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Items: 1 to 20 of 70390

1.

Epigenetic age oscillates during the day

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platforms:
GPL13534 GPL21145
96 Samples
Download data: IDAT
Series
Accession:
GSE247198
ID:
200247198
2.

Epigenetic age oscillates during the day (Neu 54 yr old)

(Submitter supplied) Since their introduction, epigenetic clocks have been extensively used in aging and human disease research. In this study, we reveal an intriguing pattern: epigenetic age predictions display a 24-hour periodicity. These paradoxical age oscillations can be attributed to variations in blood cell type composition and epigenomes, both of which demonstrate circadian rhythmicity. This discovery emphasizes the significance of factoring-in the time of day to obtain accurate estimates of epigenetic age.
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL21145
24 Samples
Download data: IDAT, TXT
Series
Accession:
GSE247195
ID:
200247195
3.

Epigenetic age oscillates during the day (Neu 30 yr old)

(Submitter supplied) Since their introduction, epigenetic clocks have been extensively used in aging and human disease research. In this study, we reveal an intriguing pattern: epigenetic age predictions display a 24-hour periodicity. These paradoxical age oscillations can be attributed to variations in blood cell type composition and epigenomes, both of which demonstrate circadian rhythmicity. This discovery emphasizes the significance of factoring-in the time of day to obtain accurate estimates of epigenetic age.
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL21145
24 Samples
Download data: IDAT, TXT
Series
Accession:
GSE247193
ID:
200247193
4.

Exercise intervention during pregnancy induces promoter methylation alterations in maternal blood and cord blood

(Submitter supplied) Maternal blood, as well as umbilical cord blood samples, were collected and DNA methylation levels were determined by Illumina MethylationEPIC microarray. Methods: Twenty-four subjects were chosen from a previous clinical study. Overweight/obese pregnant women (body mass index ≥24kg/m2) who had an uncomplicated pregnancy at <12+6 weeks of gestation were randomly allocated to either an exercise or a control group. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL21145
96 Samples
Download data: IDAT
Series
Accession:
GSE172208
ID:
200172208
5.

Multiomic Analyses Reveal New Targets of Polycomb Repressor Complex 2 in Schwann Lineage Cells and Malignant Peripheral Nerve Sheath Tumors - Methylation

(Submitter supplied) Background Malignant peripheral nerve sheath tumors (MPNST) can arise from atypical neurofibromas (ANF). Loss of the polycomb repressor complex 2 (PRC2) is a common event. Previous studies on PRC2-regulated genes in MPNST used genetic addback experiments in highly aneuploid MPNST cell lines which may miss PRC2-regulated genes in NF1-mutant ANF-like precursor cells. A set of PRC2-regulated genes in human Schwann cells has not been defined. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
16 Samples
Download data: IDAT, TXT
Series
Accession:
GSE263127
ID:
200263127
6.

Clinicopathological and molecular landscape of 5-year IDH-wild-type glioblastoma survivors: a multicentric retrospective study

(Submitter supplied) Background: Less than 5% of glioblastoma multiforme (GBM) patients survive more than 5-years (long-term survivors, LTS). Nevertheless, the molecular fingerprint of LTS remains uncharted. We aimed to characterize LTS by clinicopathological assessment, DNA methylation (DNAm)/Copy Number Variation (CNV) and mutation profiling. Methods: This multicentric project proposed by Alliance Against Cancer was coordinated by Fondazione IRCCS Istituto Neurologico Carlo Besta. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL21145
51 Samples
Download data: IDAT
Series
Accession:
GSE230770
ID:
200230770
7.

Hit-and-run silencing of endogenous DUX4 by targeting DNA hypomethylation on D4Z4 repeats in facioscapulohumeral muscular dystrophy

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array; Expression profiling by high throughput sequencing
Platforms:
GPL18573 GPL21145
11 Samples
Download data: IDAT
Series
Accession:
GSE201185
ID:
200201185
8.

