GEO DataSets

(Submitter supplied) LINE1s are abundant retroelements comprising 17% of human genome. Naturally, genomic LINE1s are tightly repressed by epigenetic mechanism; however, if relieved, they can be detrimental to genome stability by their transposition capability. So, a supervising mechanism that quickly re-represses the leaky LINE1s is demanded. Here we show that de-repressed LINE1s generate small RNAs, L1-siRNAs, which SETDB1 and AGO2 recognize, then move into searching for a transcript with sequence complementarity, and ultimately re-install a repression mechanism at LINE1 5’-untranslated region (5’UTR) by depositing trimethyl-H3K9 (H3K9me3). more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL21697

2 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; Methylation profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platform:

GPL21697

25 Samples

Download data: BW, TXT

(Submitter supplied) LINE1s are abundant retroelements comprising 17% of human genome. Naturally, genomic LINE1s are tightly repressed by epigenetic mechanism; however, if relieved, they can be detrimental to genome stability by their transposition capability. So, a supervising mechanism that quickly re-represses the leaky LINE1s is demanded. Here we show that de-repressed LINE1s generate small RNAs, L1-siRNAs, which SETDB1 and AGO2 recognize, then move into searching for a transcript with sequence complementarity, and ultimately re-install a repression mechanism at LINE1 5’-untranslated region (5’UTR) by depositing trimethyl-H3K9 (H3K9me3). more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21697

12 Samples

Download data: TXT

(Submitter supplied) LINE1s are abundant retroelements comprising 17% of human genome. Naturally, genomic LINE1s are tightly repressed by epigenetic mechanism; however, if relieved, they can be detrimental to genome stability by their transposition capability. So, a supervising mechanism that quickly re-represses the leaky LINE1s is demanded. Here we show that de-repressed LINE1s generate small RNAs, L1-siRNAs, which SETDB1 and AGO2 recognize, then move into searching for a transcript with sequence complementarity, and ultimately re-install a repression mechanism at LINE1 5’-untranslated region (5’UTR) by depositing trimethyl-H3K9 (H3K9me3). more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL21697

2 Samples

Download data: BW

(Submitter supplied) LINE1s are abundant retroelements comprising 17% of human genome. Naturally, genomic LINE1s are tightly repressed by epigenetic mechanism; however, if relieved, they can be detrimental to genome stability by their transposition capability. So, a supervising mechanism that quickly re-represses the leaky LINE1s is demanded. Here we show that de-repressed LINE1s generate small RNAs, L1-siRNAs, which SETDB1 and AGO2 recognize, then move into searching for a transcript with sequence complementarity, and ultimately re-install a repression mechanism at LINE1 5’-untranslated region (5’UTR) by depositing trimethyl-H3K9 (H3K9me3). more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL21697

9 Samples

Download data: BW, TXT

(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

(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

(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

(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

(Submitter supplied) Osteosarcomas (OS) arise more commonly during the rapid bone growth and remodeling, thus it is plausible to infer the relationship between their tumorigenesis and cell cycle disruption by genetic and epigenetic factors. Methylation data of 28 primary OS was obtained using the HM450K microarray, and compared with nine normal bone tissues. The tumor mutational burden was analyzed using data from the TruSight One sequencing panel. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

37 Samples

Download data: IDAT

(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:

GPL28975 GPL24676

23 Samples

Download data: TSV

(Submitter supplied) Aberrant DNA-methylation at CpG dinucleotides is a hallmark of cancer and is associated with the emergence of resistance to anti-cancer treatment, though molecular mechanisms and biological signifi- cance remain elusive. Genome-scale methylation maps by currently used methods are based on chemical modification of DNA and are best suited for analyses of methylation at CpG-rich regions (CpG islands). more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL28975

6 Samples

Download data: TSV

(Submitter supplied) Aberrant DNA-methylation at CpG dinucleotides is a hallmark of cancer and is associated with the emergence of resistance to anti-cancer treatment, though molecular mechanisms and biological signifi- cance remain elusive. Genome-scale methylation maps by currently used methods are based on chemical modification of DNA and are best suited for analyses of methylation at CpG-rich regions (CpG islands). more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

17 Samples

Download data: XLSX

(Submitter supplied) Here we used Illumina NGS for high-throughput profiling of the DNA methylome in two human colon cancer derived cell lines, two human normal bone marrow CD34+ controls and in five human Acutre Myeloid Leukeima patient samples. These data can be used to determine the CpG cytosine methylation pattern at base pair resolution in each sample and to determine differentially methylated cytosines and regions between samples

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platforms:

GPL10999 GPL11154

19 Samples

Download data: TXT

(Submitter supplied) Many cancer survivors suffer from impairments in skeletal muscle (SkM), both in terms of reduced mass and function. Interestingly, human SkM possesses an epigenetic memory of earlier stimuli, such as exercise. Long-term retention of epigenetic changes in SkM following cancer survival and/or exercise training have not yet been studied. We therefore investigated genome-wide DNA methylation (the methylome) in SkM following a 5-month, 3/week treadmill-based aerobic training intervention in breast cancer survivors 10-14 years after diagnosis and treatment. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL21145

32 Samples

Download data: IDAT, TXT

(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

(Submitter supplied) To better characterize smoking–associated methylation changes in whole blood, we used Illumina HumanMethylation450 BeadChip to assess DNA samples from current (SM, n=172) and never smokers (NS, n=81).

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

253 Samples

Download data: IDAT, TXT

(Submitter supplied) Genome wide DNA methylation profiling of normal and adjacent OSCC samples. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 4,50,000 CpGs in tissue samples. Total 21 samples were taken including 10 paired and 1 unpaired tissues. 6 were HPV Positive and 5 were HPV negative.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

21 Samples

Download data: IDAT

(Submitter supplied) Our analysis reveals an extensive methylomic drift between normal squamous esophagus and BE tissues in nonprogressed BE patients, with differential drift affecting 4024 (24%) of 16,984 normally hypomethylated cytosine-guanine dinucleotides (CpGs) occurring in CpG islands. The majority (63%) of islands that include drift CpGs are associated with gene promoter regions. Island CpGs that drift have stronger pairwise correlations than static islands, reflecting collective drift consistent with processive DNA methylation maintenance. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

160 Samples

Download data: CSV

(Submitter supplied) In this study, we have optimized and directly compared epigenetic age predictors based on pyrosequencing, ddPCR and BBA-seq of specific age-associated regions. Bisulfite barcoded amplicon sequencing (BBA-seq) was performed on 9 genomic region of 77 human blood DNA and 11 genomic regions of 95 buccal swab DNA to measure age-associated regions for epigenetic age prediction. Furthermore, our data indicate that the correlation of age-associated DNAm with chronological age peaks close to CTCF binding sites. more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL15520

172 Samples

Download data: TXT