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0The paper introduces SPARCS, an innovative spatially resolved CRISPR screening platform that overcomes the traditional trade-offs of genetic screening by combining advanced microscopy with automated laser microdissection. This method utilizes deep learning classifiers to identify and isolate specific single-cell phenotypes from vast mutant libraries, achieving high-throughput accuracy for complex biological processes such as autophagosome formation and STING trafficking. Furthermore, the physical recovery of these isolated cells allows for multimodal profiling through techniques like mass spectrometry-based proteomics, ultimately enabling researchers to link genetic perturbations directly to detailed protein-level readouts and cellular pathways.
References:
Schmacke N A, Mädler S C, Wallmann G, et al. SPARCS enables scalable recovery of complex image-based phenotypes for genetic screening[J]. Cell, 2026.
