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DOI 10.1097/scs.0000000000008560

Медицинская библиотека · The Journal of craniofacial surgery · 2022

Uncovering the Pathogenesis of Orofacial Clefts Using Bioinformatics Analysis.

Dong Xinxin, Meng Teng, Lei Liu

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Аннотация

OBJECTIVE

Many genes have been found to be associated with the occurrence of the orofacial clefts (OFC). The links between these pathogenic genes are rarely studied. In this study, bioinformatics analysis were performed in order to find associations between OFC- related genes and provide new ideas for etiology study of OFCs.

METHODS

Orofacial clefts-related genes were searched and identified from the Online Mendelian Inheritance of Man (OMIM.org). These genes were then analyzed by bioinformatics methods, including protein-protein interaction network, functional enrichment analysis, module analysis, and hub genes analysis.

RESULTS

After searching the database of OMIM.org and removing duplicate results, 279 genes were finally obtained. These genes were involved to 369 pathways in biological process, 56 in cell component, 64 in molecular function, and 45 in the Kyoto Encyclopedia of Genes and Genomes. Most identified genes were significantly enriched in embryonic appendage morphogenesis (29.17%), embryonic limb morphogenesis (6.06%), and limb development (4.33%) for biological process ( Fig. 5A ); ciliary tip (42.86%), MKS complex (28.57%), ciliary basal body (14.29%), and ciliary membrane (14.29%) for cell component. The top 10 hub genes were identified, including SHH, GLI2, PTCH1, SMAD4, FGFR1, BMP4, SOX9, SOX2, RUNX2 , and CDH1.

CONCLUSIONS

Bioinformatics methods were used to analyze OFC- related genes in this study, including hub gene identifying and analysis, protein - protein interaction network construction, and functional enrichment analysis. Several potential mechanisms related to occurrence of OFCs were also discussed. These results may be helpful for further studies of the etiology of OFC.

Для цитирования: Dong Xinxin, Meng Teng, Lei Liu. Uncovering the Pathogenesis of Orofacial Clefts Using Bioinformatics Analysis.. The Journal of craniofacial surgery. 2022. DOI: 10.1097/scs.0000000000008560.

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