scRNA seq. of PDAC models treated with Kras inhibitors in combination with checkpoint immunotherapy
Single-cell RNA-seq · mouse · 9 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
- 9 samples: 9 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.
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 GSE337208_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 PRJNA1484479 and SRA study SRP714286. 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 9 sample titles: 9 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.
- GSM9850794 Orthotopic KPC1 PDAC, Veh, 2w
- GSM9850795 Orthotopic KPC1 PDAC, MRTX1133, 2w
- GSM9850796 Orthotopic KPC3 PDAC, anti-CTLA4, 10d
- GSM9850797 Orthotopic KPC3 PDAC,MRTX1133, 10d
- GSM9850798 Orthotopic KPC3 PDAC, MRTX1133+anti-CTLA4, 10d
- GSM9850799 Orthotopic KPC2 PDAC, RMC6236, 2w
- GSM9850800 Orthotopic KPC2 PDAC, Veh/Iso, 2w
- GSM9850801 Orthotopic KPC2 PDAC, RMC6236+anti-CTLA4, 2w
- GSM9850802 Orthotopic KPC2 PDAC, RMC6236+anti-PD1, 2w
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares combination, checkpoint, scrna
- GSE266971 Spatial and scRNAseq profiling of murine glioblastomas treated with and without anti-CSF-1R inhibitors 23 samples shares inhibitors, treated, scrna
- GSE222133 CUT&Tag analysis of H3K4me3, H3K27Ac,H2A119Ub and H3K27me3 in treated KPC1199 murine PDAC cell line 12 samples shares pdac, treated
- GSE284500 Transcriptional profiling of hippocampus from a zQ175 KI mouse model of Huntington's disease treated with either HTT-10150 siRNA targeting full-length HTT or combination of HTT-634 and HTT-486 siRNAs targeting HTT1a 192 samples shares combination, treated
- GSE302715 A tumor-associated macrophage-targeted immunocytokine leveraging T and NK cell synergy for potent cancer immunotherapy [scRNA-seq] 187 samples shares immunotherapy, scrna
- GSE342349 CT26 multi-tissue RNA-seq under immunotherapy combinations 72 samples shares immunotherapy, combination
- GSE263274 Insights into the mechanisms of serplulimab: a distinctive anti-PD-1 monoclonal antibody, in combination with a TIGIT or LAG3 inhibitor in preclinical tumor immunotherapy studies 45 samples shares immunotherapy, combination
- GSE298720 Global gene expression profiles were compared among IL1B-treated, Ad-OSCAR-treated, and control mice, with or without subsequent treatment with OSCAR inhibitors (Brivudine or Adefovir). 35 samples shares inhibitors, treated
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.