Suppr超能文献

使用基于五重稳定同位素标记氨基酸法(SILAC)的策略对脂肪细胞分化过程中的蛋白质组进行时间进程分析。

Temporal profiling of the adipocyte proteome during differentiation using a five-plex SILAC based strategy.

作者信息

Molina Henrik, Yang Yi, Ruch Travis, Kim Jae-Woo, Mortensen Peter, Otto Tamara, Nalli Anuradha, Tang Qi-Qun, Lane M Daniel, Chaerkady Raghothama, Pandey Akhilesh

机构信息

McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.

Department of Biological Chemistry, Johns Hopkins University, Baltimore, MD 21205, USA.

出版信息

J Proteome Res. 2009 Jan;8(1):48-58. doi: 10.1021/pr800650r.

Abstract

The adipose tissue has important secretory and endocrine functions in humans. The regulation of adipocyte differentiation has been actively pursued using transcriptomic methods over the last several years. Quantitative proteomics has emerged as a promising approach to obtain temporal profiles of biological processes such as differentiation. Stable isotope labeling with amino acids in cell culture (SILAC) is a simple and robust method for labeling proteins in vivo. Here, we describe the development and application of a five-plex SILAC experiment using four different heavy stable isotopic forms of arginine to study the nuclear proteome and the secretome during the course of adipocyte differentiation. Tandem mass spectrometry analysis using a quadrupole time-of-flight instrument resulted in identification of a total 882 proteins from these two proteomes. Of these proteins, 427 were identified on the basis of one or more arginine-containing peptides that allowed quantitation. In addition to previously reported molecules that are differentially expressed during the process of adipogenesis (e.g., adiponectin and lipoprotein lipase), we identified several proteins whose differential expression during adipocyte differentiation has not been documented previously. For example, THO complex 4, a context-dependent transcriptional activator in the T-cell receptor alpha enhancer complex, showed highest expression at middle stage of adipogenesis, while SNF2 alpha, a chromatin remodeling protein, was downregulated upon initiation of adipogenesis and remained so during subsequent time points. This study using a 5-plex SILAC to investigate dynamics illustrates the power of this approach to identify differentially expressed proteins in a temporal fashion.

摘要

脂肪组织在人体中具有重要的分泌和内分泌功能。在过去几年中,人们一直积极利用转录组学方法研究脂肪细胞分化的调控。定量蛋白质组学已成为一种有前景的方法,可用于获取诸如分化等生物过程的时间进程概况。细胞培养中氨基酸稳定同位素标记(SILAC)是一种在体内标记蛋白质的简单且可靠的方法。在此,我们描述了一种五重SILAC实验的开发与应用,该实验使用四种不同的精氨酸重稳定同位素形式来研究脂肪细胞分化过程中的核蛋白质组和分泌蛋白质组。使用四极杆飞行时间仪器进行串联质谱分析,从这两个蛋白质组中总共鉴定出882种蛋白质。在这些蛋白质中,有427种是基于一种或多种含精氨酸的肽段鉴定出来的,这些肽段可用于定量分析。除了先前报道的在脂肪生成过程中差异表达的分子(如脂联素和脂蛋白脂肪酶)外,我们还鉴定出了几种蛋白质,其在脂肪细胞分化过程中的差异表达此前尚未见报道。例如,THO复合物4是T细胞受体α增强子复合物中的一种上下文依赖性转录激活因子,在脂肪生成的中期表达最高,而染色质重塑蛋白SNF2α在脂肪生成开始时下调,并在随后的时间点一直保持这种状态。这项使用五重SILAC来研究动态变化的研究说明了这种方法在以时间方式鉴定差异表达蛋白质方面的强大功能。

相似文献

引用本文的文献

4
Quantitative Proteomics Using Isobaric Labeling: A Practical Guide.定量蛋白质组学使用等重标记:实用指南。
Genomics Proteomics Bioinformatics. 2021 Oct;19(5):689-706. doi: 10.1016/j.gpb.2021.08.012. Epub 2022 Jan 8.

本文引用的文献

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