Department of Plastic Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing.
Department of Dermatologic Surgery, Shandong Provincial Hospital for Skin Disease & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medial University & Shandong Academy of Medical Sciences, Shandong.
J Craniofac Surg. 2023;34(8):2560-2562. doi: 10.1097/SCS.0000000000009620. Epub 2023 Aug 29.
The purpose of this study is to accurately find the pathogenic genes of congenital microtia, so as to lay a theoretical foundation for genetic screening, diagnosis, and gene therapy of congenital microtia in the further stage.
In this study, the authors used public data from the Mouse Genome Informatics database. The authors used the String database ( https://string-db.org/ ) to construct the Protein-Protein Interaction network. Then Gene Ontology classification and Kyoto Encyclopedia of Genes and Genomes pathway analysis were performed for the pathogenic genes.
The authors searched the Mouse Genome Informatics database and found 84 pathogenic genes of congenital microtia. The Protein-Protein Interaction network for pathogenic genes was constructed, which contained 81 nodes and 148 lines with MCM5, CDT1, POLA1, CDC45, CDC6, EFTUD2, ORC1, ORC4, ORC6, and TCOF1 . The authors conducted a Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis on pathogenic genes, and the results showed that pathogenic genes were involved in O-mannan biosynthesis, cell cycle, RNA polymerase, and other signaling pathways.
The authors' results indicated that the occurrence of congenital microtia is attributed to a variety of genes. Furthermore, the interactions of pathogenic genes were further elucidated by using a bioinformatics approach. This study will help to reveal the pathogenesis of congenital microtia and lay the foundation for accurate diagnosis and treatment of congenital microtia in the future.
本研究旨在准确找到先天性小耳畸形的致病基因,为进一步阶段的先天性小耳畸形遗传筛查、诊断和基因治疗奠定理论基础。
本研究中,作者使用了 Mouse Genome Informatics 数据库中的公共数据。作者使用 String 数据库(https://string-db.org/)构建了蛋白质-蛋白质相互作用网络。然后,对致病基因进行了基因本体分类和京都基因与基因组百科全书通路分析。
作者从 Mouse Genome Informatics 数据库中搜索到 84 个先天性小耳畸形的致病基因。构建了致病基因的蛋白质-蛋白质相互作用网络,包含 81 个节点和 148 条线,其中包括 MCM5、CDT1、POLA1、CDC45、CDC6、EFTUD2、ORC1、ORC4、ORC6 和 TCOF1。作者对致病基因进行了京都基因与基因组百科全书通路富集分析,结果表明致病基因参与了 O-甘露聚糖生物合成、细胞周期、RNA 聚合酶等信号通路。
作者的结果表明,先天性小耳畸形的发生归因于多种基因。此外,作者还通过生物信息学方法进一步阐明了致病基因的相互作用。本研究将有助于揭示先天性小耳畸形的发病机制,并为未来先天性小耳畸形的准确诊断和治疗奠定基础。