Single Nucleus Multiomic Profiling Reveals Age-Dynamic Regulation of Host Genes Associated with SARS-CoV-2 Infection
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE161383 | GEO | 2020/11/23
REPOSITORIES: GEO
Similar Datasets
Project description:We performed RRBS and WGBS on primary human chronic lymphocytic leukemia and normal healthy donor B cell samples Due to patient privacy concerns, the raw data is being made available via controlled access in dbGaP (http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000435.v1.p1).
2015-01-01 | GSE58889 | GEO
Project description:We performed RRBS and WGBS on primary human chronic lymphocytic leukemia and normal healthy donor B cell samples Due to patient privacy concerns, the raw data is being made available via controlled access in dbGaP (http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000435.v1.p1). cross-sectional/longitudinal
2015-01-01 | E-GEOD-58889 | 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, 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: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: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:In order to gain a global molecular perspective on how the human genome gives rise to the brain, we explore the temporal dynamics and genetic control of transcription in human dorsolateral prefrontal cortex in an extensive series of brain tissue from fetal development through aging. We discover a wave of gene expression changes occurring during fetal development which are reversed in early postnatal life. One half century later in life, this phenomenon is mirrored in aging as well as neurodegeneration. While we identify thousands of robust associations of individual genetic polymorphisms with gene expression, we also demonstrate that there is no association between the total extent of genetic differences between subjects and the global similarity of their transcriptional profiles. Hence, the human genome produces a consistent molecular architecture in the prefrontal cortex, despite millions of genetic differences across individuals and races. To enable further discovery, this entire dataset is freely available (GEO). RNA from 269 human prefrontal cortex samples ranging from fetal development (negative ages) through aging (80 years) were analyzed on custom 2-color microarrays from the National Human Genome Research Institute (NHGRI) microarray core facility using a reference RNA comprised of a pool of all samples. SNP genotype data for these subjects can be found in dbGAP under Study ID *phs000417.v1.p1* http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000417.v1.p1 Both the gene expression and SNP data from this study can be interrogated gene-by-gene with a biologist-friendly stand-alone application available at http://www.libd.org/braincloud . The original publication of this data appeared in the Oct. 27th 2011 volume of Nature: http://www.nature.com/nature/journal/v478/n7370/full/nature10524.html .
2011-10-26 | E-GEOD-30272 | 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, 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
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 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 and frontal cortex from 396 subjects (total 911 tissue samples).
2012-05-08 | E-GEOD-36192 | biostudies-arrayexpress