← BioTransfer GEO Dataset Finder
GEO series

Tralokinumab treatment of Atopic dermatitis induces a progressive transcriptomic response

GSE277961 Homo sapiens (human) RNA-seq (gene expression) 154 samples Submitted 2024/12/19 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 154 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
154 samples: 154 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
Tralokinumab Treatment of Atopic Dermatitis Induces a Progressive Transcriptomic ResponseThe Journal of investigative dermatology · 2025
Summary (written by the submitters)
Atopic dermatitis (AD) is characterized by a complex epidermal barrier deficiency and exaggerated immune responses dominated by type-2-mechanisms with variable contributions of additional immune axes. Interleukin (IL)-13 is overexpressed in AD skin and a key driver of both barrier dysfunction and inflammation. We here prospectively studied the effects of IL-13 inhibition with tralokinumab on cutaneous transcriptome profiles using RNA sequencing of biopsies from 16 moderate-to-severe AD patients obtained at baseline, week 2 and week 16.
Read the full summary ↓
Tralokinumab therapy induced early and delayed expression changes, and progressively shifted the transcriptomic profile of lesional towards non-lesional skin by modulating both genes associated with keratinocyte proliferation and differentiation, itch signaling, and downstream inflammatory responses. At week 16, 751 genes were still significantly dysregulated as compared to healthy control skin, reinforcing the need for long-term immunomodulatory therapy of moderate to severe AD to achieve deep responses. The study was registered with ClinicalTrials.gov (NCT04556461)
Published in
Tralokinumab Treatment of Atopic Dermatitis Induces a Progressive Transcriptomic Response
Tandon R, Harder I, Stölzl D et al. · The Journal of investigative dermatology 2025 · PMID 39733934 · doi:10.1016/j.jid.2024.12.005
This dataset
Open GSE277961 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE277961_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1164808 and SRA study SRP534539. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39733934) ↗
Study design
154 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 154 sample titles: 154 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.

Samples in this study

+ 114 more — browse all 154 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.