Description

Lung cancer is the leading cause of cancer related deaths worldwide and immunotherapy has become an important therapeutic intervention. Immunotherapy for lung cancer patients often fails with specific mutations like KEAP1. This study examined the impact of KEAP1 mutations on cancer growth and immune surveillance. They generated an orthotopic transplant model of KrasG12D/+; p53-/- lung cancer with cells expressing either a wild-type or a dominant-negative form of Keap1, which is the most frequently listed mutation of KEAP1. The dataset contains single cell RNA sequencing data. These findings provide new insight into the role of KEAP1 mutations in immune evasion.

Subject of Study
Subject Domain
Keywords

Access

Restrictions
Free to All
Instructions
Single-cell RNA sequencing data have been deposited at Gene Expression Omnibus (GEO).
Access via GEO

RNA-seq data
Accession #: GSE241482

Associated Publications
Data Type
Equipment Used
10× Genomics Chromium
Akoya Biosciences Vectra Polaris
Applied Biosystems StepOnePlus
BD LSRFortessa
Illumina NovaSeq 6000
Leica BOND RX
Leica SCN400F
Zeiss LSM 880
Software Used
Cell Ranger v5.0.0
DESeq2
FastQC
FlowJo
ggplot2
ggpubr
GraphPad Prism v9.0
GSEA
Imaris v9.0.2
inForm v2.4.7
MSigDB
QuPath
RSEM
Seurat v4
STAR
ZEN (black edition)
Grant Support
LF-OC-20-000351/LEO Foundation
Judith & Stewart Colton Center for Autoimmunity/NYU Langone Health
William N. Rom Fellowship/William N. Rom Fellowship
Stony Wold-Herbert Fund/Stony Wold-Herbert Fund
Danish Cancer Society/Danish Cancer Society
RSG-17-200-01-TBE/American Cancer Society
EF Young Investigator Award/Emerald Foundation