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Ubiquitin-activating enzyme mediates immune escape via suppressing interferon signaling [bulk RNA-seq]

GSE253810 Mus musculus (mouse) RNA-seq (gene expression) 51 samples Submitted 2024/10/06 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 51 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
Mus musculus (mouse)
Samples
51 samples
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 UBA1-STUB1 Axis Mediates Cancer Immune Escape and Resistance to Checkpoint BlockadeCancer discovery · 2025
Summary (written by the submitters)
How cancer cells escape immune surveillance and resist immunotherapies remain to be elucidated. By screening candidate genes frequently amplified in cancer, we identified expression of ubiquitin-activating enzyme (UBA1) as being the most negatively correlated with signatures related to effector CD8+T cells. High expression of UBA1was strongly predictive of resistance to immune checkpoint blockade (ICB) and poor survival in ICB cohorts.
Read the full summary ↓
In immunocompetent syngeneic models, but not in immunodeficient models, we found that overexpression ofUba1in cancer cells promoted tumor growth and reduced functional, intratumoral CD8+T cells. Conversely, depletion ofUba1impaired tumor progression, accompanied with increase of functional, intratumoral CD8+T cells. CD8+T cell depletion rescued tumor growth impairment mediated byUba1depletion. Additionally, a selective, small molecule inhibitor of UBA1, TAK-243, delayed tumor growth and augmented ICB in various syngeneic models, in a manner dependent on CD8+T cells. Intratumoral administration of TAK-243 and tumor rechallenge experiments revealed that TAK-243 treatment exhibited a remarkable abscopal effect and provided prolonged protection against cancer, accompanied with elevation of memory CD8+ T cells. Mechanistically, depletion or inactivation of UBA1 stabilized the short-lived interferon (IFN) pathway component, JAK1, upregulated both type-I and -II IFN signaling pathways, and resulted in elevation of key immune modulators, including CXCL9, CXCL10, and MHC-I. Taken together, our data supports that UBA1 mediates cancer immune escape via suppressing interferon signaling and suggests that targeting UBA1 may activate systemic cancer immunity.
Published in
The UBA1-STUB1 Axis Mediates Cancer Immune Escape and Resistance to Checkpoint Blockade
Bao Y, Cruz G, Zhang Y et al. · Cancer discovery 2025 · PMID 39540840 · doi:10.1158/2159-8290.CD-24-0435
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 GSE253810_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 PRJNA1067159 and SRA study SRP484969. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 51 more — browse all 51 samples with per-sample file links →

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