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使用基于TMT的定量蛋白质组学方法研究自噬

Studying Autophagy Using a TMT-Based Quantitative Proteomics Approach.

作者信息

Sharma Kiran Bala, Aggarwal Suruchi, Yadav Amit Kumar, Vrati Sudhanshu, Kalia Manjula

机构信息

Regional Centre for Biotechnology, NCR Biotech Science Cluster, Faridabad, Haryana, India.

Translational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.

出版信息

Methods Mol Biol. 2022;2445:183-203. doi: 10.1007/978-1-0716-2071-7_12.

Abstract

Maintenance of cellular homeostasis through regulated degradation of proteins and organelles is a defining feature of autophagy. This process itself is tightly regulated in a series of well-defined biochemical reactions governed largely by the highly conserved ATG protein family. Given its crucial role in regulating protein levels under both basal and stress conditions such as starvation and infection, genetic or pharmacological perturbation of autophagy results in massive changes in the cellular proteome and impacts nearly every biological process. Therefore, studying autophagy perturbations at a global scale assumes prime importance. In recent years, quantitative mass spectrometry (MS)-based proteomics has emerged as a powerful approach to explore biological processes through global proteome quantification analysis. Tandem mass tag (TMT)-based MS proteomics is one such robust quantitative technique that can examine relative protein abundances in multiple samples (parallel multiplexing). Investigating autophagy through TMT-based MS approach can give great insights into autophagy-regulated biological processes, protein-protein interaction networks, spatiotemporal protein dynamics, and identification of new autophagy substrates. This chapter provides a detailed protocol for studying the impact of a dysfunctional autophagy pathway on the cellular proteome and pathways in a healthy vs. disease (virus infection) condition using a 16-plex TMT-based quantitative proteomics approach. We also provide a pipeline on data processing and analysis using available web-based tools.

摘要

通过对蛋白质和细胞器进行调控性降解来维持细胞内稳态是自噬的一个关键特征。这一过程本身在一系列明确的生化反应中受到严格调控,这些反应主要由高度保守的自噬相关(ATG)蛋白家族控制。鉴于自噬在基础条件以及饥饿和感染等应激条件下调节蛋白质水平方面的关键作用,自噬的遗传或药理学干扰会导致细胞蛋白质组发生巨大变化,并影响几乎所有生物过程。因此,在全球范围内研究自噬干扰至关重要。近年来,基于定量质谱(MS)的蛋白质组学已成为一种通过全球蛋白质组定量分析来探索生物过程的强大方法。基于串联质量标签(TMT)的MS蛋白质组学就是这样一种强大的定量技术,它可以检测多个样品中的相对蛋白质丰度(平行多重分析)。通过基于TMT的MS方法研究自噬,可以深入了解自噬调节的生物过程、蛋白质 - 蛋白质相互作用网络、时空蛋白质动态以及新自噬底物的鉴定。本章提供了一个详细的实验方案,用于使用基于16重TMT的定量蛋白质组学方法研究功能失调的自噬途径在健康与疾病(病毒感染)状态下对细胞蛋白质组和通路的影响。我们还提供了一个使用现有基于网络的工具进行数据处理和分析的流程。

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