β-Lapachone Antagonizes Ubiquitin-Specific Protease 18 Activity to Elicit Anti-Neoplastic Effects
RNA-seq (gene expression) · human · 54 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
- 54 samples: 18 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.
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 GSE318135_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 PRJNA1416776 and SRA study SRP671629. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 54 samples.
How we read this: 18 replicated groups read from 54 sample titles; they account for 54 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.
- GSM9486903 DMSO_E_V replicate 1 DMSO_E_V
- GSM9486904 DMSO_E_V replicate 2 DMSO_E_V
- GSM9486905 DMSO_E_V replicate 3 DMSO_E_V
- GSM9486906 DMSO_USP18_O_E replicate 1 DMSO_USP18_O_E
- GSM9486907 DMSO_USP18_O_E replicate 2 DMSO_USP18_O_E
- GSM9486908 DMSO_USP18_O_E replicate 3 DMSO_USP18_O_E
- GSM9486909 CP2_2uM_E_V replicate 1 CP2_2uM_E_V
- GSM9486910 CP2_2uM_E_V replicate 2 CP2_2uM_E_V
- GSM9486911 CP2_2uM_E_V replicate 3 CP2_2uM_E_V
- GSM9486912 CP2_2uM_USP18_O_E replicate 1 CP2_2uM_USP18_O_E
- GSM9486913 CP2_2uM_USP18_O_E replicate 2 CP2_2uM_USP18_O_E
- GSM9486914 CP2_2uM_USP18_O_E replicate 3 CP2_2uM_USP18_O_E
- GSM9486915 CP2_5uM_E_V replicate 1 CP2_5uM_E_V
- GSM9486916 CP2_5uM_E_V replicate 2 CP2_5uM_E_V
- GSM9486917 CP2_5uM_E_V replicate 3 CP2_5uM_E_V
- GSM9486918 CP2_5uM_USP18_O_E replicate 1 CP2_5uM_USP18_O_E
- GSM9486919 CP2_5uM_USP18_O_E replicate 2 CP2_5uM_USP18_O_E
- GSM9486920 CP2_5uM_USP18_O_E replicate 3 CP2_5uM_USP18_O_E
- GSM9486921 CP14_1uM_E_V replicate 1 CP14_1uM_E_V
- GSM9486922 CP14_1uM_E_V replicate 2 CP14_1uM_E_V
- GSM9486923 CP14_1uM_E_V replicate 3 CP14_1uM_E_V
- GSM9486924 CP14_1uM_USP18_O_E replicate 1 CP14_1uM_USP18_O_E
- GSM9486925 CP14_1uM_USP18_O_E replicate 2 CP14_1uM_USP18_O_E
- GSM9486926 CP14_1uM_USP18_O_E replicate 3 CP14_1uM_USP18_O_E
- GSM9486927 CP14_2_5uM_E_V replicate 1 CP14_2_5uM_E_V
- GSM9486928 CP14_2_5uM_E_V replicate 2 CP14_2_5uM_E_V
- GSM9486929 CP14_2_5uM_E_V replicate 3 CP14_2_5uM_E_V
- GSM9486930 CP14_2_5uM_USP18_O_E replicate 1 CP14_2_5uM_USP18_O_E
- GSM9486931 CP14_2_5uM_USP18_O_E replicate 2 CP14_2_5uM_USP18_O_E
- GSM9486932 CP14_2_5uM_USP18_O_E replicate 3 CP14_2_5uM_USP18_O_E
- GSM9486933 CP14_5uM_E_V replicate 1 CP14_5uM_E_V
- GSM9486934 CP14_5uM_E_V replicate 2 CP14_5uM_E_V
- GSM9486935 CP14_5uM_E_V replicate 3 CP14_5uM_E_V
- GSM9486936 CP14_5uM_USP18_O_E replicate 1 CP14_5uM_USP18_O_E
- GSM9486937 CP14_5uM_USP18_O_E replicate 2 CP14_5uM_USP18_O_E
- GSM9486938 CP14_5uM_USP18_O_E replicate 3 CP14_5uM_USP18_O_E
- GSM9486939 CP18_1uM_E_V replicate 1 CP18_1uM_E_V
- GSM9486940 CP18_1uM_E_V replicate 2 CP18_1uM_E_V
- GSM9486941 CP18_1uM_E_V replicate 3 CP18_1uM_E_V
- GSM9486942 CP18_1uM_USP18_O_E replicate 1 CP18_1uM_USP18_O_E
+ 14 more — browse all 54 samples with per-sample file links →
- GSE127465 Single cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species 40 samples same disease briefing
- GSE103550 Lung Cancer Cell-Mediated Skeletal Muscle Mitochondrial Dysfunction is Mitigated by 1a,25-Dihydroxyvitamin D3 24 samples same disease briefing
- GSE117570 Reprogramming of Tumor-infiltrating Immune Cells in Early Stage of NSCLC 8 samples same disease briefing
- GSE241518 High-throughout sequencing of colorectal cancer and non-small cell lung cancer cells treated actived compound YHM18 4 samples same disease briefing
- GSE10072 Gene expression signature of cigarette smoking and its role in lung adenocarcinoma development and survival 107 samples same disease briefing
- GSE17958 Affymetrix SNP array data for 47 lung squamous cell carcinoma and 40 esophageal squamous cell carcinoma samples. 87 samples same disease briefing
- 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
- 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.