Functional mapping of epigenomic regulators uncovers coordinated tumor suppression by the HBO1 and MLL1 complexes [scRNA-seq]
Single-cell RNA-seq · mouse · 10 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
- 10 samples: 8 × sub_library vs 2 × scr_libraryGroups 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
- Functional Mapping of Epigenomic Regulators Uncovers Coordinated Tumor Suppression by the HBO1 and MLL1 ComplexesCancer discovery · 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 GSE282851_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 PRJNA1190859 and SRA study SRP547691. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8651500 sub_library1 sub_library
- GSM8651501 sub_library2 sub_library
- GSM8651502 sub_library3 sub_library
- GSM8651503 sub_library4 sub_library
- GSM8651504 sub_library5 sub_library
- GSM8651505 sub_library6 sub_library
- GSM8651506 sub_library7 sub_library
- GSM8651507 sub_library8 sub_library
- GSM8651508 scr_library3 scr_library
- GSM8651509 scr_library4 scr_library
- GSE281967 Functional mapping of epigenomic regulators uncovers coordinated tumor suppression by the HBO1 and MLL1 complexes [bullk ATAC-seq] 21 samples shares hbo1, mll1, coordinated, suppression, epigenomic, regulators, complexes
- GSE303263 Functional mapping of epigenomic regulators uncovers coordinated tumor suppression by the HBO1 and MLL1 complexes [802T4] 12 samples shares hbo1, mll1, coordinated, suppression, epigenomic, regulators, complexes
- GSE303178 Functional mapping of epigenomic regulators uncovers coordinated tumor suppression by the HBO1 and MLL1 complexes [KPTC CUT&RUN] 12 samples shares hbo1, mll1, coordinated, suppression, epigenomic, regulators, complexes
- GSE303264 Functional mapping of epigenomic regulators uncovers coordinated tumor suppression by the HBO1 and MLL1 complexes [KP787] 11 samples shares hbo1, mll1, coordinated, suppression, epigenomic, regulators, complexes
- GSE283530 MOZ and HBO1 Histone Acetyltransferase Complexes Are Molecular Dependencies and Therapeutic Targets in NUP98-Rearranged Acute Myeloid Leukemia [ChIP-Seq] 16 samples shares hbo1, complexes
- GSE294999 Obesity-driven inflammation enables triple-negative breast cancer progression through immunosuppression [scRNA-Seq] 16 samples shares suppression, scrna-seq
- GSE292318 Neural stem cells epigenomes and fate bias are temporally coordinated during corticogenesis [scRNA-seq] 10 samples shares coordinated, scrna-seq
- GSE295965 Single-cell multi-omics reveal coordinated neoplastic and immune remodeling following KRAS inhibition [scRNA-Seq 1] 10 samples shares coordinated, scrna-seq
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.