ArticleCell systems2024
Classification and functional characterization of regulators of intracellular STING trafficking identified by genome-wide optical pooled screening.
Article in Cell systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Microglial mitophagy as an immunometabolic checkpoint in alzheimer's disease: linking mitochondrial quality control to neuroinflammation.Journal of neuroinflammation · 2026Review
- Antioxidant Activity and Metabolomic Characterization ofMicroorganisms · 2026Article
- The significance of urine extracellular vesicle DNA methylation detection in the diagnosis and classification of prostate cancer.Journal of advanced research · 2026Article
- A community machine learning challenge to predict the effects of gene perturbations on T cell differentiation for cancer immunotherapy.bioRxiv : the preprint server for biology · 2026Article
- Single-cell image-based screens identify host regulators of Ebola virus infection dynamics.Nature microbiology · 2025Article
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Abstract
Stimulator of interferon genes (STING) traffics across intracellular compartments to trigger innate responses. Mutations in factors regulating this process lead to inflammatory disorders. To systematically identify factors involved in STING trafficking, we performed a genome-wide optical pooled screen (OPS). Based on the subcellular localization of STING in 45 million cells, we defined 464 clusters of gene perturbations based on their cellular phenotypes. A secondary, higher-dimensional OPS identified 73 finer clusters. We show that the loss of the gene of unknown function C19orf25, which clustered with USE1, a protein involved in Golgi-to-endoplasmic reticulum (ER) transport, enhances STING signaling. Additionally, HOPS deficiency delayed STING degradation and consequently increased signaling. Similarly, GARP/RIC1-RGP1 loss increased STING signaling by delaying STING Golgi exit. Our findings demonstrate that genome-wide genotype-phenotype maps based on high-content cell imaging outperform other screening approaches and provide a community resource for mining factors that impact STING trafficking and other cellular processes.
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