Deciphering functional intra-tumoral heterogeneity in BRAFV600E-driven mouse thyroid cancer reveals EMT trajectory and metabolic remodeling
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. 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
- 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
- Deciphering functional intra-tumoral heterogeneity in BRAF(V600E)-driven mouse thyroid cancer reveals EMT trajectory and metabolic remodelingOncogene · 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 GSE311419_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 PRJNA1369432 and SRA study SRP648879. 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 →
- GSE288196 Single cell multiomics unravel the transcription networks controlling the different EMT tumor states [bulk RNA-seq] 22 samples shares emt
- GSE300269 Loss of WWOX Drives Cutaneous Squamous Cell Carcinoma (cSCC) through Regulating EMT [RNA-Seq] 20 samples shares emt
- GSE296474 Investigation of EMT Processes in Migrating Mammary Epithelial Organoids 15 samples shares emt
- GSE283802 Effect of depletion NEDD4 on gene expression on 4T1 and EMT6 tumor cells 12 samples shares emt
- GSE287164 Effect of depletion of ISG20 on gene expression in EMT6 mouse breast cancer cells with RNA-Seq. 12 samples shares emt
- GSE291961 c-Rel drives pancreatic cancer metastasis through Fibronectin-Integrin signaling-induced isolation stress resistance and EMT activation 12 samples shares emt
- GSE198337 Epigenomic disorder and partial EMT impair luminal progenitor integrity in Brca1-associated breast tumorigenesis 11 samples shares emt
- GSE151789 Gene expression profiling of EMT-associated breast cancer models 8 samples shares emt
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.