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Integrated Proteomic Profiling of Cell Line Conditioned Media and Pancreatic Juice for the Identification of Pancreatic Cancer Biomarkers

机译:细胞系条件培养基和胰液的综合蛋白质组学分析用于鉴定胰腺癌生物标志物

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摘要

Pancreatic cancer is one of the leading causes of cancer-related deaths, for which serological biomarkers are urgently needed. Most discovery-phase studies focus on the use of one biological source for analysis. The present study details the combined mining of pancreatic cancer-related cell line conditioned media and pancreatic juice for identification of putative diagnostic leads. Using strong cation exchange chromatography, followed by LC-MS/MS on an LTQ-Orbitrap mass spectrometer, we extensively characterized the proteomes of conditioned media from six pancreatic cancer cell lines (BxPc3, MIA-PaCa2, PANC1, CAPAN1, CFPAC1, and SU.86.86), the normal human pancreatic ductal epithelial cell line HPDE, and two pools of six pancreatic juice samples from ductal adenocarcinoma patients. All samples were analyzed in triplicate. Between 1261 and 2171 proteins were identified with two or more peptides in each of the cell lines, and an average of 521 proteins were identified in the pancreatic juice pools. In total, 3479 nonredundant proteins were identified with high confidence, of which ∼40% were extracellular or cell membrane-bound based on Genome Ontology classifications. Three strategies were employed for identification of candidate biomarkers: (1) examination of differential protein expression between the cancer and normal cell lines using label-free protein quantification, (2) integrative analysis, focusing on the overlap of proteins among the multiple biological fluids, and (3) tissue specificity analysis through mining of publically available databases. Preliminary verification of anterior gradient homolog 2, syncollin, olfactomedin-4, polymeric immunoglobulin receptor, and collagen alpha-1(VI) chain in plasma samples from pancreatic cancer patients and healthy controls using ELISA, showed a significant increase (p < 0.01) of these proteins in plasma from pancreatic cancer patients. The combination of these five proteins showed an improved area under the receiver operating characteristic curve to CA19.9 alone. Further validation of these proteins is warranted, as is the investigation of the remaining group of candidates.
机译:胰腺癌是癌症相关死亡的主要原因之一,因此迫切需要血清生物标志物。大多数发现阶段研究都集中于使用一种生物来源进行分析。本研究详细介绍了与胰腺癌相关的细胞系条件培养基和胰液的联合开采,以鉴定公认的诊断线索。使用强阳离子交换色谱,然后在LTQ-Orbitrap质谱仪上进行LC-MS / MS,我们广泛表征了来自六个胰腺癌细胞系(BxPc3,MIA-PaCa2,PANC1,CAPAN1,CFPAC1和SU)的条件培养基的蛋白质组。 (86.86.86),正常人的胰导管上皮细胞系HPDE,以及来自导管腺癌患者的两个合并的六个胰液样品池。所有样品进行三次重复分析。在每个细胞系中鉴定出1261至2171个蛋白中有两个或多个肽,在胰液池中平均鉴定出521个蛋白。共有3479个非冗余蛋白被高信度鉴定,根据基因组本体论分类,其中约40%是细胞外或细胞膜结合的。采用了三种策略来鉴定候选生物标志物:(1)使用无标记蛋白质定量技术检查癌症细胞与正常细胞系之间的差异蛋白表达;(2)整合分析,着眼于多种生物液体之间的蛋白质重叠; (3)通过挖掘公共数据库来进行组织特异性分析。使用ELISA对来自胰腺癌患者和健康对照组的血浆样品中前梯度同系物2,syncollin,olfactomedin-4,聚合免疫球蛋白受体和胶原α-1(VI)链的初步验证显示,ELISA的显着增加(p <0.01)胰腺癌患者血浆中的这些蛋白质。这五种蛋白质的组合在单独使用CA19.9的受体工作特征曲线下显示出改善的面积。这些蛋白质的进一步验证是必要的,对其余候选基因的研究也是如此。

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