GSM1364284[Accession] - GEO DataSets

Warning: The NCBI web site requires JavaScript to function. more...

Format

Summary
Summary (text)
Unique Identifier List

Sort by

Default order
Number of Samples (High to Low)
Number of Samples (Low to High)

Send to:

Choose Destination

File
Clipboard
Collections

Search results

Items: 4

Select item 2000565801.

Transcriptomics and methylomics of human T cells [transcriptome]

(Submitter supplied) The MESA Epigenomics and Transcriptomics Study has been launched to investigate potential gene expression regulatory methylation sites in humans by examining the association between CpG methylation and gene expression in purified human monocytes and T cells from a large study population (community-dwelling participants in the Multi-Ethnic Study of Atherosclerosis (MESA)). The MESA Epigenomics and Transcriptomics Study was funded by a National Heart, Lung and Blood Institute grant (R01HL101250) through the NIH Roadmap Epigenomics Program in 2009.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL10558
214 Samples

Download data: TXT

Series

Accession:: GSE56580

ID:: 200056580

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000560472.

Transcriptomics and methylomics of human monocytes

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Homo sapiens

Type:: Expression profiling by array; Methylation profiling by genome tiling array

Platforms:: GPL10558 GPL13534
2832 Samples

Download data

Series

Accession:: GSE56047

ID:: 200056047

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 1000105583.

Illumina HumanHT-12 V4.0 expression beadchip

(Submitter supplied) The HumanHT-12 v4 Expression BeadChip provides high throughput processing of 12 samples per BeadChip without the need for expensive, specialized automation. The BeadChip is designed to support flexible usage across a wide-spectrum of experiments. The updated content on the HumanHT-12 v4 Expression BeadChips provides more biologically meaningful results through genome-wide transcriptional coverage of well-characterized genes, gene candidates, and splice variants. more...