• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种专门分析细胞和组织分泌蛋白组的新技术。

A novel technique to specifically analyze the secretome of cells and tissues.

作者信息

Zwickl Hannes, Traxler Elisabeth, Staettner Stefan, Parzefall Wolfram, Grasl-Kraupp Bettina, Karner Josef, Schulte-Hermann Rolf, Gerner Christopher

机构信息

Department of Internal Medicine Clinic I, Institute of Cancer Research, Medical University of Vienna, Vienna, Austria.

出版信息

Electrophoresis. 2005 Jul;26(14):2779-85. doi: 10.1002/elps.200410387.

DOI:10.1002/elps.200410387
PMID:15966010
Abstract

The secretome of cells and tissues may reflect a broad variety of pathological conditions and thus represents a rich source of biomarkers. The identity of secreted proteins, usually isolated from cell supernatants or body fluids, is hardly accessible by direct proteome analysis, because these proteins are often masked by high amounts of proteins actually not secreted by the investigated cells. Here, we present a novel method for the specific detection of proteins secreted by human tissue specimen as well as cultured cells and chose liver as a model. The method is based on the metabolic labelling of proteins synthesized during a limited incubation period. Then, the cell supernatant is filtered, precipitated, and subjected to two-dimensional gel electrophoresis. Whereas fluorography detected a large number of proteins derived from residual plasma and dead cells, the autoradiographs selectively displayed genuinely secreted proteins. We demonstrate the feasibility of this approach by means of the secretomes of the hepatocellular carcinoma-derived cell line HepG2 and human liver slices. The selective identification of cell- and tissue-specific protein secretion profiles may help to identify novel sets of biomarkers for wide clinical applications.

摘要

细胞和组织的分泌蛋白质组可能反映多种病理状况,因此是丰富的生物标志物来源。通常从细胞上清液或体液中分离出的分泌蛋白的身份,通过直接蛋白质组分析很难确定,因为这些蛋白质常常被大量实际上并非由所研究细胞分泌的蛋白质所掩盖。在此,我们提出一种特异性检测人组织标本以及培养细胞分泌蛋白的新方法,并选择肝脏作为模型。该方法基于在有限孵育期内对合成蛋白质的代谢标记。然后,对细胞上清液进行过滤、沉淀,并进行二维凝胶电泳。荧光显影检测到大量源自残留血浆和死亡细胞的蛋白质,而放射自显影片则选择性地显示真正分泌的蛋白质。我们通过肝癌衍生细胞系HepG2和人肝切片的分泌蛋白质组证明了该方法的可行性。细胞和组织特异性蛋白质分泌谱的选择性鉴定可能有助于识别用于广泛临床应用的新型生物标志物组。

相似文献

1
A novel technique to specifically analyze the secretome of cells and tissues.一种专门分析细胞和组织分泌蛋白组的新技术。
Electrophoresis. 2005 Jul;26(14):2779-85. doi: 10.1002/elps.200410387.
2
Cell characterization by proteome profiling applied to primary hepatocytes and hepatocyte cell lines Hep-G2 and Hep-3B.通过蛋白质组谱分析对原代肝细胞和肝细胞系 Hep-G2 和 Hep-3B 进行细胞特征分析。
J Proteome Res. 2010 Jan;9(1):6-21. doi: 10.1021/pr900057t.
3
Entering a new era of rational biomarker discovery for early detection of melanoma metastases: secretome analysis of associated stroma cells.进入黑色素瘤转移早期检测的合理生物标志物发现新时代:相关基质细胞的分泌组分析
J Proteome Res. 2009 May;8(5):2501-10. doi: 10.1021/pr8010827.
4
Introducing the CPL/MUW proteome database: interpretation of human liver and liver cancer proteome profiles by referring to isolated primary cells.介绍CPL/MUW蛋白质组数据库:通过参考分离的原代细胞解读人类肝脏和肝癌蛋白质组图谱。
Electrophoresis. 2009 Jun;30(12):2076-89. doi: 10.1002/elps.200900072.
5
Characterization of de novo synthesized proteins released from human colorectal tumour explants.从人结肠肿瘤外植体释放的新生合成蛋白质的表征
Electrophoresis. 2009 Jul;30(14):2442-53. doi: 10.1002/elps.200800767.
6
Divide and conquer: rat liver tissue proteomics based on the analysis of purified constituents.
Electrophoresis. 2006 Oct;27(20):4112-20. doi: 10.1002/elps.200600017.
7
Application of the SILAC (stable isotope labelling with amino acids in cell culture) technique in quantitative comparisons for tissue proteome expression.细胞培养中氨基酸稳定同位素标记(SILAC)技术在组织蛋白质组表达定量比较中的应用。
Biotechnol Appl Biochem. 2009 Jul 6;54(1):11-20. doi: 10.1042/BA20090007.
8
Cytoplasmic proteome and secretome profiles of differently stimulated human dendritic cells.不同刺激下人类树突状细胞的细胞质蛋白质组和分泌蛋白质组图谱
J Proteome Res. 2009 Jun;8(6):2799-811. doi: 10.1021/pr8011039.
9
Metabolic labeling and protein linearization technology allow the study of proteins secreted by cultured cells in serum-containing media.代谢标记和蛋白线性化技术可用于研究含血清培养基中培养细胞分泌的蛋白。
J Proteome Res. 2009 Oct;8(10):4779-88. doi: 10.1021/pr900476b.
10
Toward a better analysis of secreted proteins: the example of the myeloid cells secretome.迈向对分泌蛋白的更好分析:以髓样细胞分泌组为例。
Proteomics. 2007 Jun;7(11):1757-70. doi: 10.1002/pmic.200601024.

