Gitau John K, Macharia Rosaline W, Mwangi Kennedy W, Ongeso Nehemiah, Murungi Edwin
University of Nairobi, Biochemistry Department, P.O Box 30197, 00100, Nairobi, Kenya.
Jomo Kenyatta University of Agriculture and Technology, P.O Box 62000, 00200, Nairobi, Kenya.
Heliyon. 2023 Jul 14;9(7):e18175. doi: 10.1016/j.heliyon.2023.e18175. eCollection 2023 Jul.
Rift Valley Fever (RVF) is a mosquito-borne viral disease caused by the Rift Valley Fever Virus. The disease is a zoonosis that largely affects domestic animals, including sheep, goats, and cattle, resulting in severe morbidity and mortality marked by massive storm abortions. To halt human and livestock deaths due to RVF, the development of efficacious vaccines and therapeutics is a compelling and urgent priority. We sought to identify potential key modules (gene clusters), hub genes, and regulatory motifs involved in the pathogenesis of RVF in that are amenable to inhibition. We analyzed 39 RNA-Seq samples using the weighted gene co-expression network analysis (WGCNA) R package and uncovered significantly enriched modules containing genes with potential pivotal roles in RVF progression. Moreover, regulatory motif analysis conducted using the Multiple Expectation Maximization for Motif Elicitation (MEME) suite identified motifs that probably modulate vital biological processes. Gene ontology terms associated with identified motifs were inferred using the GoMo human database. The gene co-expression network constructed in WGCNA using 5000 genes contained seven (7) modules, out of which four were significantly enriched for terms associated with response to viruses, response to interferon-alpha, innate immune response, and viral defense. Additionally, several biological pathways implicated in developmental processes, anatomical structure development, and multicellular organism development were identified. Regulatory motifs analysis identified short, repeated motifs whose function(s) may be amenable to disruption by novel therapeutics. Predicted functions of identified motifs include tissue development, embryonic organ development, and organ morphogenesis. We have identified several hub genes in enriched co-expressed gene modules and regulatory motifs potentially involved in the pathogenesis of RVF in that are likely viable targets for disruption by novel therapeutics.
裂谷热(RVF)是一种由裂谷热病毒引起的蚊媒病毒性疾病。该疾病是人畜共患病,主要影响家畜,包括绵羊、山羊和牛,导致严重发病和死亡,其特征为大量暴发性流产。为了阻止因裂谷热导致的人类和牲畜死亡,开发有效的疫苗和治疗方法是一项紧迫且至关重要的优先任务。我们试图识别参与裂谷热发病机制且易于被抑制的潜在关键模块(基因簇)、枢纽基因和调控基序。我们使用加权基因共表达网络分析(WGCNA)R包分析了39个RNA测序样本,发现了显著富集的模块,这些模块包含在裂谷热进展中可能起关键作用的基因。此外,使用多期望最大化基序引出(MEME)套件进行的调控基序分析确定了可能调节重要生物学过程的基序。使用GoMo人类数据库推断与已识别基序相关的基因本体术语。在WGCNA中使用5000个基因构建的基因共表达网络包含七个模块,其中四个模块在与病毒反应、α干扰素反应、先天免疫反应和病毒防御相关的术语方面显著富集。此外,还确定了与发育过程、解剖结构发育和多细胞生物发育相关的几种生物学途径。调控基序分析确定了短的重复基序,其功能可能易于被新型治疗方法破坏。已识别基序的预测功能包括组织发育、胚胎器官发育和器官形态发生。我们在富集的共表达基因模块和调控基序中识别了几个枢纽基因,它们可能参与裂谷热的发病机制,很可能是新型治疗方法破坏的可行靶点。