Project description:Despite recent technological advances, novel allergen discovery is limited by the low abundance of particular allergenic proteins, the large diversity of allergen sources, and the high variability in patient IgE antibody reactivity due to study specific populations. Here we describe a comprehensive discovery pipeline for allergenic proteins that accounts for biological and molecular variability using allergenomics, high-throughput screening of genomic databases and high-resolution mass spectrometry.
Project description:Vocal learning and neuronal replacement have been studied extensively in the songbird brain, but until recently, few molecular and genomic tools have been available for this work. Here we describe new molecular/genomic resources for songbird research. We made cDNA libraries from zebra finch (Taeniopygia guttata) brains at different developmental stages. A total of 11000 clones were sequenced from these libraries, representing 5870 unique gene transcripts. A web-based database has been established for sequence analysis and functional annotations. The cDNA libraries were not normalized. Sequence analysis revealed that a cDNA library made from brains at post-hatching day 30-50, when the song system goes through rapid development and birds learn to sing, shows the highest gene discovery rate. We grouped genes into functional categories according to the Gene Ontology classification and found that expression of the functional categories changed as the brain developed. We also identified five microRNAs whose sequences are highly conserved between zebra finch and other species. We printed cDNA microarrays and profiled gene expression in the HVC of both adult male zebra finches and canaries (Serinus canaria). Statistical Analysis of Microarrays (SAM) was used for data analysis. A subset of the differentially regulated genes was validated by in situ hybridization. The bioinformatic tools EASE and Ingenuity Pathway Analysis were used to identify over-represented functional groups and gene networks among the regulated genes. These resources provide songbird biologists with tools for genome annotation, comparative genomics, and microarray gene expression analysis. Keywords: HVC, songbird, cDNA microarray, gene expression
Project description:Genotyping studies suggest that there is genetic variability among P. gingivalis strains, however the extent of variability remains unclear, and the regions of variability have only partially been identified. We previously used heteroduplex analysis of the ribosomal operon intergenic spacer region (ISR) to type P. gingivalis strains in several diverse populations, identifying 6 predominant heteroduplex types and many minor ones. In addition we used ISR sequence analysis to determine the relatedness of P. gingivalis strains to one another, and demonstrated a link between ISR sequence phylogeny and the disease-associated phenotype of P. gingivalis strains. The availability of whole genome microarrays based on the genomic sequence of strain W83 has allowed a more comprehensive analysis of P. gingivalis strain variability, using the entire genome. The objectives of this study were to define the phylogeny of P. gingivalis strains using the entire genome, to compare the phylogeny based on genome content to the phylogeny based on a single locus (ISR), and to identify genes that are associated with the strongly disease-associated strain W83 that could be important for virulence. Keywords: Comparative genomic hybridization
Project description:Interventions: Genomic test CANCERPLEX-JP OncoGuide NCC oncopanel system FndationONe CDx genome profile GUARDANT360 MSI Analysis System BRACAnalysis
Primary outcome(s): Development of genome database
Study Design: Single arm Non-randomized
Project description:Genotyping studies suggest that there is genetic variability among P. gingivalis strains, however the extent of variability remains unclear, and the regions of variability have only partially been identified. We previously used heteroduplex analysis of the ribosomal operon intergenic spacer region (ISR) to type P. gingivalis strains in several diverse populations, identifying 6 predominant heteroduplex types and many minor ones. In addition we used ISR sequence analysis to determine the relatedness of P. gingivalis strains to one another, and demonstrated a link between ISR sequence phylogeny and the disease-associated phenotype of P. gingivalis strains. The availability of whole genome microarrays based on the genomic sequence of strain W83 has allowed a more comprehensive analysis of P. gingivalis strain variability, using the entire genome. The objectives of this study were to define the phylogeny of P. gingivalis strains using the entire genome, to compare the phylogeny based on genome content to the phylogeny based on a single locus (ISR), and to identify genes that are associated with the strongly disease-associated strain W83 that could be important for virulence. Keywords: Comparative genomic hybridization Comparative genomic analysis of 7 clinically prevalent P. gingivalis strains was performed, using whole genome microarrays based on the sequence of strain W83. Strain W83 was the reference strains and there were 6 test strains. Flip-dye replicates were performed.