U.S. flag

An official website of the United States government

Format
Items per page
Sort by

Send to:

Choose Destination

Links from GEO DataSets

Items: 20

1.

Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

(Submitter supplied) To further our understanding of the role of DNA methylation in development, Methylated DNA Immunoprecipitation (MeDIP) was used in conjunction with a NimbleGen promoter plus CpG island array to identify Tissue and Developmental Stage specific Differentially Methylated DNA Regions (T-DMRs and DS-DMRs) on a genome-wide basis. Four tissues (brain, heart, liver, and testis) from C57BL/6J mice were analyzed at three developmental stages (15 day embryo, E15; new born, NB; 12 week adult, AD). more...
Organism:
Mus musculus
Type:
Methylation profiling by genome tiling array
Platform:
GPL7060
26 Samples
Download data: TXT
Series
Accession:
GSE21415
ID:
200021415
2.

Transcriptome analysis and Genome-wide DNA methylation maps in chronic lymphocytic leukemia cells determined by next-generation sequencing

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing
Platforms:
GPL10999 GPL11154
111 Samples
Download data: BED
Series
Accession:
GSE66167
ID:
200066167
3.

Genome-wide DNA methylation maps in chronic lymphocytic leukemia cells determined by next-generation sequencing (RRBS)

(Submitter supplied) Chronic lymphocytic leukemia (CLL) is a biologically and clinically heterogeneous disease. The somatic hypermutation status of the immunoglobulin heavy chain variable (IGHV) genes has been identified as one of the most robust prognostic markers in CLL. Patients with unmutated IGHV status (U-CLL) typically experience an inferior outcome compared to those whose clones express mutated IGHV genes (M-CLL). more...
Organism:
Homo sapiens
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL11154
42 Samples
Download data: BED
Series
Accession:
GSE66121
ID:
200066121
4.

Transcriptome analysis in chronic lymphocytic leukemia cells using RNA sequencing (RNA-seq)

(Submitter supplied) Chronic lymphocytic leukemia (CLL) is a biologically and clinically heterogeneous disease. The somatic hypermutation status of the immunoglobulin heavy chain variable (IGHV) genes has been identified as one of the most robust prognostic markers in CLL. Patients with unmutated IGHV status (U-CLL) typically experience an inferior outcome compared to those whose clones express mutated IGHV genes (M-CLL). more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
52 Samples
Download data: TXT
5.

MeDIP-chip result of 10 lung cancer patients

(Submitter supplied) Compared with non-cancerous lung tissues, lung cancer in Xuanwei tissues expressed a total of 6,899 differentially methylated regions, including 5,788 hypermethylated regions and 1,111 hypomethylated regions. Many differentially methylated regions have been found in lung cancer in Xuanwei.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL16378
2 Samples
Download data: GFF, PAIR, XLS
Series
Accession:
GSE113432
ID:
200113432
6.

Epigenetic profiling at mouse imprinted gene clusters

(Submitter supplied) Epigenetic profiling of DNA methylation, histone H3 lysine 4 trimethylation and histone H3 lysine 9 trimethylation at imprinted gene clusters in the mouse.
Organism:
Mus musculus
Type:
Methylation profiling by genome tiling array; Genome binding/occupancy profiling by genome tiling array
Platform:
GPL8714
18 Samples
Download data: TXT
Series
Accession:
GSE16588
ID:
200016588
7.

Identification of kidney transplant patients at risk for cutaneous squamous cell carcinoma by differentially methylated regions in T cells

(Submitter supplied) We aim to discover differentially methylated regions (DMRs) in peripheral T cells involved in de novo cSCC development after kidney transplantation. This was a retrospective study on biobank patient material. We matched kidney transplant patients with (future) cSCC to those without cSCC and studied genome-wide DNA methylation (450k arrays) of T cells before transplantation.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
65 Samples
Download data: IDAT
Series
Accession:
GSE103911
ID:
200103911
8.

