Histone chaperon ASF1B recruits distinct epigenetic factors in regulation of histone variant H3.3 during the fetal and adult erythropoiesis II
RNA-seq (gene expression) · mouse · 26 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
- 26 samples: 11 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.
- Paper
- ASF1B promotes erythropoiesis by regulating the establishment and enrichment of H3.3 nucleosomesNucleic acids research · 2026
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 GSE285838_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 PRJNA1206179 and SRA study SRP559498. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 22 samples.
How we read this: 11 replicated groups read from 26 sample titles; they account for 22 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.
- GSM8709969 control uninduce-Rep1 control uninduce
- GSM8709970 control uninduce-Rep2 control uninduce
- GSM8709971 ASF1A KO uninduce-Rep1 ASF1A KO uninduce
- GSM8709972 ASF1A KO uninduce-Rep2 ASF1A KO uninduce
- GSM8709973 ASF1B KO uninduce-Rep1 ASF1B KO uninduce
- GSM8709974 ASF1B KO uninduce-Rep2 ASF1B KO uninduce
- GSM8709975 HIRA KO uninduce-Rep1 HIRA KO uninduce
- GSM8709976 HIRA KO uninduce-Rep2 HIRA KO uninduce
- GSM8709977 control induce-Rep1 control induce
- GSM8709978 control induce-Rep2 control induce
- GSM8709979 ASF1A KO induce-Rep1 ASF1A KO induce
- GSM8709980 ASF1A KO induce-Rep2 ASF1A KO induce
- GSM8709981 ASF1B KO induce-Rep1 ASF1B KO induce
- GSM8709982 ASF1B KO induce-Rep2 ASF1B KO induce
- GSM8709983 HIRA KO induce-Rep1 HIRA KO induce
- GSM8709984 HIRA KO induce-Rep2 HIRA KO induce
- GSM8709985 control-Rep1 control
- GSM8709986 control-Rep2 control
- GSM8709987 ASF1A KD-Rep1 ASF1A KD
- GSM8709988 ASF1A KD-Rep2 ASF1A KD
- GSM8709989 ASF1B KD-Rep1 ASF1B KD
- GSM8709990 ASF1B KD-Rep2 ASF1B KD
- GSM9023800 ASF1B KD-Rep1.fastq.gz
- GSM9023801 ASF1B KD-Rep2.fastq.gz
- GSM9023802 Control-Rep1.fastq.gz
- GSM9023803 Control-Rep2.fastq.gz
- GSE232637 Single-cell multi-omic detection of DNA methylation and histone modifications reconstructs the dynamics of epigenetic maintenance 42 samples shares epigenetic, histone
- GSE264571 Latent Epigenetic Programs in Müller Glia Contribute to Stress, Injury, and Disease Response in the Retina 87 samples shares epigenetic
- GSE289109 Neurons undergo IFNγ-driven persistent epigenetic shifts and synaptic remodeling in the inflamed brain [snRNA-Seq] 20 samples shares epigenetic
- GSE271611 Intestinal secretory differentiation reflects niche-driven phenotypic and epigenetic plasticity of a common signal-responsive terminal cell [RNA-Seq] 12 samples shares epigenetic
- GSE261742 Identification of epigenetic regulators of fibrotic transformation in cardiac fibroblasts through bulk and single-cell CRISPR screens 69 samples shares epigenetic
- GSE242464 Epigenetic regulation of p63 blocks squamous-to-neuroendocrine transdifferentiation in esophageal development and malignancy 53 samples shares epigenetic
- GSE248813 MED16 negatively regulates erythropoiesis and myelopoiesis through modulation of chromatin accessibility 52 samples shares erythropoiesis
- GSE291268 Cardiac Radiotherapy-Induced Epigenetic Memory Underlies Electrophysiologic and Metabolic Reprogramming [ATAC-seq] 50 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.