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Links from GEO DataSets

Items: 20

1.

H3K4me1 marks DNA regions hypomethylated during aging in human stem and differentiated cells [MSCs]

(Submitter supplied) In differentiated cells, aging is associated with hypermethylation of DNA regions enriched in repressive histone posttranslational modifications. However, the chromatin marks associated with changes in DNA methylation in adult stem cells during lifetime are still largely unknown. Here, DNA methylation profiling of mesenchymal stem cells obtained from individuals aged 2 to 92 identified 18735 hypermethylated and 45407 hypomethylated CpG sites associated with aging. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL13534
34 Samples
Download data: TXT
Series
Accession:
GSE52112
ID:
200052112
2.

H3K4me1 marks DNA regions hypomethylated during aging in human stem and differentiated cells

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL13534
58 Samples
Download data
Series
Accession:
GSE52114
ID:
200052114
3.

H3K4me1 marks DNA regions hypomethylated during aging in human stem and differentiated cells [twins]

(Submitter supplied) In differentiated cells, aging is associated with hypermethylation of DNA regions enriched in repressive histone posttranslational modifications. However, the chromatin marks associated with changes in DNA methylation in adult stem cells during lifetime are still largely unknown. Here, DNA methylation profiling of mesenchymal stem cells obtained from individuals aged 2 to 92 identified 18735 hypermethylated and 45407 hypomethylated CpG sites associated with aging. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL13534
24 Samples
Download data: TXT
Series
Accession:
GSE52113
ID:
200052113
4.

DNA methylation in progenitor cells

(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:
GPL7408 GPL7363
23 Samples
Download data: PAIR
Series
Accession:
GSE19795
ID:
200019795
5.

DNA methylation in progenitor cells: MeDIP study

(Submitter supplied) We surveyed DNA methylation profiles of all human RefSeq promoters in relation to gene expression and differentiation in adipose tissue, bone marrow and muscle mesenchymal progenitors, as well as in bone marrow-derived hematopoietic progenitors. We unravel strongly overlapping DNA methylation profiles between adipose stem cells (ASCs), bone marrow mesenchymal stem cells (BMMSCs) and muscle progenitor cells (MPCs), while hematopoietic progenitor cells (HPCs) are more epigenetically distant from MSCs seen as a whole. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL7408
12 Samples
Download data: PAIR
Series
Accession:
GSE19794
ID:
200019794
6.

DNA methylation in progenitor cells: expression study

(Submitter supplied) We surveyed DNA methylation profiles of all human RefSeq promoters in relation to gene expression and differentiation in adipose tissue, bone marrow and muscle mesenchymal progenitors, as well as in bone marrow-derived hematopoietic progenitors. We unravel strongly overlapping DNA methylation profiles between adipose stem cells (ASCs), bone marrow mesenchymal stem cells (BMMSCs) and muscle progenitor cells (MPCs), while hematopoietic progenitor cells (HPCs) are more epigenetically distant from MSCs seen as a whole. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL7363
11 Samples
Download data: TXT
Series
Accession:
GSE19773
ID:
200019773
7.

Epigenetic environment of histone H3.3 on promoters revealed by integration of imaging, ChIP-chip, and MeDIP-chip data

(Submitter supplied) Epigenetic environment of histone H3.3 on promoters revealed by integration of imaging and genome-scale chromatin and methyl-DNA immunoprecipitation information. Chromatin regions with different transcriptional outputs are distinguished by the deposition of histone variants. Histone H3.3 is incorporated into chromatin in a replication-independent manner; yet the relationship between H3.3 deposition, chromatin environment is incompletely understood. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by genome tiling array; Methylation profiling by genome tiling array; Expression profiling by array
Platforms:
GPL7408 GPL7363
18 Samples
Download data: PAIR, TXT
Series
Accession:
GSE17053
ID:
200017053
8.

Continuous Aging of the Human DNA Methylome Throughout the Human Lifespan

(Submitter supplied) DNA methylation plays an important role in development of disease and the process of aging. In this study we examine DNA methylation at 476,366 sites throughout the genome of white blood cells from a population cohort (N = 421) ranging in age from 14 to 94 years old. Age affects DNA methylation at almost one third (29%) of the sites (Bonferroni adjusted P-value <0.05), of which 60.5% becomes hypomethylated and 39.5% hypermethylated with increasing age. more...
Organism:
Homo sapiens
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL13534
732 Samples
Download data: IDAT, TXT, XLSX
Series
Accession:
GSE87571
ID:
200087571
9.

Characterisation of epigenomic changes during chondrogenesis

(Submitter supplied) Epigenetic mechanisms are known to regulate gene expression during chondrogenesis. In this study, we have characterised the epigenome during in vitro differentiation of human mesenchymal stem cells (hMSCs) into chondrocytes. Chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq) was used to assess a range of N-terminal post-transcriptional modifications (marks) to histone H3 lysines (H3K4me3, H3K4me1, H3K27ac, H3K27me3 and H3K36me3) in both hMSCs and differentiated chondrocytes. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL18573 GPL16791
24 Samples
Download data: BIGWIG
Series
Accession:
GSE129031
ID:
200129031
10.

Ethnicity-specific epigenetic variation in naïve CD4+ T cells and the susceptibility to autoimmunity

(Submitter supplied) Background: Genetic and epigenetic variability contributes to the susceptibility and pathogenesis of autoimmune diseases. T cells play an important role in several autoimmune conditions, including lupus, which is more common and more severe in people of African descent. To investigate inherent epigenetic differences in T cells between ethnicities, we characterized genome-wide DNA methylation patterns in naïve CD4+ T cells in healthy African-Americans and European-Americans, and then confirmed our findings in lupus patients. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by genome tiling array
Platform:
GPL13534
66 Samples
Download data: TXT
Series
Accession:
GSE79237
ID:
200079237
11.

