Guojin Ying, Yu He, Mengqing Yang, Gang Lu, Yang Li, Wei Cui, Zhengyan Hu, Zhenbin Zhang
{"title":"A Fast, High-Sensitivity 96-Well Plate-Based MICROFASP Method for Processing Low Microgram Proteomics Sample within 1.5 h","authors":"Guojin Ying, Yu He, Mengqing Yang, Gang Lu, Yang Li, Wei Cui, Zhengyan Hu, Zhenbin Zhang","doi":"10.1021/acs.analchem.4c04857","DOIUrl":null,"url":null,"abstract":"A rapid, sensitive, and high-throughput sample preparation method is of paramount significance for proteomics analysis. Here, we report a fast, high-sensitivity MICROFASP method that is capable of completing sample preparation within 1.5 h, enhancing the throughput by over 13 times compared to the previous reports. Protein digestion time was significantly cut from 17 h to 20 min in a limited volume. Simultaneous reduction and alkylation occurred within 30 min. The label-free quantitation intensities of proteins from the fast and conventional MICROFASP methods were highly correlated (<i>r</i> = 0.91), validating the reliability of the fast-MICROFASP method. When starting with 1 μg of K562 cell lysate, the fast-MICROFASP method identified over 6 times more protein groups and 19 times more peptides than did the iST method. A 96-well plate-based version was developed to process 8 brain tissue samples from APP/PS1 transgenic mice in parallel. Averagely, with only 1 μg of protein lysate, 2826 protein groups (<i>n</i> = 8, RSD = 0.7%) and 12,972 peptides (<i>n</i> = 8, RSD = 1.5%) were identified from each sample. Amyloid-beta protein was successfully identified as a highly expressed protein, which shows its potential for detecting diagnostic markers and proteome profiling with low-microgram samples. We anticipate the high-sensitivity 96-well plate-based fast-MICROFASP method will have wide application in high-throughput and rapid preparation of large cohorts of low-microgram samples (e.g., clinical biopsy) for comprehensive proteome profiling. Data are available via ProteomeXchange with the identifier PXD053720.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"38 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.4c04857","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
A rapid, sensitive, and high-throughput sample preparation method is of paramount significance for proteomics analysis. Here, we report a fast, high-sensitivity MICROFASP method that is capable of completing sample preparation within 1.5 h, enhancing the throughput by over 13 times compared to the previous reports. Protein digestion time was significantly cut from 17 h to 20 min in a limited volume. Simultaneous reduction and alkylation occurred within 30 min. The label-free quantitation intensities of proteins from the fast and conventional MICROFASP methods were highly correlated (r = 0.91), validating the reliability of the fast-MICROFASP method. When starting with 1 μg of K562 cell lysate, the fast-MICROFASP method identified over 6 times more protein groups and 19 times more peptides than did the iST method. A 96-well plate-based version was developed to process 8 brain tissue samples from APP/PS1 transgenic mice in parallel. Averagely, with only 1 μg of protein lysate, 2826 protein groups (n = 8, RSD = 0.7%) and 12,972 peptides (n = 8, RSD = 1.5%) were identified from each sample. Amyloid-beta protein was successfully identified as a highly expressed protein, which shows its potential for detecting diagnostic markers and proteome profiling with low-microgram samples. We anticipate the high-sensitivity 96-well plate-based fast-MICROFASP method will have wide application in high-throughput and rapid preparation of large cohorts of low-microgram samples (e.g., clinical biopsy) for comprehensive proteome profiling. Data are available via ProteomeXchange with the identifier PXD053720.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.