In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.

Q: The molecular signals that regulate growth and branching of the ureteric bud during formation of the renal collecting system are largely undefined. Members of the bone morphogenetic protein (BMP) family signal through the type I BMP receptor ALK3 to inhibit ureteric bud and collecting duct cell morphogenesis in vitro. We investigated the function of the BMP signaling pathway in vivo by generating a murine model of ALK3 deficiency restricted to the ureteric bud lineage (Alk3(UB-/-) mice). At the onset of branching morphogenesis, Alk3(UB-/-) kidneys are characterized by an abnormal primary (1 degrees ) ureteric bud branch pattern and an increased number of ureteric bud branches. However, during later stages of renal development, Alk3(UB-/-) kidneys have fewer ureteric bud branches and collecting ducts than wild-type kidneys. Postnatal Alk3(UB-/-) mice exhibit a dysplastic renal phenotype characterized by hypoplasia of the renal medulla, a decreased number of medullary collecting ducts, and abnormal expression of beta-catenin and c-MYC in medullary tubules. In summary, normal kidney development requires ALK3-dependent BMP signaling, which controls ureteric bud branching.

A: BMP receptor ALK3 controls collecting system development.
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Q: OBJECTIVE To identify the spatial and temporal clusters of Barmah Forest virus (BFV) disease in Queensland in Australia, using geographical information systems and spatial scan statistic (SaTScan).
METHODS We obtained BFV disease cases, population and statistical local areas (SLAs) boundary data from Queensland Health and Australian Bureau of Statistics, respectively, during 1992-2008 for Queensland. A retrospective Poisson-based analysis using SaTScan software and method was conducted to identify both purely spatial and space-time BFV disease high-rate clusters. A spatial cluster size of a proportion of the population and a 200 km radius and varying time windows from 1 to 12 months were chosen (for the space-time analysis).
RESULTS The spatial scan statistic detected a most likely significant purely spatial cluster (including 23 SLAs) and a most likely significant space-time cluster (including 24 SLAs) in approximately the same location. Significant secondary clusters were also identified from both the analyses in several locations.
CONCLUSIONS This study provides evidence of the existence of statistically significant BFV disease clusters in Queensland, Australia. The study also demonstrated the relevance and applicability of SaTScan in analysing ongoing surveillance data to identify clusters to facilitate the development of effective BFV disease prevention and control strategies in Queensland, Australia.

A: Spatial and temporal clusters of Barmah Forest virus disease in Queensland, Australia.
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Q: Kit/SCF signaling and Mitf-dependent transcription are both essential for melanocyte development and pigmentation. To identify Mitf-dependent Kit transcriptional targets in primary melanocytes, microarray studies were undertaken. Among identified targets was BCL2, whose germline deletion produces melanocyte loss and which exhibited phenotypic synergy with Mitf in mice. BCL2's regulation by Mitf was verified in melanocytes and melanoma cells and by chromatin immunoprecipitation of the BCL2 promoter. Mitf also regulates BCL2 in osteoclasts, and both Mitf(mi/mi) and Bcl2(-/-) mice exhibit severe osteopetrosis. Disruption of Mitf in melanocytes or melanoma triggered profound apoptosis susceptible to rescue by BCL2 overexpression. Clinically, primary human melanoma expression microarrays revealed tight nearest neighbor linkage for MITF and BCL2. This linkage helps explain the vital roles of both Mitf and Bcl2 in the melanocyte lineage and the well-known treatment resistance of melanoma.

A:
Bcl2 Regulation by the Melanocyte Master Regulator Mitf Modulates Lineage Survival and Melanoma Cell Viability
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