Back

INPP5D/SHIP1 is a dual regulator of endo-lysosome function and selective phagocytosis in human microglia

Terzioglu, G.; Karp, E. S.; Heuer, S. E.; Haage, V. C.; De Jager, P. L.; Young-Pearse, T. L.

2025-10-27 neuroscience
10.1101/2025.10.27.684632 bioRxiv
Show abstract

INPP5D, the gene encoding SHIP1, is genetically associated with Alzheimers disease (AD) risk and plays a central role in regulating immune function. Here, we aimed to elucidate the mechanism by which SHIP1 mediates its role in suppressing inflammatory pathways, with a focus on human microglia. Our findings illuminate an essential role for SHIP1 in endosome maturation and lysosomal function. We show that SHIP1 localizes to both the plasma membrane and to endo-lysosomal compartments and binds to the CapZ family of proteins, which are important for endosome maturation. Reduction of SHIP1 levels via genome editing impairs endosome maturation and lysosomal function, leading to lipid droplet accumulation and leakage of lysosomal cathepsin B into the cytosol, which in turn activates the NLRP3 inflammasome. CITE-seq profiling of SHIP1-deficient microglia revealed a shift from an immune-responsive state toward a DAM-like, phagocytic state, accompanied by impaired response to LPS and enhanced phagocytosis of synaptic material and apoptotic neurons via TREM2. While amyloid-{beta} uptake was not affected, amyloid-{beta} accumulated intracellularly due to defective lysosomal degradation, further driving lipid droplet formation. Together, these results identify SHIP1 as a regulator of endo-lysosomal function and selective phagocytosis of lipid-rich substrates in microglia. These findings have important implications for therapeutic hypotheses that target SHIP1 for treatment of AD, autoimmune diseases, and cancer.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"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.