High-resolution spatial mapping of cell state and lineage dynamics in vivo with PEtracer
Single-cell RNA-seq · mouse · 69 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
- 69 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
- High-resolution spatial mapping of cell state and lineage dynamics in vivo with PEtracerScience (New York, N.Y.) · 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 GSE290975_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 PRJNA1231108 and SRA study SRP567687. 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.
+ 69 more — browse all 69 samples with per-sample file links →
- GSE328655 A high-resolution, sex-stratified atlas of transcriptional and alternative splicing dynamics in the fasting mouse liver. 80 samples shares high-resolution, dynamics
- GSE267904 Mapping spatially resolved transcriptomes in human and mouse pulmonary fibrosis 24 samples shares spatial, mapping
- GSE263415 Spatial hepatocyte plasticity of gluconeogenic gene expression and gluconeogenic activity during the metabolic transitions between fed, fasted and starvation states [RNA-Seq] 18 samples shares spatial, state
- GSE327939 High-Resolution Lineage Tracing in Native Tissue Contexts 79 samples shares high-resolution, lineage
- GSE327687 High-Resolution Lineage Tracing in Native Tissue Contexts [SPACE-seq] 39 samples shares high-resolution, lineage
- GSE249405 Spatial mapping of RNA turnover kinetics in the mouse brain 38 samples shares spatial, mapping
- GSE269332 Cell state dynamics during early stages of serous endometrial carcinoma 30 samples shares dynamics, state
- GSE249403 Spatial mapping of RNA turnover kinetics in the mouse brain [Spatial NT-seq] 20 samples shares spatial, mapping
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.