Multiplex Biomarker Screening Assay for Urinary Extracellular Vesicles Study: A Targeted Label-Free Proteomic Approach.
Multiplex Biomarker Screening Assay for Urinary Extracellular Vesicles Study: A Targeted Label-Free Proteomic Approach.
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DOI：
10.1038/s41598-018-33280-7
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发表时间：
2018-10-09
影响因子：
4.6
通讯作者：
Greis KD
中科院分区：
文献类型：
--
作者：
Chutipongtanate S;Greis KD
靶向无标记蛋白质组学（SWATH-MS）的最新进展，可以提供一致的蛋白质检测和可重复的蛋白质定量，这对尿细胞外囊泡的生物标志物研究具有相当大的优势。我们开发了SWATH-MS工作流程，其中包含1145个目标的精心策划的光谱库。在三种样品类型（外泌体样囊泡（ELVs）、微囊泡（mv）和尿蛋白（UPs））的9个重复中应用该工作流程，在FDR <1%的情况下定量了888种蛋白质。ELV样品中888个蛋白的变异系数中位数为7.7%，重复性好。数据分析显示，与mv和UPs相比，尿ELVs中常见的外泌体标志物（即CD9、CD63、ALIX、TSG101和HSP70）富集。研究了以elv为重点的多重生物标志物筛选试验的使用，并讨论了未来应用的前景。
The recent advance in targeted label-free proteomics, SWATH-MS, can provide consistent protein detection and reproducible protein quantitation, which is a considerable advantage for biomarker study of urinary extracellular vesicles. We developed a SWATH-MS workflow with a curated spectral library of 1,145 targets. Application of the workflow across nine replicates of three sample types (exosome-like vesicles (ELVs), microvesicles (MVs) and urine proteins (UPs)) resulted in the quantitation of 888 proteins at FDR <1%. The median-coefficient of variation of the 888 proteins in the ELV sample was 7.7%, indicating excellent reproducibility. Data analysis showed common exosome markers, (i.e. CD9, CD63, ALIX, TSG101 and HSP70) were enriched in urinary ELVs as compared to MVs and UPs. The use of a multiplex biomarker screening assay focused on ELVs was investigated, and perspectives in future applications are discussed.
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影响因子：
16
作者：
Lötvall J;Hill AF;Hochberg F;Buzás EI;Di Vizio D;Gardiner C;Gho YS;Kurochkin IV;Mathivanan S;Quesenberry P;Sahoo S;Tahara H;Wauben MH;Witwer KW;Théry C
通讯作者：
Théry C
DOI：
10.1016/j.ijrobp.2016.06.008
发表时间：
2016-11-01
影响因子：
7
作者：
Kulkarni, Shilpa;Koller, Antonius;Mani, Kartik M.;Wen, Ruofeng;Alfieri, Alan;Saha, Subhrajit;Wang, Jian;Patel, Purvi;Bandeira, Nuno;Guha, Chandan;Chen, Emily I.
通讯作者：
Chen, Emily I.
影响因子：
5
作者：
Pomatto MAC;Gai C;Bussolati B;Camussi G
通讯作者：
Camussi G
影响因子：
3.8
作者：
Bennett MR;Pleasant L;Haffner C;Ma Q;Haffey WD;Ying J;Wagner M;Greis KD;Devarajan P
通讯作者：
Devarajan P
影响因子：
4.6
作者：
Nakai W;Yoshida T;Diez D;Miyatake Y;Nishibu T;Imawaka N;Naruse K;Sadamura Y;Hanayama R
通讯作者：
Hanayama R