scRNA-seq data from: DJ-1 inhibition reshapes tumor microenvironment and potentiates immune checkpoint inhibitors
Data files
Mar 06, 2026 version files 251.44 GB
-
KO-antibody-T_R1.fq.gz
3.46 GB
-
KO-antibody-T_R2.fq.gz
4.88 GB
-
KO1_R1.fq.gz
29.20 GB
-
KO1_R2.fq.gz
30.60 GB
-
KO2_R1.fq.gz
27.69 GB
-
KO2_R2.fq.gz
28.28 GB
-
README.md
1.66 KB
-
WT-antibody-T_R1.fq.gz
2.55 GB
-
WT-antibody-T_R2.fq.gz
3.75 GB
-
WT1_R1.fq.gz
28.71 GB
-
WT1_R2.fq.gz
29.51 GB
-
WT2_R1.fq.gz
31.28 GB
-
WT2_R2.fq.gz
31.53 GB
Abstract
This dataset contains raw single-cell RNA sequencing data generated from tumor-infiltrating CD45⁺ immune cells in murine cancer models to investigate the role of DJ-1 (PARK7) in modulating anti-tumor immunity. In the associated study, genetic ablation of DJ-1 enhanced the efficacy of immune checkpoint blockade by indirectly activating T cells through macrophage reprogramming. Loss of DJ-1 increased reactive oxygen species (ROS) levels in macrophages and promoting differentiation into Cxcl9⁺ immune-stimulatory phenotypes while reducing Spp1⁺ immune-suppressive subsets.
Here, we deposited additional raw sequencing reads in FASTQ format from sorted CD45⁺ cells (DJ-1 knockout and wild-type conditions). A detailed description of experimental procedures and analysis workflows can be found in the associated publication.
Dataset DOI: 10.5061/dryad.1zcrjdg6c
Description of the data and file structure
This dataset supplements the manuscript titled “DJ-1 Inhibition Reshapes Tumor Microenvironment and Potentiates Immune Checkpoint Inhibitors”. We performed single‑cell RNA sequencing of tumor‑infiltrating CD45⁺ immune cells to characterize transcriptional changes in T cell and myeloid populations following DJ‑1 knockout. All raw sequencing reads are deposited in FASTQ format. The KO-antibody-T.fq.gz and WT-antibody-T.fq.gz datasets correspond to the T cell–related TRC analyses in Figure 3, whereas the KO1.fq.gz, KO2.fq.gz, WT1.fq.gz, and WT2.fq.gz datasets correspond to the myeloid cell analyses in Figures 4 and 5. Detailed experimental and analytical methods are provided in the associated manuscript.
Files and variables
These are the raw reads of the mice dataset (Dryad):
- KO-antibody-T_R1.fq.gz
- KO-antibody-T_R2.fq.gz
- WT-antibody-T_R1.fq.gz
- WT-antibody-T_R2.fq.gz
- KO1_R1.fq.gz
- KO1_R2.fq.gz
- KO2_R1.fq.gz
- KO2_R2.fq.gz
- WT1_R1.fq.gz
- WT1_R2.fq.gz
- WT2_R1.fq.gz
- WT2_R2.fq.gz
Code/software
The construction of the second-generation sequencing library for gene expression analysis was performed by Singleron Biotech. The raw barcode, feature, and matrix files was performed R (v4.2.1) and processed with Seurat (v4.3.0), such as DESeq2, ggplot2, pheatmap, clusterProfiler and Seurat. No custom software was generated for the purpose of this research.