The inter-cellular prion-like propagation of α-synuclein aggregation is emerging as an important mechanism driving the progression of neurodegenerative diseases including Parkinson’s disease and multiple system atrophy (MSA). To discover therapeutic strategies reducing the spread of α-synuclein aggregation, we performed a genome-wide CRISPR interference screen in a human cell-based model. We discovered that inhibiting PIKfyve dramatically reduced α-synuclein aggregation induced with both recombinant α-synuclein fibrils and fibrils isolated from MSA patient brain. While PIKfyve inhibition did not affect fibril uptake or α-synuclein clearance or secretion, it reduced α-synuclein trafficking from the early endosome to the lysosome, thereby limiting fibril escape from the lysosome and reducing the amount of fibrils that reach cytosolic α-synuclein to induce aggregation. These findings point to the endolysosomal transport of fibrils as a critical step in the propagation of α-synuclein aggregation and a potential therapeutic target.

Inflammatory reactive astrocytes lose homeostatic functions and can be neurotoxic, potentially contributing to neurodegenerative diseases. However, the underlying cell biological mechanisms are not fully understood. Here, we demonstrate that lysosomes are remodeled and alkalinized in inflammatory reactive astrocytes, and that lysosome exocytosis drives astrocyte-mediated neurotoxicity. CRISPRi screens uncover mTOR as a regulator of neurotoxic lysosome exocytosis. These results pinpoint lysosome remodeling and exocytosis in inflammatory reactive astrocytes as a potential therapeutic target.

Recent advances in gene editing are enabling the engineering of cells with an unprecedented level of scale. To capitalize on this opportunity, new methods are needed to accelerate the different steps required to manufacture and handle engineered cells. Here, we describe the development of an integrated software and hardware platform to automate Fluorescence-Activated Cell Sorting (FACS), a central step for the selection of cells displaying desired molecular attributes. Sorting large numbers of samples is laborious, and, to date, no automated system exists to sequentially manage FACS samples, likely owing to the need to tailor sorting conditions ("gating") to each individual sample. Our platform is built around a commercial instrument and integrates the handling and transfer of samples to and from the instrument, autonomous control of the instrument's software, and the algorithmic generation of sorting gates, resulting in walkaway functionality. Automation eliminates operator errors, standardizes gating conditions by eliminating operator-to-operator variations, and reduces hands-on labor by 93%. Moreover, our strategy for automating the operation of a commercial instrument control software in the absence of an Application Program Interface (API) exemplifies a universal solution for other instruments that lack an API. Our software and hardware designs are fully open-source and include step-by-step build documentation to contribute to a growing open ecosystem of tools for high-throughput cell biology.