Nimer Refat M, Dahabiyeh Lina A, AlMalki Reem, Al Mogren Maha, Benabdelkamel Hicham, Alfadda Assim A, Joy Salini Scaria, Abdel Rahman Anas M
Department of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Department of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman, Jordan.
Methods Mol Biol. 2025;2921:31-56. doi: 10.1007/978-1-0716-4502-4_2.
Despite the transformation of genomics and genetics, DNA- and RNA-based information provides only a partial view of disease etiology and pathogenesis. This has increased awareness that genetic and gene expression data must be integrated with downstream product activity and cellular metabolite regulation to understand disease processes fully.By simultaneously analyzing the genome, transcriptome, proteome, and metabolome, crucial molecular pathways and novel biomarkers associated with various genetic diseases have been identified using multi-omics approaches. A more comprehensive understanding of the complex interactions between genetic factors (genotype) and disease development (phenotype) has been enabled by these approaches.This chapter describes multi-omics protocols for genetic diseases, emphasizing metabolomics and proteomics approaches.
尽管基因组学和遗传学已发生变革,但基于DNA和RNA的信息仅提供了疾病病因和发病机制的部分视图。这使人们越来越意识到,必须将遗传和基因表达数据与下游产物活性及细胞代谢物调节相结合,才能全面了解疾病过程。通过同时分析基因组、转录组、蛋白质组和代谢组,利用多组学方法已鉴定出与各种遗传疾病相关的关键分子途径和新型生物标志物。这些方法使人们能够更全面地理解遗传因素(基因型)与疾病发展(表型)之间的复杂相互作用。本章描述了遗传疾病的多组学方案,重点介绍代谢组学和蛋白质组学方法。