比较转录组学数据分析揭示 E2F 靶点是智力障碍疾病中过度表达的重要生物通路

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Bioinformatics and Biology Insights Pub Date : 2024-02-13 eCollection Date: 2024-01-01 DOI:10.1177/11779322231224665
Prekshi Garg, Farrukh Jamal, Prachi Srivastava
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引用次数: 0

摘要

智力障碍(ID)是一种以智力功能和适应行为受损为特征的儿童早期神经发育障碍。它是全球神经发育障碍领域的主要问题之一。为解决这一问题,人们提出了多种方法。在所有这些方法中,高通量转录组分析占据了重要地位。由于使用了先进的高通量测序平台,在过去的 3 至 5 年中,对导致智障的基因的鉴定迅速增加。早期监测和预防对此类疾病非常重要,因为它们的进展发生在胎儿发育过程中。本研究试图通过对现有的转录组学数据进行比较分析,找出与 ID 患者发育有关的差异表达基因(DEGs)和上调的生物过程。研究人员从美国国家生物技术信息中心(NCBI)检索到共 7 项转录组学研究,并在比对前进行了质量检查和修剪。使用 Rstudio 的 DESeq2 和 EdgeR 软件包进行归一化和差异表达分析,以确定 ID 中的 DEGs。在研究过程中,使用基因组富集分析(GSEA)工具对 DESeq2 和 EdgeR 得出的结果进行了功能富集分析,以确定 ID 中涉及的主要上调生物过程。我们的研究结果表明,在个体发育阶段监测 E2F 靶点、雌激素以及氧化磷酸化、DNA 修复和糖酵解相关基因的水平有助于早期检测 ID 疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Transcriptomics Data Profiling Reveals E2F Targets as an Important Biological Pathway Overexpressed in Intellectual Disability Disorder.

Intellectual disability (ID) is an early childhood neurodevelopmental disorder that is characterized by impaired intellectual functioning and adaptive behavior. It is one of the major concerns in the field of neurodevelopmental disorders across the globe. Diversified approaches have been put forward to overcome this problem. Among all these approaches, high throughput transcriptomic analysis has taken an important dimension. The identification of genes causing ID rapidly increased over the past 3 to 5 years owing to the use of sophisticated high throughput sequencing platforms. Early monitoring and preventions are much important for such disorder as their progression occurs during fetal development. This study is an attempt to identify differentially expressed genes (DEGs) and upregulated biological processes involved in development of ID patients through comparative analysis of available transcriptomics data. A total of 7 transcriptomic studies were retrieved from National Center for Biotechnology Information (NCBI) and were subjected to quality check and trimming prior to alignment. The normalization and differential expression analysis were carried out using DESeq2 and EdgeR packages of Rstudio to identify DEGs in ID. In progression of the study, functional enrichment analysis of the results obtained from both DESeq2 and EdgeR was done using gene set enrichment analysis (GSEA) tool to identify major upregulated biological processes involved in ID. Our findings concluded that monitoring the level of E2F targets, estrogen, and genes related to oxidative phosphorylation, DNA repair, and glycolysis during the developmental stage of an individual can help in the early detection of ID disorder.

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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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