Perturbomics of tumor-infiltrating NK cells
Peng, L.; Renauer, P. A.; Ye, L.; Yang, L.; Park, J. J.; Chow, R. D.; Zhang, Y.; Lin, Q.; Bai, M.; Sanchez, A.; Zhang, Y.; Lam, S. Z.; Chen, S.
Show abstract
Natural killer (NK) cells are an innate immune cell type that serves at the first level of defense against pathogens and cancer. NK cells have clinical potential, however, multiple current limitations exist that naturally hinder the successful implementation of NK cell therapy against cancer, including their effector function, persistence, and tumor infiltration. To unbiasedly reveal the functional genetic landscape underlying critical NK cell characteristics against cancer, we perform perturbomics mapping of tumor infiltrating NK cells by joint in vivo AAV-CRISPR screens and single cell sequencing. We establish a strategy with AAV-SleepingBeauty(SB)- CRISPR screening leveraging a custom high-density sgRNA library targeting cell surface genes, and perform four independent in vivo tumor infiltration screens in mouse models of melanoma, breast cancer, pancreatic cancer, and glioblastoma. In parallel, we characterize single-cell transcriptomic landscapes of tumor-infiltrating NK cells, which identifies previously unexplored sub-populations of NK cells with distinct expression profiles, a shift from immature to mature NK (mNK) cells in the tumor microenvironment (TME), and decreased expression of mature marker genes in mNK cells. CALHM2, a calcium homeostasis modulator that emerges from both screen and single cell analyses, shows both in vitro and in vivo efficacy enhancement when perturbed in chimeric antigen receptor (CAR)-NK cells. Differential gene expression analysis reveals that CALHM2 knockout reshapes cytokine production, cell adhesion, and signaling pathways in CAR- NKs. These data directly and systematically map out endogenous factors that naturally limit NK cell function in the TME to offer a broad range of cellular genetic checkpoints as candidates for future engineering to enhance NK cell-based immunotherapies.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- LAG-3 blockade reactivates the CD8+ T cell expansion program to re-expand contracted clones in the tumor 98%
- Genome-scale spatial mapping of the Hodgkin lymphoma microenvironment identifies tumor cell survival factors 97%
- In vivo CRISPR screens reveal Serpinb9 and Adam2 as regulators of immune therapy response in lung cancer 97%
Similar papers in this journal
- Spatial analysis of human lung cancer reveals organized immune hubs enriched for stem-like CD8 T cells and associated with immunotherapy response 97%
- Loss of the intracellular enzyme QPCTL limits chemokine function and reshapes myeloid infiltration to augment tumor immunity 97%
- SARS-CoV-2 antigen exposure history shapes phenotypes and specificity of memory CD8 T cells 97%
Similar papers in this journal
Similar papers in this journal
- Systematic identification of cancer cell vulnerabilities to natural killer cell-mediated immune surveillance 97%
- MicroRNA-eQTLs in the developing human neocortex link miR-4707-3p expression to brain size 97%
- Chromatin conformation dynamics during CD4+ T cell activation implicates autoimmune disease-associated genes and regulatory elements 97%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.