涉及II类骨骼错颌的候选基因的MicroRNA调节因子-数据挖掘方法。

IF 0.1 Q4 DENTISTRY, ORAL SURGERY & MEDICINE International Journal of Orthodontic Rehabilitation Pub Date : 2023-10-16 DOI:10.56501/intjorthodrehabil.v14i3.904
Ashwin Mathew George, None Anitha P, Sumathi Felicita A, None Vijayashree Priyadharsini J, None Prasanna Arvind T.R
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 Epigenetic regulators play a vital role in determining a complex phenotype. The Skeletal Class II malocclusion is one such phenotype, which is a polygenic, complex disorder. The identification of epigenetic regulators would aid in understanding the complex relationship between the epigenetic marks and the phenotype. Also, these epigenetic marks can be considered for developing diagnostic leads upon validation for a specific disorder.
 Materials and methods:
 The present study follows an observational study design, which was performed using computational tools. The preliminary data about the genes associated with the Skeletal class II malocclusion was derived from DisGeNet, followed by identification of the protein-protein interaction networks. The microRNA targets were then identified using miRDB and the unique microRNA population common to all the five genes were further curated using the Venn plot.
 Results:
 The DisGeNet database provided information on the genes that were associated with skeletal Class II malocclusion. The five genes identified were ACTN3, GH1, HDAC4, HMGA2 and KAT6B. One microRNA, hsa-miR-892c-5p was unique to ACTN3, HDAC4 and HMGA2. The hsa-miR-3925-5p and hsa-miR-590-3p were found to be common to the genes ACTN3, HDAC4 and GH1 + HMGA2 respectively.
 Discussion:
 The identification of microRNAs targeting candidate genes could aid in defining the role of these microRNAs in establishing the phenotype. The future scope of this study lies in curating microRNAs that are common to class II malocclusion related candidate genes. This panel of differentially expressed microRNAs can further be developed as early diagnostic marker, for identifying the skeletal abnormality that they would be possibly associated with.
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 Materials and methods:
 The present study follows an observational study design, which was performed using computational tools. The preliminary data about the genes associated with the Skeletal class II malocclusion was derived from DisGeNet, followed by identification of the protein-protein interaction networks. The microRNA targets were then identified using miRDB and the unique microRNA population common to all the five genes were further curated using the Venn plot.
 Results:
 The DisGeNet database provided information on the genes that were associated with skeletal Class II malocclusion. The five genes identified were ACTN3, GH1, HDAC4, HMGA2 and KAT6B. One microRNA, hsa-miR-892c-5p was unique to ACTN3, HDAC4 and HMGA2. The hsa-miR-3925-5p and hsa-miR-590-3p were found to be common to the genes ACTN3, HDAC4 and GH1 + HMGA2 respectively.
 Discussion:
 The identification of microRNAs targeting candidate genes could aid in defining the role of these microRNAs in establishing the phenotype. The future scope of this study lies in curating microRNAs that are common to class II malocclusion related candidate genes. This panel of differentially expressed microRNAs can further be developed as early diagnostic marker, for identifying the skeletal abnormality that they would be possibly associated with.
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引用次数: 0

摘要

背景:& # x0D;表观遗传调控因子在决定复杂表型中起着至关重要的作用。骨骼II类错颌合就是这样一种表型,它是一种多基因的复杂疾病。表观遗传调控因子的鉴定有助于理解表观遗传标记与表型之间的复杂关系。此外,这些表观遗传标记可以考虑用于开发特定疾病验证的诊断线索。 材料和方法: 本研究采用观察性研究设计,使用计算工具进行。与骨骼II类错颌畸形相关的基因的初步数据来源于DisGeNet,随后鉴定了蛋白质-蛋白质相互作用网络。然后使用miRDB鉴定microRNA靶点,并使用Venn图进一步整理所有五个基因共有的独特microRNA群体。 结果:& # x0D;DisGeNet数据库提供了与骨骼II类错颌畸形相关的基因信息。鉴定出的5个基因分别为ACTN3、GH1、HDAC4、HMGA2和KAT6B。其中一个microRNA hsa-miR-892c-5p是ACTN3、HDAC4和HMGA2所特有的。发现hsa-miR-3925-5p和hsa-miR-590-3p分别与ACTN3、HDAC4和GH1 + HMGA2基因共有。 讨论:& # x0D;鉴定靶向候选基因的microrna有助于确定这些microrna在建立表型中的作用。本研究的未来范围在于筛选II类错颌合相关候选基因中常见的microrna。这组差异表达的microrna可以进一步发展为早期诊断标记物,用于识别骨骼异常,它们可能与。
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MicroRNA regulators of candidate genes involved in Class II skeletal malocclusion - A data mining approach.
Background: Epigenetic regulators play a vital role in determining a complex phenotype. The Skeletal Class II malocclusion is one such phenotype, which is a polygenic, complex disorder. The identification of epigenetic regulators would aid in understanding the complex relationship between the epigenetic marks and the phenotype. Also, these epigenetic marks can be considered for developing diagnostic leads upon validation for a specific disorder. Materials and methods: The present study follows an observational study design, which was performed using computational tools. The preliminary data about the genes associated with the Skeletal class II malocclusion was derived from DisGeNet, followed by identification of the protein-protein interaction networks. The microRNA targets were then identified using miRDB and the unique microRNA population common to all the five genes were further curated using the Venn plot. Results: The DisGeNet database provided information on the genes that were associated with skeletal Class II malocclusion. The five genes identified were ACTN3, GH1, HDAC4, HMGA2 and KAT6B. One microRNA, hsa-miR-892c-5p was unique to ACTN3, HDAC4 and HMGA2. The hsa-miR-3925-5p and hsa-miR-590-3p were found to be common to the genes ACTN3, HDAC4 and GH1 + HMGA2 respectively. Discussion: The identification of microRNAs targeting candidate genes could aid in defining the role of these microRNAs in establishing the phenotype. The future scope of this study lies in curating microRNAs that are common to class II malocclusion related candidate genes. This panel of differentially expressed microRNAs can further be developed as early diagnostic marker, for identifying the skeletal abnormality that they would be possibly associated with.
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来源期刊
International Journal of Orthodontic Rehabilitation
International Journal of Orthodontic Rehabilitation DENTISTRY, ORAL SURGERY & MEDICINE-
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