Effects of Heat Shock Treatment on Enzymatic Proteolysis for LC-MS/MS Quantitative Proteome Analysis

• Published in: Mass spectrometry letters Vol. 7; no. 1; pp. 1 - 11
• Main Authors: Albert Baskar Arul, Na Young Han, Young Su Jang, Hyojin Kim, Hwan Mook Kim, Hookeun Lee
• Format: Journal Article
• Language: English
• Published: 한국질량분석학회 01.03.2016; 사단법인 한국질량분석학회
• Subjects: 화학; mass spectrometry; Denaturation; proteolysis; Heat shock
• ISSN: 2233-4203; 2093-8950
• DOI: 10.5478/MSL.2016.7.1.1

Various efforts have been developed to improve sample preparation steps, which strongly depend on hands-on processes for accurate and sensitive quantitative proteome analysis. In this study, we carried out heating the sample prior to trypsin digestion using an instrument to improve the tryptic digestion process. The heat shock generated by the system efficiently denatured proteins in the sample and increased the reproducibility in quantitative proteomics based on peptide abundance measurements. To demonstrate the effectiveness of the protocol, three cell lines (A human lung cancer cell line (A549), a human embryonic kidney cell line (HEK293T), and a human colorectal cancer cell line (HCT-116)) were selected and the effect of heat shock was compared to that of normal tryptic digestion processes. The tryptic digests were desalted and analysed by LC-MS/MS, the results showed 57 and 36% increase in the number of identified unique peptides and proteins, respectively, than conventional digestion. Heat shock treated samples showed higher numbers of shorter peptides and peptides with low inter-sample variation among triplicate runs. Quantitative LC-MS/MS analysis of heat shock treated sample yielded peptides with smaller relative error percentage for the triplicate run when the peak areas were compared. Exposure of heat-shock to proteomic samples prior to proteolysis in conventional digestion process can increase the digestion efficiency of trypsin resulting in production of increased number of peptides eventually leading to higher proteome coverage. KCI Citation Count: 0