Insights into functional connectivity in mammalian signal transduction pathways by pairwise comparison of protein interaction partners of critical signaling hubs.

Q2 Biochemistry, Genetics and Molecular Biology
Biomolecular Concepts Pub Date : 2022-09-01 eCollection Date: 2022-01-01 DOI:10.1515/bmc-2022-0023
Chilakamarti V Ramana
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引用次数: 0

Abstract

Growth factors and cytokines activate signal transduction pathways and regulate gene expression in eukaryotes. Intracellular domains of activated receptors recruit several protein kinases as well as transcription factors that serve as platforms or hubs for the assembly of multi-protein complexes. The signaling hubs involved in a related biologic function often share common interaction proteins and target genes. This functional connectivity suggests that a pairwise comparison of protein interaction partners of signaling hubs and network analysis of common partners and their expression analysis might lead to the identification of critical nodes in cellular signaling. A pairwise comparison of signaling hubs across several related pathways might reveal novel signaling modules. Analysis of protein interaction connectome by Venn (PIC-Venn) of transcription factors STAT1, STAT3, NFKB1, RELA, FOS, and JUN, and their common interaction network suggested that BRCA1 and TSC22D3 function as critical nodes in immune responses by connecting the signaling hubs into signaling modules. Transcriptional regulation of critical hubs may play a major role in the lung epithelial cells in response to SARS-CoV-2 and in COVID-19 patients. Mutations and differential expression levels of these critical nodes and modules in pathological conditions might deregulate signaling pathways and their target genes involved in inflammation. Biological connectivity emerges from the structural connectivity of interaction networks across several signaling hubs in related pathways. The main objectives of this study are to identify critical hubs, critical nodes, and modules involved in the signal transduction pathways of innate and adaptive immunity. Application of PIC-Venn to several signaling hubs might reveal novel nodes and modules that can be targeted by small regulatory molecules to simultaneously activate or inhibit cell signaling in health and disease.

通过对关键信号中枢蛋白相互作用伙伴的两两比较,深入了解哺乳动物信号转导途径的功能连接。
生长因子和细胞因子激活真核生物的信号转导途径并调节基因表达。激活受体的胞内结构域募集多种蛋白激酶以及转录因子,这些转录因子作为多蛋白复合物组装的平台或枢纽。参与相关生物功能的信号中枢通常具有共同的相互作用蛋白和靶基因。这种功能连接表明,对信号中枢的蛋白质相互作用伙伴和共同伙伴的网络分析及其表达分析的两两比较可能导致细胞信号传导的关键节点的识别。对几个相关通路上的信号集线器进行两两比较可能会揭示新的信号模块。转录因子STAT1、STAT3、NFKB1、RELA、FOS和JUN的蛋白相互作用连接组的Venn (picn -Venn)分析及其共同的相互作用网络表明,BRCA1和TSC22D3通过将信号枢纽连接到信号模块中,在免疫应答中发挥关键节点的作用。关键枢纽的转录调控可能在肺上皮细胞对SARS-CoV-2和COVID-19患者的反应中发挥重要作用。病理条件下这些关键节点和模块的突变和差异表达水平可能会解除信号通路及其参与炎症的靶基因的调控。生物连通性来自于相关通路中多个信号中枢相互作用网络的结构连通性。本研究的主要目的是确定先天免疫和适应性免疫信号转导途径中涉及的关键枢纽、关键节点和模块。PIC-Venn在多个信号中枢的应用可能会揭示新的节点和模块,这些节点和模块可以被小调节分子靶向,同时激活或抑制健康和疾病中的细胞信号。
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来源期刊
Biomolecular Concepts
Biomolecular Concepts Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
5.30
自引率
0.00%
发文量
27
审稿时长
12 weeks
期刊介绍: BioMolecular Concepts is a peer-reviewed open access journal fostering the integration of different fields of biomolecular research. The journal aims to provide expert summaries from prominent researchers, and conclusive extensions of research data leading to new and original, testable hypotheses. Aspects of research that can promote related fields, and lead to novel insight into biological mechanisms or potential medical applications are of special interest. Original research articles reporting new data of broad significance are also welcome. Topics: -cellular and molecular biology- genetics and epigenetics- biochemistry- structural biology- neurosciences- developmental biology- molecular medicine- pharmacology- microbiology- plant biology and biotechnology.
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