A tumor-associated macrophage-targeted immunocytokine leveraging T and NK cell synergy for potent cancer immunotherapy [scRNA-seq]
Single-cell RNA-seq · mouse · 187 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
- 187 samples: 187 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
- Macrophage-targeted immunocytokine leverages myeloid, T, and NK cell synergy for cancer immunotherapyCell · 2025
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 GSE302715_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 PRJNA1291784 and SRA study SRP601116. 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 187 sample titles: 187 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.
- GSM9109273 AB15396.txt
- GSM9109274 AB15397.txt
- GSM9109275 AB15398.txt
- GSM9109276 AB15399.txt
- GSM9109277 AB15400.txt
- GSM9109278 AB15401.txt
- GSM9109279 AB15402.txt
- GSM9109280 AB15403.txt
- GSM9109281 AB15404.txt
- GSM9109282 AB15405.txt
- GSM9109283 AB15406.txt
- GSM9109284 AB15407.txt
- GSM9109285 AB15408.txt
- GSM9109286 AB15409.txt
- GSM9109287 AB15410.txt
- GSM9109288 AB15411.txt
- GSM9109289 AB15412.txt
- GSM9109290 AB15413.txt
- GSM9109291 AB15414.txt
- GSM9109292 AB15415.txt
- GSM9109293 AB15416.txt
- GSM9109294 AB15417.txt
- GSM9109295 AB15418.txt
- GSM9109296 AB15419.txt
- GSM9109297 AB15420.txt
- GSM9109298 AB15421.txt
- GSM9109299 AB15422.txt
- GSM9109300 AB15423.txt
- GSM9109301 AB15424.txt
- GSM9109302 AB15425.txt
- GSM9109303 AB15426.txt
- GSM9109304 AB15427.txt
- GSM9109305 AB15428.txt
- GSM9109306 AB15429.txt
- GSM9109307 AB15430.txt
- GSM9109308 AB15431.txt
- GSM9109309 AB15432.txt
- GSM9109310 AB15433.txt
- GSM9109311 AB15434.txt
- GSM9109312 AB15435.txt
+ 147 more — browse all 187 samples with per-sample file links →
- GSE215960 Subclonal evolution revealed by single-cell profiles of expressed mutations identifies adaptation mechanisms to immunotherapy in melanoma [scRNA-seq] 192 samples shares immunotherapy, scrna-seq
- GSE212259 Whole-course Taming of Tumor-associated Macrophages from Central to Peripheral using Engineered Outer Membrane Vesicle Nanohybrids for Improved Immunotherapy [part 1: RNA-seq] 36 samples shares tumor-associated, immunotherapy
- GSE311488 Chemotherapeutic Induction of Single-Stranded DNA Accumulation Sensitizes Triple-Negative Breast Cancer to Immunotherapy [scRNA-seq] 32 samples shares immunotherapy, scrna-seq
- GSE234086 The immune checkpoint TIGIT is upregulated on T cells during bacterial infection and is a potential target for immunotherapy 24 samples shares immunotherapy, potent
- GSE240840 Tumor-associated neutrophils attenuate the immuno-sensitivity of hepatocellular carcinoma and curtail immunotherapy response 23 samples shares tumor-associated, immunotherapy
- GSE283694 Bacterial immunotherapy leveraging IL-10R hysteresis for both phagocytosis evasion and tumor immunity revitalization [RNA-seq] 21 samples shares immunotherapy, leveraging
- GSE240838 Tumor-associated neutrophils attenuate the immuno-sensitivity of hepatocellular carcinoma and curtail immunotherapy response [RNA-Seq] 17 samples shares tumor-associated, immunotherapy
- GSE273440 A tumor-associated photoreceptor signature unifies distinct central nervous system malignancies [scRNA-seq] 13 samples shares tumor-associated, scrna-seq
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.