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:Genomic structural variation (SV) can be thought of on a continuum from a single base pair insertion/deletion (INDEL) to large megabase-scale rearrangements involving insertions, deletions, duplications, inversions, or translocations of whole chromosomes or chromosome arms. These variants can occur in coding or noncoding DNA, they can be inherited or arise sporadically in the germline or somatic cells. Many of these events are segregating in the population and can be considered common alleles while others are new alleles and thus rare events. All species studied to date harbor structural variants and these may be benign, contributing to phenotypes such as sensory perception and immunity, or pathogenic resulting in genomic disorders including DiGeorge/velocardiofacial, Smith-Margenis, Williams-Beuren, and Prader-Willi syndromes. As structural variants are identified, validated, and their significance, origin, and prevalence are elucidated, it is of critical importance that these data be collected and collated in a way that can be easily accessed and analyzed. This chapter describes current structural variation online resources (see Fig. 1 and Table 1), highlights the challenges in capturing, storing, and displaying SV data, and discusses how dbVar and DGVa, the genomic structural variation databases developed at NCBI and EBI, respectively, were designed to address these issues.
Project description:Dictyostelium is an attractive model system for the study of mechanisms basic to cellular function or complex multicellular developmental processes. Recent advances in Dictyostelium genomics have generated a wide spectrum of resources. However, much of the current genomic sequence information is still not currently available through GenBank or related databases. Thus, many investigators are unaware that extensive sequence data from Dictyostelium has been compiled, or of its availability and access. Here, we discuss progress in Dictyostelium genomics and gene annotation, and highlight the primary portals for sequence access, manipulation and analysis (http://genome.imb-jena.de/dictyostelium/; http://dictygenome.bcm.tmc.edu/; http://www.sanger. ac.uk/Projects/D_discoideum/; http://www.csm.biol. tsukuba.ac.jp/cDNAproject.html).
Project description:The Human Ageing Genomic Resources (HAGR) is a collection of online resources for studying the biology of human ageing. HAGR features two main databases: GenAge and AnAge. GenAge is a curated database of genes related to human ageing. Entries were primarily selected based on genetic perturbations in animal models and human diseases as well as an extensive literature review. Each entry includes a variety of automated and manually curated information, including, where available, protein-protein interactions, the relevant literature, and a description of the gene and how it relates to human ageing. The goal of GenAge is to provide the most complete and comprehensive database of genes related to human ageing on the Internet as well as render an overview of the genetics of human ageing. AnAge is an integrative database describing the ageing process in several organisms and featuring, if available, maximum life span, taxonomy, developmental schedules and metabolic rate, making AnAge a unique resource for the comparative biology of ageing. Associated with the databases are data-mining tools and software designed to investigate the role of genes and proteins in the human ageing process as well as analyse ageing across different taxa. HAGR is freely available to the academic community at http://genomics.senescence.info.
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.
Project description:Transposable elements (TEs) are enriched in cytosine methylation, preventing their mobility within the genome. Two examples of TEs that escape this regulation are the murine-specific intracisternal A particle (IAP) elements Avy and AxinFu, which exhibit inter-individual variability in methylation associated with phenotypic variation. To determine the frequency of this phenomenon, its underlying mechanisms, and its effects on gene expression, we previously conducted a screen identifying variably methylated IAPs (VM-IAPs). Here, we fully validate these elements, categorising VM-IAPs for the first time into those exhibiting tissue specificity (tsVM-IAPs) and those showing uniform methylation among tissues (constitutive- or cVM-IAPs) with both types having the potential to regulate the genome in cis. Using our validated set of VM-IAPs, we explore how variable methylation is established and identify sequences enriched within cVM-IAPs, implicating genetics as a determinant of variability. CTCF, a methylation-sensitive transcription factor known for its role in facilitating chromatin interactions, is enriched at VM-IAPs and we show that CTCF binding is inversely correlated with methylation at cVM-IAPs. We uncover dynamic physical interactions between lowly-methylated cVM-IAPs and other genomic loci, suggesting that VM-IAPs have the potential for long-range genomic regulation. Lastly, screening for variably methylated regions in other TEs shows that this phenomenon is largely limited to IAPs, which are amongst the youngest and most active endogenous retroviruses. We propose that a recently evolved interplay between genetic sequence, CTCF binding, and DNA methylation at young TEs has the potential to cause inter-individual variability in transcriptional outcomes with implications for phenotypic variation.