The story of RP10: A positional cloning approach to the identification of an autosomal dominant retinitis pigmentosa gene

Retinitis pigmentosa (RP) is an inherited retinal degenerative disease that is the leading cause of inherited blindness worldwide. Characteristic features of the disease include night blindness, progressive loss of visual fields, and deposition of pigment on the retina in a bone spicule-like pattern. RP is marked by extreme genetic heterogeneity with at least 19 autosomal dominant, autosomal recessive and X-linked loci identified. RP10, which maps to chromosome 7q, was the fifth autosomal dominant RP locus identified, and accounts for the early-onset disease in two independent families. Extensive linkage and haplotype analyses have been performed in these two families which have allowed the assignment of the disease locus to a 5-cM region on chromosome 7q31.3. In collaboration with Dr. Eric Green (National Center for Human Genome Research, National Institutes of Health), a well-characterized physical map of the region was constructed which includes YAC, BAC and cosmid coverage. The entire RP10 critical region resides within a 9-Mb well-characterized YAC contig. These physical maps not only provided the resources to undertake the CAIGES (cDNA amplification for identification of genomic expressed sequences) procedure for identification of retinal candidate genes within the critical region, but also identified a number of candidate genes, including transducin-$\gamma$ and blue cone pigment genes. All candidate genes examined were excluded. In addition, a number of ESTs were mapped within the critical region. EST20241, which was isolated from an eye library, corresponded to the 3$\sp\prime$ region of the ADP-ribosylation factor (ARF) 5 gene. ARF5, with its role in vesicle transport and possible participation in the regulation of the visual transduction pathway, became an extremely interesting candidate gene. Using a primer walking approach, the entire 3.2 kb genomic sequence of the ARF5 gene was generated and developed intronic primers to screen for coding region mutations in affected family members. No mutations were found in the ARF5 gene, however, a number of additional ESTs have been mapped to the critical region, and, as the large-scale sequencing projects get underway, megabases of raw sequence data from the RP10 region are becoming available. These resources will hasten the isolation and characterization of the RP10 gene. ^

Dengue transmission risk maps of the continental United States

Dengue fever is a strictly human and non-human primate disease characterized by a high fever, thrombocytopenia, retro-orbital pain, and severe joint and muscle pain. Over 40% of the world population is at risk. Recent re-emergence of dengue outbreaks in Texas and Florida following the re-introduction of competent Aedes mosquito vectors in the United States have raised growing concerns about the potential for increased occurrences of dengue fever outbreaks throughout the southern United States. Current deficiencies in vector control, active surveillance and awareness among medical practitioners may contribute to a delay in recognizing and controlling a dengue virus outbreak. Previous studies have shown links between low-income census tracts, high population density, and dengue fever within the United States. Areas of low-income and high population density that correlate with the distribution of Aedes mosquitoes result in higher potential for outbreaks. In this retrospective ecologic study, nine maps were generated to model U.S. census tracts’ potential to sustain dengue virus transmission if the virus was introduced into the area. Variables in the model included presence of a competent vector in the county and census tract percent poverty and population density. Thirty states, 1,188 counties, and 34,705 census tracts were included in the analysis. Among counties with Aedes mosquito infestation, the census tracts were ranked high, medium, and low risk potential for sustained transmission of the virus. High risk census tracts were identified as areas having the vector, ≥20% poverty, and ≥500 persons per square mile. Census tracts with either ≥20% poverty or ≥500 persons per square mile and have the vector present are considered moderate risk. Census tracts that have the vector present but have <20% poverty and <500 persons per square mile are considered low risk. Furthermore, counties were characterized as moderate risk if 50% or more of the census tracts in that county were rated high or moderate risk, and high risk if 25% or greater were rated high risk. Extreme risk counties, which were primarily concentrated in Texas and Mississippi, were considered having 50% or greater of the census tracts ranked as high risk. Mapping of geographic areas with potential to sustain dengue virus transmission will support surveillance efforts and assist medical personnel in recognizing potential cases. ^

Identification and characterization of cellular genes differentially expressed in a subset of tumors with non -functional WT1

Wilms tumor (WT) or nephroblastoma is a genetically heterogeneous pediatric renal tumor that accounts for 6–7% of all childhood cancers in the U.S. WT1, located at 11p13, is the sole WT gene cloned to date. Additional genomic regions containing genes that play a role in the development of Wilms tumor include 11p15, 7p, 16q, 1p, 17q and 19q. This heterogeneity has made it extremely difficult to develop an understanding of the pathways involved in the development of WT, even in the 5–20% of tumors that show mutations at the WT1 locus. My research addresses this gap in our current comprehension of the development of WT. ^ I have used two complementary approaches to extend the current understanding of molecular changes involved in the development of WT. In order to minimize complexities due to genetic heterogeneity, I confined my analysis to the WT1 pathway by assessing those genetically defined tumors that carry WT1 mutations. WT1 encodes a zinc finger transcription factor, and in vitro studies have identified many genes that are potentially regulated in vivo by WT1. However, there is very little in vivo data that suggests that they are transcriptionally regulated endogenously by WT1. In one approach I assessed the role of WT1 in the in vivo regulation of PDGFA and IGF2, two genes that are strong contenders for endogenous regulation by WT1. Using primary tissue samples, I found no correlation between the level of RNA expression of WT1 with either PDGFA or IGF2, suggesting that WT1 does not play a critical role in their expression in either normal kidney or WT. ^ In a parallel strategy, using differential display analysis I compared global gene expression in a subset of tumors with known homozygous inactivating WT1 mutations (WT1-tumors) to the gene expression in a panel of appropriate control tissues (fetal kidney, normal kidney, rhabdoid tumor and pediatric renal cell carcinoma). Transcripts that are aberrantly expressed in this subset of Wilms tumors are candidates for endogenous transcriptional regulation by WT1 as well as for potentially functioning in the development of WT. By this approach I identified several differentially expressed transcripts. I further characterized two of these transcripts, identifying a candidate WT gene in the process. I then performed a detailed analysis of this WT candidate gene, which maps to 7p. Future studies will shed more light on the role of these differentially expressed genes in WT. ^