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Links from GEO DataSets

Items: 20

1.

Open chromatin maps of genetically different yeast strains

(Submitter supplied) Open chromatin provides access to a wide spectrum of DNA binding proteins for DNA metabolism processes such as transcription, repair, recombination, and replication. In this regard, open chromatin profiling has been widely used to identify the location of regulatory regions, including promoters, enhancers, insulators, silencers, replication origins, and recombination hotspots. For a quantitative getic analysis of chromatin regulation, we generated open chromatin maps of 100 yeast samples including the parental strains (BY and RM, and two replicates for each) and their descendants by using the FAIRE-seq technique
Organism:
Saccharomyces cerevisiae
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL13821
96 Samples
Download data: BED
Series
Accession:
GSE33466
ID:
200033466
2.

FAIRE-seq in primary human megakaryocytes, erythroblasts and monocytes

(Submitter supplied) Maps of open chromatin in three primary human blood cell types of the myeloid lineage (megakaryocytes, erythroblasts and monocytes) using the formaldehyde-assisted isolation of regulatory elements method followed by next-generation sequencing (FAIRE-seq). We also generated FAIRE-seq data in the megakaryocytic cell line CHRF-288-11. In addition to our data sets, we retrieved FAIRE-seq data for the erythroblastoid cell line K562 (ENCODE Project Consortium 2012) and pancreatic islets (Gaulton et al. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL10999 GPL11154 GPL9115
6 Samples
Download data: BED
Series
Accession:
GSE37916
ID:
200037916
3.

Meiotic time course: open chromatin and expression profile

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Saccharomyces cerevisiae; Saccharomyces cerevisiae SK1
Type:
Expression profiling by array; Genome binding/occupancy profiling by array
Platforms:
GPL4131 GPL4414
39 Samples
Download data: GPR
Series
Accession:
GSE18256
ID:
200018256
4.

Meiotic time-course expression profile

(Submitter supplied) To investigate the dynamics of the meiotic transcriptome and to ensure meiotic synchrony of our samples, we measured RNA abundance in vegetative cells, respiratory (pre-meiotic) cells and in synchronously sporulating cells at various times after transfer to sporulation media (SM).
Organism:
Saccharomyces cerevisiae; Saccharomyces cerevisiae SK1
Type:
Expression profiling by array
Platform:
GPL4414
27 Samples
Download data: GPR
Series
Accession:
GSE18181
ID:
200018181
5.

Meiotic time course of open chromatin as measured by FAIRE

(Submitter supplied) To investigate the relationship between chromatin organization and meiotic processes, we used Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE) to map open chromatin during the transition from mitosis to meiosis in the budding yeast Saccharomyces cerevisiae.
Organism:
Saccharomyces cerevisiae; Saccharomyces cerevisiae SK1
Type:
Genome binding/occupancy profiling by array
Platform:
GPL4131
12 Samples
Download data: GPR
Series
Accession:
GSE16163
ID:
200016163
6.

Genetic Analysis of Variation in Transcription Factor Binding in Yeast

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Saccharomyces cerevisiae
Type:
Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL9134 GPL9825
222 Samples
Download data: TXT
Series
Accession:
GSE19636
ID:
200019636
7.

Genome-wide Ste12-binding site mapping in MATa segregants of YJM789 x S96 cross

(Submitter supplied) In this study, we mapped for the first time differences in transcription binding among individuals and elucidated the genetic basis of such variation. Whole-genome Ste12 binding profiles were determined using ChIP-Seq in pheromone-treated cells of 43 segregants of a cross between two highly diverged yeast strains, YJM789 and S288c as well as the parental lines. We identified extensive Ste12 binding variation among individuals and mapped underlying cis- and trans- acting loci responsible for such variation. more...
Organism:
Saccharomyces cerevisiae
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL9134
174 Samples
Download data: TXT
Series
Accession:
GSE19635
ID:
200019635
8.

