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T细胞激活过程中协调的转录后mRNA群体动力学

Coordinated posttranscriptional mRNA population dynamics during T-cell activation.

作者信息

Mukherjee Neelanjan, Lager Patrick J, Friedersdorf Matthew B, Thompson Marshall A, Keene Jack D

机构信息

Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710, USA.

出版信息

Mol Syst Biol. 2009;5:288. doi: 10.1038/msb.2009.44. Epub 2009 Jul 28.

Abstract

Although RNA-binding proteins (RBPs) coordinate many key decisions during cell growth and differentiation, the dynamics of RNA-RBP interactions have not been extensively studied on a global basis. We immunoprecipitated endogenous ribonucleoprotein complexes containing HuR and PABP throughout a T-cell activation time course and identified the associated mRNA populations using microarrays. We used Gaussian mixture modeling as a discriminative model, treating RBP association as a discrete variable (target or not target), and as a generative model, treating RBP-association as a continuous variable (probability of association). We report that HuR interacts with different populations of mRNAs during T-cell activation. These populations encode functionally related proteins that are members of the Wnt pathway and proteins mediating T-cell receptor signaling pathways. Moreover, the mRNA targets of HuR were found to overlap with the targets of other posttranscriptional regulatory factors, indicating combinatorial interdependence of posttranscriptional regulatory networks and modules after activation. Applying HuR mRNA dynamics as a quantitative phenotype in the drug-gene-phenotype Connectivity Map, we identified candidate small molecule effectors of HuR and T-cell activation. We show that one of these candidates, resveratrol, exerts T-cell activation-dependent posttranscriptional effects that are rescued by HuR. Thus, we describe a strategy to systematically link an RBP and condition-specific posttranscriptional effects to small molecule drugs.

摘要

尽管RNA结合蛋白(RBPs)在细胞生长和分化过程中协调着许多关键决策,但RNA-RBP相互作用的动力学尚未在全球范围内得到广泛研究。我们在整个T细胞激活时间进程中免疫沉淀了含有HuR和PABP的内源性核糖核蛋白复合物,并使用微阵列鉴定了相关的mRNA群体。我们将高斯混合模型用作判别模型,将RBP关联视为离散变量(目标或非目标),并用作生成模型,将RBP关联视为连续变量(关联概率)。我们报告说,HuR在T细胞激活过程中与不同群体的mRNA相互作用。这些群体编码功能相关的蛋白质,这些蛋白质是Wnt途径的成员以及介导T细胞受体信号通路的蛋白质。此外,发现HuR的mRNA靶标与其他转录后调节因子的靶标重叠,表明激活后转录后调节网络和模块的组合相互依赖性。将HuR mRNA动力学作为药物-基因-表型连接图谱中的定量表型应用,我们确定了HuR和T细胞激活的候选小分子效应物。我们表明,这些候选物之一白藜芦醇发挥了依赖于T细胞激活的转录后效应,而HuR可以挽救这些效应。因此,我们描述了一种将RBP与条件特异性转录后效应系统地与小分子药物联系起来的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a0d/2724974/dd037e0d3e82/msb200944-f1.jpg

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