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蛋白质微阵列分析鉴定人细胞朊蛋白相互作用分子。

Protein microarray analysis identifies human cellular prion protein interactors.

作者信息

Satoh J, Obayashi S, Misawa T, Sumiyoshi K, Oosumi K, Tabunoki H

机构信息

Department of Bioinformatics and Molecular Neuropathology, Meiji Pharmaceutical University, Tokyo, Japan.

出版信息

Neuropathol Appl Neurobiol. 2009 Feb;35(1):16-35. doi: 10.1111/j.1365-2990.2008.00947.x. Epub 2008 May 8.

Abstract

AIMS

To obtain an insight into the function of cellular prion protein (PrPC), we studied PrPC-interacting proteins (PrPIPs) by analysing a protein microarray.

METHODS

We identified 47 novel PrPIPs by probing an array of 5000 human proteins with recombinant human PrPC spanning amino acid residues 23-231 named PR209.

RESULTS

The great majority of 47 PrPIPs were annotated as proteins involved in the recognition of nucleic acids. Coimmunoprecipitation and cell imaging in a transient expression system validated the interaction of PR209 with neuronal PrPIPs, such as FAM64A, HOXA1, PLK3 and MPG. However, the interaction did not generate proteinase K-resistant proteins. KeyMolnet, a bioinformatics tool for analysing molecular interaction on the curated knowledge database, revealed that the complex molecular network of PrPC and PrPIPs has a significant relationship with AKT, JNK and MAPK signalling pathways.

CONCLUSIONS

Protein microarray is a useful tool for systematic screening and comprehensive profiling of the human PrPC interactome. Because the network of PrPC and interactors involves signalling pathways essential for regulation of cell survival, differentiation, proliferation and apoptosis, these observations suggest a logical hypothesis that dysregulation of the PrPC interactome might induce extensive neurodegeneration in prion diseases.

摘要

目的

为深入了解细胞朊蛋白(PrPC)的功能,我们通过分析蛋白质微阵列研究了PrPC相互作用蛋白(PrPIPs)。

方法

我们用跨越23至231个氨基酸残基的重组人PrPC(命名为PR209)探测包含5000种人类蛋白质的阵列,从而鉴定出47种新的PrPIPs。

结果

47种PrPIPs中的绝大多数被注释为参与核酸识别的蛋白质。在瞬时表达系统中的共免疫沉淀和细胞成像验证了PR209与神经元PrPIPs(如FAM64A、HOXA1、PLK3和MPG)之间的相互作用。然而,这种相互作用并未产生抗蛋白酶K的蛋白质。KeyMolnet是一种用于在经过整理的知识数据库上分析分子相互作用的生物信息学工具,它显示PrPC和PrPIPs的复杂分子网络与AKT、JNK和MAPK信号通路有显著关系。

结论

蛋白质微阵列是系统筛选和全面描绘人类PrPC相互作用组的有用工具。由于PrPC与其相互作用分子的网络涉及细胞存活、分化、增殖和凋亡调节所必需的信号通路,这些观察结果提示了一个合理的假设,即PrPC相互作用组的失调可能在朊病毒疾病中诱导广泛的神经退行性变。

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