Hit-and-run silencing of endogenous DUX4 by targeting DNA hypomethylation on D4Z4 repeats in facioscapulohumeral muscular dystrophy [EPIC Methylation]

(Submitter supplied) Facioscapulohumeral muscular dystrophy (FSHD), a progressive skeletal muscle disorder, is epigenetically characterized with DNA hypomethylation of D4Z4 repeats in 4q35 region, allowing aberrant DUX4 expression. Sustainable DUX4 suppression is a promising therapeutic clue to prevent disease progression, but most of the supposed methods depend on expression of their mediator biochemical entity, potentially narrowing QoL of individuals with FSHD in the clinical context. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
7 Samples
Download data: IDAT
Series
Accession:
GSE199690
ID:
200199690
9.

Race-specific coregulatory and transcriptomic profiles associated with DNA methylation and androgen receptor in prostate cancer [EPIC]

(Submitter supplied) Prostate cancer incidence and related mortality are disproportionately higher in African American (AA) men than European American (EA) men, but the molecular mechanisms contributing to racial disparities are not fully elucidated. To identify molecular factors that can contribute to disease biology in prostate cancer from AA and EA men, we utilized a multi-omics approach to measure and integrate DNA methylation with gene expression changes. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
53 Samples
Download data: IDAT, TSV
Series
Accession:
GSE262524
ID:
200262524
10.

DNA methylation alterations across time and space in paediatric brain tumours

(Submitter supplied) DNA methylation is increasingly used for tumour classification and has expanded upon the > 100 currently known brain tumour entities. A correct diagnosis is the basis for suitable treatment for patients with brain tumours, which is the leading cause of cancer-related death in children. DNA methylation profiling is required for diagnosis of certain tumours, and used clinically for paediatric brain tumours in several countries. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
4 Samples
Download data: IDAT
Series
Accession:
GSE247880
ID:
200247880
11.

Epigenome analysis of control and mTORC2-suppressed glioblastoma cells

(Submitter supplied) Genome wide DNA methylation profiling of control and mTORC2-suppressed glioblastoma cells (U87-EGFRvIII cells). The Illumina Infinium HumanMethylation EPIC BeadChip Array was used to obtain DNA methylation profiles with 865,918 probes in glioblastoma cell line samples. Samples included 2 control U87-MG cells without mTORC2 suppresion, and mTORC2-knockdown U87-MG cells with lentivirus-mediated suppression of mTORC2.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
4 Samples
Download data: IDAT
Series
Accession:
GSE235207
ID:
200235207
12.

Epigenome-wide profiling of buccal DNAm in samples obtained from children of pregnant smokers enrolled in the VCSIP RCT: NCT03203603

(Submitter supplied) DNA methylation analysis was performed for buccal samples from children exposed in utero to maternal smoking during pregnancy (with or without vitamin C supplementation) and in a smaller number of non-smoker controls
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL21145
359 Samples
Download data: IDAT, TXT
Series
Accession:
GSE252169
ID:
200252169
13.

Co-expression analysis reveals gene cluster associated with methylation of enhancers and chromosomal instability under TP63 and TRIM29 regulation.

(Submitter supplied) Prostate adenocarcinoma (PRAD) is the second most common cause of cancer-related deaths in men. In PRAD, high variability in DNA methylation and a high rate of large genomic rearrangements is often observed. To elucidate the reasons behind such high variance, we integrated DNA methylation, RNA-seq, and copy number alterations datasets from The Cancer Genome Atlas (TCGA) focusing on PRAD and subsequently employed weighted gene co-expression network analysis (WGCNA). more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array; Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL16791 GPL21145
21 Samples
Download data: BW, IDAT, NARROWPEAK
Series
Accession:
GSE204813
ID:
200204813
14.

