The human body contains trillions of cells, classified into specific cell types, with diverse morphologies and functions. In addition, cells of the same type can assume different states within an individual's body during their lifetime. Understanding the complexities of the proteome in the context of a human organism and its many potential states is a necessary requirement to understanding human biology, but these complexities can neither be predicted from the genome, nor have they been systematically measurable with available technologies.
View Article and Find Full Text PDFTo address the health risks posed by microplastics (MPs), this work developed a poly-l-cysteine (poly-L-cys)-based electrochemiluminescence (ECL) sensor for detecting MPs in water environments. The porous structure of poly-L-cys film can regulate the generation of copper nanoclusters (Cu NCs) in the pores, effectively limiting the migration and aggregation of nanopaticles. In addition, poly-L-cys film also acted as co-reactant promoters, promoting electron transfer and effectively enhancing ECL signal of Cu NCs.
View Article and Find Full Text PDFBackground: Type 2 Diabetes (T2D) is a complex condition marked by insulin resistance and beta-cell dysfunction. Traditional dietary interventions, such as low-calorie or low-carbohydrate diets, typically overlook individual variability in postprandial glycemic responses (PPGRs), which can lead to suboptimal management of the disease. Recent advancements suggest that personalized nutrition, tailored to individual metabolic profiles, may enhance the effectiveness of T2D management.
View Article and Find Full Text PDFThe fully analytical polygon-based algorithm is an efficient and precise method for generating holograms. However, the method cannot directly incorporate rendering information. We adopt the framework of the fully analytical polygon-based algorithm and introduce an improved self-similar subdivision model to simplify the computation of pixel normal vectors in the Blinn-Phong lighting model.
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