MeCP2 Interacts with the Super Elongation Complex to Regulate Transcription (RNA-Seq)
RNA-seq (gene expression) · mouse · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 6 × Cortex_WT vs 6 × Cortex_NullGroups 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.
- Paper
- MeCP2 interacts with the super elongation complex to regulate transcriptionScience advances · 2025
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 GSE275332_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1150264 and SRA study SRP527637. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 2 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8475021 Cortex_WT_Rep1 Cortex_WT
- GSM8475022 Cortex_WT_Rep2 Cortex_WT
- GSM8475023 Cortex_WT_Rep3 Cortex_WT
- GSM8475024 Cortex_WT_Rep4 Cortex_WT
- GSM8475025 Cortex_WT_Rep5 Cortex_WT
- GSM8475026 Cortex_WT_Rep6 Cortex_WT
- GSM8475027 Cortex_Null_Rep1 Cortex_Null
- GSM8475028 Cortex_Null_Rep2 Cortex_Null
- GSM8475029 Cortex_Null_Rep3 Cortex_Null
- GSM8475030 Cortex_Null_Rep4 Cortex_Null
- GSM8475031 Cortex_Null_Rep5 Cortex_Null
- GSM8475032 Cortex_Null_Rep6 Cortex_Null
- GSE245648 The Heme-regulated transcriptional repressor, BACH1 safeguards macrophage enhancer selection, activation andtissue adaptation [RNA-seq_BMDM] 24 samples shares transcription, regulate, rna-seq
- GSE237084 Non-CG DNA methylation and MeCP2 stabilize repeated tuning of long genes that distinguish closely related neuron types [RNA-seq] 38 samples shares mecp2, rna-seq
- GSE286046 Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal Cells 96 samples shares transcription, regulate
- GSE282096 Diminished transcriptional activity and splicing changes drive gene length-biased rewiring in the aging transcriptome (RNA-Seq) 94 samples shares transcription, rna-seq
- GSE273878 Cancer-induced FOXP1 disrupts and reprograms skeletal muscle circadian transcription in cachexia [circadian RNA-seq] 48 samples shares transcription, rna-seq
- GSE248585 A conserved epithelial wound-like transcriptional program driven by FOSL1 underlies malignant progression of pancreatic ductal adenocarcinoma (ssRNA-Seq) 46 samples shares transcription, rna-seq
- GSE220665 The Transcriptional Cofactor SKI Regulates Medullary Thymic Epithelial Cell Differentiation and Peripheral T Cell Responses 42 samples shares transcription, regulate
- GSE245838 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse scRNA-seq] 21 samples shares transcription, rna-seq
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.