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原癌基因 SET/I2PP2A 的核质穿梭分析。

Analysis of nucleo-cytoplasmic shuttling of the proto-oncogene SET/I2PP2A.

机构信息

Department of Molecular Cell Biology, Sanquin Research and Landsteiner Laboratory, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

出版信息

Cytometry A. 2012 Jan;81(1):81-9. doi: 10.1002/cyto.a.21153. Epub 2011 Oct 11.

Abstract

SET/I2PP2A is a nuclear protein that was initially identified as an oncogene in human undifferentiated acute myeloid leukemia, fused to the nuclear porin Nup-214. In addition, SET is a potent inhibitior of the phosphatase PP2A. Previously, we proposed a model in which the small GTPase Rac1 recruits SET from the nucleus to the plasma membrane to promote cell migration. This event represents an entirely novel concept in the field of cell migration. Now, fluorescent versions of the SET protein are generated to analyze its nucleo-cytoplasmic shuttling in live cells. Our studies showed that under steady-state conditions a fraction of the SET protein, which is primarily localized in the nucleus, translocates to the cytosol in an apparently random fashion. SET exiting the nucleus was also seen in spreading as well as dividing cells. We designed an image analysis method to quantify the frequency of nuclear exit of the SET proteins, based on 4D confocal imaging. This straightforward method was validated by analysis of SET wild-type and mutant proteins. This showed that the frequency of nuclear exit of a Ser-9 phosphomimetic mutant (S9E) is enhanced compared to wild-type SET or a S9A mutant. Thus, we have developed a novel method to analyze the nucleo-cytoplasmic shuttling of the proto-oncogene SET dynamics in live cells. This method will also be applicable to monitor dynamic localization of other nuclear and/or cytoplasmic signaling proteins.

摘要

SET/I2PP2A 是一种核蛋白,最初在人类未分化急性髓性白血病中被鉴定为癌基因,与核孔蛋白 Nup-214 融合。此外,SET 是 PP2A 磷酸酶的有效抑制剂。此前,我们提出了一个模型,即小 GTPase Rac1 将 SET 从细胞核招募到质膜,以促进细胞迁移。这一事件代表了细胞迁移领域的一个全新概念。现在,生成了荧光版本的 SET 蛋白,以分析其在活细胞中的核质穿梭。我们的研究表明,在稳态条件下,主要定位于细胞核的 SET 蛋白的一部分以明显随机的方式转移到细胞质中。在细胞伸展和分裂过程中也观察到 SET 从核内输出。我们设计了一种图像分析方法,基于 4D 共聚焦成像,来定量分析 SET 蛋白从核内输出的频率。该方法通过分析 SET 野生型和突变蛋白进行了验证。结果表明,与野生型 SET 或 S9A 突变体相比,Ser-9 磷酸模拟突变体(S9E)的核内输出频率增加。因此,我们开发了一种新的方法来分析活细胞中原癌基因 SET 动力学的核质穿梭。该方法也将适用于监测其他核内和/或细胞质信号蛋白的动态定位。

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