Safety and Efficacy of Atuzabrutinib Topical Gel in Patients with Mild-to-Moderate Atopic Dermatitis: Findings from Phase 2a Trial
RNA-seq (gene expression) · human · 39 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
- 39 samples: 39 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
- Atuzabrutinib Topical Gel Does Not Improve Disease Activity in Patients with Mild-to-Moderate Atopic Dermatitis: Findings from a Phase 2A TrialThe Journal of investigative dermatology · 2025
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 GSE289784_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 PRJNA1224777. 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 39 sample titles: 39 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.
- GSM8798525 subj1, Lesional skin1, Day1, SAR444727
- GSM8798526 subj1, Lesional skin2, Day1, PLACEBO
- GSM8798527 subj1, Non-lesional skin, Day1, None
- GSM8798528 subj1, Lesional skin1, Day15, SAR444727
- GSM8798529 subj1, Lesional skin2, Day15, PLACEBO
- GSM8798530 subj2, Lesional skin1, Day1, PLACEBO
- GSM8798531 subj2, Lesional skin2, Day1, SAR444727
- GSM8798532 subj2, Non-lesional skin, Day1, None
- GSM8798533 subj2, Lesional skin1, Day15, PLACEBO
- GSM8798534 subj2, Lesional skin2, Day15, SAR444727
- GSM8798535 subj2, Lesional skin1, Day29, PLACEBO
- GSM8798536 subj2, Lesional skin2, Day29, SAR444727
- GSM8798537 subj3, Lesional skin1, Day1, SAR444727
- GSM8798538 subj3, Lesional skin2, Day1, PLACEBO
- GSM8798539 subj3, Non-lesional skin, Day1, None
- GSM8798540 subj3, Lesional skin1, Day15, SAR444727
- GSM8798541 subj3, Lesional skin2, Day15, PLACEBO
- GSM8798542 subj3, Lesional skin1, Day29, SAR444727
- GSM8798543 subj3, Lesional skin2, Day29, PLACEBO
- GSM8798544 subj4, Lesional skin1, Day1, PLACEBO
- GSM8798545 subj4, Lesional skin2, Day1, SAR444727
- GSM8798546 subj4, Non-lesional skin, Day1, None
- GSM8798547 subj4, Lesional skin1, Day15, PLACEBO
- GSM8798548 subj4, Lesional skin2, Day15, SAR444727
- GSM8798549 subj4, Lesional skin1, Day29, PLACEBO
- GSM8798550 subj4, Lesional skin2, Day29, SAR444727
- GSM8798551 subj5, Lesional skin1, Day1, PLACEBO
- GSM8798552 subj5, Lesional skin2, Day1, SAR444727
- GSM8798553 subj5, Non-lesional skin, Day1, None
- GSM8798554 subj5, Lesional skin2, Day15, SAR444727
- GSM8798555 subj5, Lesional skin1, Day29, PLACEBO
- GSM8798556 subj5, Lesional skin2, Day29, SAR444727
- GSM8798557 subj6, Lesional skin1, Day1, SAR444727
- GSM8798558 subj6, Lesional skin2, Day1, PLACEBO
- GSM8798559 subj6, Non-lesional skin, Day1, None
- GSM8798560 subj6, Lesional skin1, Day15, SAR444727
- GSM8798561 subj6, Lesional skin2, Day15, PLACEBO
- GSM8798562 subj6, Lesional skin1, Day29, SAR444727
- GSM8798563 subj6, Lesional skin2, Day29, PLACEBO
- GSE330551 Th2-primed innate immune amplification defines a distinct atopic dermatitis endotype 174 samples shares dermatitis, atopic
- GSE277961 Tralokinumab treatment of Atopic dermatitis induces a progressive transcriptomic response 154 samples shares dermatitis, atopic
- GSE306437 Unique B and plasma cell signature differentiates hidradenitis suppurativa from psoriasis and atopic dermatitis. 118 samples shares dermatitis, atopic
- GSE328048 Single-cell transcriptome reveals keratinocyte subclusters that contribute to altered differentiation and inflammatory responses in atopic dermatitis 116 samples shares dermatitis, atopic
- GSE232127 Inflammatory signature of atopic dermatitis from tissue and systemic levels 75 samples shares dermatitis, atopic
- GSE298762 NSAIDS-XDR-TB clinical trial: A randomized pilot study to estimate the potential efficacy and safety of using adjunctive ibuprofen for the treatment of pre-XDR and XDR tuberculosis 73 samples shares efficacy, safety
- GSE80688 Safety and Efficacy of the JAK Inhibitor Tofacitinib Citrate for Alopecia Areata and Variants 56 samples shares efficacy, safety
- GSE326320 Integrative transcriptomic, network, and genomic analysis of peripheral blood mononuclear cells identifies candidate gene drivers of dupilumab clinical response in atopic dermatitis patients 36 samples shares dermatitis, atopic
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.