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利用 LC-四极杆-轨道阱质谱仪进行数据非依赖采集的超快蛋白质组学优化。

Optimization of Ultrafast Proteomics Using an LC-Quadrupole-Orbitrap Mass Spectrometer with Data-Independent Acquisition.

机构信息

Laboratory of Clinical Omics Research, Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.

Institute for Human Life Innovatiaon, Ochanomizu University, Bunkyo-ku, Tokyo 112-8610, Japan.

出版信息

J Proteome Res. 2022 Sep 2;21(9):2085-2093. doi: 10.1021/acs.jproteome.2c00121. Epub 2022 Aug 1.

DOI:10.1021/acs.jproteome.2c00121
PMID:35914019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9442788/
Abstract

Proteomics has become an increasingly important tool in medical and medicinal applications. It is necessary to improve the analytical throughput for these applications, particularly in large-scale drug screening to enable measurement of a large number of samples. In this study, we aimed to establish an ultrafast proteomic method based on 5-min gradient LC and quadrupole-Orbitrap mass spectrometer (Q-Orbitrap MS). We precisely optimized data-independent acquisition (DIA) parameters for 5-min gradient LC and reached a depth of >5000 and 4200 proteins from 1000 and 31.25 ng of HEK293T cell digest in a single-shot run, respectively. The throughput of our method enabled the measurement of approximately 80 samples/day, including sample loading, column equilibration, and wash running time. We demonstrated that our method is applicable for the screening of chemical responsivity via a cell stimulation assay. These data show that our method enables the capture of biological alterations in proteomic profiles with high sensitivity, suggesting the possibility of large-scale screening of chemical responsivity.

摘要

蛋白质组学已成为医学和药物应用中越来越重要的工具。对于这些应用,特别是在大规模药物筛选中,需要提高分析通量,以实现对大量样本的测量。在本研究中,我们旨在建立一种基于 5 分钟梯度 LC 和四极杆-Orbitrap 质谱仪(Q-Orbitrap MS)的超快蛋白质组学方法。我们精确优化了 5 分钟梯度 LC 的数据非依赖性采集(DIA)参数,单次运行中分别从 1000 和 31.25ng 的 HEK293T 细胞消化物中获得了 >5000 和 4200 种蛋白质。我们方法的通量可实现约 80 个样本/天的测量,包括样品加载、柱平衡和冲洗运行时间。我们证明了我们的方法适用于通过细胞刺激测定筛选化学反应性。这些数据表明,我们的方法能够以高灵敏度捕获蛋白质组图谱中的生物学变化,提示有可能进行大规模的化学反应性筛选。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/0a41d7385ff7/pr2c00121_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/89dc0c2b0a18/pr2c00121_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/d18164561e8d/pr2c00121_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/db6f8e040765/pr2c00121_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/2aeccb9e49d9/pr2c00121_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/0a41d7385ff7/pr2c00121_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/89dc0c2b0a18/pr2c00121_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/d18164561e8d/pr2c00121_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/db6f8e040765/pr2c00121_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/2aeccb9e49d9/pr2c00121_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/119a/9442788/0a41d7385ff7/pr2c00121_0006.jpg

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