics technologies and bioinformatics tools for analyzing Omics data are rapidly advancing, the functional analysis and interpretation of the data remain challenging due to the inherent nature of the generally long workflows of Omics experiments. We adopt a strategy that emphasizes the use of curated knowledge resources coupled with expert-guided examination and interpretation of Omics data for the selection of potential molecular targets. We describe a downstream workflow and procedures for functional analysis that focus on biological pathways, from which molecular targets can be derived and proposed for experimental validation.
基因组学、蛋白质组学和其他基于组学的方法目前广泛应用于生物医学研究,以促进对疾病机制的理解,并识别用于治疗和诊断开发的分子靶点和生物标志物。虽然用于分析组学数据的组学技术和生物信息学工具正在迅速发展,但由于组学实验通常较长的工作流程的固有性质,数据的功能分析和解释仍然具有挑战性。我们采用一种策略,强调使用经过整理的知识资源,结合专家指导的组学数据分析和解释,以选择潜在的分子靶点。我们描述了一个下游工作流程和功能分析程序,重点关注生物途径,从中可以推导并提出分子靶点进行实验验证。