Tumor hypoxia causes DNA hypermethylation by reducing TET activity (TAB-Seq)
DNA methylation · mouse · 13 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Mus musculus (mouse)
- Samples
- 13 samples: 4 × shallow TABseq on a PyMT-induced breast tumor from a PHD2+/- mouse vs 3 × shallow TABseq on a PyMT-induced breast tumor from a PHD2+/+ mouse vs 3 × shallow TABseq on a PyMT-induced breast tumor from a sFlk1-overexpressing mouse vs 3 × shallow TABseq on a PyMT-induced breast tumor from a empty PRRL2-vector-overexpressing mouseGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE71402_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.
Also filed as BioProject PRJNA291092 and SRA study SRP061652. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 13 samples.
How we read this: 4 replicated groups read from 13 sample titles; they account for 13 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM1833748 shallow TABseq on a PyMT-induced breast tumor from a PHD2+/+ mouse 1 shallow TABseq on a PyM…
- GSM1833749 shallow TABseq on a PyMT-induced breast tumor from a PHD2+/+ mouse 2 shallow TABseq on a PyM…
- GSM1833750 shallow TABseq on a PyMT-induced breast tumor from a PHD2+/+ mouse 3 shallow TABseq on a PyM…
- GSM1833751 shallow TABseq on a PyMT-induced breast tumor from a PHD2+/- mouse 1 shallow TABseq on a PyM…
- GSM1833752 shallow TABseq on a PyMT-induced breast tumor from a PHD2+/- mouse 2 shallow TABseq on a PyM…
- GSM1833753 shallow TABseq on a PyMT-induced breast tumor from a PHD2+/- mouse 3 shallow TABseq on a PyM…
- GSM1833754 shallow TABseq on a PyMT-induced breast tumor from a PHD2+/- mouse 4 shallow TABseq on a PyM…
- GSM1833755 shallow TABseq on a PyMT-induced breast tumor from a sFlk1-overexpressing mouse 1 shallow TABseq on a PyM…
- GSM1833756 shallow TABseq on a PyMT-induced breast tumor from a sFlk1-overexpressing mouse 2 shallow TABseq on a PyM…
- GSM1833757 shallow TABseq on a PyMT-induced breast tumor from a sFlk1-overexpressing mouse 3 shallow TABseq on a PyM…
- GSM1833758 shallow TABseq on a PyMT-induced breast tumor from a empty PRRL2-vector-overexpressing mouse 1 shallow TABseq on a PyM…
- GSM1833759 shallow TABseq on a PyMT-induced breast tumor from a empty PRRL2-vector-overexpressing mouse 2 shallow TABseq on a PyM…
- GSM1833760 shallow TABseq on a PyMT-induced breast tumor from a empty PRRL2-vector-overexpressing mouse 3 shallow TABseq on a PyM…
- GSE224376 Control of naive T cell reactivity and peripheral tolerance by ascorbate and TET activity 80 samples shares tet, activity
- GSE318256 TET1 non-catalytic activity shapes the chromatin-landscape that directs de novo methylation establishment in the male germline 44 samples shares tet, activity
- GSE245251 Synaptic Activity Causes Minute-scale Changes in BAF Complex Composition and Function [RNA-Seq] 24 samples shares activity, causes
- GSE314221 Reducing CETP activity prevents memory decline in an Alzheimer’s disease mouse model. 16 samples shares reducing, activity
- GSE247970 Cell of origin epigenetic priming determines susceptibility to Tet2 oncogenic mutation 76 samples shares tet
- GSE272970 Bulk liver RNA-sequencing of mice co-exposed to simvastatin and 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) 60 samples shares tet
- GSE254121 Time-Course Analysis of Hepatic Single-Nuclei RNA-Sequencing in Mice Treated with 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) 42 samples shares tet
- GSE248933 Transcriptomic and epigenomic profiling of Tet TKO neural stem cells to study NSC specification and multipotency 36 samples shares tet
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.