← BioTransfer GEO Dataset Finder
GEO series

MeCP2 stabilizes the glucocorticoid system in active chromatin regions [RNA-seq]

GSE295530 Mus musculus (mouse) Single-cell RNA-seq 723 samples Submitted 2026/07/31 Platform GPL28330Platform GPL34290
At a glance

Single-cell RNA-seq · mouse · 723 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
723 samples: 117 conditions, mostly in triplicateGroups 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)
Methyl-CpG-binding protein 2 (MeCP2), a key epigenetic factor regulating gene expression via DNA/chromatin interactions, causes Rett syndrome when dysfunctional. However, its regulatory mechanisms at the pan-tissue and multi-omics levels remain poorly understood. Here, we constructed comprehensive pan-tissue transcriptional profiles and chromatin accessibility profiles from wild-type and Mecp2-knockout mice.
Read the full summary ↓
Integrative analyses revealed that glucocorticoid (GC)-induced genes (GIGs) exhibited global hyperactivation following Mecp2 knockout, highlighting a crucial role for MeCP2 in maintaining GC signaling homeostasis. Through innovative single-cell multi-omics profiling of the nervous system, we found that GIG dysregulation primarily disrupts neural homeostasis via non-neuronal cells. Mechanistically, we uncovered a dual regulatory mode of MeCP2: (1) competitively limiting NR3C1 occupancy at GIG cis-regulatory elements in active chromatin regions, and (2) specifically disrupting NR3C1-NCOA1 coactivator interactions. Importantly, pharmacologically suppressing aberrant GC system activation ameliorated pathological phenotypes and significantly prolonged survival in Mecp2-knockout mice. Our study demonstrates the critical pathological role of hyperactivated GC signaling in the multisystem disturbances of Mecp2-knockout mice and suggests potential therapeutic targets for Rett syndrome.
This dataset
Open GSE295530 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE295530_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1255139 and SRA study SRP581065. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
117 conditions, mostly in triplicate
C57_BoneMarrow_KO_Male ×5 C57_Cerebellum_KO_Male ×5 C57_Heart_KO_Male ×5 C57_Heart_WT_Male ×5 C57_Muscle_KO_Male ×5 FVB_Thymus_OE ×5 FVB_Thymus_WT ×5 FVB_AdrenalGland_OE ×5 +111 more

Supports a between-group comparison across 398 samples.

How we read this: 117 replicated groups read from the first 400 of 723 sample titles; they account for 398 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

+ 683 more — browse all 723 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.