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NAD⁺ Augmentation by Nicotinamide Riboside Engages SLIT2/ROBO1 Signaling to Attenuate Th17 Inflammation in Psoriasis

GSE314390 Homo sapiens (human) RNA-seq (gene expression) 23 samples Submitted 2026/04/03 Platform GPL21290
At a glance

RNA-seq (gene expression) · human · 23 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
23 samples: 23 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.
Summary (written by the submitters)
BACKGROUND. Enhancing NAD+ level by Nicotinamide Riboside (NR) supplementation confer anti-inflammatory effects in human disease, yet the immunoregulatory mechanisms remain unclear. We previously demonstrated ex vivo study that NR blunts CD4+ T cell immune responsiveness in psoriasis. To explore whether these effects occur in vivo, we conducted a randomized, placebo-controlled NR supplementation study in participants with mild-tomoderate- psoriasis.
Read the full summary ↓
METHODS. Psoriasis participants consumed oral NR supplementation (500 mg twice daily) or matching placebo for 4 weeks. Research bloods were drawn at baseline and at 4 weeks for analysis. In parallel, natural history cohorts of healthy controls and psoriasis participants donated research blood and skin punch biopsies for mechanistic analysis. RESULTS. Oral NR supplementation dampens Th17 immune responsiveness. Bulk RNA-seq of CD4+ cells identified that NR regulated the SLIT-ROBO signaling pathway. Participants on NR showed elevated circulating SLIT2 levels, and NR increased SLIT2 production in skin fibroblasts. Pharmacologic and genetic studies in CD4+ T cells and fibroblasts showed that SLIT2, acting through the ROBO1 receptor, inhibited Rho GTPase signaling, thereby reducing canonical Th17 polarization and fibroblast inflammatory activation. CONCLUSION. NAD+ augmentation confers anti-inflammatory effects in psoriasis through SLIT2/ROBO1-mediated crosstalk between dermal fibroblast and circulating CD4+ T cells, leading to attenuation of Th17-driven inflammation.
This dataset
Open GSE314390 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 GSE314390_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 PRJNA1390800 and SRA study SRP656511. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
23 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 23 sample titles: 23 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
Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.