Project description:Runx2 and Axin2 regulate skeletal development. We recently determined that Axin2 and Runx2 molecularly interact in differentiating osteoblasts to regulate intramembranous bone formation, but the relationship between these factors in endochondral bone formation was unresolved. To address this, we examined the effects of Axin2 deficiency on the cleidocranial dysplasia (CCD) phenotype of Runx2+/-M-BM- mice, focusing on skeletal defects attributed to improper endochondral bone formation. Axin2 deficiency unexpectedly exacerbated calvarial components of the CCD phenotype in the Runx2+/-M-BM- mice; the endocranial layer of the frontal suture, which develops by endochondral bone formation, failed to mineralize in the Axin2-/-:Runx2+/-mice, resulting in a cartilaginous, fibrotic and larger fontanel than observed in Runx2+/-M-BM- mice. Transcripts associated with cartilage development (e.g., Acan, miR140) were expressed at higher levels, whereas blood vessel morphogenesis transcripts (e.g., Slit2) were suppressed in Axin2-/-:Runx2+/-calvaria. Cartilage maturation was impaired, as primary chondrocytes from double mutant mice demonstrated delayed differentiation and produced less calcified matrix in vitro. The genetic dominance of Runx2 was also reflected during endochondral fracture repair, as both Runx2+/-M-BM- and double mutant Axin2-/-:Runx2+/-M-BM- mice had enlarged fracture calluses at early stages of healing. However, by the end stages of fracture healing, double mutant animals diverged from the Runx2+/-M-BM- mice, showing smaller calluses and increased torsional strength indicative of more rapid end stage bone formation as seen in the Axin2-/-M-BM- mice. Taken together, our data demonstrate a dominant role for Runx2 in chondrocyte maturation, but implicate Axin2 as an important modulator of the terminal stages of endochondral bone formation. 4 mice per genotype X 4 genotypes: wildtype (WT), Runx2+/- (R-Het), Axin2-/- (A-KO), Axin2-/-:Runx2+/- (A-KO:R-Het). Total = 16 samples

Project description:Runx2 and Axin2 regulate skeletal development. We recently determined that Axin2 and Runx2 molecularly interact in differentiating osteoblasts to regulate intramembranous bone formation, but the relationship between these factors in endochondral bone formation was unresolved. To address this, we examined the effects of Axin2 deficiency on the cleidocranial dysplasia (CCD) phenotype of Runx2+/- mice, focusing on skeletal defects attributed to improper endochondral bone formation. Axin2 deficiency unexpectedly exacerbated calvarial components of the CCD phenotype in the Runx2+/- mice; the endocranial layer of the frontal suture, which develops by endochondral bone formation, failed to mineralize in the Axin2-/-:Runx2+/-mice, resulting in a cartilaginous, fibrotic and larger fontanel than observed in Runx2+/- mice. Transcripts associated with cartilage development (e.g., Acan, miR140) were expressed at higher levels, whereas blood vessel morphogenesis transcripts (e.g., Slit2) were suppressed in Axin2-/-:Runx2+/-calvaria. Cartilage maturation was impaired, as primary chondrocytes from double mutant mice demonstrated delayed differentiation and produced less calcified matrix in vitro. The genetic dominance of Runx2 was also reflected during endochondral fracture repair, as both Runx2+/- and double mutant Axin2-/-:Runx2+/- mice had enlarged fracture calluses at early stages of healing. However, by the end stages of fracture healing, double mutant animals diverged from the Runx2+/- mice, showing smaller calluses and increased torsional strength indicative of more rapid end stage bone formation as seen in the Axin2-/- mice. Taken together, our data demonstrate a dominant role for Runx2 in chondrocyte maturation, but implicate Axin2 as an important modulator of the terminal stages of endochondral bone formation. 4 mice per genotype X 4 genotypes: wildtype (WT), Runx2+/- (R-Het), Axin2-/- (A-KO), Axin2-/-:Runx2+/- (A-KO:R-Het). Total = 16 samples

Project description:To assess the impact of a municiple effluent across different environments, a gradient design (upstream, downstream, and at effluent) was set up across three waste water treatment plant outflows in three different regions of MN. These three sites represents vastly different land use and contamination profiles. The upstream location at each site was used as a point of comparison to reduce site specific differences in water. Fish were exposed at three sites in three locations for 4 days. The objectives of the study were to 1). determine if biological impact of the effluent could be detected at the downstream site; 2). If the use of the upstream site would allow point source influence to be detected over the ambient level of biological activity; 3). if using functional analyses of transcriptomic results would show similarities between effleunt and downstream sites. The current series contains n=53 microarrays associated with fish exposed at three locations (upstream, effluent, downstream) at 3 different site R, H, E for 4 days until tissues were collected At the specific locations (UP, EF, DS), sexually mature female fathead minnows (SI-SM2) were exposed to location specific water in mini-mobile environmental monitoring units (MMU)14 for a period of 4d, at each of three sites (R, H, E) during the summer and fall of 2010 (SI-SM3). The MMUs allowed for consistency in aeration, temperature, and feeding. In the case of the riverine R and H sites, the MMU was supplied with a continuous flow of location-specific water. Due to logistical constraints, exposures at the lake site (E) were conducted under static renewal conditions within the MMUs. However, the cumulative number of daily water exchanges were equivalent to those in the flow-through studies. After exposure fish were anesthetized (buffered MS-222), and necropsied at a facility near the site, specific tissues were excised and flash frozen in liquid nitrogen, and stored at -80M-BM-0C. Gonads were removed from female and flash-frozen for gene expression analyses using microarray. Ovarian transcripts from six females per location (three locations per site, three sites) were analyzed using a custom 15,000 feature microarray (GEO Platform Accession GPL9248). Data sets for this phase (n=53 microarrays) were normalized independently using Fastlo (Ballman et al., 2004) implemented in R (http://www.r-project.org/), but analyzed using parallel approaches.

Dataset Information

Axin2/Runx2 mouse calvaria expression

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