HeLa Cell Genome Sequencing Studies
Ontology highlight
ABSTRACT: This study contains all authorized whole genome sequence data of the HeLa cell line from datasets currently in dbGaP. These data have been approved for health, medical, and/or biomedical research purposes. Access to these data can be granted for one year. Accessible data will include the studies listed on this page and any additional authorized datasets that become available during this one-year period. The HeLa Genome Data Access Working Group of the Advisory Committee to the Director (ACD) will review requests from the research community for access to these datasets and assess whether the requests align with the terms of use defined in the HeLa Genome Data Use Agreement. The Working Group's findings will be reported to the ACD, and the ACD will make recommendations to the NIH Director about whether a request should be approved or disapproved. The NIH Director will decide whether access to the data will be granted.
SECONDARY ACCESSION(S): PRJNA214221PRJNA214222
REPOSITORIES: dbGaP
Similar Datasets
Project description:<p>This study contains all authorized whole genome sequence data of the HeLa cell line from datasets currently in dbGaP. These data have been approved for health, medical, and/or biomedical research purposes. Access to these data can be granted for one year. Accessible data will include the studies listed on this page and any additional authorized datasets that become available during this one-year period.</p> <p><a href="http://acd.od.nih.gov/hlgda.htm">The HeLa Genome Data Access Working Group of the Advisory Committee to the Director (ACD)</a> will review requests from the research community for access to these datasets and assess whether the requests align with the terms of use defined in the HeLa Genome Data Use Agreement. The Working Group's findings will be reported to the ACD, and the ACD will make recommendations to the NIH Director about whether a request should be approved or disapproved. The NIH Director will decide whether access to the data will be granted.</p>
| phs000640.v1.p1 | EGA
Project description:<p>This study contains all authorized aggregate genomic data from datasets currently in dbGaP that are approved for general research use (GRU) and have no further limitations beyond those outlined in model Data Use Certification Agreement. Access to this study will be granted for one year and any additional authorized aggregate GRU datasets that become available during this one-year period. This study does not include individual-level data.</p>
| phs000501.v1.p1 | EGA
Project description:<p>This study contains all authorized aggregate genomic data from datasets currently in dbGaP that are approved for general research use (GRU) and have no further limitations beyond those outlined in model Data Use Certification Agreement. Access to this study will be granted for one year and any additional authorized aggregate GRU datasets that become available during this one-year period. This study does not include individual-level data.</p>
| phs000501 | dbGaP
Project description:Previous studies in bulk tissue suggest that there are abundant expression quantitative trait loci (eQTLs) in human brain. This sample series is of cerebellar Purkinje cells isolated using laser capture microdissection from human cases without neurological disease but of known genotypes. These data may be helpful in confirming eQTLs in bulk tissue or in mapping other gene expression traits in an enriched neuronal population. Authorized Access data: Mapping of GEO sample accessions to dbGaP subject/sample IDs is available through dbGaP Authorized Access, see http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000249
2013-01-01 | GSE37205 | GEO
Project description:A fundamental challenge in the post-genome era is to understand and annotate the consequences of genetic variation, particularly within the context of human tissues. We describe a set of integrated experiments designed to investigate the effects of common genetic variability on mRNA expression distinct human brain regions. We show that brain tissues may be readily distinguished based on expression profile. We find an abundance of genetic cis regulation mRNA expression. We observe that the largest magnitude effects occur across distinct brain regions. We believe these data, which we have made publicly available, will be useful in understanding the biological effects of genetic variation. Authorized Access data: Mapping of GEO sample accessions to dbGaP subject/sample IDs is available through dbGaP Authorized Access, see http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000249
2012-05-09 | GSE36192 | GEO
Project description:The epigenome is the dynamic interface between our changing environment and the static genome, and understanding it is a goal of immense importance to human health. We will map reference cell epigenomes of the brain, breast, blood and approved embryonic stem cells, inclusive of males and females and different racial groups. This cooperative work will transform our understanding of the short and long-lasting consequences of environment impact on human health and disease. We are working cooperatively with other Mapping Centers and the Data Coordination Center (EDACC) to comprehensively map epigenomes of select human cells with significant relevance to complex human disease. Our group, consisting of scientists at UCSF, UC Davis, UCSC and the British Columbia Genome Sciences Centre will focus on cells relevant to human health and complex disease including cells from the blood, brain, breast and U.S. Government-approved lines of human embryonic stem cells. We will incorporate high quality, homogeneous cells from males and females, and two predominant racial groups, and biological replicates of each cell type. Production of comprehensive maps will include 6 histone modifications selected for their opposing roles in regulating active and inactive chromatin, DNA methylation and miRNA and gene expression. This epigenetic data, along with genetic and expression data will be integrated using advanced informatics to address fundamental roles of epigenetics in differentiation, maintenance of cell-type identity and gene expression. Our cell and data production pipeline will incorporate verification and data validation with independent methods, and will operate under a model motivated by