GEO DataSets

(Submitter supplied) The establishment of highly accurate aging clocks based on DNA methylation highlighted the strong link between epigenetic alterations and aging. However, connecting methylation clocks to physiological changes is not straightforward. Transcriptomics and proteomics clocks on the other hand are directly connected to cellular function, yet they do not allow us to understand underlying epigenetic mechanisms. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL24676

157 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL24676

316 Samples

Download data

(Submitter supplied) The establishment of highly accurate aging clocks based on DNA methylation highlighted the strong link between epigenetic alterations and aging. However, connecting methylation clocks to physiological changes is not straightforward. Transcriptomics and proteomics clocks on the other hand are directly connected to cellular function, yet they do not allow us to understand underlying epigenetic mechanisms. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

159 Samples

Download data: CSV

(Submitter supplied) Genome wide DNA methylation profiling of normal colon samples. The Illumina Infinium HumanMethylation450 and EPIC Beadchip arrays were used to obtain DNA methylation profiles across approximately 450,000 and 850,000 CpGs. Samples were from nomal colons of 334 subjects with low, medium or high CRC risk according to their personal adenoma or cancer history.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platforms:

GPL13534 GPL21145

334 Samples

Download data: IDAT

(Submitter supplied) Background: DNA-methylation changes at a discrete set of sites in the human genome are predictive of chronological and biological age. However, it is not known whether these changes are causative or a consequence of an underlying ageing programme. It has also not been shown whether this ‘epigenetic clock’ is unique to humans or conserved in other animals such as the experimentally tractable mouse. Results: We have generated a comprehensive set of whole genome base-resolution methylation maps from multiple mouse tissues spanning a wide range of ages. more...

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL13112

62 Samples

Download data: TXT

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

Organism:

Homo sapiens; Mus musculus

Type:

Methylation profiling by array; Methylation profiling by high throughput sequencing

8 related Platforms

175 Samples

Download data: IDAT

(Submitter supplied) These data are published in a series with the TIME-Seq sequencing data. TIME-Seq is a method for efficient methylation sequencing, primarily used for epigenetic clock analysis.

Organism:

Mus musculus

Type:

Methylation profiling by array

Platform:

GPL30650

48 Samples

Download data: IDAT, TXT

(Submitter supplied) These data are published in a series with the TIME-Seq sequencing data. TIME-Seq is a method for efficient methylation sequencing, primarily used for epigenetic clock analysis.

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL21145

24 Samples

Download data: IDAT, TXT

(Submitter supplied) We report a high-throughput and low-cost targeted bisulfite sequencing method called TIME-Seq for discovery and assay of DNA methylation clocks. Data is related to the initial publication of TIME-Seq clocks and shallow sequencing-based predictions using scAge. Demultiplexing information as well as more detailed metadata for each sample in the pools will be posted at: https://github.com/patricktgriffin/TIME-Seq

Organism:

Homo sapiens; Mus musculus

Type:

Methylation profiling by high throughput sequencing

6 related Platforms

103 Samples

Download data

(Submitter supplied) An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from many tissues of plains zebras (Equus quagga). Both whole blood (96) and remote biopsy (24) samples were obtained from a captive population of zebras maintained in a semi-wild state. After eliminating samples with low confidence for individual identity and age, we retained 76 blood samples and 20 biopsy samples, totaling 96 zebra samples.

Organism:

Rattus norvegicus; Homo sapiens; Mus musculus; Equus quagga burchellii

Type:

Methylation profiling by array

Platform:

GPL28271

118 Samples

Download data: CSV, DOCX, IDAT

(Submitter supplied) An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from blood samples in two equid species: Somali wild ass and Grevy's zebra. n=12 blood samples

Organism:

Mus musculus; Rattus norvegicus; Homo sapiens; Equus grevyi; Equus asinus somalicus

Type:

Methylation profiling by array

Platform:

GPL28271

12 Samples

Download data: CSV, DOCX, IDAT

(Submitter supplied) An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from many tissues from horses We generated DNA methylation data from n=333 horse tissue samples representing tissues. Blood samples were collected via venipuncture into EDTA tubes from across 24 different horse breeds (buffy coat). The other tissues were collected at necropsy. The tissue atlas was generated from two Thoroughbred mares as part of the FAANG initiative 37, with the following tissues profiled: adipose (gluteal), adrenal cortex, blood (PBMCs; only n=1 mare), cartilage (only n=1 mare), cecum, cerebellum (2 samples each from lateral hemisphere and vermis), frontal cortex, duodenum, fibroblast, heart (2 samples each from the right atrium, left atrium, right ventricle, left ventricle), hypothalamus, ileum, jejunum, keratinocyte, kidney (kidney cortex and medulla), lamina, larynx (i.e. more...

