Single-cell RNA sequencing reveals cellular heterogeneity in lineage specification of MC38 subcutaneous tumor cells with either SPP1 overexpression or vector control
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
- SPP1 Drives Colorectal Cancer Liver Metastasis and Immunotherapy Resistance by Stimulating CXCL12 Production in Cancer-Associated FibroblastsCancer 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 GSE298348_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 PRJNA1268999 and SRA study SRP588374. 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 →
- GSE316313 Single-cell RNA sequencing of MC38 subcutaneous allograft tumors in C57BL/6J mice treated with FOLFOX alone or in combination with a composite probiotics 9 samples shares mc38, subcutaneous, single-cell
- GSE319517 Growth of subcutaneous MC38 colorectal cancer triggers mild cachexia 8 samples shares mc38, subcutaneous
- GSE241206 Vascular and perivascular cell profiling reveals the molecular and cellular bases of blood-brain barrier heterogeneity 105 samples shares heterogeneity, cellular
- GSE74534 Parallel single-cell bisulfite- and RNA-sequencing link transcriptional and epigenetic heterogeneity [RNA-seq] 96 samples shares heterogeneity, single-cell
- GSE269748 A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets 36 samples shares heterogeneity, single-cell
- GSE220691 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI. 22 samples shares heterogeneity, single-cell
- GSE271243 Berberine protects against hepatocellular carcinoma progression by regulating intrahepatic T cell heterogeneity 18 samples shares heterogeneity, cellular
- GSE271709 The Alb-R26Met liver cancer mouse model recapitulates molecular features and heterogeneity of hepatocellular carcinoma patients 18 samples shares heterogeneity, 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.