Single-cell multi-omics reveals tumor microenvironment factors underlying poor immunotherapy responses in ALK-positive lung cancer
Single-cell RNA-seq · human · 23 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Topic
- Lung cancerThis series is part of our curated briefing on it.
- Samples
- 23 samples: 23 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
- Single-cell multi-omics reveals tumor microenvironment factors underlying poor immunotherapy responses in ALK-positive lung cancerCancer communications (London, England) · 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 GSE274934_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 PRJNA1148502 and SRA study SRP526658. 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 23 sample titles: 23 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.
- GSM8462125 AL02, scRNA-seq
- GSM8462126 AL03, scRNA-seq
- GSM8462127 AL04, scRNA-seq
- GSM8462128 AL05, scRNA-seq
- GSM8462129 AL06, scRNA-seq
- GSM8462130 AL08, scRNA-seq
- GSM8462131 AL10, scRNA-seq
- GSM8462132 AL11, scRNA-seq
- GSM8462133 AL12, scRNA-seq
- GSM8462134 AL02, scTCR-seq
- GSM8462135 AL03, scTCR-seq
- GSM8462136 AL04, scTCR-seq
- GSM8462137 AL05, scTCR-seq
- GSM8462138 AL06, scTCR-seq
- GSM8462139 AL08, scTCR-seq
- GSM8462140 AL10, scTCR-seq
- GSM8462141 AL11, scTCR-seq
- GSM8462142 AL12, scTCR-seq
- GSM8462143 AL05, scATAC-seq
- GSM8462144 AL08, scATAC-seq
- GSM8462145 AL10, scATAC-seq
- GSM8462146 AL11, scATAC-seq
- GSM8462147 AL12, scATAC-seq
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- GSE114761 Transforming Growth Factor β-Induced Epithelial-to-Mesenchymal Signature Predicts Metastasis-Free Survival in Non-Small Cell Lung Cancer. 42 samples same disease briefing
- GSE127465 Single cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species 40 samples same disease briefing
- GSE104244 Bone Marrow Derived Macrophages, NSCLC cell lines, and Kras G12D Lung Tumors Treated with Epigenetic Agents 33 samples same disease briefing
- GSE103550 Lung Cancer Cell-Mediated Skeletal Muscle Mitochondrial Dysfunction is Mitigated by 1a,25-Dihydroxyvitamin D3 24 samples same disease briefing
- GSE27389 Substitutions in the KRas oncogene determine protein behavior: Implications for signaling and clinical outcome. 22 samples same disease briefing
- GSE117570 Reprogramming of Tumor-infiltrating Immune Cells in Early Stage of NSCLC 8 samples same disease briefing
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.