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细胞凋亡过程中核蛋白质组的系统表征:通过差异提取和稳定同位素标记进行的定量蛋白质组学研究

Systematic characterization of nuclear proteome during apoptosis: a quantitative proteomic study by differential extraction and stable isotope labeling.

作者信息

Hwang Sun-Il, Lundgren Deborah H, Mayya Viveka, Rezaul Karim, Cowan Ann E, Eng Jimmy K, Han David K

机构信息

Department of Cell Biology, Center for Vascular Biology, Center for Cell Analysis and Modeling, University of Connecticut School of Medicine, Farmington, Connecticut 06030, USA.

出版信息

Mol Cell Proteomics. 2006 Jun;5(6):1131-45. doi: 10.1074/mcp.M500162-MCP200. Epub 2006 Mar 14.

DOI:10.1074/mcp.M500162-MCP200
PMID:16540461
Abstract

Identification and characterization of the nuclear proteome is important for detailed understanding of multiple signaling events in eukaryotic cells. Toward this goal, we extensively characterized the nuclear proteome of human T leukemia cells by sequential extraction of nuclear proteins with different physicochemical properties using three buffer conditions. This large scale proteomic study also tested the feasibility and technical challenges associated with stable isotope labeling by amino acids in cell culture (SILAC) to uncover quantitative changes during apoptosis. Analyzing proteins from three nuclear fractions extracted from naive and apoptotic cells generated 780,530 MS/MS spectra that were used for database searching using the SEQUEST algorithm. This analysis resulted in the identification and quantification of 1,174 putative nuclear proteins. A number of known nuclear proteins involved in apoptosis as well as novel proteins not known to be part of the nuclear apoptotic machinery were identified and quantified. Consistent with SILAC-based quantifications, immunofluorescence staining of nucleus, mitochondria, and some associated proteins from both organelles revealed a dynamic recruitment of mitochondria into nuclear invaginations during apoptosis.

摘要

鉴定和表征核蛋白质组对于深入了解真核细胞中的多种信号事件非常重要。为了实现这一目标,我们通过使用三种缓冲条件对具有不同物理化学性质的核蛋白进行顺序提取,广泛地表征了人T白血病细胞核蛋白质组。这项大规模蛋白质组学研究还测试了细胞培养中氨基酸稳定同位素标记(SILAC)相关的可行性和技术挑战,以揭示凋亡过程中的定量变化。分析来自未凋亡细胞和凋亡细胞提取的三个核级分中的蛋白质,产生了780,530个MS/MS谱,用于使用SEQUEST算法进行数据库搜索。该分析导致鉴定和定量了1,174种推定的核蛋白。鉴定并定量了许多参与凋亡的已知核蛋白以及未知为核凋亡机制一部分的新蛋白。与基于SILAC的定量结果一致,对细胞核、线粒体以及来自这两个细胞器的一些相关蛋白进行免疫荧光染色,揭示了凋亡过程中线粒体向核内陷的动态募集。

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