Comparative Analysis of Protein Folding Stability-Based Profiling Methods for Characterization of Biological Phenotypes

化学 计算生物学 表征(材料科学) 蛋白质折叠 蛋白质稳定性 仿形(计算机编程) 生物化学 色谱法 纳米技术 生物 计算机科学 操作系统 材料科学
作者
Morgan A. Bailey,Yun Tang,Hye-Jin Park,Michael C. Fitzgerald
出处
期刊:Journal of the American Society for Mass Spectrometry [American Chemical Society]
卷期号:34 (3): 383-393 被引量:7
标识
DOI:10.1021/jasms.2c00248
摘要

Recently, a new suite of mass spectrometry-based proteomic methods has been developed that enables evaluation of protein folding stability on the proteomic scale. These methods utilize chemical and thermal denaturation approaches (SPROX and TPP, respectively) as well as proteolysis strategies (DARTS, LiP, and PP) to assess protein folding stability. The analytical capabilities of these technique have been well-established for protein target discovery applications. However, less is known about the relative advantages and disadvantages of using these different strategies to characterize biological phenotypes. Reported here is a comparative study of SPROX, TPP, LiP, and conventional protein expression level measurements using both a mouse model of aging and a mammalian cell culture model of breast cancer. Analyses on proteins in brain tissue cell lysates derived from 1- and 18-month-old mice (n = 4–5 at each time point) and on proteins in cell lysates derived from the MCF-7 and MCF-10A cell lines revealed a majority of the differentially stabilized protein hits in each phenotype analysis had unchanged expression levels. In both phenotype analyses, TPP generated the largest number and fraction of differentially stabilized protein hits. Only a quarter of all the protein hits identified in each phenotype analysis had a differential stability that was detected using multiple techniques. This work also reports the first peptide-level analysis of TPP data, which was required for the correct interpretation of the phenotype analyses performed here. Studies on selected protein stability hits also uncovered phenotype-related functional changes.
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