← BioTransfer GEO Dataset Finder
GEO series

OTUD1 downregulates PD-L1 expression by deubiquitinating STAT3 and promotes the immune response in ccRCC

GSE249822 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/12/02 Platform GPL24676
Summary
Renal cell carcinoma (RCC) is a common urinary malignancy. It has the highest mortality rate among urologic malignancies, and its incidence has been increasing in recent years, and its common subtype is renal clear cell carcinoma (ccRCC). Ovarian tumor domain protease 1 (OTUD1) is known as a member of the OTUD deubiquitinase family and has the ability to remove ubiquitin modifications from target proteins. The OTUD family consists of 10 members, including OTUD1, all of which have the function of deubiquitinating target proteins. In this study, we determined the correlation between OTUD1 and the immune pathway through bioinformatics analysis. Subsequently, by mass spectrometry analysis and immunoprecipitation experiments, we demonstrated that OTUD1 can interact with STAT3 and regulate the expression of PD-L1 in kidney cancer cells through STAT3. OTUD1 can also inhibit the activity and nuclear translocation of STAT3 by regulating the K63 ubiquitination modification of STAT3. Finally, we found that OTUD1 can deubiquitinate STAT3 and inhibit its activity and nuclear translocation, thereby regulating the PD-1 signaling pathway, and ultimately promoting the immune response of renal cancer tumors.
Published in
OTUD1 downregulates PD-L1 expression by deubiquitinating STAT3 and promotes the immune response in ccRCC
Liang H, Liu X, Guo W et al. · Cellular oncology (Dordrecht, Netherlands) 2025 · PMID 40506611 · doi:10.1007/s13402-025-01079-0
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE249822_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1050788 and SRA study SRP477202. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

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.