Spatially defined multicellular functional units in colorectal cancer revealed from single cell and spatial transcriptomics
Spatial transcriptomics · mouse · 25 samples
- What it is
- Spatial transcriptomicsGene activity measured with its position in a tissue section.
- Organism
- Mus musculus (mouse)
- Samples
- 25 samples: 25 samples, each with a distinct title — no replicated groupsGroups 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
- Spatially defined multicellular functional units in colorectal cancer revealed from single cell and spatial transcriptomicsbioRxiv : the preprint server for biology · 2025
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 GSE260801_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: Spatial studies usually ship Space Ranger style folders (count matrix plus tissue images). Look for them among the supplementary files.
Also filed as BioProject PRJNA1083516 and SRA study SRP493195. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 25 sample titles: 25 distinct titles with little repetition. 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.
- GSM8124718 AV10b_P
- GSM8124719 AV10a_P
- GSM8124720 AV11a_P
- GSM8124721 AV11b_P
- GSM8124722 cont7_P
- GSM8124723 cont8_P
- GSM8124724 cont9_P
- GSM8124725 cont10_P
- GSM8124726 AV12_P
- GSM8124727 AV13_P
- GSM8124728 AV1_V2
- GSM8124729 AV2_V2
- GSM8124730 AV3_V2
- GSM8124731 AV4_V2
- GSM8124732 AV5_V2
- GSM8124733 cont1_V2
- GSM8124734 cont2_V2
- GSM8124735 cont3_V2
- GSM8124736 cont4_V2
- GSM8124737 H55F7CCX2_2_rna
- GSM8124738 H55F7CCX2_2_adt
- GSM8124739 HY2Y2CCXY_7_rna
- GSM8124740 HY2Y2CCXY_7_adt
- GSM8124741 H55F7CCX2_1_rna
- GSM8124742 H55F7CCX2_1_adt
- GSE280652 Spatially-restricted and ontogenically-distinct hepatic macrophages are required for tissue repair. 42 samples shares spatially, spatial
- GSE284264 Spatial genomics reveals cholesterol metabolism as a key factor in immunotherapy resistance in colorectal cancer [bulk RNA-seq] 16 samples shares colorectal, spatial
- GSE264607 Molecular targets of colorectal cancer transformation revealed by single-cell sequencing 14 samples shares colorectal, revealed
- GSE263793 Microglia - astrocyte cross-talk in the amyloid plaque niche of an Alzheimer's disease mouse model as revealed by spatial transcriptomics 7 samples shares revealed, spatial
- GSE245316 Spatially restricted immune and microbiota-driven adaptation of the gut 72 samples shares spatially, spatial
- GSE280514 Spatially-restricted and ontogenically-distinct hepatic macrophages are required for tissue repair. 48 samples shares spatially, spatial
- GSE245274 Spatially restricted immune and microbiota-driven adaptation of the gut [Spatial Transcriptomics] 46 samples shares spatially, spatial
- GSE274167 Eomesodermin dependence delineates the formation of spatially and functionally diverse extra-embryonic hematovascular tissues [Multiome] 28 samples shares spatially, spatial
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.