引用本文的文献

1
Fetal Immunomodulatory Environment Following Cartilage Injury-The Key to CARTILAGE Regeneration?软骨损伤后的胎儿免疫调节环境——软骨再生的关键?
Int J Mol Sci. 2021 Nov 30;22(23):12969. doi: 10.3390/ijms222312969.
2
Molecular Mechanisms of Fetal Tendon Regeneration Versus Adult Fibrous Repair.胎儿肌腱再生与成人纤维修复的分子机制。
Int J Mol Sci. 2021 May 25;22(11):5619. doi: 10.3390/ijms22115619.
3
In silico approach to predict pancreatic β-cells classically secreted proteins.基于计算机的方法预测经典分泌型胰腺β细胞蛋白。
Biosci Rep. 2020 Feb 28;40(2). doi: 10.1042/BSR20193708.
4
Extracellular vesicles from infected cells: potential for direct pathogenesis.受感染细胞的细胞外囊泡:直接致病的可能性。
Front Microbiol. 2015 Oct 20;6:1132. doi: 10.3389/fmicb.2015.01132. eCollection 2015.
5
Comparative proteomic analysis of fibrosarcoma and skin fibroblast cell lines.纤维肉瘤与皮肤成纤维细胞系的比较蛋白质组学分析
Tumour Biol. 2015 Feb;36(2):561-7. doi: 10.1007/s13277-014-2672-8. Epub 2014 Oct 1.
6
An integrative omics strategy to assess the germ cell secretome and to decipher sertoli-germ cell crosstalk in the Mammalian testis.一种综合组学策略,用于评估生殖细胞分泌组并破译哺乳动物睾丸中支持细胞与生殖细胞之间的串扰。
PLoS One. 2014 Aug 11;9(8):e104418. doi: 10.1371/journal.pone.0104418. eCollection 2014.
7
Analysis of mass spectrometry data from the secretome of an explant model of articular cartilage exposed to pro-inflammatory and anti-inflammatory stimuli using machine learning.使用机器学习分析经促炎和抗炎刺激的关节软骨外植体模型分泌组中的质谱数据分析。
BMC Musculoskelet Disord. 2013 Dec 13;14:349. doi: 10.1186/1471-2474-14-349.
8
Modification of the secretion pattern of proteases, inflammatory mediators, and extracellular matrix proteins by human aortic valve is key in severe aortic stenosis.人主动脉瓣的蛋白酶、炎症介质和细胞外基质蛋白分泌模式的改变是严重主动脉瓣狭窄的关键。
Mol Cell Proteomics. 2013 Sep;12(9):2426-39. doi: 10.1074/mcp.M113.027425. Epub 2013 May 23.
9
Proteome signatures of inflammatory activated primary human peripheral blood mononuclear cells.炎症激活的原代人外周血单个核细胞的蛋白质组学特征。
J Proteomics. 2012 Dec 5;76 Spec No.(5):150-62. doi: 10.1016/j.jprot.2012.07.012. Epub 2012 Jul 16.
10
Investigating the secretome: lessons about the cells that comprise the heart.探索分泌蛋白组:关于构成心脏的细胞的经验教训。
Circ Cardiovasc Genet. 2012 Feb 1;5(1):o8-o18. doi: 10.1161/CIRCGENETICS.111.960187.