Identification of resistance mechanisms to small-molecule inhibition of YAP/TEAD-regulated transcription [RNA-seq]
RNA-seq (gene expression) · human · 18 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)
- Samples
- 18 samples: 6 conditions, mostly in triplicateGroups 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
- Identification of resistance mechanisms to small-molecule inhibition of TEAD-regulated transcriptionEMBO reports · 2024
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 GSE269899_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 PRJNA1124089 and SRA study SRP514009. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 3 samples read as cases, 6 as controls.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8329845 NCI-H2052, control,R1 NCI-H2052, control,
- GSM8329846 NCI-H2052, control,R2 NCI-H2052, control,
- GSM8329847 NCI-H2052, control,R3 NCI-H2052, control,
- GSM8329848 NCI-H226, control,R1 NCI-H226, control,
- GSM8329849 NCI-H226, control,R2 NCI-H226, control,
- GSM8329850 NCI-H226, control, R3 NCI-H226, control,
- GSM8329851 NCI-H2052, NF1 mutant, control, R1 NCI-H2052, NF1 mutant, …
- GSM8329852 NCI-H2052, NF1 mutant, control, R2 NCI-H2052, NF1 mutant, …
- GSM8329853 NCI-H2052, NF1 mutant, control, R3 NCI-H2052, NF1 mutant, …
- GSM8329862 NCI-H2052, VT107, R1 NCI-H2052, VT107,
- GSM8329863 NCI-H2052, VT107, R2 NCI-H2052, VT107,
- GSM8329864 NCI-H2052, VT107, R3 NCI-H2052, VT107,
- GSM8329865 NCI-H226, VT107, R1 NCI-H226, VT107,
- GSM8329866 NCI-H226, VT107, R2 NCI-H226, VT107,
- GSM8329867 NCI-H226, VT107, R3 NCI-H226, VT107,
- GSM8329868 NCI-H2052, NF1 mutant, VT107, R1 NCI-H2052, NF1 mutant, …
- GSM8329869 NCI-H2052, NF1 mutant, VT107, R2 NCI-H2052, NF1 mutant, …
- GSM8329870 NCI-H2052, NF1 mutant, VT107, R3 NCI-H2052, NF1 mutant, …
- GSE227974 MY-COMP, an inhibitor of the transcriptional activity of YAP-B-MYB, identifies NEK2 as a novel mediator of YAP oncogenesis in uveal melanoma cells 29 samples shares yap, transcription
- GSE269826 Conserved patterns of transcriptional dysregulation, heterogeneity and cell states in clear cell kidney cancer [scRNA-seq] 79 samples shares transcription, rna-seq
- GSE189357 Spatiotemporal transcriptional atlas of lung adenocarcinoma from adenocarcinoma in situ to invasive carcinoma [scRNA-seq] 9 samples shares transcription, rna-seq
- GSE318861 Quantitative analysis of Tat-dependent and host-driven HIV transcription by ChIP-seq and RNA-seq 52 samples shares transcription, rna-seq
- 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 transcription, resistance
- GSE269942 YAP1 status defines two intrinsic subtypes of LCNEC with distinct molecular features and therapeutic vulnerabilities 12 samples shares yap
- GSE250220 YAP1 regulates thrombopoiesis by binding to MYH9 in immune thrombocytopenia 11 samples shares yap
- GSE314310 Cardiopedia-Ligand: a Ligand Stimulation Atlas for Cardiac Function and Transcriptional Response 468 samples shares transcription
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.