DNA Methylation Identifies Epigenetic Variation across Embryo and Endosperm in Maize (Zea may)

(Submitter supplied) Epigenetic modification plays important roles in plant and animal development. DNA methylation can impact the transposable element (TE) silencing, gene imprinting and regulate gene expression.Through a genome-wide analysis, DNA methylation peaks were respectively characterized and mapped in maize embryo and endosperm genome. Distinct methylation level across maize embryo and endosperm was observed. The maize embryo genome contained more DNA methylation peaks than endosperm. However, the endosperm chloroplast genome contained more DNA methylation peaks to compare with the embryo chloroplast genome. DNA methylation regions were characterized and mapped in genome. More CG island (CGI) shore are methylated than CGI in maize suggested that DNA methylation level is not positively correlated with CpG density. The DNA methylation occurred more frequently in the promoter sequence and transcriptional termination region (TTR) than other regions of the genes. The result showed that 99% TEs we characterized are methylated in maize embryo, but some (34.8%) of them are not methylated in endosperm. Maize embryo and endosperm exhibit distinct pattern/level of methylation. The most differentially methylated two regions between embryo and endosperm are High CpG content promoters (HCPs) and high CpG content TTRs (HCTTRs). DNA methylation peaks distinction of mitochondria and chloroplast DNA were less than the nucleus DNA. Our results indicated that DNA methylation is associated with the gene silencing or gene activation in maize endosperm and embryo. Many genes involved in embryogenesis and seed development were found differentially methylated in embryo and endosperm. We found 17 endosperm-specific expressed imprinting genes were hypomethylated in endosperm and were hypermethylated in embryo. The expression of a maize DEMETER -like (DME-like) gene and MBD101 gene (MBD4 homolog) which direct bulk genome DNA demethylation were higher in endosperm than in embryo. These two genes may be associated with the distinct methylation level across maize embryo and endosperm.The methylomes of maize embryo and endosperm was obtained by MeDIP-seq method. The global mapping of maize embryo and endosperm methylation in this study broadened our knowledge of DNA methylation patterns in maize genome, and provided useful information for future studies on maize seed development and regulation of metabolic pathways in different seed tissues.
Organism:
Zea mays
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL15463
2 Samples
Download data: BED
Series
Accession:
GSE58549
ID:
200058549
9.

The DNA methylation profile of liver tumors in C3H mice and identification of differentially methylated regions involved in the regulation of tumorigenic genes

(Submitter supplied) Background: C3H mice have been frequently used in cancer studies as animal models of spontaneous liver tumors and chemically induced hepatocellular carcinoma (HCC). Epigenetic modifications, including DNA methylation, are among pivotal control mechanisms of gene expression leading to carcinogenesis. Although information on somatic mutations in liver tumors of C3H mice is available, epigenetic aspects are yet to be clarified. more...
Organism:
Mus musculus
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL17021
6 Samples
Download data: XLSX
Series
Accession:
GSE111420
ID:
200111420
10.

Gene expression profiling in liver normal and tumor tissues in C3H mice

(Submitter supplied) We have employed microarray analysis to detect tumor-related genes of liver tissues in C3H mice
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL13912
6 Samples
Download data: TXT
Series
Accession:
GSE104627
ID:
200104627
11.

Gene expression profiling in Hepa1c1c7 transfected Mst1r or Slpi

(Submitter supplied) To analysis Mst1r and slpi function as a tumor associated gene, we carried out overexpression analysis of Mst1r or Slpi to Hepa1c1c7 and investigated downstream genes expression by microarray.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL21163
3 Samples
Download data: TXT
Series
Accession:
GSE104626
ID:
200104626
12.

Genome-wide DNA methylation analyses in the brain reveal four differentially methylated regions between humans and non-human primates

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens; Macaca mulatta
Type:
Methylation profiling by genome tiling array
Platforms:
GPL9448 GPL13216
6 Samples
Download data: PAIR
Series
Accession:
GSE27461
ID:
200027461
13.

Rhesus macaque cerebral cortex DNA methylation profiling by MeDIP-Chip

(Submitter supplied) The highly improved cognitive function is the most significant change in human evolutionary history. Recently, several large-scale studies reported the evolutionary roles of DNA methylation; however, the role of DNA methylation on brain evolution is largely unknown. To test if DNA methylation has contributed to the evolution of human brain, with the use of MeDIP-Chip and SEQUENOM MassARRAY, we conducted a genome-wide analysis to identify differentially methylated regions (DMRs) in the brain between humans and rhesus macaques. more...
Organism:
Macaca mulatta
Type:
Methylation profiling by genome tiling array
Platform:
GPL13216
3 Samples
Download data: PAIR
Series
Accession:
GSE27460
ID:
200027460
14.

