single-cell RNA-sequence data of clinical small cell lung cancer samples
Single-cell RNA-seq · human · 19 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)
- Samples
- 19 samples: 18 distinct titles, 1 of them repeatedGroups 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
- FOXA2 promotes metastatic competence in small cell lung cancerNature communications · 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 GSE281740_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 PRJNA1185627 and SRA study SRP544887. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 19 sample titles: 18 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.
- GSM8627385 scRNA-seq from small cell lung cancer patient Ru1473a
- GSM8627386 scRNA-seq from small cell lung cancer patient Ru1308g
- GSM8627387 scRNA-seq from small cell lung cancer patient Ru1108a
- GSM8627388 scRNA-seq from small cell lung cancer patient Ru1080C
- GSM8627389 scRNA-seq from small cell lung cancer patient Ru1408e
- GSM8627390 scRNA-seq from small cell lung cancer patient Ru1408a
- GSM8627391 scRNA-seq from small cell lung cancer patient Ru1144b
- GSM8627392 scRNA-seq from small cell lung cancer patient Ru1338E
- GSM8627393 scRNA-seq from small cell lung cancer patient Ru1441a
- GSM8627394 scRNA-seq from small cell lung cancer patient Ru1449A
- GSM8627395 scRNA-seq from small cell lung cancer patient Ru426B
- GSM8627396 scRNA-seq from small cell lung cancer patient Ru1305A
- GSM8627397 scRNA-seq from small cell lung cancer patient Ru1181b
- GSM8627398 scRNA-seq from small cell lung cancer patient Ru1152
- GSM8627399 scRNA-seq from small cell lung cancer patient Ru737D
- GSM8627400 scRNA-seq from small cell lung cancer patient Ru1124A
- GSM8627401 scRNA-seq from small cell lung cancer patient Ru1195A
- GSM8627402 scRNA-seq from small cell lung cancer patient Ru1303B
- GSM8627403 scRNA-seq from small cell lung cancer patient Ru1334
- GSE243013 A single-cell atlas of immune heterogeneity in anti-PD1-treated non-small cell lung cancer 243 samples shares single-cell, small, lung
- GSE223499 Non-small Cell Lung Cancer Brain Metastasis Atlas [single nuclei RNAseq] 42 samples shares small, lung
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares single-cell, clinical
- GSE295823 Integrative multi-omics identifies AP-1 transcription factor as a targetable mediator of acquired osimertinib resistance in non-small cell lung cancer 20 samples shares small, lung
- GSE339157 Bulk RNA sequencing of prostate cancer (PCa) primary tumors and metastases: Epworth Clinical Cohort 48 samples shares clinical
- GSE324131 A single-cell and spatial atlas of prostate cancer reveals the combinatorial nature of gene modules underlying lineage plasticity and metastasis 38 samples shares single-cell
- GSE269877 Single-cell RNA-sequencing of BCG naïve and recurrent non-muscle invasive bladder cancer reveals a CD6/ALCAM-mediated immune-suppressive pathway 38 samples shares single-cell
- GSE294300 Single-cell gene expression profiles of cells from primary colorectal cancer and adjacent normal tissue [scRNA-Seq] 36 samples shares single-cell
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.