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涵盖不同等重标记和数据采集策略的小鼠(磷酸化)肽简编。

A Compendium of Murine (Phospho)Peptides Encompassing Different Isobaric Labeling and Data Acquisition Strategies.

机构信息

Department of Cancer Biology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts 02115, United States.

Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States.

出版信息

J Proteome Res. 2021 Jul 2;20(7):3678-3688. doi: 10.1021/acs.jproteome.1c00247. Epub 2021 May 27.

DOI:10.1021/acs.jproteome.1c00247
PMID:34043369
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8254770/
Abstract

Targeted mass spectrometry-based assays typically rely on previously acquired large data sets for peptide target selection. Such repositories are widely available for unlabeled peptides. However, they are less common for isobaric tagged peptides. Here we have assembled two series of six data sets originating from a mouse embryonic fibroblast cell line (NIH/3T3). One series is of peptides derived from a tryptic digest of a whole cell proteome and a second from enriched phosphopeptides. These data sets encompass three labeling approaches (unlabeled, TMT11-labeled, and TMTpro16-labeled) and two data acquisition strategies (ion trap MS2 with and without FAIMS-based gas phase separation). We identified a total of 1 509 526 peptide-spectrum matches which covered 11 482 proteins from the whole cell proteome tryptic digest, and 188 849 phosphopeptides from the phosphopeptide enrichment. The data sets were of similar depth, and while overlap across data sets was modest, protein overlap was high, thus reinforcing the comprehensiveness of these data sets. The data also supported FAIMS as a means to increase data set depth. These data sets provide a rich resource of peptides that may be used as starting points for targeted assays. Future data sets may be compiled for any genome-sequenced organism using the technologies and strategies highlighted herein. The data have been deposited in the ProteomeXchange Consortium with data set identifier PXD024298.

摘要

基于靶向质谱的分析通常依赖于先前获得的肽靶选择的大型数据集。这些存储库广泛可用于未标记的肽。然而,对于等压标记的肽则较少见。在这里,我们汇集了源自小鼠胚胎成纤维细胞系(NIH/3T3)的两个六组数据集。一组来自整个细胞蛋白质组的胰蛋白酶消化物衍生的肽,另一组来自富集的磷酸肽。这些数据集涵盖了三种标记方法(未标记、TMT11 标记和 TMTpro16 标记)和两种数据采集策略(带有和不带有 FAIMS 基气相分离的离子阱 MS2)。我们总共鉴定了 1,509,526 个肽-谱匹配,涵盖了整个细胞蛋白质组胰蛋白酶消化物中 11,482 种蛋白质和磷酸肽富集物中的 188,849 个磷酸肽。这些数据集具有相似的深度,尽管数据集之间的重叠程度不大,但蛋白质的重叠程度很高,从而增强了这些数据集的全面性。这些数据还支持 FAIMS 作为增加数据集深度的一种手段。这些数据集提供了丰富的肽资源,可作为靶向分析的起点。未来的数据集可以使用本文中突出显示的技术和策略为任何基因组测序的生物体编译。这些数据已在 ProteomeXchange 联盟中以数据集标识符 PXD024298 进行了存储。

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