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迈向人类蛋白质组的共聚焦亚细胞图谱。

Toward a confocal subcellular atlas of the human proteome.

作者信息

Barbe Laurent, Lundberg Emma, Oksvold Per, Stenius Anna, Lewin Erland, Björling Erik, Asplund Anna, Pontén Fredrik, Brismar Hjalmar, Uhlén Mathias, Andersson-Svahn Helene

机构信息

Department of Biotechnology, AlbaNova University Center, Royal Institute of Technology, SE-106 91 Stockholm, Sweden.

出版信息

Mol Cell Proteomics. 2008 Mar;7(3):499-508. doi: 10.1074/mcp.M700325-MCP200. Epub 2007 Nov 19.

Abstract

Information on protein localization on the subcellular level is important to map and characterize the proteome and to better understand cellular functions of proteins. Here we report on a pilot study of 466 proteins in three human cell lines aimed to allow large scale confocal microscopy analysis using protein-specific antibodies. Approximately 3000 high resolution images were generated, and more than 80% of the analyzed proteins could be classified in one or multiple subcellular compartment(s). The localizations of the proteins showed, in many cases, good agreement with the Gene Ontology localization prediction model. This is the first large scale antibody-based study to localize proteins into subcellular compartments using antibodies and confocal microscopy. The results suggest that this approach might be a valuable tool in conjunction with predictive models for protein localization.

摘要

亚细胞水平上蛋白质定位的信息对于绘制和表征蛋白质组以及更好地理解蛋白质的细胞功能非常重要。在此,我们报告了一项针对三种人类细胞系中466种蛋白质的初步研究,旨在使用蛋白质特异性抗体进行大规模共聚焦显微镜分析。生成了约3000张高分辨率图像,超过80%的分析蛋白质可被归类到一个或多个亚细胞区室中。在许多情况下,蛋白质的定位与基因本体定位预测模型吻合良好。这是第一项使用抗体和共聚焦显微镜将蛋白质定位到亚细胞区室的基于抗体的大规模研究。结果表明,这种方法可能是一种与蛋白质定位预测模型相结合的有价值工具。

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