Gene Expression of MATa yeast segregants (YJM789 X S96) after alpha factor treatment

(Submitter supplied) In this study, we mapped for the first time differences in transcription binding among individuals and elucidated the genetic basis of such variation. Whole-genome Ste12 binding profiles were determined using ChIP-Seq in pheromone-treated cells of 43 segregants of a cross between two highly diverged yeast strains, YJM789 and S288c, as well as the parental lines. We identified extensive Ste12 binding variation among individuals and mapped underlying cis- and trans- acting loci responsible for such variation. more...
Organism:
Saccharomyces cerevisiae
Type:
Expression profiling by array
Platform:
GPL9825
48 Samples
Download data: TXT
Series
Accession:
GSE19634
ID:
200019634
9.

Evolution and genetic architecture of chromatin accessibility and function in yeast

(Submitter supplied) Chromatin accessibility is an important functional genomics phenotype that influences transcription factor binding and gene expression. Genome-scale technologies allow chromatin accessibility to be mapped with high-resolution, facilitating detailed analyses into the genetic architecture and evolution of chromatin structure within and between species. We performed Formaldehyde-Assisted Isolation of Regulatory Elements sequencing (FAIRE-Seq) to map chromatin accessibility in two parental haploid yeast species, Saccharomyces cerevisiae and Saccharomyces paradoxus and their diploid hybrid. more...
Organism:
Saccharomyces cerevisiae; Saccharomyces cerevisiae x Saccharomyces paradoxus
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platforms:
GPL13821 GPL17601
20 Samples
Download data: BED
Series
Accession:
GSE55717
ID:
200055717
10.

A map of open chromatin in human pancreatic islets

(Submitter supplied) High-throughput sequencing of genomic regions isolated using FAIRE (Formaldehyde-assisted isolation of regulatory elements) from three purified pancreatic islet samples For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing; Genome binding/occupancy profiling by genome tiling array
Platforms:
GPL9115 GPL3514
5 Samples
Download data: BED, PAIR, WIG
11.

Impact of PDR8 allelic variation on yeast transcriptome profile in wine fermentation condition.

(Submitter supplied) An eQTL analysis show that mutations in PDR8 gene in 59A strain versus S288c could trigger expressions variations of QDR2. In order to confirm this result and highlight other gene expression variations associated to PDR8 allelic variation, we performed an allele switch of PDR8 in 59A background (59A PDR8-S288c) and compared the transcriptomic profile of this strain to 59A. The analysis was performed in wine alcoholic fermentation conditions in stationary phase during nitrogen starvation and in alcoholic stress. more...
Organism:
Saccharomyces cerevisiae
Type:
Expression profiling by array
Platform:
GPL16012
6 Samples
Download data: GPR
Series
Accession:
GSE41738
ID:
200041738
12.

eQTL linkages in wine yeasts to decipher regulatory networks in wine fermentation

(Submitter supplied) We performed here the transcriptomic profile of 44 segregants from a cross between S288c and 59A (a spore of EC1118 strain). The analysis was performed in wine fermentation condition in stationary phase during nitrogen starvation and in alcoholic stress. These data, associated with an individual genotyping by Affymetrix array allow us to highlight genetic variations involved in perturbation of regulatory network and fermentative behavior.
Organism:
Saccharomyces cerevisiae
Type:
Expression profiling by array
Platform:
GPL16012
56 Samples
Download data: GPR
Series
Accession:
GSE41025
ID:
200041025
13.

Simvastatin treated Lymphoblastoid Cell lines from Cholesterol and Pharmacogenomics (CAP) Trial

(Submitter supplied) Statins reduce cardiovascular disease risk by lowering plasma low density lipoprotein (LDL)-cholesterol. To identify novel pathways that modulate statin response, we assessed the influence of simvastatin exposure on expression quantitative trait locus (eQTL) associations across the genome in 480 lymphoblastoid cell lines (LCLs). Cell lines were derived blood samples collected ant entry visit from participants in the Cholesterol and Pharmacogenomics (CAP) trial, who underwent a 6 week 40mg/day simvastatin trial. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6883
960 Samples
Download data: TXT
Series
Accession:
GSE36868
ID:
200036868
14.

