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通过数据非依赖性采集提高胃癌低分子量血清蛋白质组分析。

Improved profiling of low molecular weight serum proteome for gastric carcinoma by data-independent acquisition.

机构信息

The Central Laboratory, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.

Department of Gastrointestinal Surgery, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.

出版信息

Anal Bioanal Chem. 2022 Sep;414(22):6403-6417. doi: 10.1007/s00216-022-04196-z. Epub 2022 Jun 30.

DOI:10.1007/s00216-022-04196-z
PMID:35773495
Abstract

Low molecular weight proteins (LMWPs) in the bloodstream participate in various biological processes and are closely associated with disease status, whereas identification of serous LMWPs remains a great technical challenge due to the wide dynamic range of protein components. In this study, we constructed an integrated LMWP library by combining the LMWPs obtained by three enrichment methods (50% ACN, 20% ACN + 20 mM ABC, and 30 kDa) and their fractions identified by the data-dependent acquisition method. With this newly constructed library, we comprehensively profiled LMWPs in serum using data-independent acquisition and reliably achieved quantitative results for 75% serous LMWPs. When applying this strategy to quantify LMWPs in human serum samples, we could identify 405 proteins on average per sample, of which 136 proteins were with a MW less than 30 kDa and 293 proteins were with a MW less than 65 kDa. Of note, pre- and post-operative gastric carcinoma (GC) patients showed differentially expressed serous LWMPs, which was also different from the pattern of LWMP expression in healthy controls. In conclusion, our results showed that LMWPs could efficiently distinguish GC patients from healthy controls as well as between pre- and post-operative statuses, and more importantly, our newly developed LMWP profiling platform could be used to discover candidate LMWP biomarkers for disease diagnosis and status monitoring.

摘要

血液中的低分子量蛋白质(LMWP)参与各种生物过程,与疾病状态密切相关,然而,由于蛋白质成分的动态范围很广,因此鉴定血清中的 LMWP 仍然是一个巨大的技术挑战。在本研究中,我们通过结合三种富集方法(50%ACN、20%ACN+20mMABC 和 30kDa)获得的 LMWP 以及通过数据依赖型采集方法鉴定的其馏分,构建了一个综合的 LMWP 文库。利用这个新构建的文库,我们使用非依赖性数据采集方法全面分析了血清中的 LMWP,并可靠地实现了 75%血清 LMWP 的定量结果。当将这种策略应用于定量人血清样本中的 LMWP 时,我们平均每个样本可以鉴定出 405 种蛋白质,其中 136 种蛋白质的分子量小于 30kDa,293 种蛋白质的分子量小于 65kDa。值得注意的是,术前和术后胃癌(GC)患者表现出不同的血清 LWMP 表达模式,这与健康对照者的 LWMP 表达模式也不同。总之,我们的结果表明,LMWP 可以有效地将 GC 患者与健康对照者以及术前和术后状态区分开来,更重要的是,我们新开发的 LMWP 分析平台可用于发现疾病诊断和状态监测的候选 LMWP 生物标志物。

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本文引用的文献

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LRG1 mediated by ATF3 promotes growth and angiogenesis of gastric cancer by regulating the SRC/STAT3/VEGFA pathway.ATF3 通过调控 SRC/STAT3/VEGFA 通路促进 LRG1 介导的胃癌生长和血管生成。
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