Uncovering the pathogenesis of microtia using bioinformatics approach

Decreased Tiam1-mediated Rac1 activation is responsible for impaired directional persistence of chondrocyte migration in microtia

The human auricle has a complex structure, and microtia is a congenital malformation characterized by decreased size and loss of elaborate structure in the affected ear with a high incidence. Our previous studies suggest that inadequate cell migration is the primary cytological basis for the pathogenesis of microtia, however, the underlying mechanism is unclear. Here, we further demonstrate that microtia chondrocytes show a decreased directional persistence during cell migration. Directional persistence can define a leading edge associated with oriented movement, and any mistakes would affect cell function and tissue morphology. By the screening of motility-related genes and subsequent confirmations, active Rac1 (Rac1-GTP) is identified to be critical for the impaired directional persistence of microtia chondrocytes migration. Moreover, Rho guanine nucleotide exchange factors (GEFs) and Rho GTPase-activating proteins (GAPs) are detected, and overexpression of Tiam1 significantly upregulates the level of Rac1-GTP and improves directional migration in microtia chondrocytes. Consistently, decreased expression patterns of Tiam1 and active Rac1 are found in microtia mouse models, Bmp5se/J and Prkralear-3J/GrsrJ. Collectively, our results provide new insights into microtia development and therapeutic strategies of tissue engineering for microtia patients.

Uncovering the Pathogenesis of Orofacial Clefts Using Bioinformatics Analysis

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.

Bioinformatics analysis of candidate genes involved in ethanol-induced microtia pathogenesis based on a human genome database: GeneCards

OBJECTIVE

Ethanol used by women during pregnancy increases the risk for microtia in the foetus. Traditionally, laboratory experiments and Mouse Genome Informatics (MGI) have been used to explore microtia pathogenesis. The aim of this study was to screen and verify hub genes involved in ethanol-induced microtia and to explore the potential molecular mechanisms.

METHODS

Overlapping genes related to ethanol and microtia were acquired from the GeneCards database and filtered by confidence score. These genes were further analysed via bioinformatics. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis results were visualized with the clusterProfiler R package. A protein-protein interaction (PPI) network was constructed based on data from the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database.

RESULTS

Overall, 41 genes related to both ethanol and microtia were identified. The genes most relevant to ethanol-induced microtia pathogenesis included FGFR-2, FGFR-3, FGF-8, TP53, IGF1, SHH, CTNNB1, and PAX6, among others. Most genes were strongly enriched for tissue and organ development in GO analysis. Additionally, many genes were enriched in the Ras, FoxO, MAPK, and PI3K-Akt signalling pathways in KEGG analysis.

CONCLUSIONS

Bioinformatics analysis was conducted on genes currently known to be related to ethanol-induced microtia pathogenesis. We propose that mechanisms involving FGF-family genes, TP53, IGF1 and SHH contribute significantly to ethanol-induced microtia and the accompanying malformation of other structures.