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RNA 结合蛋白作为成骨细胞和破骨细胞中的新型效应因子:一种解析转录景观的系统生物学方法。

RNA-Binding Proteins as Novel Effectors in Osteoblasts and Osteoclasts: A Systems Biology Approach to Dissect the Transcriptional Landscape.

机构信息

Department of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria.

Immunai/Nebion AG, 8048 Zürich, Switzerland.

出版信息

Int J Mol Sci. 2024 Sep 27;25(19):10417. doi: 10.3390/ijms251910417.

Abstract

Bone health is ensured by the coordinated action of two types of cells-the osteoblasts that build up bone structure and the osteoclasts that resorb the bone. The loss of balance in their action results in pathological conditions such as osteoporosis. Central to this study is a class of RNA-binding proteins (RBPs) that regulates the biogenesis of miRNAs. In turn, miRNAs represent a critical level of regulation of gene expression and thus control multiple cellular and biological processes. The impact of miRNAs on the pathobiology of various multifactorial diseases, including osteoporosis, has been demonstrated. However, the role of RBPs in bone remodeling is yet to be elucidated. The aim of this study is to dissect the transcriptional landscape of genes encoding the compendium of 180 RBPs in bone cells. We developed and applied a multi-modular integrative analysis algorithm. The core methodology is gene expression analysis using the GENEVESTIGATOR platform, which is a database and analysis tool for manually curated and publicly available transcriptomic data sets, and gene network reconstruction using the Ingenuity Pathway Analysis platform. In this work, comparative insights into gene expression patterns of RBPs in osteoblasts and osteoclasts were obtained, resulting in the identification of 24 differentially expressed genes. Furthermore, the regulation patterns upon different treatment conditions revealed 20 genes as being significantly up- or down-regulated. Next, novel gene-gene associations were dissected and gene networks were reconstructed. Additively, a set of osteoblast- and osteoclast-specific gene signatures were identified. The consolidation of data and information gained from each individual analytical module allowed nominating novel promising candidate genes encoding RBPs in osteoblasts and osteoclasts and will significantly enhance the understanding of potential regulatory mechanisms directing intracellular processes in the course of (patho)physiological bone turnover.

摘要

骨骼健康是由两种类型的细胞协同作用来保证的,即构建骨结构的成骨细胞和吸收骨的破骨细胞。它们的作用失去平衡会导致骨质疏松症等病理状况。本研究的核心是一类 RNA 结合蛋白 (RBPs),它调节 miRNA 的生物发生。反过来,miRNAs 代表了基因表达调控的关键水平,从而控制着多种细胞和生物学过程。miRNAs 对包括骨质疏松症在内的多种多因素疾病的病理生物学的影响已经得到了证明。然而,RBPs 在骨重塑中的作用尚未阐明。本研究的目的是剖析骨细胞中编码 180 种 RBPs 综合本的基因的转录图谱。我们开发并应用了一种多模块综合分析算法。核心方法是使用 GENEVESTIGATOR 平台进行基因表达分析,该平台是一个数据库和分析工具,用于手动整理和公开的转录组数据集,以及使用 Ingenuity Pathway Analysis 平台进行基因网络重构。在这项工作中,我们获得了成骨细胞和成骨细胞中 RBPs 基因表达模式的比较见解,从而确定了 24 个差异表达基因。此外,不同处理条件下的调控模式揭示了 20 个基因的显著上调或下调。接下来,我们剖析了新的基因-基因关联,并重建了基因网络。此外,还确定了一组成骨细胞和破骨细胞特异性基因特征。从每个单独的分析模块中整合数据和信息,提名了新的有前途的候选基因,这些基因编码成骨细胞和破骨细胞中的 RBPs,并将显著增强对潜在调控机制的理解,这些机制指导着(病理)生理骨骼转化过程中的细胞内过程。

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