| Literature DB >> 30808805 |
Raquel Romero1, Arvind Ramanathan2, Tony Yuen3,4, Debsindhu Bhowmik2, Mehr Mathew4, Lubna Bashir Munshi4, Seher Javaid4, Madison Bloch4, Daria Lizneva3,4, Alina Rahimova3,4, Ayesha Khan4, Charit Taneja3,4, Se-Min Kim3,4, Li Sun3,4, Maria I New5, Shozeb Haider6, Mone Zaidi7,4.
Abstract
The lysosomal enzyme glucocerebrosidase-1 (GCase) catalyzes the cleavage of a major glycolipid glucosylceramide into glucose and ceramide. The absence of fully functional GCase leads to the accumulation of its lipid substrates in lysosomes, causing Gaucher disease, an autosomal recessive disorder that displays profound genotype-phenotype nonconcordance. More than 250 disease-causing mutations in GBA1, the gene encoding GCase, have been discovered, although only one of these, N370S, causes 70% of disease. Here, we have used a knowledge-based docking protocol that considers experimental data of protein-protein binding to generate a complex between GCase and its known facilitator protein saposin C (SAPC). Multiscale molecular-dynamics simulations were used to study lipid self-assembly, membrane insertion, and the dynamics of the interactions between different components of the complex. Deep learning was applied to propose a model that explains the mechanism of GCase activation, which requires SAPC. Notably, we find that conformational changes in the loops at the entrance of the substrate-binding site are stabilized by direct interactions with SAPC and that the loss of such interactions induced by N370S and another common mutation, L444P, result in destabilization of the complex and reduced GCase activation. Our findings provide an atomistic-level explanation for GCase activation and the precise mechanism through which N370S and L444P cause Gaucher disease.Entities:
Keywords: gene mutations; lysosomal storage disease; multiscale simulations; rare disease
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Year: 2019 PMID: 30808805 PMCID: PMC6421449 DOI: 10.1073/pnas.1818411116
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205