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首页> 外文期刊>Journal of cellular biochemistry. >Comparative proteome analysis of 3T3-L1 adipocyte differentiation using iTRAQ-coupled 2D LC-MS/MS.
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Comparative proteome analysis of 3T3-L1 adipocyte differentiation using iTRAQ-coupled 2D LC-MS/MS.

机译:使用iTRAQ耦合的2D LC-MS / MS对3T3-L1脂肪细胞分化进行蛋白质组比较分析。

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摘要

Adipose tissue is critical in obesity and type II diabetes. Blocking of adipocyte differentiation is one of the anti-obesity strategies targeting on strong rise in fat storage and secretion of adipokine(s). However, the molecular basis of adipocyte differentiation and its regulation remains obscure. Therefore, we exposed 3T3-L1 cell line to appropriate hormonal inducers as adipocyte differentiation model. Using iTRAQ-coupled 2D LC-MS/MS, a successfully exploited high-throughput proteomic technology, we nearly quantitated 1,000 protein species and found 106 significantly altered proteins during adipocyte differentiation. The great majority of differentially expressed proteins were related to metabolism enzymes, structural molecules, and proteins involved in signal transduction. In addition to previously reported differentially expressed molecules, more than 20 altered proteins previously unknown to be involved with adipogenic process were firstly revealed (e.g., HEXB, DPP7, PTTG1IP, PRDX5, EPDR1, SPNB2, STEAP3, TPP1, etc.). The partially differential proteins were verified by Western blot and/or real-time PCR analysis. Furthermore, the association of PCX and VDAC2, two altered proteins, with adipocyte conversion was analyzed using siRNA method, and the results showed that they could contribute considerably to adipogenesis. In conclusion, our data provide valuable information for further understanding of adipogenesis.
机译:脂肪组织对于肥胖和II型糖尿病至关重要。阻止脂肪细胞分化是针对肥胖的脂肪存储和脂肪因子分泌的强劲增长的抗肥胖策略之一。但是,脂肪细胞分化及其调控的分子基础仍然不清楚。因此,我们将3T3-L1细胞系暴露于合适的激素诱导剂作为脂肪细胞分化模型。使用成功开发的高通量蛋白质组学技术iTRAQ耦合的二维LC-MS / MS,我们几乎定量了1,000种蛋白质,并发现了106种在脂肪细胞分化过程中发生显着改变的蛋白质。差异表达的蛋白质绝大多数与代谢酶,结构分子和信号转导中涉及的蛋白质有关。除了先前报道的差异表达分子外,还首次发现了20多种以前未知的与成脂过程有关的改变蛋白(例如HEXB,DPP7,PTTG1IP,PRDX5,EPDR1,SPNB2,STEAP3,TPP1等)。通过蛋白质印迹和/或实时PCR分析验证了部分差异蛋白。此外,使用siRNA方法分析了PCX和VDAC2这两种改变的蛋白与脂肪细胞转化的相关性,结果表明它们可以显着促进脂肪形成。总之,我们的数据为进一步了解脂肪形成提供了有价值的信息。

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