Teriflunomide/leflunomide synergize with chemotherapeutics by decreasing mitochondrial fragmentation via DRP1 in SCLC
RNA-seq (gene expression) · human · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Topic
- Small cell lung cancerThis series is part of our curated briefing on it.
- Samples
- 12 samples: 3 × C vs 3 × T vs 3 × L vs 3 × TLGroups 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.
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 GSE267928_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1113650 and SRA study SRP508802. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. 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.
- GSM8281701 C1 C
- GSM8281702 C2 C
- GSM8281703 C3 C
- GSM8281704 T1 T
- GSM8281705 T2 T
- GSM8281706 T3 T
- GSM8281707 L1 L
- GSM8281708 L2 L
- GSM8281709 L3 L
- GSM8281710 TL1 TL
- GSM8281711 TL2 TL
- GSM8281712 TL3 TL
- 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
- 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
- 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
- GSE64766 Selective Loss of RB in Resistant EGFR Mutant Lung Adenocarcinomas that Transform to SCLC 16 samples same disease briefing · shares sclc
- GSE255741 Supinoxin Blocks Small Cell Lung Cancer Progression by Inhibiting Mitochondrial Respiration through DDX5 6 samples same disease briefing · shares mitochondrial
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.