小茴香(Anethum foeniculum) MiRNome的全基因组特征及其在智人和拟南芥中的潜在靶点鉴定:种间和种内计算审查。

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Tithi S. Trivedi, Aafrinbanu M. Shaikh, Archana U. Mankad, Rakesh M. Rawal, Saumya K. Patel
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引用次数: 0

摘要

microrna可能是各种疾病的有前途的生物标志物,小RNA药物已经被FDA批准用于临床。这一研究领域正在迅速扩大,未来具有巨大的潜力。茴香(Anethum foeniculum)是一种备受推崇的香料植物,具有经济和药用价值,使其成为制药工业的宝贵资产。通过功能富集分析和人类疾病相关性来表征茴香mirna及其拟南芥和智人靶点。基于同源性的计算方法表征了小茴香基因组的MiRnome,并评估了其对拟南芥和智人转录组的影响。此外,对这两个物种的靶点进行了功能富集分析。并结合PPI网络分析、枢纽基因鉴定和茴香miRNA对顶部枢纽节点的MD模拟分析。我们已经鉴定出100个茴香mirna及其靶基因,其中包括2536个智人基因和1314个拟南芥基因。功能富集分析显示,56个拟南芥靶点茴香miRNAs参与了代谢途径。高度富集的人类KEGG通路与几种疾病,特别是癌症有关。人体靶标蛋白-蛋白相互作用网络确定前10个节点;其中,7个枢纽节点,即MAPK1、PIK3R1、STAT3、EGFR、KRAS、CDC42和SMAD4,已显示其参与胰腺癌通路。基于Blast算法,预测21个茴香mirna与16个人类mirna同源;从中,CSPP1靶点是afo-miR11117a-3p和has-miR-6880-5p同源miRNAs的共同靶点。我们的研究结果首次报道了100种茴香miRNAs,并对其内源性和人类靶基因的预测为进一步了解茴香miRNAs及其相关的生物学过程和疾病提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genome-Wide Characterization of Fennel (Anethum foeniculum) MiRNome and Identification of its Potential Targets in Homo sapiens and Arabidopsis thaliana: An Inter and Intra-species Computational Scrutiny

Genome-Wide Characterization of Fennel (Anethum foeniculum) MiRNome and Identification of its Potential Targets in Homo sapiens and Arabidopsis thaliana: An Inter and Intra-species Computational Scrutiny

MicroRNAs could be promising biomarkers for various diseases, and small RNA drugs have already been FDA approved for clinical use. This area of research is rapidly expanding and has significant potential for the future. Fennel (Anethum foeniculum) is a highly esteemed spice plant with economic and medicinal benefits, making it an invaluable asset in the pharmaceutical industry. To characterize the fennel miRNAs and their Arabidopsis thaliana and Homo sapience targets with functional enrichment analysis and human disease association. A homology-based computational approach characterized the MiRnome of the Anethum foeniculum genome and assessed its impact on Arabidopsis thaliana and Homo sapience transcriptomes. In addition, functional enrichment analysis was evaluated for both species’ targets. Moreover, PPI network analysis, hub gene identification, and MD simulation analysis of the top hub node with fennel miRNA were incorporated. We have identified 100 miRNAs of fennel and their target genes, which include 2536 genes in Homo sapiens and 1314 genes in Arabidopsis thaliana. Functional enrichment analysis reveals 56 Arabidopsis thaliana targets of fennel miRNAs showed involvement in metabolic pathways. Highly enriched human KEGG pathways were associated with several diseases, especially cancer. The protein–protein interaction network of human targets determined the top ten nodes; from them, seven hub nodes, namely MAPK1, PIK3R1, STAT3, EGFR, KRAS, CDC42, and SMAD4, have shown their involvement in the pancreatic cancer pathway. Based on the Blast algorithm, 21 fennel miRNAs are homologs to 16 human miRNAs were predicted; from them, the CSPP1 target was a common target for afo-miR11117a-3p and has-miR-6880-5p homologs miRNAs. Our results are the first to report the 100 fennel miRNAs, and predictions for their endogenous and human target genes provide a basis for further understanding of Anethum foeniculum miRNAs and the biological processes and diseases with which they are associated.

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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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