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Effect of the rhesus theta defensin-1 (RTD-1) on gene expression in human monocytic THP-1 cells. [I]

GSE278567 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/12/09 Platform GPL20301
At a glance

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: 8 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.
Paper
The macrocyclic peptide rhesus theta defensin 1 activates interferon and antiviral pathways in human monocytesJournal of leukocyte biology · 2025
Summary (written by the submitters)
Theta defensins are unique since they are the only cyclic peptides in the animal kingdom. The theta defensin, Rhesus theta defensin (RTD)-1, first isolated from rhesus macaque neutrophils as a broad-spectrum antimicrobial peptide was subsequently found to regulate gene expression and immune signaling pathways in cell culture and animal models of immune mediated diseases.
Read the full summary ↓
To gain insights into RTD-1 regulation, we performed RNA sequencing (RNA-seq) to determine the effect of RTD-1 on global gene expression in THP-1 monocytes. Differential gene expression analysis revealed RTD-1 mediated stimulation of interferon and antiviral gene expression pathways potentially priming cells for resistance to viral infections.
Published in
The macrocyclic peptide rhesus theta defensin 1 activates interferon and antiviral pathways in human monocytes
Tongaonkar P, Trinh KK, Henley JE et al. · Journal of leukocyte biology 2025 · PMID 41139211 · doi:10.1093/jleuko/qiaf150
This dataset
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.

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 GSE278567_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1167792 and SRA study SRP536110. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
THP-1, 20h, vehicle exp ×3 THP-1, 20h, 1 µg/ml RTD-1 exp ×3 THP-1, 20h, 3 µg/ml RTD-1 exp ×3 THP-1, 20h, 10 µg/ml RTD-1 exp ×3 THP-1, 20h, LPS exp ×3 THP-1, 20h, 1 µg/ml RTD-1 LPS exp ×3 THP-1, 20h, 3 µg/ml RTD-1 LPS exp ×3 THP-1, 20h, 10 µg/ml RTD-1 LPS exp ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.

Samples in this study
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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.