Spatially resolved single-cell transcriptomic profiling of human colorectal cancer using NanoString CosMx SMI
Spatial transcriptomics · human · 17 samples
- What it is
- Spatial transcriptomicsGene activity measured with its position in a tissue section.
- Organism
- Homo sapiens (human)
- Samples
- 17 samples
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI.
Read the full summary ↓
Direct links to NCBI, 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.
Whole study · RAW.tar
Everything the authors deposited as one archive (GSE348495_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.
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 PRJNA1534076. 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.
+ 17 more — browse all 17 samples with per-sample file links →
- GSE176078 A single-cell and spatially resolved atlas of human breast cancers 26 samples shares single-cell, spatially, resolved
- GSE294300 Single-cell gene expression profiles of cells from primary colorectal cancer and adjacent normal tissue [scRNA-Seq] 36 samples shares single-cell, colorectal
- GSE315534 Single-cell RNA sequencing of primary colorectal cancer, matched adjacent normal tissues, and paired liver metastases 15 samples shares single-cell, colorectal
- GSE290367 Single-cell multiomic integration identifies widespread, cell-type resolved fetal reactivation in the diseased human heart 90 samples shares single-cell, resolved
- GSE294559 Single-cell multi-omics characterize colorectal tumors, adjacent healthy tissue and matched organoids identifying CRC-unique features 72 samples shares single-cell, colorectal
- GSE243013 A single-cell atlas of immune heterogeneity in anti-PD1-treated non-small cell lung cancer 243 samples shares single-cell
- GSE336781 ZFP36L2 orchestrates stress-adaptive plasticity in intestinal regeneration and colorectal cancer metastasis 93 samples shares colorectal
- GSE292858 RNA-Seq analysis of tumor and matched normal samples from colorectal cancer patients. 73 samples shares colorectal
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.