← BioTransfer GEO Dataset Finder
GEO series

Single cell RNA-seq for AKPS metastatic colon cancer model

GSE308920 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2026/01/08 Platform GPL21103
Summary
Colorectal cancer, a leading cause of cancer-related mortality due to distant metastases, is largely driven by activating mutations in the WNT and MAPK pathways. Understanding the mechanism underlying the various steps involved in the metastatic process is essential for developing effective treatments. Using serial in vivo orthotopic passaging, we developed an immunocompetent mouse model of metastatic colorectal cancer. We demonstrate that highly metastatic tumor cells exhibit chromosomal amplifications in MAPK pathway genes, leading to increased MAPK activity, which in turn suppresses WNT-associated transcriptional programs, including stem cell genes. Pharmacological inhibition of mutant KRASG12D led to a reduction in the MAPK-high/ WNT-low transcriptional state and effectively decreased metastatic dissemination both to the lung and liver. Analysis of CRC patient data revealed that the metastatic gene signature associated with the MAPK-high/ WNT-low state correlated with poorer survival outcomes. These findings underscore the plasticity of metastasis-initiating cells in CRC that arise due to the opposing roles of MAPK and WNT signaling, despite the apparent synergy of these pathways observed during colon tumorigenesis.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE308920_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1333403 and SRA study SRP625649. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.