Co-expression analysis reveals gene cluster associated with methylation of enhancers and chromosomal instability under TP63 and TRIM29 regulation [methylation]

(Submitter supplied) Prostate adenocarcinoma (PRAD) is the second most common cause of cancer-related deaths in men. In PRAD, high variability in DNA methylation and a high rate of large genomic rearrangements is often observed. To elucidate the reasons behind such high variance, we integrated DNA methylation, RNA-seq, and copy number alterations datasets from The Cancer Genome Atlas (TCGA) focusing on PRAD and subsequently employed weighted gene co-expression network analysis (WGCNA). more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
4 Samples
Download data: IDAT
Series
Accession:
GSE204810
ID:
200204810
15.

A personalized medicine approach identifies enasidenib as an efficient treatment for IDH2 mutant chondrosarcoma [MethArray_5days]

(Submitter supplied) The heterogenous genomic nature of most sarcoma subtypes makes them especially indicated for personalized treatment approaches. Here, we developed a personalized medicine strategy based in the use of patient-derived cell lines as a drug-testing platform. Targeted sequencing of a panel of cancer-related genes in these models revealed the presence of IDH1 and IDH2 mutations in two chondrosarcomas. Mutant IDH (mIDH) enzymes produce the oncometabolite 2-HG which contributes to driving tumor growth. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
5 Samples
Download data: IDAT, TXT
Series
Accession:
GSE261421
ID:
200261421
16.

Proteogenomic Characterization Reveals Estrogen Signaling as a Target for Never-Smoker Lung Adenocarcinoma Patients without EGFR or ALK Alterations [MethylationEPIC]

(Submitter supplied) Never-smoker lung adenocarcinoma (NSLA) is prevalent in Asian populations, and is even more in women. EGFR mutations and ALK fusions are major alterations observed in NSLA. We have focused on NSLA without EGFR and ALK alteration (NENA) rather than NSLA with EGFR and ALK (EA). First, we selected 141 NSLA tissues, and performed proteogenomic analyses including the whole-genome sequencing (WGS), transcriptome, methylation EPIC array, total proteome and phosphoproteome. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
141 Samples
Download data: IDAT, TXT
Series
Accession:
GSE256092
ID:
200256092
17.

A personalized medicine approach identifies enasidenib as an efficient treatment for IDH2 mutant chondrosarcoma

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Methylation profiling by genome tiling array
Platforms:
GPL24676 GPL21145
29 Samples
Download data: IDAT
Series
Accession:
GSE235701
ID:
200235701
18.

A personalized medicine approach identifies enasidenib as an efficient treatment for IDH2 mutant chondrosarcoma [MethArray_2days]

(Submitter supplied) The heterogenous genomic nature of most sarcoma subtypes makes them especially indicated for personalized treatment approaches. Here, we developed a personalized medicine strategy based in the use of patient-derived cell lines as a drug-testing platform. Targeted sequencing of a panel of cancer-related genes in these models revealed the presence of IDH1 and IDH2 mutations in two chondrosarcomas. Mutant IDH (mIDH) enzymes produce the oncometabolite 2-HG which contributes to driving tumor growth. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
6 Samples
Download data: IDAT, TXT
Series
Accession:
GSE235697
ID:
200235697
19.

Characterisation and reproducibility of the HumanMethylationEPIC v2.0 BeadChip for DNAmethylation profiling

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Methylation profiling by array; Methylation profiling by high throughput sequencing
Platforms:
GPL21145 GPL33022 GPL20795
64 Samples
Download data: IDAT
Series
Accession:
GSE240482
ID:
200240482
20.

Characterisation and reproducibility of the HumanMethylationEPIC v2.0 BeadChip for DNAmethylation profiling [EPIC v1]

(Submitter supplied) Genome wide DNA methylation profiling of a suite of biological samples for technical evaluation of the HumanMethylationEPIC v2.0 BeadChip. Samples include prostate (LNCaP, PrEC) and breast cancer (MCF7, TAMR) cell lines, as well as primary tumour samples from prostate (SYN*) and breast (HCI*|Gar*).
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL21145
18 Samples
Download data: CSV, IDAT
Series
Accession:
GSE240412
ID:
200240412
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