Genetic identification, replication, and functional fine-mapping of expression quantitative trait loci in primary human liver tissue [Illumina Expression Array]

(Submitter supplied) Most loci identified in genome wide association studies (GWAS) of complex traits reside in non-coding DNA and may contribute to phenotype via changes in gene regulation. The discovery of expression quantitative trait loci (?eQTLs?) can thus be used to more precisely identify modest but real disease associations and provide insights into their underlying molecular mechanisms. This is particularly true for analyses of expression in non-transformed cells from tissues relevant to the complex traits of interest. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6104
60 Samples
Download data: TXT
Series
Accession:
GSE28893
ID:
200028893
15.

Genetic identification, replication, and functional fine-mapping of expression quantitative trait loci in primary human liver tissue

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; SNP genotyping by SNP array; Genome variation profiling by SNP array
Platforms:
GPL4133 GPL8887 GPL6104
748 Samples
Download data: TXT
Series
Accession:
GSE26106
ID:
200026106
16.

Genetic identification, replication, and functional fine-mapping of expression quantitative trait loci in primary human liver tissue [Illumina SNP array]

(Submitter supplied) Most loci identified in genome wide association studies (GWAS) of complex traits reside in non-coding DNA and may contribute to phenotype via changes in gene regulation. The discovery of expression quantitative trait loci (‘eQTLs’) can thus be used to more precisely identify modest but real disease associations and provide insights into their underlying molecular mechanisms. This is particularly true for analyses of expression in non-transformed cells from tissues relevant to the complex traits of interest. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array; SNP genotyping by SNP array
Platform:
GPL8887
224 Samples
Download data: TXT
Series
Accession:
GSE26105
ID:
200026105
17.

Genetic identification, replication, and functional fine-mapping of expression quantitative trait loci in primary human liver tissue [Agilent]

(Submitter supplied) Most loci identified in genome wide association studies (GWAS) of complex traits reside in non-coding DNA and may contribute to phenotype via changes in gene regulation. The discovery of expression quantitative trait loci (‘eQTLs’) can thus be used to more precisely identify modest but real disease associations and provide insights into their underlying molecular mechanisms. This is particularly true for analyses of expression in non-transformed cells from tissues relevant to the complex traits of interest. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4133
464 Samples
Download data: TXT
Series
Accession:
GSE25935
ID:
200025935
18.

Open chromatin defined by DNaseI and FAIRE identifies regulatory elements that shape cell-type identity

(Submitter supplied) For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL9052
89 Samples
Download data: BED, TXT
Series
Accession:
GSE30227
ID:
200030227
19.

Open chromatin defined by DNaseI and FAIRE identifies regulatory elements that shape cell-type identity [ChIP_seq].

(Submitter supplied) The human body contains thousands of unique cell types, each with specialized functions. Cell identity is governed in large part by gene transcription programs, which are determined by regulatory elements encoded in DNA. To identify regulatory elements active in seven cell lines representative of diverse human cell types, we used DNase-seq and FAIRE-seq to map “open chromatin”. Over 870,000 DNaseI or FAIRE sites, which correspond largely to nucleosome depleted regions (NDRs), were identified across the seven cell lines, covering nearly 9% of the genome. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL9052
33 Samples
Download data: BED, NARROWPEAK
Series
Accession:
GSE30226
ID:
200030226
20.

Open chromatin defined by DNaseI and FAIRE identifies regulatory elements that shape cell-type identity [FAIRE_seq]

(Submitter supplied) The human body contains thousands of unique cell types, each with specialized functions. Cell identity is governed in large part by gene transcription programs, which are determined by regulatory elements encoded in DNA. To identify regulatory elements active in seven cell lines representative of diverse human cell types, we used DNase-seq and FAIRE-seq to map “open chromatin”. Over 870,000 DNaseI or FAIRE sites, which correspond largely to nucleosome depleted regions (NDRs), were identified across the seven cell lines, covering nearly 9% of the genome. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL9052
16 Samples
Download data: BED, NARROWPEAK
Series
Accession:
GSE30225
ID:
200030225
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