Ivanisevic Tonci, Sewduth Raj N
VIB-KU Leuven Center for Cancer Biology (VIB), 3000 Leuven, Belgium.
Proteomes. 2023 Oct 20;11(4):34. doi: 10.3390/proteomes11040034.
Multi-omics is a cutting-edge approach that combines data from different biomolecular levels, such as DNA, RNA, proteins, metabolites, and epigenetic marks, to obtain a holistic view of how living systems work and interact. Multi-omics has been used for various purposes in biomedical research, such as identifying new diseases, discovering new drugs, personalizing treatments, and optimizing therapies. This review summarizes the latest progress and challenges of multi-omics for designing new treatments for human diseases, focusing on how to integrate and analyze multiple proteome data and examples of how to use multi-proteomics data to identify new drug targets. We also discussed the future directions and opportunities of multi-omics for developing innovative and effective therapies by deciphering proteome complexity.
多组学是一种前沿方法，它整合来自不同生物分子水平的数据，如DNA、RNA、蛋白质、代谢物和表观遗传标记，以全面了解生命系统如何运作和相互作用。多组学已在生物医学研究中用于各种目的，如识别新疾病、发现新药、个性化治疗和优化疗法。本综述总结了多组学在设计人类疾病新疗法方面的最新进展和挑战，重点关注如何整合和分析多个蛋白质组数据，以及如何使用多蛋白质组数据识别新药物靶点的实例。我们还讨论了多组学通过解读蛋白质组复杂性来开发创新有效疗法的未来方向和机遇。
