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利用与WiMT数据库对接的单Shot蛋白质组学技术绘制黑色素瘤血浆蛋白质组图谱(MPP)

Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database.

作者信息

Almeida Natália, Rodriguez Jimmy, Pla Parada Indira, Perez-Riverol Yasset, Woldmar Nicole, Kim Yonghyo, Oskolas Henriett, Betancourt Lazaro, Valdés Jeovanis Gil, Sahlin K Barbara, Pizzatti Luciana, Szasz A Marcell, Kárpáti Sarolta, Appelqvist Roger, Malm Johan, B Domont Gilberto, C S Nogueira Fábio, Marko-Varga György, Sanchez Aniel

机构信息

Laboratory of Proteomics/LADETEC, Universidade Federal Do Rio de Janeiro, Rio de Janeiro 21941-598, Brazil.

Proteomics Unit, Institute of Chemistry, Universidade Federal Do Rio de Janeiro, Rio de Janeiro 21941-909, Brazil.

出版信息

Cancers (Basel). 2021 Dec 10;13(24):6224. doi: 10.3390/cancers13246224.

Abstract

Plasma analysis by mass spectrometry-based proteomics remains a challenge due to its large dynamic range of 10 orders in magnitude. We created a methodology for protein identification known as Wise MS Transfer (WiMT). Melanoma plasma samples from biobank archives were directly analyzed using simple sample preparation. WiMT is based on MS1 features between several MS runs together with custom protein databases for ID generation. This entails a multi-level dynamic protein database with different immunodepletion strategies by applying single-shot proteomics. The highest number of melanoma plasma proteins from undepleted and unfractionated plasma was reported, mapping >1200 proteins from >10,000 protein sequences with confirmed significance scoring. Of these, more than 660 proteins were annotated by WiMT from the resulting ~5800 protein sequences. We could verify 4000 proteins by MS1t analysis from HeLA extracts. The WiMT platform provided an output in which 12 previously well-known candidate markers were identified. We also identified low-abundant proteins with functions related to (i) cell signaling, (ii) immune system regulators, and (iii) proteins regulating folding, sorting, and degradation, as well as (iv) vesicular transport proteins. WiMT holds the potential for use in large-scale screening studies with simple sample preparation, and can lead to the discovery of novel proteins with key melanoma disease functions.

摘要

由于血浆的动态范围高达10个数量级,基于质谱的蛋白质组学血浆分析仍然是一项挑战。我们创建了一种名为Wise MS Transfer(WiMT)的蛋白质鉴定方法。使用简单的样品制备方法直接分析生物样本库档案中的黑色素瘤血浆样本。WiMT基于多个质谱运行之间的MS1特征以及用于生成鉴定结果的定制蛋白质数据库。这需要一个多层次的动态蛋白质数据库,通过应用单次蛋白质组学采用不同的免疫去除策略。报告了来自未去除和未分级血浆的黑色素瘤血浆蛋白的最高数量,从超过10,000个蛋白质序列中映射出>1200个蛋白质,并具有经确认的显著性评分。其中,WiMT从约5800个蛋白质序列中注释了超过660个蛋白质。我们可以通过对HeLa提取物的MS1t分析验证4000个蛋白质。WiMT平台提供的输出结果中鉴定出了12种先前已知的候选标志物。我们还鉴定出了低丰度蛋白质,其功能与(i)细胞信号传导、(ii)免疫系统调节剂、(iii)调节折叠、分选和降解的蛋白质以及(iv)囊泡运输蛋白有关。WiMT具有通过简单的样品制备用于大规模筛查研究的潜力,并可能导致发现具有关键黑色素瘤疾病功能的新蛋白质。

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