A combinatorial transcription factor screening protocol for identifying cellular reprogramming minimal networks [scRNA-seq]
Single-cell RNA-seq · mouse · 2 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
- 2 samples
- 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
- Protocol for identifying cellular reprogramming minimal networks using combinatorial transcription factor screeningSTAR protocols · 2026
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 GSE321717_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 PRJNA1429326 and SRA study SRP679825. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 2 more — browse all 2 samples with per-sample file links →
- GSE245838 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse scRNA-seq] 21 samples shares transcription, screening, scrna-seq
- GSE242709 Global transcriptional profiles of primary and secondary cellular senescence in vivo by oncogene-induced senescence (OIS) and stress-induced senescence (SIS) 76 samples shares transcription, cellular
- GSE276682 Single-cell transcriptome analysis revealed cellular reprogramming following Tetramethylpyrazine treatment in LPS-induced acute lung injury 12 samples shares reprogramming, cellular
- GSE294258 Intracellular iron homeostasis-regulated epigenetic reprogramming contributes to -7/del(7q) leukemia 71 samples shares reprogramming, cellular
- GSE267452 Loss of Nuclear Receptor Nr4a3 Alleviates Cellular Senescence to Promote Adult Direct Cardiac Reprogramming 54 samples shares reprogramming, cellular
- GSE301501 Extracellular matrix reprogramming by the YAP/TAZ/TGF-ß2 axis drives immune exclusion in cholangiocarcinoma models 45 samples shares reprogramming, cellular
- GSE281941 Klf5 functions as a multi-lineage reprogramming transcription factor 30 samples shares transcription, reprogramming
- GSE279042 Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing [CUT&Tag] 30 samples shares reprogramming, cellular
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.