Kaya, Veysel Oğulcan (2020) In silico analysis of coding single-nucleotide polymorphism (SNP)'s in glucocerebrosidase (GBA) gene and their impact on the biological functions of the cell. [Thesis]
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Abstract
Gaucher disease (GD, ORPHA355) is a rare, autosomal recessive genetic disorder. It is caused by an insufficiency of the lysosomal enzyme, glucocerebrosidase (GCase), due to the severity of GBA1 gene’s mutations. Such conditions lead to GD through massive accumulation of GCase substrate, glucosylceramide, in the lysosomes. Accordingly, this research analyzed the most frequent Gaucher Disease-linked single nucleotide polymorphisms (SNPs) on the GBA1 gene by applying various bioinformatics algorithms. We have classified and characterized the L296V mutation in the GD-linked deleterious SNPs spectrum. We also showed an increase in in-vitro enzymatic activity after lysosomal reacidification and evaluated the mutant GCases’ reactions to constant pH experiments. Our results showed that L296V, N370S, L444P, and D409H variants are harmful mutations with different levels of hydrolysis disturbance, tertiary structure unbalance, activation interruption, and transportation of the GCase protein as well as enzymatic efficiency reduction. Yet, we have seen lysosomes’ reacidification by over-expressing hydrogen pumps (V-ATPases), which reverted the decreased stability and increased enzymatic activity. These findings may suggest a research background for the therapeutic applications of Gaucher Disease through lysosomal re-acidification, and can be extended for future studies
Item Type: | Thesis |
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Uncontrolled Keywords: | Gaucher Disease. -- GBA. -- SNP. -- glucocerebrosidase. -- Lysosomal Re-acidification. -- V-ATPases. -- Gaucher Hastalığı. -- Tek Nükleotid Polimorfizmleri. -- V-ATPase. -- Glukoserebrosidaz. |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA164 Bioengineering |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Biological Sciences & Bio Eng. Faculty of Engineering and Natural Sciences |
Depositing User: | IC-Cataloging |
Date Deposited: | 25 Oct 2020 20:59 |
Last Modified: | 26 Apr 2022 10:34 |
URI: | https://research.sabanciuniv.edu/id/eprint/41198 |