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High-Throughput Workflow for Detergent-free Cell-Based Proteomic Characterization

吞吐量 工作流程 蛋白质组学 化学 计算机科学 计算生物学 生物化学 生物 数据库 操作系统 基因 无线
作者
Saeed Seyedmohammad,Alejandro Rivas,Maxim Zhgamadze,Ali Haghani,Simion Kreimer,Ajay Bharadwaj,Niveda Sundararaman,Sameer Vasantgadkar,Kasturi Pal,Eugenio Daviso,Aleksandr Stotland,Christopher W. Murray,Koen Raedschelders,Sudha S. Savant,Jennifer E. Van Eyk
出处
期刊:Journal of Proteome Research [American Chemical Society]
标识
DOI:10.1021/acs.jproteome.4c00892
摘要

We have developed an automated cell-based workflow for the quantification of proteins by liquid chromatography-mass spectrometry (LC-MS) that facilitates large-scale perturbation studies carried out in a 96-well plate format and enables the preparation of one full plate in approximately 4 h, showcasing a high-throughput (HTP) concept. Cells were grown in a 96-well plate and lysed via ultrasonication. Proteins were subsequently solubilized, extracted, and processed into tryptic peptides for 2 h before being acquired by data-independent acquisition mass spectrometry (DIA-MS). This workflow leverages adaptive focused acoustics (AFA) technology for ultrasonication to aid cell lysis and protein solubilization on an automated liquid handling platform. As proof of principle, AC16 human cardiomyocyte-like cells were cultured in a 96-well plate under optimized conditions that were compatible with the downstream HTP pipeline. Over 30,000 peptides were identified, corresponding to the detection of 5100 unique proteins. 50% of measured proteins had an average coefficient of variation (CV) under 25% from approximately 30,000 cells. Our optimized detergent-free buffer consisting of ammonium bicarbonate yielded comparable findings. For the same number of cells, 5000 proteins were identified from 29,000 peptides, 40% of which demonstrated a CV under 25%.
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