Seyedmohammad Saeed, Rivas Alejandro, Zhgamadze Maxim, Haghani Ali, Kreimer Simion, Bharadwaj Ajay, Sundararaman Niveda, Vasantgadkar Sameer, Pal Kasturi, Daviso Eugenio, Stotland Aleksandr, Murray Chris, Raedschelders Koen, Savant Sudha, Van Eyk Jennifer E
Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical 7 Center, 8700 Beverly Blvd, Los Angeles 90048, California, United States.
Covaris LLC., 14 Gill St Unit H, Woburn 01801-1721, Massachusetts, United States.
J Proteome Res. 2025 Aug 1;24(8):3762-3773. doi: 10.1021/acs.jproteome.4c00892. Epub 2025 Apr 21.
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%.
我们开发了一种基于细胞的自动化工作流程,用于通过液相色谱-质谱联用(LC-MS)对蛋白质进行定量分析,该流程便于以96孔板形式开展大规模扰动研究,并能在约4小时内制备一整板样本,展示了一种高通量(HTP)概念。细胞在96孔板中培养,通过超声处理进行裂解。随后将蛋白质溶解、提取并处理成胰蛋白酶肽,持续2小时,然后通过数据非依赖采集质谱(DIA-MS)进行采集。此工作流程利用自适应聚焦声学(AFA)技术进行超声处理,以辅助在自动化液体处理平台上进行细胞裂解和蛋白质溶解。作为原理验证,AC16人心肌样细胞在与下游高通量流程兼容的优化条件下,在96孔板中培养。鉴定出了超过30,000种肽段,对应检测到5100种独特蛋白质。在约30,000个细胞中,50%被测蛋白质的平均变异系数(CV)低于25%。我们优化的不含去污剂的碳酸氢铵缓冲液也得出了类似结果。对于相同数量的细胞,从29,000种肽段中鉴定出5000种蛋白质,其中40%的变异系数低于25%。