increased data production and decrease cost. We summarize the analysis capacity of our instruments and our explicit strategy for data sharing of our proposed REMC-generated resources including biological specimens, protocols, data, software tools and intellectual resources. We envision that our group in conjunction with the other REMC teams, the EDACC, ENCODE, future EHHD (Epigenetics of Human Health and Disease) centers and the NIH Roadmap program will develop methods, tools and reference epigenome maps for the research community that will make the promise of epigenetics in understand and treating human complex disease a reality. Our reference epigenomes will enable new disciplines including human population epigenetics, comparative epigenomics, neuroepigenetics, and therapeutic epigenetics for tissue regeneration and reversal of disease. Contributor: BCCA Genome Sciences Centre **************** For data usage terms and conditions, please refer to: http://www.drugabuse.gov/funding/funding-opportunities/nih-common-fund/epigenomics-data-access-policies ****************
2009-08-03 | GSE16368 | GEO
Project description:Previous studies in bulk tissue suggest that there are abundant expression quantitative trait loci (eQTLs) in human brain. This sample series is of cerebellar Purkinje cells isolated using laser capture microdissection from human cases without neurological disease but of known genotypes. These data may be helpful in confirming eQTLs in bulk tissue or in mapping other gene expression traits in an enriched neuronal population. Authorized Access data: Mapping of GEO sample accessions to dbGaP subject/sample IDs is available through dbGaP Authorized Access, see http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000249 The aim of this study was to examine gene expression in isolated purkinje cells from the human cerebellum. We obtained frozen brain tissue from the cerebellum. We stained sections with cresyl violet and separated Purkinje cells based on morphology and location within the cerebellum using laser capture microdissection. Expression analyses were then performed.
2013-01-01 | E-GEOD-37205 | biostudies-arrayexpress
Project description:A fundamental challenge in the post-genome era is to understand and annotate the consequences of genetic variation, particularly within the context of human tissues. We describe a set of integrated experiments designed to investigate the effects of common genetic variability on DNA methylation and mRNA expression distinct human brain regions. We show that brain tissues may be readily distinguished based on methylation status or expression profile. We find an abundance of genetic cis regulation mRNA expression and show for the first time abundant quantitative trait loci for DNA CpG methylation. We observe that the largest magnitude effects occur across distinct brain regions. We believe these data, which we have made publicly available, will be useful in understanding the biological effects of genetic variation. Authorized Access data: Mapping of GEO sample accessions to dbGaP subject/sample IDs is available through dbGaP Authorized Access, see http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000249
2012-05-09 | GSE36194 | GEO
Project description:A fundamental challenge in the post-genome era is to understand and annotate the consequences of genetic variation, particularly within the context of human tissues. We describe a set of integrated experiments designed to investigate the effects of common genetic variability on DNA methylation, mRNA expression and microRNA (miRNA) expression in four distinct human brain regions. We show that brain tissues may be readily distinguished based on methylation status or expression profile. We find an abundance of genetic cis regulation mRNA expression and show for the first time abundant quantitative trait loci for DNA CpG methylation. We observe that the largest magnitude effects occur across distinct brain regions. We believe these data, which we have made publicly available, will be useful in understanding the biological effects of genetic variation. Authorized Access data: Mapping of GEO sample accessions to dbGaP subject/sample IDs is available through dbGaP Authorized Access, see http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000249.v1.p1
2010-04-20 | GSE15745 | GEO
Project description:A fundamental challenge in the post-genome era is to understand and annotate the consequences of genetic variation, particularly within the context of human tissues. We describe a set of integrated experiments designed to investigate the effects of common genetic variability on DNA methylation, mRNA expression and microRNA (miRNA) expression in four distinct human brain regions. We show that brain tissues may be readily distinguished based on methylation status or expression profile. We find an abundance of genetic cis regulation mRNA expression and show for the first time abundant quantitative trait loci for DNA CpG methylation. We observe that the largest magnitude effects occur across distinct brain regions. We believe these data, which we have made publicly available, will be useful in understanding the biological effects of genetic variation. Authorized Access data: Mapping of GEO sample accessions to dbGaP subject/sample IDs is available through dbGaP Authorized Access, see http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000249.v1.p1 Because of our interest in genomic regulation of expression and neurological disorders we embarked upon a series of experiments to provide a brain region-specific contextual framework for genetic and epigenetic regulation of gene expression. We obtained frozen brain tissue from the cerebellum, frontal cortex, pons and temporal cortex from 150 subjects (total 600 tissue samples). We undertook four separate assays across this series; first, genome-wide SNP genotyping; second, assay of >27,000 CpG methylation sites in each of the four brain regions; third, mRNA expression profiling of >22,000 transcripts in all four brain regions; and, fourth, miRNA expression profiling of 735 miRNA transcripts. Here we discuss the results of these experiments, particularly in the context of integrated datasets to define expression and CpG methylation quantitative trait loci (eQTL and methQTL) and detailing differences and similarities across brain regions.
2010-04-20 | E-GEOD-15745 | biostudies-arrayexpress