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Peptidome profiling dataset of ovarian cancer and non-cancer proximal fluids: Ascites and blood sera

机译:卵巢癌和非癌性近端液体的肽组分析数据集:腹水和血液血清

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摘要

Despite a large number of proteomic studies of biological fluids from ovarian cancer patients, there is a lack of sensitive screening methods in clinical practice (Kim et al., 2016) (DOI:). Low molecular weight endogenous peptides more easily diffuse across endothelial barriers than proteins and can be more relevant biomarker candidates (Meo et al., 2016) (DOI:, (Bery et al., 2014) DOI:, (Huang et al., 2018) DOI:). Detailed peptidomic analysis of 26 ovarian cancer and 15 non-cancer samples of biological fluids (ascites and sera) were performed using TripleTOF 5600+ mass-spectrometer. Prior to LC-MS/MS analysis, peptides were extracted from biological fluids using anion exchange sorbent with subsequent peptide desorption from the surface of highly abundant proteins. In total, we identified 4874 peptides; 3123 peptides were specific for the ovarian cancer samples. The mass-spectrometry peptidomics data presented in this data article have been deposited to the ProteomeXchange Consortium (Deutsch et al., 2017) (DOI:) via the PRIDE partner repository with the dataset identifier and , .
机译:尽管对卵巢癌患者的生物体液进行了蛋白质组学研究,但临床实践中仍缺乏灵敏的筛查方法(Kim等人,2016)(DOI :)。低分子量内源性肽比蛋白质更易于扩散穿过内皮屏障,并且可能是更相关的生物标志物候选物(Meo等人,2016)(DOI :,(Bery等人,2014)DOI :,(Huang等人,2018) )DOI :)。使用TripleTOF 5600+质谱仪对26种卵巢癌和15种非癌性生物体液(腹水和血清)进行了详细的肽组分析。在进行LC-MS / MS分析之前,使用阴离子交换吸附剂从生物液中提取肽,然后从高度丰富的蛋白质表面解吸肽。我们总共鉴定了4874个肽段; 3123肽对卵巢癌样品具有特异性。本数据文章中提供的质谱肽组学数据已通过PRIDE合作伙伴存储库(数据集标识符为和)存放到ProteomeXchange联盟(Deutsch等,2017)(DOI :)。

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