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用于作为光谱库和蛋白质建模的人泪液蛋白质组数据集。

Human tear fluid proteome dataset for usage as a spectral library and for protein modeling.

作者信息

Guntermann Annika, Steinbach Simone, Serschnitzki Bettina, Grotegut Pia, Reinehr Sabrina, Joachim Stephanie C, Schargus Marc, Marcus Katrin, May Caroline

机构信息

Medizinisches Proteom-Center, Ruhr-University Bochum, Bochum, Germany.

Experimental Eye Research, University Eye Hospital, Ruhr-University Bochum, Bochum, Germany.

出版信息

Data Brief. 2019 Mar 7;23:103742. doi: 10.1016/j.dib.2019.103742. eCollection 2019 Apr.

Abstract

This article provides a detailed dataset of human tear fluid proteins. Samples were fractionated by sodium dodecyl sulfate (SDS) gel electrophoresis resulting in 48 fractions that were spiked with an indexed retention time (iRT) peptide standard. These data are based on a data-dependent acquisition (DDA) mass spectrometric approach and can be used for example as a spectral library for tear fluid proteome analysis by data-independent acquisition (DIA). Moreover, the provided data set can be used with optimized HPLC and mass spectrometric settings for proteins/peptides of interest. Besides these aspects, this dataset can serve as a protein overview for gene ontology enrichment analysis and for modeling and benchmarking of multiple signaling pathways associated with the ocular surface in healthy or disease stages. The mass spectrometry proteomics data from the described workflow have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD011075.

摘要

本文提供了一份详细的人类泪液蛋白质数据集。样本通过十二烷基硫酸钠(SDS)凝胶电泳进行分级分离,得到48个级分,这些级分与索引保留时间(iRT)肽标准品混合。这些数据基于数据依赖型采集(DDA)质谱方法,例如可作为通过数据非依赖型采集(DIA)进行泪液蛋白质组分析的光谱库。此外,所提供的数据集可与针对感兴趣的蛋白质/肽优化的高效液相色谱和质谱设置一起使用。除了这些方面,该数据集还可作为蛋白质概述,用于基因本体富集分析以及对健康或疾病阶段与眼表相关的多种信号通路进行建模和基准测试。来自上述工作流程的质谱蛋白质组学数据已通过PRIDE合作伙伴存储库存入蛋白质组交换联盟,数据集标识符为PXD011075。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b276/6660621/7cb735781430/gr1.jpg

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