Organism:

Rattus norvegicus; Mus musculus; Homo sapiens; Equus caballus

Type:

Methylation profiling by array

Platform:

GPL28271

333 Samples

Download data: IDAT, TXT

(Submitter supplied) Chronological age prediction from DNA methylation sheds light on human aging, indicates poor health and predicts lifespan. Previous studies developed methylation clocks based on linear regression models on methylation array data. While accurate, these models are limited to fixed-rate changes in methylation levels across age. Moreover, the high cost of methylation arrays, compared to targeted-PCR sequencing, hinders widespread utility of such predictors. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array; Third-party reanalysis

Download data: CSV

(Submitter supplied) Background: DNA methylation is influenced by both environmental and genetic factors and is increasingly thought to affect variation in complex traits and diseases. Yet, the extent of ancestry-related differences in DNA methylation, its genetic determinants, and their respective causal impact on immune gene regulation remain elusive. Results: We report extensive population differences in DNA methylation between 156 individuals of African and Europeandescent —detected in primary monocytes that were used as a model of a major innate immunity cell type. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL23976

156 Samples

Download data: CSV

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

Organism:

Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing

Platforms:

GPL19057 GPL21493 GPL24247

47 Samples

Download data: BW, CGMAP, TAR

(Submitter supplied) Heart failure can be induced or ameliorated by regulation of chromatin modifying enzymes. Because so many chromatin factors regulate gene expression, we used ATAC-seq to report the status of a given locus at any time—the sum total of all epigenetic modifiers—in a mouse model of pressure overload hypertrophy. Early compensation of pressure overload at 3 days was associated with widespread changes in chromatin accessibility and DNA methylation, the majority of which persisted to the decompensated phase (3 weeks), revealing the temporal nature of epigenomic compensation to pathologic stimuli. more...

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing

Platforms:

GPL24247 GPL21493

23 Samples

Download data: CGMAP

(Submitter supplied) Heart failure can be induced or ameliorated by regulation of chromatin modifying enzymes. Because so many chromatin factors regulate gene expression, we used ATAC-seq to report the status of a given locus at any time—the sum total of all epigenetic modifiers—in a mouse model of pressure overload hypertrophy. Early compensation of pressure overload at 3 days was associated with widespread changes in chromatin accessibility and DNA methylation, the majority of which persisted to the decompensated phase (3 weeks), revealing the temporal nature of epigenomic compensation to pathologic stimuli. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24247

12 Samples

Download data: TAR

(Submitter supplied) Heart failure can be induced or ameliorated by regulation of chromatin modifying enzymes. Because so many chromatin factors regulate gene expression, we used ATAC-seq to report the status of a given locus at any time—the sum total of all epigenetic modifiers—in a mouse model of pressure overload hypertrophy. Early compensation of pressure overload at 3 days was associated with widespread changes in chromatin accessibility and DNA methylation, the majority of which persisted to the decompensated phase (3 weeks), revealing the temporal nature of epigenomic compensation to pathologic stimuli. more...

Organism:

Mus musculus

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL19057

12 Samples

Download data: BW

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

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing; Third-party reanalysis

Platforms:

GPL17021 GPL21103

549 Samples

Download data: CSV, TXT

(Submitter supplied) Human DNA-methylation data have been used to develop highly accurate biomarkers of aging ("epigenetic clocks"). Recent studies demonstrate that similar epigenetic clocks for mice (Mus Musculus) can be slowed by gold standard anti-aging interventions such as calorie restriction and growth hormone receptor knock-outs. Using DNA methylation data from previous publications with data collected in house for a total 1189 samples spanning 193,651 CpG sites, we developed 4 novel epigenetic clocks by choosing different regression models (elastic net- versus ridge regression) and by considering different sets of CpGs (all CpGs vs highly conserved CpGs). more...

Organism:

Mus musculus

Type:

Methylation profiling by high throughput sequencing; Third-party reanalysis

Download data: TXT