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Genome-wide bisulfite sequencing (GWBS) and RNA-seq in hippocampus of Neil1- and Neil2 deficient mice

GSE198005 Mus musculus (mouse) DNA methylation 16 samples Submitted 2024/05/01 Platform GPL23479
At a glance

DNA methylation · mouse · 16 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
16 samples: 2 × G_WT vs 2 × G_Neil1 vs 2 × G_Neil2 vs 2 × G_DKGroups 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.
Summary (written by the submitters)
We report the bisulfite sequencing and RNA-seq in hippocampus of Neil deficient adult mice. By genome-wide bisulphite sequencing (GWBS) analysis, NEIL depletion mice (including Neil1-/-, Neil2-/- and Neil1-/- Neil2-/-) consistently displayed global hypo-methylation of 5mC in base resolution in CG context, as well as in gene feature regions including transcription start sites (TSS) in CHG and CHH context by compared to wild type.
Read the full summary ↓
RNA-seq reveals differentially expressed genes are mainly overlapped with differential methylation. A subset of overlap genes is enriched in synaptic function. Together, NEIL1 and NEIL2 functionally promote DNA methylation and impact gene expression.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE198005_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA813323 and SRA study SRP362787. Searching any of these in the dataset finder brings you back here.

Study design
2 × G_WT vs 2 × G_Neil1 vs 2 × G_Neil2 vs 2 × G_DK

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 8 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.

Samples in this study
Datasets on a similar topic

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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.