(Apo)ferritins are cage-shaped proteins which have recently received a great deal of attention because the inner cavity of the protein shell can be used as a size-restricted reaction field for the synthesis of nanomaterials. The biomineralization behavior and inorganic nanoparticle (NP) synthesis mechanism of (apo)ferritin in solution systems have been studied but the mineralization behavior of (apo)ferritin on the substrates has not yet been well studied. Here, we conducted quantitative and kinetic analyses of the mineralization behavior of immobilized (apo)ferritin on a polyelectrolyte multilayer (PEM) using quartz crystal microbalance (QCM), scanning electron microscopy (SEM), and X-ray photoelectron spectroscopy (XPS) techniques. We demonstrated that the (apo)ferritin immobilized on a substrate synthesizes a ferrihydrite core within the confines of the protein cage; similar to a solution dispersed system. In addition, we applied a ferritin/apoferritin blended monolayer to the study of iron mineralization and revealed that biomineralization in this system is spatially selective. It is important to understand the mineralization mechanisms for the synthesis of other functional NPs as this approach has potential for a broad range of magnetic, catalytic, and biomedical sensing applications.
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http://dx.doi.org/10.1166/jnn.2014.8575 | DOI Listing |
Anal Chem
January 2025
School of Basic Medical Sciences, Guangzhou Νational Laboratory, Guangzhou Medical University, Guangzhou 511436, China.
The farnesoid X receptor (FXR) regulates key physiological processes, such as bile acid homeostasis and lipid metabolism, making it an important target for drug discovery. However, the overactivation of FXR often leads to adverse effects. This study presents the development of a novel fluorescent probe utilizing the computer-aided drug design (CADD) approach to optimize linkers between more potent warhead and FITC fluorescent groups.
View Article and Find Full Text PDFPathologie (Heidelb)
January 2025
Institut für Pathologie, Fachbereich Thorax- und Molekularpathologie, Universitätsmedizin Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Deutschland.
Background: Pathology, traditionally focused on classification and diagnosis, is continuously evolving through new technologies. Advances in proteomics, epigenetics, tissue staining, and 3D imaging expand the possibilities of classical morphology.
Aim Of The Study: The aim of this study was to investigate how modern technologies can improve diagnostic accuracy and therapy selection and how they can be integrated into pathologic routine diagnostics.
Objective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.
Methods: The research institute utilized two public datasets of meningioma and glioma magnetic resonance imaging from Kaggle. Dataset 1 contains a total of 3,223 images, and Dataset 2 contains 216 images.
Heliyon
January 2025
Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
The anterior cingulate cortex is responsible for multiple cognitive functions like fear, pain management, decision-making, risk and reward assessment, and memory consolidation. However, its cell-type-specific functions are not clearly understood. To reveal the selective functional role of Parvalbumin-expressing GABAergic interneurons in the ACC, we knocked down (KD) the PV gene in-vivo in rats.
View Article and Find Full Text PDFEffective conservation of rare species necessitates the identification of critical habitats and their specific features that influence species occurrence. This study focused on smalltooth sawfish (), a critically endangered elasmobranch, to explore how predictive spatial modeling can enhance conservation efforts. By leveraging long-term occurrence and relative abundance data from scientific gillnet surveys, along with in situ environmental data, we used boosted regression trees (BRT) to pinpoint key habitat features essential for juvenile sawfish.
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