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用于寻找早期复发性肝细胞癌生物标志物的全球蛋白质组图谱分析

Global PROTOMAP profiling to search for biomarkers of early-recurrent hepatocellular carcinoma.

作者信息

Taoka Masato, Morofuji Noriaki, Yamauchi Yoshio, Ojima Hidenori, Kubota Daisuke, Terukina Goro, Nobe Yuko, Nakayama Hiroshi, Takahashi Nobuhiro, Kosuge Tomoo, Isobe Toshiaki, Kondo Tadashi

机构信息

Department of Chemistry, Graduate School of Sciences and Engineering, Tokyo Metropolitan University , Minamiosawa 1-1, Hachioji-shi, Tokyo 192-0397, Japan.

出版信息

J Proteome Res. 2014 Nov 7;13(11):4847-58. doi: 10.1021/pr500262p. Epub 2014 Jul 7.

Abstract

This study used global protein expression profiling to search for biomarkers to predict early recurrent hepatocellular carcinoma (HCC). HCC tissues surgically resected from patients with or without recurrence within 2 years (early recurrent) after surgery were compared with adjacent nontumor tissue and with normal liver tissue. We used the PROTOMAP strategy for comparative profiling, which integrates denaturing polyacrylamide gel electrophoresis migratory rates and high-resolution, semiquantitative mass-spectrometry-based identification of in-gel-digested tryptic peptides. PROTOMAP allows examination of global changes in the size, topography, and abundance of proteins in complex tissue samples. This approach identified 8438 unique proteins from 45 708 nonredundant peptides and generated a proteome-wide map of changes in expression and proteolytic events potentially induced by intrinsic apoptotic/necrotic pathways. In the early recurrent HCC tissue, 87 proteins were differentially expressed (≥20-fold) relative to the other tissues, 46 of which were up-regulated or specifically proteolyzed and 41 of which were down-regulated. This data set consisted of proteins that fell into various functional categories, including signal transduction and cell organization and, notably, the major catalytic pathways responsible for liver function, such as the urea cycle and detoxification metabolism. We found that aberrant proteolysis appeared to occur frequently during recurrence of HCC in several key signal transducers, including STAT1 and δ-catenin. Further investigation of these proteins will facilitate the development of novel clinical applications.

摘要

本研究采用全球蛋白质表达谱分析来寻找预测早期复发性肝细胞癌(HCC)的生物标志物。将术后2年内有或无复发(早期复发)的患者手术切除的HCC组织与相邻的非肿瘤组织及正常肝组织进行比较。我们使用PROTOMAP策略进行比较分析,该策略整合了变性聚丙烯酰胺凝胶电泳迁移率以及基于高分辨率、半定量质谱的胶内消化胰蛋白酶肽段鉴定。PROTOMAP能够检测复杂组织样本中蛋白质的大小、拓扑结构和丰度的整体变化。这种方法从45708个非冗余肽段中鉴定出8438种独特蛋白质,并生成了一张全蛋白质组图谱,展示了可能由内在凋亡/坏死途径诱导的表达变化和蛋白水解事件。在早期复发性HCC组织中,相对于其他组织,有87种蛋白质差异表达(≥20倍),其中46种上调或特异性蛋白水解,41种下调。该数据集包含属于各种功能类别的蛋白质,包括信号转导和细胞组织,尤其是负责肝功能的主要催化途径,如尿素循环和解毒代谢。我们发现,在HCC复发期间,包括信号转导和转录激活因子1(STAT1)和δ-连环蛋白在内的几种关键信号转导分子中似乎经常发生异常蛋白水解。对这些蛋白质的进一步研究将有助于开发新的临床应用。

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