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神经内科首都医科大学宣武医院
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.
基金:
NIH [AI129518, AI098112, AI069351, GM121174, EY028553, HL103411]; University at Buffalo CTSA Award [UL1TR001412]; University of Rochester CTSA Award [UL1TR002001]; Center of Protein Therapeutics Industrial Award
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
通讯作者:
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
推荐引用方式(GB/T 7714):
Shichen Shen,Bo An,Xue Wang,et al.Surfactant Cocktail-Aided Extraction/Precipitation/On-Pellet Digestion Strategy Enables Efficient and Reproducible Sample Preparation for Large-Scale Quantitative Proteomics[J].ANALYTICAL CHEMISTRY.2018,90(17):10350-10359.doi:10.1021/acs.analchem.8b02172.
APA:
Shichen Shen,Bo An,Xue Wang,Shannon P. Hilchey,Jun Li...&Jun Qu.(2018).Surfactant Cocktail-Aided Extraction/Precipitation/On-Pellet Digestion Strategy Enables Efficient and Reproducible Sample Preparation for Large-Scale Quantitative Proteomics.ANALYTICAL CHEMISTRY,90,(17)
MLA:
Shichen Shen,et al."Surfactant Cocktail-Aided Extraction/Precipitation/On-Pellet Digestion Strategy Enables Efficient and Reproducible Sample Preparation for Large-Scale Quantitative Proteomics".ANALYTICAL CHEMISTRY 90..17(2018):10350-10359