The effect of glutamine on EMT and lung cancer metastasis
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)
- Topic
- Lung cancerThis series is part of our curated briefing on it.
- Samples
- 18 samples: 18 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.
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 GSE249357_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 PRJNA1048850 and SRA study SRP475924. 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 18 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.
- GSM7937437 1_0Q
- GSM7937438 1_0Q+
- GSM7937439 1_0.2Q
- GSM7937440 1_0.2Q+
- GSM7937441 1_0.5Q
- GSM7937442 1_0.5Q+
- GSM7937443 2_0Q
- GSM7937444 2_0Q+
- GSM7937445 2_0.2Q
- GSM7937446 2_0.2Q+
- GSM7937447 2_0.5Q
- GSM7937448 2_0.5Q+
- GSM7937449 3_0Q
- GSM7937450 3_0Q+
- GSM7937451 3_0.2Q
- GSM7937452 3_0.2Q+
- GSM7937453 3_0.5Q
- GSM7937454 3_0.5Q+
- GSE114761 Transforming Growth Factor β-Induced Epithelial-to-Mesenchymal Signature Predicts Metastasis-Free Survival in Non-Small Cell Lung Cancer. 42 samples same disease briefing · shares metastasis, lung
- GSE127465 Single cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species 40 samples same disease briefing · shares lung
- GSE103550 Lung Cancer Cell-Mediated Skeletal Muscle Mitochondrial Dysfunction is Mitigated by 1a,25-Dihydroxyvitamin D3 24 samples same disease briefing · shares lung
- GSE241518 High-throughout sequencing of colorectal cancer and non-small cell lung cancer cells treated actived compound YHM18 4 samples same disease briefing · shares lung
- GSE10072 Gene expression signature of cigarette smoking and its role in lung adenocarcinoma development and survival 107 samples same disease briefing · shares lung
- GSE17958 Affymetrix SNP array data for 47 lung squamous cell carcinoma and 40 esophageal squamous cell carcinoma samples. 87 samples same disease briefing · shares lung
- GSE104244 Bone Marrow Derived Macrophages, NSCLC cell lines, and Kras G12D Lung Tumors Treated with Epigenetic Agents 33 samples same disease briefing · shares lung
- GSE117570 Reprogramming of Tumor-infiltrating Immune Cells in Early Stage of NSCLC 8 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.