ABSTRACT

Introduction

With available genomic data and related information, it is becoming possible to better highlight mutations or genomic alterations associated with a particular disease or disorder. The advent of high-throughput sequencing technologies has greatly advanced diagnostics, prognostics, and drug development.

Areas covered

Peptidomics and proteogenomics are the two post-genomic technologies that enable the simultaneous study of peptides and proteins/transcripts/genes. Both technologies add a remarkably large amount of data to the pool of information on various peptides associated with gene mutations or genome remodeling. Literature search was performed in the PubMed database and is up to date.

Expert Opinion

This article lists various techniques used for peptidomic and proteogenomic analyses. It also explains various bioinformatics workflows developed to understand differentially expressed peptides/proteins and their role in disease pathogenesis. Their role in deciphering disease pathways, cancer research, and biomarker discovery using biofluids is highlighted. Finally, the challenges and future requirements to overcome the current limitations for their effective clinical use are also discussed.

中文翻译：

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肽组学和蛋白质组学：背景、挑战和未来需求

摘要

介绍

利用可用的基因组数据和相关信息，可以更好地突出与特定疾病或病症相关的突变或基因组改变。高通量测序技术的出现极大地推进了诊断、预后和药物开发。

涵盖的领域

肽组学和蛋白质组学是两种后基因组技术，可以同时研究肽和蛋白质/转录物/基因。这两种技术都将大量数据添加到与基因突变或基因组重塑相关的各种肽的信息库中。文献检索在 PubMed 数据库中进行并且是最新的。

专家意见

本文列出了用于肽组学和蛋白质组学分析的各种技术。它还解释了为了解差异表达的肽/蛋白质及其在疾病发病机制中的作用而开发的各种生物信息学工作流程。强调了它们在使用生物流体破译疾病途径、癌症研究和生物标志物发现方面的作用。最后，还讨论了克服当前有效临床使用限制的挑战和未来要求。