Herein, we describe the creation of an artificial protein cage housing a dual-metal-tagged guest protein that catalyzes a linear, two-step sequential cascade reaction. The guest protein consists of a fusion protein of HaloTag and monomeric rhizavidin. Inside the protein capsid, we established a ruthenium-catalyzed allylcarbamate deprotection reaction followed by a gold-catalyzed ring-closing hydroamination reaction that led to indoles and phenanthridines with an overall yield of up to 66 % in aqueous solutions. Furthermore, we show that the encapsulation stabilizes the metal catalysts against deactivation by air, proteins and cell lysate.
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http://dx.doi.org/10.1002/anie.202218413 | DOI Listing |
Alzheimers Dement
December 2024
Yale University, New Haven, CT, USA.
Background: The accumulation of misfolded tau proteins, an Alzheimer's disease (AD) hallmark, starts decades before the emergence of cognitive decline and clinical diagnosis. Autopsy studies support a predictable progression of tau pathology through large-scale systems. However, less is known about the specific progression patterns.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.
During development, cells undergo a sequence of specification events to form functional tissues and organs. To investigate complex tissue development, it is crucial to visualize how cell lineages emerge and to be able to manipulate regulatory factors with temporal control. We recently developed TEMPO (Temporal Encoding and Manipulation in a Predefined Order), a genetic tool to label with different colors and genetically manipulate consecutive cell generations in vertebrates.
View Article and Find Full Text PDFLaryngoscope
January 2025
Department of Otorhinolaryngology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Objective: Automatic segmentation and detection of vestibular schwannoma (VS) in MRI by deep learning is an upcoming topic. However, deep learning faces generalization challenges due to tumor variability even though measurements and segmentation of VS are essential for growth monitoring and treatment planning. Therefore, we introduce a novel model combining two Convolutional Neural Network (CNN) models for the detection of VS by deep learning aiming to improve performance of automatic segmentation.
View Article and Find Full Text PDFColloids Surf B Biointerfaces
December 2024
Beijing National Laboratory for Molecular Sciences (BNLMS), CAS Key Lab of Colloid, Interface and Chemical Thermodynamics, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address:
Significant progress has been achieved with diversity of short peptide supramolecular assemblies. However, their programmable phase modulation by single stimulus remains a great challenge. Herein, we demonstrate a dipeptide supramolecular system undergoes sequentially coupled phase transitions upon hydrogen bonding association and dissociation triggered by a single fatty acid.
View Article and Find Full Text PDFBull Math Biol
December 2024
Centre for Data Science, Queensland University of Technology, Brisbane, 4000, Australia.
Quantitative population modelling is an invaluable tool for identifying the cascading effects of conservation on an ecosystem. When population data from monitoring programs is not available, deterministic ecosystem models have often been calibrated using the theoretical assumption that ecosystems have a stable, coexisting equilibrium. However, a growing body of literature suggests these theoretical assumptions are inappropriate for conservation contexts.
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