Bioinformatic analysis of Msx1 and Msx2 involved in craniofacial development
| Autor: | Yuefu Dong, Zhifang Mou, Tong Yang, Shunyao Shen, Steve Guofang Shen, Jiewen Dai |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Candidate gene
Cleft Lip DNA Mutational Analysis Genome-wide association study medicine.disease_cause Craniofacial Abnormalities TP63 Databases Genetic Medicine Humans Craniofacial Gene Alleles Genetic Association Studies Genetics Homeodomain Proteins MSX1 Transcription Factor Mutation Polymorphism Genetic business.industry Computational Biology General Medicine Cleft Palate stomatognathic diseases Otorhinolaryngology Surgery IRF6 business PAX9 Genome-Wide Association Study Signal Transduction |
| Zdroj: | The Journal of craniofacial surgery. 25(1) |
| ISSN: | 1536-3732 |
| Popis: | Msx1 and Msx2 were revealed to be candidate genes for some craniofacial deformities, such as cleft lip with/without cleft palate (CL/P) and craniosynostosis. Many other genes were demonstrated to have a cross-talk with MSX genes in causing these defects. However, there is no systematic evaluation for these MSX gene-related factors. In this study, we performed systematic bioinformatic analysis for MSX genes by combining using GeneDecks, DAVID, and STRING database, and the results showed that there were numerous genes related to MSX genes, such as Irf6, TP63, Dlx2, Dlx5, Pax3, Pax9, Bmp4, Tgf-beta2, and Tgf-beta3 that have been demonstrated to be involved in CL/P, and Fgfr2, Fgfr1, Fgfr3, and Twist1 that were involved in craniosynostosis. Many of these genes could be enriched into different gene groups involved in different signaling ways, different craniofacial deformities, and different biological process. These findings could make us analyze the function of MSX gens in a gene network. In addition, our findings showed that Sumo, a novel gene whose polymorphisms were demonstrated to be associated with nonsyndromic CL/P by genome-wide association study, has protein-protein interaction with MSX1, which may offer us an alternative method to perform bioinformatic analysis for genes found by genome-wide association study and can make us predict the disrupted protein function due to the mutation in a gene DNA sequence. These findings may guide us to perform further functional studies in the future. |
| Databáze: | OpenAIRE |
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