Transcriptome and Flow Cytometry data files for "Bioengineering the metabolic network of CAR T-cells with GLP-1 and Urolithin A increases persistence and long-term anti-tumor activity"

This repository contains the following data:

1) RNA_Sequencing_Data zip file: This contains In-House data and Public Dataset_Analysed files. 

a) In-House data- RNA Sequencing Raw (FASTQ) and Processed data files from five different conditions of CAR T cells, designed to explore the impact of various treatments on gene expression. The conditions include: 

·      Vehicle Control (VEH)

·      Semaglutide Treated (SG)

·      Urolithin A Treated (UrA)

·      Combination of Semaglutide and Urolithin A Treated (SG+UrA)

·      GLP-1 Treated (nGLP-1)

The dataset provides raw and processed gene expression data for these various conditions, which could potentially be used in immunotherapy research and therapeutic optimization. 

b) Public Dataset_Analysed files- Transcriptome analysis files for Public dataset with GEO Accession number- GSE168940.

2) FACS Data zip file:

 Raw flow cytometry data collected from various experimental conditions, as presented in the main and supplementary figures.

Included are:

Raw flow cytometry files (FCS format) for reproducibility and reanalysis.

This dataset supports a range of applications, including immunophenotyping and functional analyses.