Reciprocal genetic screens identify epigenetics factors controlling epidermal cell activation.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 262 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
- 262 samples: 79 conditions, mostly in duplicateGroups 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.
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 GSE276632_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 PRJNA1158246 and SRA study SRP531288. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 233 samples.
How we read this: 79 replicated groups read from 262 sample titles; they account for 233 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.
- GSM8503121 ChIPseq_Cbx3_sh12_1_Ac_Rep1 ChIPseq_Cbx3_sh12_1_Ac
- GSM8503122 ChIPseq_Cbx3_sh12_1_Ac_Rep2 ChIPseq_Cbx3_sh12_1_Ac
- GSM8503123 ChIPseq_Cbx3_sh12_1_input_Rep1 ChIPseq_Cbx3_sh12_1_inp…
- GSM8503124 ChIPseq_Cbx3_sh12_1_input_Rep2 ChIPseq_Cbx3_sh12_1_inp…
- GSM8503125 ChIPseq_Cbx3_sh33_1_Ac_Rep1 ChIPseq_Cbx3_sh33_1_Ac
- GSM8503126 ChIPseq_Cbx3_sh33_1_Ac_Rep2 ChIPseq_Cbx3_sh33_1_Ac
- GSM8503127 ChIPseq_Cbx3_sh33_1_input_Rep1 ChIPseq_Cbx3_sh33_1_inp…
- GSM8503128 ChIPseq_Cbx3_sh33_1_input_Rep2 ChIPseq_Cbx3_sh33_1_inp…
- GSM8503129 ChIPseq_Cbx3_shscramble_1_Ac_Rep1 ChIPseq_Cbx3_shscramble…
- GSM8503130 ChIPseq_Cbx3_shscramble_1_Ac_Rep2 ChIPseq_Cbx3_shscramble…
- GSM8503131 ChIPseq_Cbx3_shscramble_1_input_Rep1 ChIPseq_Cbx3_shscramble…
- GSM8503132 ChIPseq_Cbx3_shscramble_1_input_Rep2 ChIPseq_Cbx3_shscramble…
- GSM8503133 ChIPseq_Ehmt2_sh1_Rep1_ac
- GSM8503134 ChIPseq_Ehmt2_sh1_Rep1_input
- GSM8503135 ChIPseq_Ehmt2_sh1_Rep2_ac
- GSM8503136 ChIPseq_Ehmt2_sh1_Rep2_input
- GSM8503137 ChIPseq_Ehmt2_sh2_Rep1_ac
- GSM8503138 ChIPseq_Ehmt2_sh2_Rep1_input
- GSM8503139 ChIPseq_Ehmt2_sh2_Rep2_ac
- GSM8503140 ChIPseq_Ehmt2_sh2_Rep2_input
- GSM8503141 ChIPseq_Scramble_Rep1_ac
- GSM8503142 ChIPseq_Scramble_Rep1_input
- GSM8503143 ChIPseq_Scramble_Rep2_ac
- GSM8503144 ChIPseq_Scramble_Rep2_input
- GSM8503145 ChIPseq_Suv420h2_sh24_Rep1_ac
- GSM8503146 ChIPseq_Suv420h2_sh24_Rep1_input
- GSM8503147 ChIPseq_Suv420h2_sh24_Rep2_ac
- GSM8503148 ChIPseq_Suv420h2_sh24_Rep2_input
- GSM8503149 ChIPseq_Suv420h2_sh34_Rep1_ac
- GSM8503150 ChIPseq_Suv420h2_sh34_Rep1_input
- GSM8503151 ChIPseq_Suv420h2_sh34_Rep2_ac
- GSM8503152 ChIPseq_Suv420h2_sh34_Rep2_input
- GSM8503153 Cbx3_1 Cbx3
- GSM8503154 Cbx3_2 Cbx3
- GSM8503155 input_1 input
- GSM8503156 input_2 input
- GSM8503157 Cbx3_scramble_UT_1_run1 Cbx3_scramble_UT_1
- GSM8503158 Cbx3_scramble_UT_1_run2 Cbx3_scramble_UT_1
- GSM8503159 Cbx3_scramble_UT_2_run1 Cbx3_scramble_UT_2
- GSM8503160 Cbx3_scramble_UT_2_run2 Cbx3_scramble_UT_2
+ 222 more — browse all 262 samples with per-sample file links →
- GSE276628 Reciprocal genetic screens identify epigenetics factors controlling epidermal cell activation. [RNAseq_MiniBulk] 41 samples shares epigenetics, controlling, reciprocal, activation, epidermal, genetic, screens, factors
- GSE243943 Spatio-temporal X-linked gene reactivation in the mouse germline reveals site-specific retention of epigenetic silencing 127 samples shares activation, genetic
- GSE243942 Spatio-temporal X-linked gene reactivation in the mouse germline reveals site-specific retention of epigenetic silencing [RNA-seq] 125 samples shares activation, genetic
- GSE292063 Pre-existing epigenetic state and differential NF-kB activation shape type 2 immune cell responses 61 samples shares activation, genetic
- GSE313359 Hippocampal estrogen levels, receptor types and epigenetics contribute to sex-specific memory-vulnerabilities to concurrent acute stresses [Cut & Run] 45 samples shares epigenetics, genetic
- GSE298002 Stage-specific Epigenetic Priming Amplifies Gene Activation During Lineage Commitment [CUT&Run] 38 samples shares activation, genetic
- GSE298001 Stage-specific Epigenetic Priming Amplifies Gene Activation During Lineage Commitment [ATAC-Seq] 36 samples shares activation, genetic
- GSE99296 α-ketoglutarate orchestrates macrophage activation through metabolic and epigenetic reprogramming 18 samples shares activation, genetic
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.