RNAseq analysis for transcriptomes of ATO treated U937 cell lines expressing 10 type 1 p53 mutants, type-3 p53-R273H, p53 null, or p53 wild-type
RNA-seq (gene expression) · human · 24 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
- 24 samples: 24 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.
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 GSE182565_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 PRJNA756908 and SRA study SRP333674. 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 24 sample titles: 24 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.
- GSM5531448 U937 (p53-null) treated with DMSO for 24 h
- GSM5531449 U937 (p53 wild-type) treated with DMSO for 24 h
- GSM5531450 U937 (p53-L130V) treated with DMSO for 24 h
- GSM5531451 U937 (p53-L130V) treated with 1 μg/ml ATO for 24 h
- GSM5531452 U937 (p53-L130F) treated with DMSO for 24 h
- GSM5531453 U937 (p53-L130F) treated with 1 μg/ml ATO for 24 h
- GSM5531454 U937 (p53-L130R) treated with DMSO for 24 h
- GSM5531455 U937 (p53-L130R) treated with 1 μg/ml ATO for 24 h
- GSM5531456 U937 (p53-P142L) treated with DMSO for 24 h
- GSM5531457 U937 (p53-P142L) treated with 1 μg/ml ATO for 24 h
- GSM5531458 U937 (p53-V143M) treated with DMSO for 24 h
- GSM5531459 U937 (p53-V143M) treated with 1 μg/ml ATO for 24 h
- GSM5531460 U937 (p53-M237V) treated with DMSO for 24 h
- GSM5531461 U937 (p53-M237V) treated with 1 μg/ml ATO for 24 h
- GSM5531462 U937 (p53-F270I) treated with DMSO for 24 h
- GSM5531463 U937 (p53-F270I) treated with 1 μg/ml ATO for 24 h
- GSM5531464 U937 (p53-F270V) treated with DMSO for 24 h
- GSM5531465 U937 (p53-F270V) treated with 1 μg/ml ATO for 24 h
- GSM5531466 U937 (p53-V272M) treated with DMSO for 24 h
- GSM5531467 U937 (p53-V272M) treated with 1 μg/ml ATO for 24 h
- GSM5531468 U937 (p53-V272A) treated with DMSO for 24 h
- GSM5531469 U937 (p53-V272A) treated with 1 μg/ml ATO for 24 h
- GSM5531470 U937 (p53-R273H) treated with DMSO for 24 h
- GSM5531471 U937 (p53-R273H) treated with 1 μg/ml ATO for 24 h
- GSE296117 A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor 18 samples shares ato, treated
- GSE272346 Late-stage tertiary lymphoid structures in hepatocellular carcinoma treated with neoadjuvant immune checkpoint blockade [bulk RNA-seq] 14 samples shares ato, treated
- GSE200334 Single cell transcriptomes of genetic landscape from actinic keratosis to cutaneous squamous cell carcinoma 14 samples shares ato, transcriptomes
- GSE312129 Single-nuclei multiome and spatial analyses of early, untreated SSc skin identify a proinflammatory vascular niche of macrophage-fibroblast signaling 38 samples shares ato, treated
- GSE272348 Late-stage tertiary lymphoid structures in hepatocellular carcinoma treated with neoadjuvant immune checkpoint blockade 31 samples shares ato, treated
- GSE282464 Molecular landscape of respiratory infection: A large-scale, multi-centre blood transcriptome dataset 377 samples shares ato
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares ato
- GSE282122 A longitudinal single-cell atlas of anti-tumour necrosis factor treatment in inflammatory bowel disease 216 samples shares ato
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.