Human cerebral cortex DNA methylation by MeDIP-Chip

(Submitter supplied) The highly improved cognitive function is the most significant change in human evolutionary history. Recently, several large-scale studies reported the evolutionary roles of DNA methylation; however, the role of DNA methylation on brain evolution is largely unknown. To test if DNA methylation has contributed to the evolution of human brain, with the use of MeDIP-Chip and SEQUENOM MassARRAY, we conducted a genome-wide analysis to identify differentially methylated regions (DMRs) in the brain between humans and rhesus macaques. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL9448
3 Samples
Download data: PAIR
Series
Accession:
GSE27459
ID:
200027459
15.

Stable DNMT3L Overexpression in SH-SY5Y Neurons Recreates a Facet of the Genome-Wide Down Syndrome DNA Methylation Signature

(Submitter supplied) Background: Down syndrome (DS) is characterized by a genome-wide profile of differential DNA methylation that is skewed towards hypermethylation in most tissues, including brain, and includes pan-tissue differential methylation. The molecular mechanisms involve the overexpression of genes related to DNA methylation on chromosome 21. Here, we stably overexpressed the chromosome 21 gene DNA methyltransferase 3L (DNMT3L) in the human SH-SY5Y neuroblastoma cell line and assayed DNA methylation at over 26 million CpGs by whole genome bisulfite sequencing (WGBS) at three different developmental phases (undifferentiated, differentiating, and differentiated). more...
Organism:
Homo sapiens
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL24676
18 Samples
Download data: TXT
Series
Accession:
GSE168276
ID:
200168276
16.

Epigenetic Basis of Regeneration: Analysis of Genomic DNA Methylation Profiles in the MRL/MpJ mouse

(Submitter supplied) Epigenetic regulation plays essential role in cell differentiation and dedifferentiation, which are the intrinsic processes involved in regeneration. In order to investigate the epigenetic basis of regeneration capacity, we choose DNA methylation as one of the most important epigenetic mechanisms and the MRL/MpJ mouse as a model of mammalian regeneration reported to exhibit enhanced regeneration response in different organs. more...
Organism:
Mus musculus
Type:
Methylation profiling by genome tiling array
Platform:
GPL15761
6 Samples
Download data: PAIR
Series
Accession:
GSE49221
ID:
200049221
17.

Epigenome-Wide Scans Identify Differentially Methylated Regions for Age and Age-Related Phenotypes in a Healthy Ageing Population

(Submitter supplied) The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in whole blood samples from 172 normal female twins. See Bell, Tsai et al. Plos Genet. 2012;8(4):e1002629.
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL8490
172 Samples
Download data: TXT
Series
Accession:
GSE58045
ID:
200058045
18.

DNA methylation data from a separate set of human iPS cells and fibroblasts, and ES cells

(Submitter supplied) We used custom Nimblegen microarrays to determine the DNA methylation profiles of iPS cells, ES cells, and fibroblasts.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL9275
8 Samples
Download data: PAIR
Series
Accession:
GSE24820
ID:
200024820
19.

DNA methylation data from human iPS cells and fibroblasts

(Submitter supplied) DNA methylation is often inversely correlated with gene expression. We used custom Nimblegen microarrays to determine the relationship between DNA methylation and gene expression in 6 iPS cell lines and the fibroblasts from which they were derived.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL9275
12 Samples
Download data: PAIR
Series
Accession:
GSE18227
ID:
200018227
20.

Expression data from human iPS cells and fibroblasts

(Submitter supplied) DNA methylation is often inversely correlated with gene expression. We used expression microarrays to determine the relationship between DNA methylation and gene expression in 6 iPS cell lines and the fibroblasts from which they were derived.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
12 Samples
Download data: CEL
Series
Accession:
GSE18226
ID:
200018226
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

db=gds|term=|query=1|qty=5|blobid=MCID_675a85cfc3f9fb5793258cf9|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
   Taxonomic Groups  [List]
Tree placeholder
    Top Organisms  [Tree]

Find related data

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Support Center