# Time-course RNAseq data of murine AB1 mesothelioma and Renca renal cancer following immune checkpoint therapy

## TL;DR

This study provides RNA sequencing data from mouse cancer models treated with immune checkpoint therapy to understand how the tumor microenvironment changes over time.

## Contribution

The study introduces time-course RNAseq and single-cell data from murine cancer models treated with ICB, capturing transcriptional dynamics before and after therapy.

## Key findings

- Transcriptional changes in the tumor microenvironment were captured across four time points in two cancer models.
- Single-cell RNAseq data revealed the pre-treatment tumor microenvironment at a high resolution.
- Sample dissociation protocols were compared to assess their impact on transcriptional data quality.

## Abstract

Time-critical transcriptional events in the immune microenvironment are important for response to immune checkpoint blockade (ICB), yet these events are difficult to characterise and remain incompletely understood. Here, we present whole tumor RNA sequencing data in the context of treatment with ICB in murine models of AB1 mesothelioma and Renca renal cell cancer. We sequenced 144 bulk RNAseq samples from these two cancer types across 4 time points prior and after treatment with ICB. We also performed single-cell sequencing on 12 samples of AB1 and Renca tumors an hour before ICB administration. Our samples were equally distributed between responders and non-responders to treatment. Additionally, we sequenced AB1-HA mesothelioma tumors treated with two sample dissociation protocols to assess the impact of these protocols on the quality transcriptional information in our samples. These datasets provide time-course information to transcriptionally characterize the ICB response and provide detailed information at the single-cell level of the early tumor microenvironment prior to ICB therapy.