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:
GPL11154 GPL10999
111 Samples
Download data: BED
Series
Accession:
GSE66167
ID:
200066167
12.

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
13.

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
14.

Aging-associated DNA methylation changes in middle-aged individuals: The Young Finns Study

(Submitter supplied) Background Chronological aging-associated changes in the human DNA methylome are studied by multiple epigenome-wide association studies (EWAS); however, the aging-associated DNAmet changes identified among different age groups and tissues vary and especially the rates of aging-associated alterations in the epigenome during adulthood remain unclear. Here, we further explore and characterize CpG-sites where DNA methylation levels alter at a constant rate during adulthood and are also independent of blood cell type heterogeneity. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL13534
184 Samples
Download data: TXT
Series
Accession:
GSE69270
ID:
200069270
15.

Cell Type-Specific Chromatin Signatures Underline Regulatory DNA Elements in Human Induced Pluripotent Stem Cells and Somatic Cells

(Submitter supplied) Regulatory DNA elements in the human genome play important roles in determining the transcriptional abundance and spatiotemporal gene expression. It is a mystery how chromatin marks in regulatory elements are modulated to establish cell type-specific gene expression. Here we profiled a variety of epigenetic marks in the regulatory elements using massive ChIP-seq (n=84). We uncovered two classes of regulatory elements: Class I was identified with ubiquitous enhancer (H3K4me1) and promoter (H3K4me3) marks in all cell types, whereas Class II was enriched with H3K4me1 and H3K4me3 in a cell type-specific manner. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platform:
GPL16791
96 Samples
Download data: TXT
16.

Defining a Chromatin Pattern That Characterizes DNA Hypermethylated Genes in Colon Cancer Cells

(Submitter supplied) Epigenetic gene regulation is a key determinant of heritable gene expression patterns and is critical for normal cellular function. Dysregulation of epigenetic transcriptional control is a fundamental feature of cancer, particularly manifesting as increased promoter DNA methylation with associated aberrant gene silencing which plays a significant role in tumor progression. We now globally map key chromatin parameters for genes with promoter CpG island DNA hypermethylation in colon cancer cells by combining microarray gene expression analyses with ChIP on chip technology. more...
Organism:
Homo sapiens
Type:
Expression profiling by array; Genome binding/occupancy profiling by genome tiling array
Platforms:
GPL4125 GPL4124 GPL4133
11 Samples
Download data: TXT
Series
Accession:
GSE11173
ID:
200011173
17.

RRBS (reduced representation bisulfite sequencing) analysis of hepatocyte-specific STAT5a/STAT5b Knockout (STAT5ab-KO) mouse liver to identify differentially methylated regions (DMRs)

(Submitter supplied) The impact of STAT5 on liver DNA methylation was assessed by performing RRBS analysis on male and female mouse liver with a hepatocyte-specific loss of STAT5a and STAT5b. Extensive changes in CpG-methylation were seen in STAT5-deficient liver, where sex differences were abolished at 88% of ~1,500 sex-differentially methylated regions, largely due to increased DNA methylation upon STAT5 loss. STAT5-dependent CpG-hypomethylation was rarely found at proximal promoters of STAT5-dependent genes. more...
Organism:
Mus musculus
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL17021
23 Samples
Download data: XLSX
Series
Accession:
GSE103886
ID:
200103886
18.

Gene expression profiling of mouse liver with hepatocyte-specific knockout of STAT5a/STAT5b genes (STAT5ab-KO)

(Submitter supplied) rRNA-depleted RNA isolated from livers of control male and female mice and from male mice with hepatocyte-specific STAT5ab-KO was analyzed by RNA-seq. This study revealed a substantial, albeit incomplete loss of liver sex bias in hepatocyte-specific STAT5a/STAT5b (collectively, STAT5)-deficient mouse liver. Notably, in male liver, many male-biased genes were down regulated in direct association with the loss of STAT5 binding; many female-biased genes, which show low STAT5 binding, were de-repressed, indicating an indirect mechanism for repression by STAT5. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
8 Samples
Download data: XLSX
Series
Accession:
GSE103885
ID:
200103885
19.

Methylomic analysis identifies the involvement of migration and adhesion genes in the ageing of primary haematopoietic stem cells

(Submitter supplied) we utilize Nano-MeDIP-seq for the analysis of the LT-HSC methylome and, for the first time, simultaneously interrogate the methylome and transcriptome of a homogeneous population of primary murine HSCs, in order to define the underlying causes of changes in HSC functionality during normal ageing.
Organism:
Mus musculus
Type:
Methylation profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platforms:
GPL13112 GPL9250
18 Samples
Download data: BW, TXT
Series
Accession:
GSE41658
ID:
200041658
20.

Relationship between gene body DNA methylation and intragenic H3K9me3 and H3K36me3 chromatin marks

(Submitter supplied) Analysis of cross talk of epigenetic marks in HBEC by using tilling arrays chr19. In Human Bronchial epithelia cells (HBEC), H3K9me3, H4K20me3, H3K4me3, H3K27me3, H3K36me3 and DNA methylation were profiled. In these cells, DNA methylation status was analyzed by MIRA and UnmethylCollector (UMC). Study of epigenetic changes in HCT116 DNMT1-/- and DNMT3b -/- (HCT116-DKO) in comparison to intact HCT116. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by genome tiling array; Methylation profiling by genome tiling array
Platform:
GPL11313
17 Samples
Download data: GFF, PAIR
Series
Accession:
GSE26040
ID:
200026040
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