CPSF6-RARγ Interacts with HDAC3 to Promote Myeloid Transformation [CR-N_mice_scRNA-seq]
Single-cell RNA-seq · mouse · 12 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 6 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
- CPSF6-RARγ interacts with histone deacetylase 3 to promote myeloid transformation in RARG-fusion acute myeloid leukemiaNature communications · 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 GSE247606_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1039810 and SRA study SRP471637. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 6 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.
- GSM7897869 WT/V, replicate 1 WT/V,
- GSM7897870 WT/V, replicate 2 WT/V,
- GSM7897871 WT/N, replicate 1 WT/N,
- GSM7897872 WT/N, replicate 2 WT/N,
- GSM7897873 CRL/V, replicate 1 CRL/V,
- GSM7897874 CRL/V, replicate 2 CRL/V,
- GSM7897875 CRL/N, replicate 1 CRL/N,
- GSM7897876 CRL/N, replicate 2 CRL/N,
- GSM7897877 CRS/V, replicate 1 CRS/V,
- GSM7897878 CRS/V, replicate 2 CRS/V,
- GSM7897879 CRS/N, replicate 1 CRS/N,
- GSM7897880 CRS/N, replicate 2 CRS/N,
- GSE245028 CPSF6-RARγ Interacts with HDAC3 to Promote Myeloid Transformation [BM Mac1+ and c-kit+ cells RNA-seq] 6 samples shares cpsf6-rar, hdac3, transformation, interacts, promote, myeloid
- GSE208436 Nucleoporin Nup358 drives the differentiation of myeloid-biased multipotent progenitors by modulating HDAC3 nuclear translocation 4 samples shares hdac3, myeloid
- GSE261783 Identification of epigenetic regulators of fibrotic transformation in cardiac fibroblasts through bulk and single-cell CRISPR screens [scRNA-seq] 10 samples shares transformation, scrna-seq
- GSE266579 APC loss promotes intestinal transformation though B-CATENIN-independent dysregulation of a GSK3-AJUBA-YAP signaling axis 7 samples shares transformation, promote
- GSE293597 The Polycomb Protein EED Constrains the SCLC Neuroendocrine Phenotype and Drives Lung Cancer Histological Transformation [scRNA-seq] 6 samples shares transformation, scrna-seq
- GSE27816 Tet2 loss leads to increased hematopoietic stem cell self-renewal and myeloid transformation 14 samples shares transformation, myeloid
- GSE277929 Transcriptional repression by HDAC3 mediates T cell exclusion from Kras mutant lung tumors [KL GEMM Treated Primary Tumors RNA-seq] 35 samples shares hdac3
- GSE220042 Arresting the Bad Seed: HDAC3 Regulates Proliferation of Different Microglia after Ischemic Stroke [RNA-seq] 12 samples shares hdac3
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.