Saccharomyces cerevisiae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA387489 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Mapping causal genetic variants with parallel genome editing
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Project description:RiboMeth-seq: High-throughput mapping of ribose methylations in RNA at single-nucleotide resolution
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Project description:To date, genome-wide association studies (GWAS) have revealed over 200 genetic risk loci associated with prostate cancer; yet, true disease-causing variants in gene regulatory regions remain elusive. Identification of causal variants and their targets from association signals relevant to prostate cancer is complicated by high linkage disequilibrium and limited availability of functional genomics data for specific tissue/cell types. Here, we integrated statistical fine-mapping and functional annotation from prostate-specific epigenomic profiles, high resolution 3D genome features, and quantitative trait loci data to distinguish causal variants from associations and identify target genes they regulate. Our fine-mapping analysis yielded 1,892 likely causal variants, and multiscale functional annotation linked them to 406 target genes. We prioritized rs10486567, located in an enhancer, as a genome-wide top-ranked SNP and predicted HOTTIP as its target. Deletion of the rs10486567-associated enhancer in prostate cancer cells decreased their capacity for invasive migration. HOTTIP overexpression in an enhancer-KO cell line rescued defective invasive migration. Furthermore, we found that rs10486567 regulates HOTTIP through allele-specific long- range chromatin interaction.
2023-02-25 | GSE197819 | GEO
Project description:To date, genome-wide association studies (GWAS) have revealed over 200 genetic risk loci associated with prostate cancer; yet, true disease-causing variants in gene regulatory regions remain elusive. Identification of causal variants and their targets from association signals relevant to prostate cancer is complicated by high linkage disequilibrium and limited availability of functional genomics data for specific tissue/cell types. Here, we integrated statistical fine-mapping and functional annotation from prostate-specific epigenomic profiles, high resolution 3D genome features, and quantitative trait loci data to distinguish causal variants from associations and identify target genes they regulate. Our fine-mapping analysis yielded 1,892 likely causal variants, and multiscale functional annotation linked them to 406 target genes. We prioritized rs10486567, located in an enhancer, as a genome-wide top-ranked SNP and predicted HOTTIP as its target. Deletion of the rs10486567-associated enhancer in prostate cancer cells decreased their capacity for invasive migration. HOTTIP overexpression in an enhancer-KO cell line rescued defective invasive migration. Furthermore, we found that rs10486567 regulates HOTTIP through allele-specific long- range chromatin interaction.
2023-02-25 | GSE197818 | GEO
Project description:To date, genome-wide association studies (GWAS) have revealed over 200 genetic risk loci associated with prostate cancer; yet, true disease-causing variants in gene regulatory regions remain elusive. Identification of causal variants and their targets from association signals relevant to prostate cancer is complicated by high linkage disequilibrium and limited availability of functional genomics data for specific tissue/cell types. Here, we integrated statistical fine-mapping and functional annotation from prostate-specific epigenomic profiles, high resolution 3D genome features, and quantitative trait loci data to distinguish causal variants from associations and identify target genes they regulate. Our fine-mapping analysis yielded 1,892 likely causal variants, and multiscale functional annotation linked them to 406 target genes. We prioritized rs10486567, located in an enhancer, as a genome-wide top-ranked SNP and predicted HOTTIP as its target. Deletion of the rs10486567-associated enhancer in prostate cancer cells decreased their capacity for invasive migration. HOTTIP overexpression in an enhancer-KO cell line rescued defective invasive migration. Furthermore, we found that rs10486567 regulates HOTTIP through allele-specific long- range chromatin interaction.
2023-02-25 | GSE197817 | GEO
Project description:To date, genome-wide association studies (GWAS) have revealed over 200 genetic risk loci associated with prostate cancer; yet, true disease-causing variants in gene regulatory regions remain elusive. Identification of causal variants and their targets from association signals relevant to prostate cancer is complicated by high linkage disequilibrium and limited availability of functional genomics data for specific tissue/cell types. Here, we integrated statistical fine-mapping and functional annotation from prostate-specific epigenomic profiles, high resolution 3D genome features, and quantitative trait loci data to distinguish causal variants from associations and identify target genes they regulate. Our fine-mapping analysis yielded 1,892 likely causal variants, and multiscale functional annotation linked them to 406 target genes. We prioritized rs10486567, located in an enhancer, as a genome-wide top-ranked SNP and predicted HOTTIP as its target. Deletion of the rs10486567-associated enhancer in prostate cancer cells decreased their capacity for invasive migration. HOTTIP overexpression in an enhancer-KO cell line rescued defective invasive migration. Furthermore, we found that rs10486567 regulates HOTTIP through allele-specific long- range chromatin interaction.
2023-02-25 | GSE197816 | GEO
Project description:Using 1 melanocyte and 6 melanoma cell line (3 pair of primary and metastatic), we generated base-resolution DNA methylation maps to document DNA methylation drivers of melanoma metastasis. Here we generated single-nucleotide resoultion DNA methylation map of a total of 7 cell lines using Reduced Representation Bisulfite Sequencing (RRBS)
2017-05-17 | E-GEOD-70621 | biostudies-arrayexpress
Project description:This is a pathogenic mutation profile of colorectal patients specifically in 5 genes, i.e. APC, TP53, PIK3CA, KRAS, and MLH1. Single nucleotide variants identified were synchronized with patients’ characteristics.
| 2384421 | ecrin-mdr-crc
Project description:Determining causal variants for autoimmune disease is an enormous challenge - 90% of autoimmune disease-associated variants are non-coding and there are often 10s-100s are in tight linkage disequilibrium with the causal variant(s), making identification of the true causal variants difficult. Using massively parallel reporter assays in a T cell line, we prioritized variants that enriched highly for likely causal variants according to statistical fine-mapping. We followed up on one of the prioritized variants, rs72928038 in the BACH2 locus, which had a high effect size, finding that it regulates Bach2 expression in a human T cell line. We created mice containing a small deletion over this non-coding variant, and have tested mutant vs. WT antigen-specific T cells for their responses during acute viral infection. In the context of rs72928038-deleted mice (termed Bach218del), we found an increase in effector T cell differentiation, which highlights a potential role for rs72928038 in modulating effector T cell differentiation in the context of autoimmune disease.
2022-03-02 | GSE194424 | GEO
Project description:Determining causal variants for autoimmune disease is an enormous challenge - 90% of autoimmune disease-associated variants are non-coding and there are often 10s-100s are in tight linkage disequilibrium with the causal variant(s), making identification of the true causal variants difficult. Using massively parallel reporter assays in a T cell line, we prioritized variants that enriched highly for likely causal variants according to statistical fine-mapping. We followed up on one of the prioritized variants, rs72928038 in the BACH2 locus, which had a high effect size, finding that it regulates Bach2 expression in a human T cell line. We created mice containing a small deletion over this non-coding variant, and have tested mutant vs. WT antigen-specific T cells for their responses during acute viral infection. In the context of rs72928038-deleted mice (termed Bach218del), we found an increase in effector T cell differentiation, which highlights a potential role for rs72928038 in modulating effector T cell differentiation in the context of autoimmune disease.
2022-03-02 | GSE197537 | GEO