Project description:To understand the funtion of Colorectal cancer GWAS results, we perform a comprehensive analysis using biofeatures of HCT116 colon cancer cell line and got a list of risk-asscociated SNP. Risk-associated SNP are likely exerting their effects through promoters or enhancer. In order to understand the importance of the genes with risk-associated SNP in their promoters and enhancers' putatively targeted genes, we did a comparison of these genes between HCT116 colon cancer cell and normal colon and try to understand their function
Project description:To understand the funtion of Colorectal cancer GWAS results, we perform a comprehensive analysis using biofeatures of HCT116 colon cancer cell line and got a list of risk-asscociated SNP. Risk-associated SNP are likely exerting their effects through promoters or enhancer. In order to understand the importance of the genes with risk-associated SNP in their promoters and enhancers' putatively targeted genes, we did a comparison of these genes between HCT116 colon cancer cell and normal colon and try to understand their function Two biological replicates of HCT116 were compared to the data of two normal colon samples already deposited in GEO (GSM1010974 and GSM1010942).
Project description:This SuperSeries is composed of the following subset Series: GSE23120: Basal gene expression data from Human Variation Panel GSE24245: Genome-wide SNP array data from Human Variation Panel by Illumina 510S GSE24260: Genome-wide SNP array data from Human Variation Panel by Illumina 550K GSE24274: Genome-wide SNP array data from Human Variation Panel by Illumina 650K Refer to individual Series
Project description:The goal of our study was to determine the effect the TRPV1 I585V SNP has on lung cells. NHBE cells, obtained from 4 different donor (Lonza), were genotyped to identify the presence of the TRPV1 SNP I585V. Of the 4 patient samples, 2 were heterozygous for the I585V SNP and 2 expressed WT TRPV1. These cells were plated in 12 well plates and treated with Coal Fly Ash (CFA) at multiple concentrations and capsasian. Differences between the patient samples were assessed.
Project description:1. Determination of serum expression level of HOTTIP and EIF4EBP1(Eukaryotic translation initiation factor 4E-binding protein 1) .
2. Investigation of the SNP HOTTIP rs1859168 and it’s association with CRC susceptibility.
3. Determination of serum level of Interleukin -6 and its relation to other studied genes.
4. Correlation of the expression of these genes with various stages of CRC to determine the prognostic value of each of them.
Project description:We profiled androgen receptor (AR) genomic targets using high-throughput sequencing of chromatin-immunoprecipitated (ChIP) DNA from TMPRSS2-ERG fusion gene positive DUCaP prostate cancer cells. ChIp-seq and microarray gene expression profiling datasets were integrated with the NHGRI GWAS PCa risk SNPs catalog to identify disease susceptibility SNPs localized within functional androgen receptor binding sites (ARBSs). Eighty GWAS index or linked SNPs were found to be localized in ARBSs. Among these rs11891426:T>G in the 7th intron of the melanophilin gene was found located within a novel putative auxiliary AR binding motif, which we found enriched in the neighborhood of canonical androgen responsive elements. T→G exchange attenuated the transcriptional activity of the ARBS in an AR reporter gene assay of prostate cancer cell models. It went also in line with decreased melanophilin protein level in primary prostate tumors with G allele.These results unravel a hidden link between androgen receptor and a functional PCa risk SNP, whose allele alteration affects androgen regulation of its host gene melanophilin . Genomic profile of androgen receptor binding sites of androgen or vehicle treated DUCaP cells using ChIP-seq. IgG precipiated DNAs from both treatments served as controls.
Project description:Gene expression is regulated by genetic variants and DNA methylation with evidence from molecular biology studies, as well as expression QTL (eQTL) mapping and methylation QTL (mQTL) mapping. In this study, we explored the interaction between genetic variants and DNA methylation for its influence on gene expression. We analyzed a postmortem brain data and identified 2,768 SNP-methylation interaction (SMI) that can survive Bonferroni correction for the number of tests in cis- region of each gene. Seven SNP-methylation pairs were significant after Bonferroni correction for all the tests, including number of gene expression traits, we performed in this study. Only a small proportion of the SMI had evidence from the exact same SNP-transcript pair in eQTL mapping or SNP-methylation pair in mQTL mapping. This suggested that the interaction analysis could uncover novel regulatory relationships, which would be missed by eQTL or mQTL analyses. Since methylation per se is regulated by both genetic and environmental factors, analysis indicates that the SMI detected in this study may involve both genetic and environmental regulation. A total of 155 postmortem cerebellum brains were used in this study, including 47 bipolar disorder, 46 schizophrenia, 15 depression patients and 47 normal controls. All were of European Ancestry. We also designed 13 random replicates in our experiment. Illumina Infinium HumanMethylation27 BeadChip was used for DNA methylation profiling. The assay was performed at the Genomics Core Facility at Northwestern University.
Project description:We performed whole genome single nucleotide polymorphism (SNP) based analysis of all available Venezuelan equine encephalitis (VEE) virus antigenic complex genomes and developed a high resolution genome-wide SNP microarray. We used the SNP microarray to analyze a broad panel of VEEV isolates, found excellent concordance between array and sequence based genotypes for previously sequenced strains, and genotyped unsequenced strains.
Project description:Evolutionary alterations to cis-regulatory sequences are likely to cause adaptive phenotypic complexity, through orchestrating changes in cellular proliferation, identity and communication. For non-model organisms with adaptive key-innovations, patterns of regulatory evolution have been predominantly limited to targeted sequence-based analyses. Chromatin-immunoprecipitation with high-throughput sequencing (ChIP-seq) is a technology that has only been used in genetic model systems and is a powerful experimental tool to screen for active cis-regulatory elements. Here, we show that it can also be used in ecological model systems and permits genome-wide functional exploration of cis-regulatory elements. As a proof of concept, we use ChIP-seq technology in adult fin tissue of the cichlid fish Oreochromis niloticus to map active promoter elements, as indicated by occupancy of trimethylated Histone H3 Lysine 4 (H3K4me3). The fact that cichlids are one of the most phenotypically diverse and species-rich families of vertebrates could make them a perfect model system for the further in-depth analysis of the evolution of transcriptional regulation. examination of H3K4me3 in adult fin tissue of the Nile tilapia (Oreochromis niloticus)