热蛋白质组谱分析的实验和数据分析进展。

Experimental and data analysis advances in thermal proteome profiling.

机构信息

Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA.

Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA.

出版信息

Cell Rep Methods. 2024 Feb 26;4(2):100717. doi: 10.1016/j.crmeth.2024.100717.

Abstract

Method development for mass spectrometry (MS)-based thermal shift proteomic assays have advanced to probe small molecules with known and unknown protein-ligand interaction mechanisms and specificity, which is predominantly used in characterization of drug-protein interactions. In the discovery of target and off-target protein-ligand interactions, a thorough investigation of method development and their impact on the sensitivity and accuracy of protein-small molecule and protein-protein interactions is warranted. In this review, we discuss areas of improvement at each stage of thermal proteome profiling data analysis that includes processing of MS-based data, method development, and their effect on the overall quality of thermal proteome profiles. We also overview the optimization of experimental strategies and prioritization of an increased number of independent biological replicates over the number of evaluated temperatures.

摘要

基于质谱(MS)的热转移蛋白质组学分析方法的发展已经先进到可以探测具有已知和未知蛋白质-配体相互作用机制和特异性的小分子,这主要用于药物-蛋白质相互作用的表征。在靶蛋白和非靶蛋白-配体相互作用的发现中,有必要彻底研究方法的发展及其对蛋白质-小分子和蛋白质-蛋白质相互作用的灵敏度和准确性的影响。在这篇综述中,我们讨论了热蛋白质组图谱数据分析的每个阶段的改进领域,包括基于 MS 的数据处理、方法的发展,以及它们对热蛋白质组图谱整体质量的影响。我们还概述了实验策略的优化,并将增加的独立生物学重复次数优先于评估温度的数量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95d/10921035/0854e623d9ef/gr1.jpg

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