STAT3 overexpression lentivirus infect human broncho epithelial cells
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)
- Samples
- 54 samples: 54 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.
- Paper
- STAT3-Dependent Regulation of CFTR and Ciliogenesis Is Essential for Mucociliary Clearance and Innate Airway Defense in Hyper-IgE SyndromeAmerican journal of respiratory and critical care medicine · 2025
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 GSE288010_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 PRJNA1215448 and SRA study SRP559792. 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 54 sample titles: 54 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.
- GSM8757364 D10R NC
- GSM8757365 D10R WT-STAT3
- GSM8757366 D10R Mu-STAT3
- GSM8757367 D10R NC IL1b
- GSM8757368 D10R WT-STAT3 IL1b
- GSM8757369 D10R Mu-STAT3 IL1b
- GSM8757370 D27R NC
- GSM8757371 D27R WT-STAT3
- GSM8757372 D27R Mu-STAT3
- GSM8757373 D27R NC IL1b
- GSM8757374 D27R WT-STAT3 IL1b
- GSM8757375 D27R Mu-STAT3 IL1b
- GSM8757376 D23R NC
- GSM8757377 D23R WT-STAT3
- GSM8757378 D23R Mu-STAT3
- GSM8757379 D23R NC IL1b
- GSM8757380 D23R WT-STAT3 IL1b
- GSM8757381 D23R Mu-STAT3 IL1b
- GSM8757382 D29R NC
- GSM8757383 D29R WT-STAT3
- GSM8757384 D29R Mu-STAT3
- GSM8757385 D29R NC IL1b
- GSM8757386 D29R WT-STAT3 IL1b
- GSM8757387 D29R Mu-STAT3 IL1b
- GSM8757388 D39Q NC
- GSM8757389 D39Q WT-STAT3
- GSM8757390 D39Q Mu-STAT3
- GSM8757391 D39Q NC IL1b
- GSM8757392 D39Q WT-STAT3 IL1b
- GSM8757393 D39Q Mu-STAT3 IL1b
- GSM8757394 D78P NC
- GSM8757395 D78P WT-STAT3
- GSM8757396 D78P Mu-STAT3
- GSM8757397 D78P NC IL1b
- GSM8757398 D78P WT-STAT3 IL1b
- GSM8757399 D78P Mu-STAT3 IL1b
- GSM8757400 D4R NC
- GSM8757401 D4R WT-STAT3
- GSM8757402 D4R Mu-STAT3
- GSM8757403 D4R NC IL1b
+ 14 more — browse all 54 samples with per-sample file links →
- GSE161245 Comparison of bronchial epithelial cells obtained by bronchoscopy from mild asthma patients, moderate asthma patients, severe asthma patients and healthy controls 55 samples shares epithelial, broncho
- GSE241292 SARS-CoV-2-infected human nasal epithelial air-liquid interface cultures 16 samples shares epithelial, infect
- GSE254266 Single-cell analysis of lung epithelial cells reveals age and cell population-specific responses to SARS-CoV-2 infection in ciliated cells 14 samples shares epithelial, infect
- GSE327029 KPNA3 drives temozolomide resistance in glioblastoma by upregulating MGMT and activating STAT3 to sustain glioma stem cells 12 samples shares stat3
- GSE241046 miR-BART1-3p inhibits proliferation and invasion of gastric cancer cells by regulating STAT3/pSTAT3 and PI3K/AKT/pAKT signaling pathways 12 samples shares stat3
- GSE276108 Cancer-associated fibroblast driven paracrine IL-6/STAT3 signalling promotes migration and dissemination in invasive lobular carcinoma 56 samples shares stat3
- GSE288275 Inhibition of the STAT3/Fanconi anemia axis is synthetic lethal with PARP inhibitor in breast cancer 24 samples shares stat3
- GSE345765 PDIA6 supports IL6-responsive STAT3 signaling and prolifera-tion in head and neck squamous cell carcinoma 6 samples shares stat3
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.