Single-cell RNAseq analysis of relapsed SCLC patient specimens
Single-cell RNA-seq · human · 15 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
- Small cell lung cancerThis series is part of our curated briefing on it.
- Samples
- 15 samples: 15 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
- YAP1 Defines an Emergent, Plastic Population of Relapsed SCLCJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
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 GSE299684_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 PRJNA1276063 and SRA study SRP591793. 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 15 sample titles: 15 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.
- GSM9043712 SC123_135A
- GSM9043713 SC123_140A
- GSM9043714 SC134_142A
- GSM9043715 SC134_145A
- GSM9043716 SC181_151B
- GSM9043717 SC229_233A
- GSM9043718 SC267_162B
- GSM9043719 SC267_262A
- GSM9043720 SC324_SC279A
- GSM9043721 SC409_SC363A
- GSM9043722 SC354_SC396-A
- GSM9043723 SC419_SC416A
- GSM9043724 SC419_SC439A
- GSM9043725 SC429_SC437A
- GSM9043726 SC437_SC370A
- GSE272002 LSD1 inhibitor, TAS1440, disrupts INSM1-LSD1 complex activating tumor-suppressive pathways via transcriptional reprogramming in neuroendocrine SCLC 324 samples same disease briefing · shares sclc
- GSE279100 Differential KEAP1/NRF2-mediated signaling widens the therapeutic window of redox-targeting drugs in SCLC therapy [seq] 50 samples same disease briefing · shares sclc
- GSE267928 Teriflunomide/leflunomide synergize with chemotherapeutics by decreasing mitochondrial fragmentation via DRP1 in SCLC 12 samples same disease briefing · shares sclc
- GSE245123 A key netwrok hub gene GRN confers chemo resistance in H2081 SCLC cells. 6 samples same disease briefing · shares sclc
- GSE66298 A DNA Hypomethylation Signature Predicts Novel Anti-Tumor Activity of LSD1 Inhibitors in SCLC 136 samples same disease briefing · shares sclc
- GSE280643 Differential KEAP1/NRF2-mediated signaling widens the therapeutic window of redox-targeting drugs in SCLC therapy 74 samples same disease briefing · shares sclc
- GSE138474 Single-cell analyses reveal increasing intratumoral heterogeneity as an essential component of treatment resistance in small cell lung cancer 43 samples same disease briefing · shares single-cell
- GSE149507 Microarray expression data of 18 pairs of small cell lung cancer (sclc) and tumor and adjacent lung tissues 36 samples same disease briefing · shares sclc
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.