ERK5 suppression overcomes FAK inhibitor resistance in mutant KRAS-driven non-small cell lung cancer [p697_ERK5]
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
- Lung cancerThis series is part of our curated briefing on it.
- Samples
- 12 samples: 3 × A549 cells, CTRL vs 3 × A549 cells, ROSCO vs 3 × A549 cells, XMD vs 3 × A549 cells, COMBOGroups 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
- ERK5 suppression overcomes FAK inhibitor resistance in mutant KRAS-driven non-small cell lung cancerEMBO molecular medicine · 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 GSE255628_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 PRJNA1075794 and SRA study SRP489488. 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.
- GSM8076332 A549 cells, CTRL1 A549 cells, CTRL
- GSM8076333 A549 cells, CTRL2 A549 cells, CTRL
- GSM8076334 A549 cells, CTRL3 A549 cells, CTRL
- GSM8076335 A549 cells, ROSCO1 A549 cells, ROSCO
- GSM8076336 A549 cells, ROSCO2 A549 cells, ROSCO
- GSM8076337 A549 cells, ROSCO3 A549 cells, ROSCO
- GSM8076338 A549 cells, XMD1 A549 cells, XMD
- GSM8076339 A549 cells, XMD2 A549 cells, XMD
- GSM8076340 A549 cells, XMD3 A549 cells, XMD
- GSM8076341 A549 cells, COMBO1 A549 cells, COMBO
- GSM8076342 A549 cells, COMBO2 A549 cells, COMBO
- GSM8076343 A549 cells, COMBO3 A549 cells, COMBO
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- GSE117570 Reprogramming of Tumor-infiltrating Immune Cells in Early Stage of NSCLC 8 samples same disease briefing
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- GSE10072 Gene expression signature of cigarette smoking and its role in lung adenocarcinoma development and survival 107 samples same disease briefing
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- GSE104244 Bone Marrow Derived Macrophages, NSCLC cell lines, and Kras G12D Lung Tumors Treated with Epigenetic Agents 33 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.