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Proc Natl Acad Sci U S A
February 2025
Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1L7, Canada.
ClpXP is a two-component mitochondrial matrix protease. The caseinolytic mitochondrial matrix peptidase chaperone subunit X (ClpX) recognizes and translocates protein substrates into the degradation chamber of the caseinolytic protease P (ClpP) for proteolysis. ClpXP degrades damaged respiratory chain proteins and is necessary for cancer cell survival.
View Article and Find Full Text PDFAlzheimers Dement (N Y)
December 2024
Eli Lilly and Company Indianapolis Indiana USA.
Introduction: The aggregation and spread of hyperphosphorylated, pathological tau in the human brain is hypothesized to play a key role in Alzheimer's disease (AD) as well as other neurogenerative tauopathies. O-GlcNAcylation, an important post-translational modification of tau and many other proteins, is significantly decreased in brain tissue of AD patients relative to healthy controls. Increased tau O-GlcNAcylation has been shown to reduce tau pathology in mouse in vivo tauopathy models.
View Article and Find Full Text PDFJ Dent Res
December 2024
Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Front Immunol
December 2024
Laboratory of Microbiology and Virology, Vita-Salute San Raffaele University, Milan, Italy.
Introduction: The ongoing emergence of SARS-CoV-2 variants poses significant challenges to existing therapeutics. The spike (S) glycoprotein is central to both viral entry and cell-to-cell transmission via syncytia formation, a process that confers resistance to neutralizing antibodies. The mechanisms underlying this resistance, particularly in relation to spike-mediated fusion, remain poorly understood.
View Article and Find Full Text PDFSci Rep
November 2024
Department of Radiation Oncology, Hospital Sírio-Libanês, São Paulo, Brazil.
Glioblastoma is an aggressive brain cancer with a poor prognosis. The O6-methylguanine-DNA methyltransferase (MGMT) gene methylation status is crucial for treatment stratification, yet economic constraints often limit access. This study aims to develop an artificial intelligence (AI) framework for predicting MGMT methylation.
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