CRISPR/Cas9 Editing for Gaucher Disease Modelling

Gaucher disease (GD) is an autosomal recessive lysosomal storage disorder caused by mutations in the acid β-glucosidase gene (<i>GBA1</i>). Besides causing GD, <i>GBA1</i> mutations constitute the main genetic risk factor for developing Parkinson’s disease. The molecular basi...

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Bibliographic Details
Main Authors: Eleonora Pavan, Maximiliano Ormazabal, Paolo Peruzzo, Emilio Vaena, Paula Rozenfeld, Andrea Dardis
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/21/9/3268
Description
Summary:Gaucher disease (GD) is an autosomal recessive lysosomal storage disorder caused by mutations in the acid β-glucosidase gene (<i>GBA1</i>). Besides causing GD, <i>GBA1</i> mutations constitute the main genetic risk factor for developing Parkinson’s disease. The molecular basis of neurological manifestations in GD remain elusive. However, neuroinflammation has been proposed as a key player in this process. We exploited CRISPR/Cas9 technology to edit <i>GBA1</i> in the human monocytic THP-1 cell line to develop an isogenic GD model of monocytes and in glioblastoma U87 cell lines to generate an isogenic GD model of glial cells. Both edited (<i>GBA1</i> mutant) cell lines presented low levels of mutant acid β-glucosidase expression, less than 1% of residual activity and massive accumulation of substrate. Moreover, U87 <i>GBA1</i> mutant cells showed that the mutant enzyme was retained in the ER and subjected to proteasomal degradation, triggering unfolded protein response (UPR). U87 <i>GBA1</i> mutant cells displayed an increased production of interleukin-1β, both with and without inflammosome activation, α-syn accumulation and a higher rate of cell death in comparison with wild-type cells. In conclusion, we developed reliable, isogenic, and easy-to-handle cellular models of GD obtained from commercially accessible cells to be employed in GD pathophysiology studies and high-throughput drug screenings.
ISSN:1661-6596
1422-0067