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Surfactant Cocktail-Aided Extraction/Precipitation/On-Pellet Digestion Strategy Enables Efficient and Reproducible Sample Preparation for Large-Scale Quantitative Proteomics

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机构: [1]Department of Pharmaceutical Sciences, SUNY at Buffalo, Buffalo, NY 14214 [2]New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, Buffalo, NY 14203 [3]Roswell Park Cancer Institute, Buffalo, NY, Buffalo, NY 14263 [4]Division of Nephrology, University of Rochester Medical Center, Rochester, NY 14642 [5]National Institute for Food and Drug Control, Beijing, China 100050 [6]AbbVie Bioresearch Center Inc., Worcester, MA 01605 [7]School of Dental Medicine, SUNY at Buffalo, Buffalo, NY 14214 [8]Department of Neurology, XuanWu Hospital, Capital University of Medicine, Beijing, China 100053
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For quantitative proteomics, efficient, robust, and reproducible sample preparation with high throughput is critical yet challenging, especially when large cohorts are involved, as is often required by clinical/pharmaceutical studies. We describe a rapid and straightforward surfactant cocktail-aided extraction/precipitation/on-pellet digestion (SEPOD) strategy to address this need. Prior to organic solvent precipitation and on-pellet digestion, SEPOD treats samples with a surfactant cocktail (SC) containing multiple nonionic/anionic surfactants, which achieves (i) exhaustive/reproducible protein extraction, including membrane-bound proteins; (ii) effective removal of detrimental nonprotein matrix components (e.g., >94% of phospholipids); (iii) rapid/efficient proteolytic digestion owing to dual (surfactants + precipitation) denaturation. The optimal SC composition and concentrations were determined by Orthogonal-Array-Design investigation of their collective/individuals effects on protein extraction/denaturation. Key parameters for cleanup and digestion were experimentally identified as well. The optimized SEPOD procedures allowed a rapid 6 h digestion providing a clean digest with high peptide yields and excellent quantitative reproducibility (especially low-abundance proteins). Compared with filter-assisted sample preparation (FASP) and in-solution digestion, SEPOD showed superior performance by recovering substantially more peptide/proteins (including integral membrane proteins), yielding significantly higher peptide intensities and improving quantification for peptides with extreme physicochemical properties. SEPOD was further applied in a large-cohort temporal investigation of 44 IAV-infected mouse lungs, providing efficient and reproducible peptide yields (77.9 +/- 4.6%) across all samples. With the IonStar pipeline, >6 400 unique protein groups were quantified (>= 2 peptide/protein, peptide-FDR < 0.05%), similar to 99% without missing data in any sample with <7% technical median-intragroup CV. Altered proteome patterns revealed interesting novel insights into pathophysiological changes by IAV infection. In summary, SEPOD offers a feasible solution for rapid, efficient, and reproducible preparation of biological samples, facilitating high-quality proteomic quantification of large sample cohorts.

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出版当年[2017]版:
大类 | 1 区 化学
小类 | 1 区 分析化学
最新[2023]版:
大类 | 1 区 化学
小类 | 1 区 分析化学
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出版当年[2016]版:
Q1 CHEMISTRY, ANALYTICAL
最新[2023]版:
Q1 CHEMISTRY, ANALYTICAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2016版] 出版当年五年平均 出版前一年[2015版] 出版后一年[2017版]

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第一作者机构: [1]Department of Pharmaceutical Sciences, SUNY at Buffalo, Buffalo, NY 14214 [2]New York State Center of Excellence in Bioinformatics & Life Sciences, Buffalo, NY, Buffalo, NY 14203
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通讯机构: [*1]Department of Neurology, XuanWu Hospital, Capital University of Medicine, 45 Changchun Street, Beijing, China 100053 [*2]Division of Nephrology, Strong Memorial Hospital 601 Elmwood Ave, AC-3 University of Rochester Medical Center, Rochester, NY 14642 [*3]Department of Pharmaceutical Sciences, 318 Kapoor Hall, State University of New York at Buffalo, Buffalo, NY 14214-1200
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