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Androgen Receptor-Driven RASSF3 Upregulation Promotes CKD Progression by Inhibiting Gαs/Gq Activity to Mediate Metabolic Reprogramming [DT]

GSE336445 Homo sapiens (human) RNA-seq (gene expression) 8 samples Submitted 2026/07/02 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 8 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
8 samples: 5 × DHT/TGFB vs 3 × NCGroups 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)
Male sex is a risk factor for Chronic Kidney Disease (CKD), but the underlying mechanism is not yet clear. Given the well-established central role of TGF-β in CKD, we hypothesize it reprograms AR’s transcriptional network, shifting AR’s kidney function from healthy to pathogenic. Transcriptomic profiling identified RASSF3 as a critical downstream target of DHT and TGF-β1, upregulated in kidneys from male CKD patients and mice but not females.
Read the full summary ↓
Tubule-specific Rassf3 knockout in mice prolonged survival and protected against CKD models, whereas its overexpression exerted opposite effects. Mechanistically, RASSF3 binds Gα subunits Gq and Gαs, accelerating their GTP-to-GDP transition (active to inactive) to suppress their activity—an interaction that drives kidney tubule metabolic reprogramming and exacerbates kidney injury and CKD progression. GTPase-deficient Gq/Gαs mutants or Gq/Gαs knockout abolished RASSF3-mediated metabolic reprogramming, confirming dependence on Gq/Gαs GTPase activity. AR transcriptionally upregulates RASSF3 via interaction with SP1 (a TGF-β downstream target). Importantly, δ-tocopherol binds RASSF3’s Ras-associating domain, inhibiting its activity and alleviating CKD. Our study uncovers the molecular basis of AR-driven CKD sexual dimorphism, elucidates mechanisms linking AR to kidney metabolic dysregulation, and identifies RASSF3 as a novel CKD therapeutic target.
This dataset
Open GSE336445 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 GSE336445_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 PRJNA1481637 and SRA study SRP712287. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × DHT/TGFB vs 3 × NC

Supports a between-group comparison across 8 samples.

How we read this: 2 replicated groups read from 8 sample titles; they account for 8 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
Datasets on a similar topic

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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.