Harnessing Noncanonical Proteins for Next-Generation Drug Discovery and Diagnosis.

IF 4.6 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Nachiket Rajinikanth, Ruchi Chauhan, Sudhakaran Prabakaran
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引用次数: 0

Abstract

Noncanonical proteins, encoded by previously overlooked genomic regions (part of the "dark genome"), are emerging as crucial players in human health and disease, expanding our understanding of the "dark proteome." This review explores their landscape, including proteins derived from long non-coding RNAs, circular RNAs, and alternative open reading frames. Recent advances in ribosome profiling, mass spectrometry, and proteogenomics have unveiled their involvement in critical cellular processes. We examine their roles in cancer, neurological disorders, cardiovascular diseases, and infectious diseases, highlighting their potential as novel biomarkers and therapeutic targets. The review addresses challenges in identifying and characterizing these proteins, particularly recently evolved ones, and discusses implications for drug discovery, including cancer immunotherapy and neoantigen sources. By synthesizing recent findings, we underscore the significance of noncanonical proteins in expanding our understanding of the human genome and proteome, and their promise in developing innovative diagnostic tools and targeted therapies. This overview aims to stimulate further research into this unexplored biological space, potentially revolutionizing approaches to disease treatment and personalized medicine.

利用非规范蛋白进行新一代药物发现和诊断。
由以前被忽视的基因组区域(“黑暗基因组”的一部分)编码的非规范蛋白质正在成为人类健康和疾病的关键角色,扩大了我们对“黑暗蛋白质组”的理解。这篇综述探讨了它们的前景,包括来自长链非编码rna、环状rna和其他开放阅读框架的蛋白质。核糖体谱分析、质谱分析和蛋白质基因组学的最新进展揭示了它们在关键细胞过程中的作用。我们研究了它们在癌症、神经系统疾病、心血管疾病和传染病中的作用,强调了它们作为新型生物标志物和治疗靶点的潜力。这篇综述讨论了识别和表征这些蛋白质的挑战,特别是最近进化的蛋白质,并讨论了药物发现的意义,包括癌症免疫治疗和新抗原来源。通过综合最近的发现,我们强调了非规范蛋白在扩大我们对人类基因组和蛋白质组的理解方面的重要性,以及它们在开发创新诊断工具和靶向治疗方面的前景。本综述旨在激发对这一未开发的生物领域的进一步研究,潜在地革新疾病治疗和个性化医疗的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
WIREs Mechanisms of Disease
WIREs Mechanisms of Disease MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
11.40
自引率
0.00%
发文量
45
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