bioRxivCell BiologyPreprint
Parallel CRISPR-Cas9 screens reveal mechanisms of PLIN2 and lipid droplet regulation
M. A. Roberts, K. K. Deol, M. Lange, D. E. Leto, A. J. Mathiowetz, J. Stevenson, S. H. Hashemi, D. W. Morgens, E. Easter, K. Heydari, M. A. Nalls, M. C. Bassik, M. Kampmann, R. R. Kopito, F. Faghri, J. A. Olzmann
Abstract
Lipid droplets (LDs) are lipid storage organelles that consist of a central core of neutral lipids surrounded by a phospholipid monolayer decorated with a unique set of integral and peripheral proteins. Invariably, at least one member of the perilipin family of proteins (PLIN1-5) associates with LDs in all cell types. Despite key roles of PLIN2 in governing hepatic lipid metabolism, the mechanisms that regulate PLIN2 levels remain incompletely understood. Here, we develop a set of genome-edited PLIN2 reporter cell lines that facilitate the analysis of genes that regulate PLIN2 and LD abundance. Leveraging these reporter cells in a series of CRISPR-Cas9 loss-of-function screens, we generate a comprehensive inventory of genes that influence PLIN2 levels under different metabolic conditions. Moreover, we uncouple their effects on PLIN2 expression and post-translational stability. Identified genetic modifiers include canonical genes that control LD metabolism (e.g., ACSL3, DGAT2, PNPLA2, ABHD5) as well as genes with less characterized roles in PLIN2 and LD regulation such as ubiquitination machinery (e.g., MARCH6, UBE2J2), transcription regulators (e.g., HNF4A, HDAC3), mitochondrial pathways (e.g., electron transport chain and mitochondrial fatty acid synthesis), and others. These CRISPR screens, and several published screens that focus on different aspects of lipid metabolism, provide the foundation for CRISPRlipid (http://crisprlipid.org), a versatile, online data commons for lipid-related functional genomics data. Together, our study uncovers new mechanisms of PLIN2 regulation and provides an extensive, phenotype-rich resource for the exploration of LD biology and lipid metabolism.
- organism: human
- research focus: gene regulatory network inference
- research focus: database / resource
- approach: genetic perturbation / CRISPR
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