Antisense RNAs (asRNAs) as key players in gallbladder cancer progression: a bioinformatics analysis.

Q3 Medicine
Monika Rajput, Ruhi Dixit, Manoj Pandey, Vijay Kumar Shukla
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Abstract

Aim: This study reports differential expression of Antisense RNAs (asRNAs) by analyzing transcriptomic profiles in gallbladder cancer (GBC).

Background: asRNAs play crucial roles in developing various tumors. However, the presence and biological mechanism of asRNAs in GBC development are still unknown.

Methods: Differentially expressed asRNAs (DE-asRNAs) were systematically identified from RNA sequencing data \ from ten GBC patients. Functional enrichment analysis was performed, followed by the identification of mRNAs targeted by asRNAs and the construction of a gene regulatory network of asRNAs targeting mRNAs.

Results: Of the 891 asRNAs identified, 17 DE-asRNAs were statistically significant. Out of 17, 12 asRNAs were upregulated, and five asRNAs were downregulated. Functional enrichment analysis showed their role in methylation and developmental processes. Of the 17 asRNAs, 14 are novel (UNC5B-AS1, SLC2A1-AS1, BBOX1-AS1, SOX21-AS1, ELFN1-AS1, TRPM2-AS, DNAH17-AS1, DCST1-AS1, VPS9D1-AS1, MIR1-1HG-AS1, HAND2-AS1, PGM5P4-AS1, PGM5P3-AS1, and MAGI2-AS). Enrichment analysis of asRNAs with target mRNAs showed enrichment in biological regulation and developmental processes involved in the PI3K, p53, apoptosis, and VEGF signaling pathways.

Conclusion: This study identified 14 asRNAs for the first time and showed that asRNAs targeting mRNAs strongly associated with tumor development in GBC through the PI3KCA and TP53 pathways.

Abstract Image

Abstract Image

反义rna (asrna)在胆囊癌进展中的关键作用:生物信息学分析。
目的:本研究通过分析胆囊癌(GBC)中反义rna (asRNAs)的转录组学特征,报道其差异表达。背景:asRNAs在各种肿瘤的发生中起着至关重要的作用。然而,asRNAs在GBC发生中的存在及其生物学机制尚不清楚。方法:从10例GBC患者的RNA测序数据中系统鉴定差异表达的asRNAs (DE-asRNAs)。进行功能富集分析,鉴定asRNAs靶向的mrna,构建asRNAs靶向mrna的基因调控网络。结果:在鉴定的891个asRNAs中,17个DE-asRNAs具有统计学意义。在这17个基因中,12个asrna表达上调,5个asrna表达下调。功能富集分析显示了它们在甲基化和发育过程中的作用。在17种asrna中,14种是新发现的(UNC5B-AS1、SLC2A1-AS1、BBOX1-AS1、SOX21-AS1、ELFN1-AS1、TRPM2-AS、DNAH17-AS1、DCST1-AS1、VPS9D1-AS1、mir1 - 1mg - as1、HAND2-AS1、PGM5P4-AS1、PGM5P3-AS1和MAGI2-AS)。靶mrna的富集分析显示,asrna富集涉及PI3K、p53、凋亡和VEGF信号通路的生物学调控和发育过程。结论:本研究首次鉴定出14种asRNAs,表明asRNAs通过PI3KCA和TP53通路靶向GBC中与肿瘤发展密切相关的mrna。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
29
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