The transcriptional repressor AEBP2 is indispensable for the epigenetic control of mimetic thymic epithelial cell differentiation and central self-tolerance induction.
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 28 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
- 28 samples: 28 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.
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 GSE298716_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 PRJNA1270999 and SRA study SRP589292. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 3 samples read as cases, 6 as controls.
How we read this: Read from the first 24 of 28 sample titles: 24 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.
- GSM9021388 thymic epithelial cell, Aebp2-flox, replicate 1, scRNAseq
- GSM9021389 thymic epithelial cell, Aebp2-flox, replicate 2, scRNAseq
- GSM9021390 thymic epithelial cell, Aebp2-ko, replicate 1, scRNAseq
- GSM9021391 thymic epithelial cell, Aebp2-ko, replicate 2, scRNAseq
- GSM9021392 thymic epithelial cell, Aebp2-flox, replicate 1, scATACseq
- GSM9021393 thymic epithelial cell, Aebp2-flox, replicate 2, scATACseq
- GSM9021394 thymic epithelial cell, Aebp2-ko, replicate 1, scATACseq
- GSM9021395 thymic epithelial cell, Aebp2-ko, replicate 2, scATACseq
- GSM9021396 medullary thymic epithelial cell, Aebp2-flox, replicate 1, cut-tag_H3K27me3
- GSM9021397 medullary thymic epithelial cell, Aebp2-flox, replicate 2, cut-tag_H3K27me3
- GSM9021398 medullary thymic epithelial cell, Aebp2-ko, replicate 1, cut-tag_H3K27me3
- GSM9021399 medullary thymic epithelial cell, Aebp2-ko, replicate 2, cut-tag_H3K27me3
- GSM9021400 cortical thymic epithelial cell, Aebp2-wild type, replicate1, bulk RNAseq
- GSM9021401 medullart thymic epithelial cell, Aebp2-wild type, replicate1, bulk RNAseq
- GSM9021402 cortical thymic epithelial cell, Aebp2-wild type, replicate2, bulk RNAseq
- GSM9021403 medullart thymic epithelial cell, Aebp2-wild type, replicate2, bulk RNAseq
- GSM9021404 cortical thymic epithelial cell, Aebp2-wild type, replicate3, bulk RNAseq
- GSM9021405 medullart thymic epithelial cell, Aebp2-wild type, replicate3 bulk RNAseq
- GSM9021406 cortical thymic epithelial cell, Aebp2-knockout, replicate1, bulk RNAseq
- GSM9021407 medullart thymic epithelial cell, Aebp2-ko, replicate1, bulk RNAseq
- GSM9021408 cortical thymic epithelial cell, Aebp2-knockout, replicate2, bulk RNAseq
- GSM9021409 medullart thymic epithelial cell, Aebp2-ko, replicate2, bulk RNAseq
- GSM9021410 cortical thymic epithelial cell, Aebp2-knockout, replicate3, bulk RNAseq
- GSM9021411 medullart thymic epithelial cell, Aebp2-ko, replicate3, bulk RNAseq
+ 4 more — browse all 28 samples with per-sample file links →
- GSE276632 Reciprocal genetic screens identify epigenetics factors controlling epidermal cell activation. 262 samples shares epigenetic, control
- GSE276628 Reciprocal genetic screens identify epigenetics factors controlling epidermal cell activation. [RNAseq_MiniBulk] 41 samples shares epigenetic, control
- GSE274865 Epigenetic regulators of clonal hematopoiesis control CD8 T cell stemness during immunotherapy [CUT&Tag] 36 samples shares epigenetic, control
- GSE327604 Epigenetic control of microglial mitochondrial immunity by KAT7 drives Alzheimer’s disease pathogenesis [RNA-Seq] 12 samples shares epigenetic, control
- GSE310209 Opposing functions of AEBP2 isoforms fine-tune PRC2 catalytic activity 72 samples shares aebp2
- GSE236580 Adipose tissue retains an epigenetic memory of obesity after weight loss 135 samples shares epigenetic
- GSE247970 Cell of origin epigenetic priming determines susceptibility to Tet2 oncogenic mutation 76 samples shares epigenetic
- GSE294258 Intracellular iron homeostasis-regulated epigenetic reprogramming contributes to -7/del(7q) leukemia 71 samples shares epigenetic
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.