Dynamic Reprogramming of Stromal Pdgfra-expressing cells during WNT-Mediated Transformation of the Intestinal Epithelium [Figure 5]
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. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × Vehicle vs 3 × TGFB1 vs 3 × Vehicle_Tgfbr2KO vs 3 × TGFB1_KOGroups 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
- Dynamic Reprogramming of PDGFRA-Expressing Stromal Cells Facilitates WNT-Driven Transformation by Promoting a Fetal-Like State in the Intestinal EpitheliumCancer research · 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 GSE287341_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 PRJNA1212161 and SRA study SRP558130. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 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.
- GSM8744552 Vehicle Rep 1 Vehicle
- GSM8744553 Vehicle Rep 2 Vehicle
- GSM8744554 Vehicle Rep 3 Vehicle
- GSM8744555 TGFB1 Rep 1 TGFB1
- GSM8744556 TGFB1 Rep 2 TGFB1
- GSM8744557 TGFB1 Rep 3 TGFB1
- GSM8744558 Vehicle_Tgfbr2KO Rep 1 Vehicle_Tgfbr2KO
- GSM8744559 Vehicle_Tgfbr2KO Rep 2 Vehicle_Tgfbr2KO
- GSM8744560 Vehicle_Tgfbr2KO Rep 3 Vehicle_Tgfbr2KO
- GSM8744561 TGFB1_KO Rep 1 TGFB1_KO
- GSM8744562 TGFB1_KO Rep 2 TGFB1_KO
- GSM8744563 TGFB1_KO Rep 3 TGFB1_KO
- GSE295472 NOD2 drives regenerative fetal-like reprogramming in the intestinal epithelium 15 samples shares reprogramming, intestinal, epithelium
- GSE306986 Synergistic Stromal Remodeling and Dual Chemo-Immunotherapy in Pancreatic Cancer: A Two-Stage Losartan-Primed followed Nanocarrier Strategy for Tumor Microenvironment Reprogramming 24 samples shares reprogramming, stromal
- GSE287483 Competing dynamic gene regulatory networks involved in fibroblast reprogramming to haematopoietic progenitor cells [RNA-Seq] 12 samples shares reprogramming, dynamic
- GSE268822 Transcriptional landscapes underlying Notch-induced lineage conversion and reprogramming of mammary cells 840 samples shares reprogramming
- GSE222745 Enhanced activities of OCT4 and SOX2 facilitates epigenetic reprogramming by modulating cell cycle [scRNA-Seq] 422 samples shares reprogramming
- GSE261698 A glial circadian gene expression atlas reveals cell type and disease-specific reprogramming in response to amyloid pathology or aging 165 samples shares reprogramming
- GSE262157 Comparative analysis of mouse strains for in vivo induction of reprogramming factors 96 samples shares reprogramming
- GSE302857 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [RNA-seq] 81 samples shares reprogramming
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.