Discordant growth of nasal cartilage and bone contributes to phenotypic variability of the skull in a mouse model.

BACKGROUND: We previously determined a nonlinear relationship between connexin 43 (Cx43) function and craniofacial phenotypic variation in the mutant mouse model G60S/+, and that this variation was driven by nasal bone deviation. While nonlinearities in the genotype-phenotype map appear to be common, few studies have looked at the developmental processes that underlie this nonlinearity. Here, we investigated the potential tissue-level developmental determinants of the variation in nasal bone phenotype in G60S/+ mice through postnatal development. RESULTS: The deviated nasal bone phenotype arises by postnatal day 21 and becomes more severe by 3 months in G60S/+ mice. Measures of nasal bone remodeling including the number of osteoclasts, mineralizing surface, mineral apposition rate, and bone formation rate are significantly greater in G60S/+ mice compared to wild-type mice at 2 months, but these differences do not correspond with nasal bone deviation. The degree of nasal bone deviation does significantly and negatively correlate with the ratio between nasal bone and cartilaginous nasal septum length. CONCLUSIONS: Our findings indicate that the mean phenotypic changes observed between G60S/+ and wild-type mice are due to reduced bone growth, but the increased phenotypic variation found within mutant mice is due to discordant growth between nasal cartilage and bone.

Effects of Reduced Connexin43 Function on Mandibular Morphology and Osteogenesis in Mutant Mouse Models of Oculodentodigital Dysplasia.

Mutations in the gene encoding the gap-junctional protein connexin43 (Cx43) are the cause of the human disease oculodentodigital dysplasia (ODDD). The mandible is often affected in this disease, with clinical reports describing both mandibular overgrowth and conversely, retrognathia. These seemingly opposing observations underscore our relative lack of understanding of how ODDD affects mandibular morphology. Using two mutant mouse models that mimic the ODDD phenotype (I130T/+ and G60S/+), we sought to uncover how altered Cx43 function may affect mandibular development. Specifically, mandibles of newborn mice were imaged using micro-CT, to enable statistical comparisons of shape. Tissue-level comparisons of key regions of the mandible were conducted using histomorphology, and we quantified the mRNA expression of several cartilage and bone cell differentiation markers. Both G60S/+ and I130T/+ mutant mice had altered mandibular morphology compared to their wildtype counterparts, and the morphological effects were similarly localized for both mutants. Specifically, the biggest phenotypic differences in mutant mice were focused in regions exposed to mechanical forces, such as alveolar bone, muscular attachment sites, and articular surfaces. Histological analyses revealed differences in ossification of the intramembranous bone of the mandibles of both mutant mice compared to their wildtype littermates. However, chondrocyte organization within the secondary cartilages of the mandible was unaffected in the mutant mice. Overall, our results suggest that the morphological differences seen in G60S/+ and I130T/+ mouse mandibles are due to delayed ossification and suggest that mechanical forces may exacerbate the effects of ODDD on the skeleton.

Bioinformatics Resources for MicroRNA Discovery.

Biomarker identification is often associated with the diagnosis and evaluation of various diseases. Recently, the role of microRNA (miRNA) has been implicated in the development of diseases, particularly cancer. With the advent of next-generation sequencing, the amount of data on miRNA has increased tremendously in the last decade, requiring new bioinformatics approaches for processing and storing new information. New strategies have been developed in mining these sequencing datasets to allow better understanding toward the actions of miRNAs. As a result, many databases have also been established to disseminate these findings. This review focuses on several curated databases of miRNAs and their targets from both predicted and validated sources.