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一种用于解析全局转录因子对大肠杆菌基因表达的直接和间接影响的系统生物学方法。

A Systems Biology Approach To Disentangle the Direct and Indirect Effects of Global Transcription Factors on Gene Expression in Escherichia coli.

作者信息

Iyer Mahesh S, Pal Ankita, Venkatesh K V

机构信息

Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, India.

出版信息

Microbiol Spectr. 2023 Feb 7;11(2):e0210122. doi: 10.1128/spectrum.02101-22.

Abstract

Delineating the pleiotropic effects of global transcriptional factors (TFs) is critical for understanding the system-wide regulatory response in a particular environment. Currently, with the availability of genome-wide TF binding and gene expression data for Escherichia coli, several gene targets can be assigned to the global TFs, albeit inconsistently. Here, using a systematic integrated approach with emphasis on metabolism, we characterized and quantified the direct effects as well as the growth rate-mediated indirect effects of global TFs using deletion mutants of FNR, ArcA, and IHF regulators (focal TFs) under glucose fermentative conditions. This categorization enabled us to disentangle the dense connections seen within the transcriptional regulatory network (TRN) and determine the exact nature of focal TF-driven epistatic interactions with other global and pathway-specific local regulators (iTFs). We extended our analysis to combinatorial deletions of these focal TFs to determine their cross talk effects as well as conserved patterns of regulatory interactions. Moreover, we predicted with high confidence several novel metabolite-iTF interactions using inferred iTF activity changes arising from the allosteric effects of the intracellular metabolites perturbed as a result of the absence of focal TFs. Further, using compendium level computational analyses, we revealed not only the coexpressed genes regulated by these focal TFs but also the coordination of the direct and indirect target expression in the context of the economy of intracellular metabolites. Overall, this study leverages the fundamentals of TF-driven regulation, which could serve as a better template for deciphering mechanisms underlying complex phenotypes. Understanding the pleiotropic effects of global TFs on gene expression and their relevance underlying a specific response in a particular environment has been challenging. Here, we distinguish the TF-driven direct effects and growth rate-mediated indirect effects on gene expression using single- and double-deletion mutants of FNR, ArcA, and IHF regulators under anaerobic glucose fermentation. Such dissection assists us in unraveling the precise nature of interactions existing between the focal TF(s) and several other TFs, including those altered by allosteric effects of intracellular metabolites. We were able to recapitulate the previously known metabolite-TF interactions and predict novel interactions with high confidence. Furthermore, we determined that the direct and indirect gene expression have a strong connection with each other when analyzed using the coexpressed- or coregulated-gene approach. Deciphering such regulatory patterns explicitly from the metabolism point of view would be valuable in understanding other unpredicted complex regulation existing in nature.

摘要

描绘全局转录因子(TFs)的多效性作用对于理解特定环境中的全系统调节反应至关重要。目前,由于可获得大肠杆菌的全基因组TF结合和基因表达数据,尽管存在不一致性,但仍可将几个基因靶点分配给全局TFs。在这里,我们采用一种系统的综合方法,重点关注代谢,利用FNR、ArcA和IHF调节因子(焦点TFs)的缺失突变体,在葡萄糖发酵条件下,对全局TFs的直接作用以及生长速率介导的间接作用进行了表征和量化。这种分类使我们能够理清转录调控网络(TRN)中所见的密集连接,并确定焦点TF驱动的上位性相互作用与其他全局和途径特异性局部调节因子(iTFs)的确切性质。我们将分析扩展到这些焦点TFs的组合缺失,以确定它们的串扰效应以及调节相互作用的保守模式。此外,我们利用因缺乏焦点TFs而受到干扰的细胞内代谢物的变构效应推断出的iTF活性变化,高置信度地预测了几种新的代谢物-iTF相互作用。此外,通过纲要水平的计算分析,我们不仅揭示了受这些焦点TFs调控共表达的基因,还揭示了在细胞内代谢物经济性背景下直接和间接靶标表达的协调性。总体而言,本研究利用了TF驱动调节的基本原理,可为解读复杂表型背后的机制提供更好的模板。理解全局TFs对基因表达的多效性作用及其在特定环境中特定反应背后的相关性一直具有挑战性。在这里,我们利用FNR、ArcA和IHF调节因子的单缺失和双缺失突变体,在厌氧葡萄糖发酵条件下,区分了TF驱动的对基因表达的直接作用和生长速率介导的间接作用。这种剖析有助于我们阐明焦点TF与其他几个TF之间存在的相互作用的确切性质,包括那些因细胞内代谢物的变构效应而改变的相互作用。我们能够重现先前已知的代谢物-TF相互作用,并高置信度地预测新的相互作用。此外,我们确定,当使用共表达或共调节基因方法进行分析时,直接和间接基因表达彼此之间有很强的联系。从代谢角度明确解读这种调节模式对于理解自然界中存在的其他不可预测的复杂调节将是有价值的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8943/10100776/3b7f3b198cfc/spectrum.02101-22-f001.jpg

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