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Objectives: To explore the landscape of BRCA1/2 mutations in gastric cancer patients.

Methods: Next-generation sequencing (NGS), Sanger sequencing, reverse transcription quantitative polymerase chain reaction (RT-qPCR), Immunohistochemistry, The Cancer Genome Atlas (TCGA), gnomAD, and DAVID.

Results: With 95% of bases boasting a phred score surpassing 30 and a minimum coverage depth of 500X, our NGS approach ensures high-quality data acquisition.

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The blood-brain barrier (BBB) is a highly selective, semipermeable barrier critical for maintaining brain homeostasis. The BBB regulates the transport of essential nutrients, hormones, and signaling molecules between the bloodstream and the central nervous system (CNS), while simultaneously protecting the brain from potentially harmful substances and pathogens. This selective permeability ensures that the brain is nourished and shielded from toxins.

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Aging-dependent temporal regulation of MIR156 epigenetic silencing by CiLDL1 and CiNF-YB8 in chrysanthemum.

New Phytol

January 2025

Frontiers Science Center for Molecular Design Breeding (MOE), Department of Ornamental Horticulture, College of Horticulture, China Agricultural University, Beijing, 100193, China.

Temporal decline in microRNA miR156 expression is crucial for the transition to, and maintenance of, the adult phase and flowering competence in flowering plants. However, the molecular mechanisms underlying the temporal regulation of miR156 reduction remain largely unknown. Here, we investigated the epigenetic mechanism regulating the temporal silencing of cin-MIR156 in wild chrysanthemum (Chrysanthemum indicum), focusing on the role of the lysine-specific demethylase CiLDL1 and the nuclear factor Y complex.

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Autosomal dominant polycystic kidney disease (ADPKD) represents the most common inherited kidney disorder leading to kidney failure in a significant percentage of patients over time. Although previously considered as an adult disease, robust evidence demonstrated that clinical manifestations might occur during childhood and adolescence. Therefore, early identification and treatment of the disease are of cardinal importance for pediatricians to ensure the best long-term outcomes.

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The health of poultry flock is crucial in sustainable farming. Recent advances in machine learning and speech analysis have opened up opportunities for real-time monitoring of the behavior and health of flock. However, there has been little research on using Tiny Machine Learning (Tiny ML) for continuous vocalization monitoring in poultry.

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