MeCP2 Interacts with the Super Elongation Complex to Regulate Transcription (ChIP-Seq)
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 56 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 56 samples: 56 samples, each with a distinct title — no replicated groupsGroups 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 GSE275329_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 peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1150263 and SRA study SRP527633. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 56 sample titles: 56 distinct titles with little repetition. 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.
- GSM8474924 1_Cortex_AFF4_WT_Rep1
- GSM8474925 2_Cortex_AFF4_WT_Rep2
- GSM8474926 3_Cortex_AFF4_WT_Rep3
- GSM8474927 4_Cortex_AFF4_Null_Rep1
- GSM8474928 5_Cortex_AFF4_Null_Rep2
- GSM8474929 6_Cortex_AFF4_Null_Rep3
- GSM8474930 7_Cortex_RNAPolII_WT_Rep1
- GSM8474931 8_Cortex_RNAPolII_WT_Rep2
- GSM8474932 9_Cortex_RNAPolII_WT_Rep3
- GSM8474933 10_Cortex_RNAPolII_Null_Rep1
- GSM8474934 11_Cortex_RNAPolII_Null_Rep2
- GSM8474935 12_Cortex_RNAPolII_Null_Rep3
- GSM8474936 13_Cortex_AFF4_Cre_Saline_Rep1
- GSM8474937 14_Cortex_AFF4_Cre_Saline_Rep2
- GSM8474938 15_Cortex_AFF4_Cre_KA_Rep1
- GSM8474939 16_Cortex_AFF4_Cre_KA_Rep2
- GSM8474940 17_Cortex_AFF4_Flox_Saline_Rep1
- GSM8474941 18_Cortex_AFF4_Flox_Saline_Rep2
- GSM8474942 19_Cortex_AFF4_Flox_KA_Rep1
- GSM8474943 20_Cortex_AFF4_Flox_KA_Rep2
- GSM8474944 21_Cortex_RNAPolII_Cre_Saline_Rep1
- GSM8474945 22_Cortex_RNAPolII_Cre_Saline_Rep2
- GSM8474946 23_Cortex_RNAPolII_Cre_KA_Rep1
- GSM8474947 24_Cortex_RNAPolII_Cre_KA_Rep2
- GSM8474948 25_Cortex_RNAPolII_Flox_Saline_Rep1
- GSM8474949 26_Cortex_RNAPolII_Flox_Saline_Rep2
- GSM8474950 27_Cortex_RNAPolII_Flox_KA_Rep1
- GSM8474951 28_Cortex_RNAPolII_Flox_KA_Rep2
- GSM8474952 29_Cortex_AFF4_WT_Rep1_input
- GSM8474953 30_Cortex_AFF4_WT_Rep2_input
- GSM8474954 31_Cortex_AFF4_WT_Rep3_input
- GSM8474955 32_Cortex_AFF4_Null_Rep1_input
- GSM8474956 33_Cortex_AFF4_Null_Rep2_input
- GSM8474957 34_Cortex_AFF4_Null_Rep3_input
- GSM8474958 35_Cortex_RNAPolII_WT_Rep1_input
- GSM8474959 36_Cortex_RNAPolII_WT_Rep2_input
- GSM8474960 37_Cortex_RNAPolII_WT_Rep3_input
- GSM8474961 38_Cortex_RNAPolII_Null_Rep1_input
- GSM8474962 39_Cortex_RNAPolII_Null_Rep2_input
- GSM8474963 40_Cortex_RNAPolII_Null_Rep3_input
+ 16 more — browse all 56 samples with per-sample file links →
- GSE324864 HP1B and H3K9me3 Regulate Olfactory Receptor Choice and 2 Transcriptional Identity [ChIP-seq] 28 samples shares transcription, regulate, chip-seq
- GSE326173 Nuclear receptor Nur77 resolves the inflammatory response of macrophages primarily by regulating expression of AP-1 transcription factors and their target genes [ChIP-seq] 42 samples shares transcription, chip-seq
- GSE339012 Mega-Enhancers Compartmentalize Transcriptionally Active Long Genes in the Brain [ChIP-Seq] 22 samples shares transcription, chip-seq
- GSE281685 Transcription factor occupancy is affected by genetic variation in the white adipose tissue of C57BL6/j and 129S1/SvImJ mice [ChIP-seq] 16 samples shares transcription, chip-seq
- GSE305064 FOXP3 Expression Depends on Cell-Type Specific Cis-Regulatory Element and Transcription Factor Circuitry [mouse_Tconv_ChIP-seq] 15 samples shares transcription, chip-seq
- GSE237534 INO80 / SWR remodelers regulate Pol II transcription through BRD2 and chromatin landscape 217 samples shares transcription, regulate
- GSE286046 Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal Cells 96 samples shares transcription, regulate
- GSE220665 The Transcriptional Cofactor SKI Regulates Medullary Thymic Epithelial Cell Differentiation and Peripheral T Cell Responses 42 samples shares transcription, regulate
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.