bioRxiv Science⌕ Search

Biology subjects

Catalfano, K.

Publications and source records attributed to Catalfano, K..

2 recordsLinked to original sources

AHA1 regulates Aβ production via modulation of APP expression and γ-secretase assembly

Deposition of amyloid {beta}-protein (A{beta}) is a hallmark of Alzheimers disease (AD), produced by {gamma}-secretase-mediated cleavage of amyloid precursor protein (APP). The 90-kDa heat shock protein (Hsp90) co-chaperone, activator of Hsp90 ATPase homolog 1 (AHA1), is known to promote the accumulation of toxic tau species; however, its effects on A{beta} production remain unclear. Here, we show that knockdown of endogenous AHA1 decreases A{beta} generation and reduces APP and {gamma}-secretase components, whereas AHA1 overexpression elevates A{beta} production and the expression of these proteins. The AHA1-E67K mutant, which has impaired Hsp90 binding, lowers A{beta} production and the levels of APP and {gamma}-secretase components compared with wild-type AHA1. AHA1 associates with APP and immature {gamma}-secretase components, including anterior pharynx-defective phenotype 1 (APH1), indicating its role in APP proteolysis and A{beta} production. Disruption of the AHA1/Hsp90 complex--through AHA1 knockdown, the E67K mutant, or a small-molecule inhibitor--reduces {gamma}-secretase assembly. Familial AD mutations in APP-C99 and presenilin-1 (PS1) increase AHA1, Hsp90, APP, and APH1 expression, enhancing A{beta} production. Importantly, AHA1 knockdown decreases abnormal A{beta} generation and C99, PS1-CTF, and APH1 levels in mutant APP cells, while AHA1 overexpression enhances A{beta} production in PS1 mutant cells. Collectively, these findings reveal that AHA1 regulates A{beta} production by modulating APP expression and {gamma}-secretase assembly, establishing AHA1 as a potential target for therapeutic intervention in AD.

neuroscience↗

Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first six months of the COVID-19 pandemic

Three-dimensional structures of SARS-CoV-2 and other coronaviral proteins archived in the Protein Data Bank were used to analyze viral proteome evolution during the first six months of the COVID-19 pandemic. Analyses of spatial locations, chemical properties, and structural and energetic impacts of the observed amino acid changes in >48,000 viral proteome sequences showed how each one of the 29 viral study proteins have undergone amino acid changes. Structural models computed for every unique sequence variant revealed that most substitutions map to protein surfaces and boundary layers with a minority affecting hydrophobic cores. Conservative changes were observed more frequently in cores versus boundary layers/surfaces. Active sites and protein-protein interfaces showed modest numbers of substitutions. Energetics calculations showed that the impact of substitutions on the thermodynamic stability of the proteome follows a universal bi-Gaussian distribution. Detailed results are presented for six drug discovery targets and four structural proteins comprising the virion, highlighting substitutions with the potential to impact protein structure, enzyme activity, and functional interfaces. Characterizing the evolution of the virus in three dimensions provides testable insights into viral protein function and should aid in structure-based drug discovery efforts as well as the prospective identification of amino acid substitutions with potential for drug resistance.

molecular biology↗