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Glutathione-S-transferase theta 2 (GSTT2) modulates the tumor microenvironment and the response to BCG immunotherapy in a murine orthotopic model of bladder cancer

GSE281932 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2024/12/11 Platform GPL21273
At a glance

Single-cell RNA-seq · mouse · 2 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
2 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
Loss of Glutathione-S-Transferase Theta 2 (GSTT2) Modulates the Tumor Microenvironment and Response to BCG Immunotherapy in a Murine Orthotopic Model of Bladder CancerInternational journal of molecular sciences · 2024
Summary (written by the submitters)
Whilst M. bovis Bacillus Calmette-Guérin (BCG) therapy remains the gold-standard for treatment of high-risk non-muscle invasive bladder cancer (BC), 30-40% of patients fail therapy, resulting in disease recurrence and progression. Loss of glutathione-S-transferase theta 2 (GSTT2) expression has been associated with improved response to fewer instillations of BCG.
Read the full summary ↓
To understand these responses, wild-type (WT) and GSTT2-knockout (KO) mice were implanted orthotopically with MB49-PSA BC cells, and mice were treated with four weekly BCG instillations, after which the bladders were harvested for single-cell RNA sequencing.
Published in
Loss of Glutathione-S-Transferase Theta 2 (GSTT2) Modulates the Tumor Microenvironment and Response to BCG Immunotherapy in a Murine Orthotopic Model of Bladder Cancer
Patwardhan MV, Kane TQ, Chiong E et al. · International journal of molecular sciences 2024 · PMID 39769061 · doi:10.3390/ijms252413296
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 GSE281932_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1186198 and SRA study SRP545300. Searching any of these in the dataset finder brings you back here.

Samples in this study

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