用于设计新疗法和鉴定新生物标志物的多基因组学集成。

IF 4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Proteomes Pub Date : 2023-10-20 DOI:10.3390/proteomes11040034

Tonci Ivanisevic, Raj N Sewduth

{"title":"用于设计新疗法和鉴定新生物标志物的多基因组学集成。","authors":"Tonci Ivanisevic, Raj N Sewduth","doi":"10.3390/proteomes11040034","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":20877,"journal":{"name":"Proteomes","volume":"11 4","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594525/pdf/","citationCount":"0","resultStr":"{\"title\":\"Multi-Omics Integration for the Design of Novel Therapies and the Identification of Novel Biomarkers.\",\"authors\":\"Tonci Ivanisevic, Raj N Sewduth\",\"doi\":\"10.3390/proteomes11040034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":20877,\"journal\":{\"name\":\"Proteomes\",\"volume\":\"11 4\",\"pages\":\"\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2023-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594525/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proteomes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/proteomes11040034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proteomes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/proteomes11040034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}

引用次数: 0

摘要

多组学是一种前沿方法，它结合了不同生物分子水平的数据，如DNA、RNA、蛋白质、代谢物和表观遗传学标记，以获得生命系统如何工作和相互作用的整体观点。多组学已被用于生物医学研究的各种目的，如识别新疾病、发现新药、个性化治疗和优化治疗。这篇综述总结了多组学在设计人类疾病新治疗方法方面的最新进展和挑战，重点介绍了如何整合和分析多个蛋白质组数据，以及如何利用多蛋白质组数据识别新药靶点的例子。我们还讨论了多组学通过破译蛋白质组复杂性来开发创新有效疗法的未来方向和机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Multi-Omics Integration for the Design of Novel Therapies and the Identification of Novel Biomarkers.

查看原文本刊更多论文

Multi-Omics Integration for the Design of Novel Therapies and the Identification of Novel Biomarkers.

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proteomes Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry

CiteScore

6.50

自引率

3.00%

发文量

审稿时长

11 weeks

期刊介绍： Proteomes (ISSN 2227-7382) is an open access, peer reviewed journal on all aspects of proteome science. Proteomes covers the multi-disciplinary topics of structural and functional biology, protein chemistry, cell biology, methodology used for protein analysis, including mass spectrometry, protein arrays, bioinformatics, HTS assays, etc. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of papers. Scope: -whole proteome analysis of any organism -disease/pharmaceutical studies -comparative proteomics -protein-ligand/protein interactions -structure/functional proteomics -gene expression -methodology -bioinformatics -applications of proteomics