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SEREX, Proteomex, AMIDA, and beyond: Serological screening technologies for target identification.SEREX、Proteomex、AMIDA 及其他:用于靶标鉴定的血清学筛选技术。
Proteomics Clin Appl. 2008 Mar;2(3):355-71. doi: 10.1002/prca.200780064. Epub 2008 Feb 7.
2
Panel of candidate biomarkers for renal cell carcinoma.候选生物标志物面板用于肾细胞癌。
J Proteome Res. 2010 Jul 2;9(7):3710-9. doi: 10.1021/pr100236r.
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Biomarker Development for the Clinical Activity of the mTOR Inhibitor Everolimus (RAD001): Processes, Limitations, and Further Proposals.用于评估 mTOR 抑制剂依维莫司(RAD001)临床活性的生物标志物的开发:过程、局限性及进一步的建议。
Transl Oncol. 2010 Apr;3(2):65-79. doi: 10.1593/tlo.09277.
4
New strategies in kidney cancer: therapeutic advances through understanding the molecular basis of response and resistance.肾癌的新策略:通过了解反应和耐药的分子基础来实现治疗进展。
Clin Cancer Res. 2010 Mar 1;16(5):1348-54. doi: 10.1158/1078-0432.CCR-09-2273. Epub 2010 Feb 23.
5
Combined blood/tissue analysis for cancer biomarker discovery: application to renal cell carcinoma.联合血液/组织分析用于癌症生物标志物的发现:在肾细胞癌中的应用。
Anal Chem. 2010 Mar 1;82(5):1584-8. doi: 10.1021/ac902204k.
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Molecular diagnosis and therapy of kidney cancer.肾肿瘤的分子诊断与治疗。
Annu Rev Med. 2010;61:329-43. doi: 10.1146/annurev.med.042808.171650.
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Mol Cell Proteomics. 2009 Dec;8(12):2827-42. doi: 10.1074/mcp.M900168-MCP200. Epub 2009 Sep 14.
10
iTRAQ-based proteomics profiling reveals increased metabolic activity and cellular cross-talk in angiogenic compared with invasive glioblastoma phenotype.iTRAQ 蛋白质组学分析揭示了与侵袭性胶质母细胞瘤表型相比,血管生成表型中代谢活性和细胞串扰增加。
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鉴定和分析肾癌细胞中的人类白细胞抗原 I 类配体。

Identification and characterization of human leukocyte antigen class I ligands in renal cell carcinoma cells.

机构信息

Institute of Medical Immunology, Martin-Luther University Halle-Wittenberg, Halle, Germany.

出版信息

Proteomics. 2011 Jun;11(12):2528-41. doi: 10.1002/pmic.201000486. Epub 2011 May 18.

DOI:10.1002/pmic.201000486
PMID:21595034
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3517181/
Abstract

The presentation of tumor antigen-derived peptides by human leukocyte antigen (HLA) class I surface antigens on tumor cells is a key prerequisite to trigger effective T-cell responses in cancer patients. Multiple complementary strategies like cDNA and serological expression cloning, reverse immunology and different 'ome'-based methods have been employed to identify potential T-cell targets. This report focuses on a ligandomic profiling approach leading to the identification of 49 naturally processed HLA class I peptide ligands presented on the cell surface of renal cell carcinoma (RCC) cells. The source proteins of the defined HLA ligands are classified according to their biological function and subcellular localization. Previously established cDNA microarray data of paired tissue specimen of RCC and renal epithelium assessed the transcriptional regulation for 28 source proteins. In addition, HLA-A2-restricted, peptide-specific T cells directed against a HLA ligand derived from sulfiredoxin-1 (SRXN1) were generated, which were able to recognize and lyse ligand-presenting target cells in a HLA class I-restricted manner. Furthermore, tumor-infiltrating T cells isolated from a RCC patient were also able to kill SRXN1 expressing tumor cells. Thus, this experimental strategy might be suited to define potential candidate biomarkers and novel targets for T-cell-based immunotherapies of this disease.

摘要

肿瘤细胞表面人类白细胞抗原(HLA)I 类表面抗原呈递肿瘤抗原衍生肽是触发癌症患者有效 T 细胞反应的关键前提。已经采用了多种互补策略,如 cDNA 和血清学表达克隆、反向免疫学和不同的“组学”方法来鉴定潜在的 T 细胞靶标。本报告重点介绍了一种配体组学分析方法,该方法导致鉴定出 49 种天然加工的 HLA I 类肽配体,这些配体呈现在肾细胞癌(RCC)细胞的细胞表面。根据其生物学功能和亚细胞定位对所定义的 HLA 配体的来源蛋白进行分类。先前对 RCC 和肾上皮组织标本的 cDNA 微阵列数据进行了评估,以确定 28 种来源蛋白的转录调控情况。此外,还产生了针对来自硫氧还蛋白-1(SRXN1)的 HLA-A2 限制性、肽特异性 T 细胞,这些细胞能够以 HLA 类 I 限制性方式识别和裂解呈递配体的靶细胞。此外,从 RCC 患者中分离的肿瘤浸润性 T 细胞也能够杀死表达 SRXN1 的肿瘤细胞。因此,这种实验策略可能适合定义该疾病基于 T 细胞的免疫疗法的潜在候选生物标志物和新靶标。