Divergent consequences of PSEN1 knockout and PSEN2 knockout in stem cell derived models of the brain

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

γ-secretase is a multi-subunit enzyme complex responsible for cleaving hundreds of substrates in diverse cellular contexts. Variation in subunit composition - including the use of alternate catalytic subunits Presenilin 1 (PSEN1) and Presenilin 2 (PSEN2) - results in diverse γ-secretase complexes. Point mutations in PSEN1 and PSEN2 cause familial forms of Alzheimer’s disease, while loss-of-function mutations in the γ-secretase subunits PSEN1, PSENEN and NCSTN cause acne inversa. To advance therapeutic strategies targeting γ-secretase in Alzheimer’s disease, a better understanding of individual γ-secretase complexes is required.

In this study, we used CRISPR-Cas9 genome engineering to generate PSEN2-knockout iPSCs in order to compare the consequence of PSEN2 knockout versus PSEN1 knockout in iPSC-derived brain cells. In contrast to PSEN1-knockout, PSEN2-knockout did not alter APP cleavage or Aβ generation in iPSC-neurons, nor did it disrupt Nicastrin maturation. Similarly, PSEN2-knockout had little impact on TREM2 processing in iPSC-microglia. Instead, our data indicate that loss of PSEN2 primarily impacts the endo-lysosomal system in iPSC-neurons, causing an accumulation of early endosome markers and a reduction in lysosomal markers – phenotypes not observed in PSEN1-knockout neurons.

Taken together, these findings highlight distinct and non-redundant functions of PSEN1 and PSEN2 in human brain cells, reinforcing findings in animal models and subcellular localisation studies. This work advances our understanding of distinct γ-secretase complex functions and provides insights that will support future therapeutic efforts to inhibit, modulate or stabilise γ-secretase.

Article activity feed