5 results match your criteria: "Southern University of Sciences and Technology Yantian Hospital[Affiliation]"

Ischemic stroke is a cerebrovascular disease that affects the blood vessels and the blood supply to the brain, making it the second leading cause of death worldwide. Studies suggest that immune cells play a dual role during the inflammatory and recovery phases of stroke. However, in-depth investigations of specific cell subtypes and their differentiation trajectories remain to be elucidated.

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Biosynthesis and biodegradation of microorganisms critically underpin the development of biotechnology, new drugs and therapies, and environmental remediation. However, most uncultured microbial species along with their metabolic capacities in extreme environments, remain obscured. Here we unravel the metabolic potential of microbial dark matters (MDMs) in four deep-inland hypersaline lakes in Xinjiang, China.

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Article Synopsis
  • The COVID-19 pandemic has impacted the spread of non-SARS-CoV-2 respiratory viruses, leading to a study that used wastewater surveillance to monitor SARS-CoV-2 and influenza A virus in three major Chinese port cities.
  • Researchers employed a novel machine learning algorithm that combined Gaussian and random forest models to predict the trends of these infections, revealing two waves of SARS-CoV-2 in mid-2023 and two waves of influenza A.
  • Their predictions from October 2023 to April 2024 closely matched observed data, indicating that combining wastewater surveillance with machine learning can significantly enhance public health responses to respiratory viral diseases.
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BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis.

Nat Commun

March 2024

Eco-environment and Resource Efficiency Research Laboratory, School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen, China.

Metagenomic binning is an essential technique for genome-resolved characterization of uncultured microorganisms in various ecosystems but hampered by the low efficiency of binning tools in adequately recovering metagenome-assembled genomes (MAGs). Here, we introduce BASALT (Binning Across a Series of Assemblies Toolkit) for binning and refinement of short- and long-read sequencing data. BASALT employs multiple binners with multiple thresholds to produce initial bins, then utilizes neural networks to identify core sequences to remove redundant bins and refine non-redundant bins.

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Plankton-bacteria interactions may play essential roles in maintaining the persistence of pathogenic Vibrio spp. However, the actual plankton host of the toxigenic Vibrio parahaemolyticus that harbors thermostable direct hemolysin (TDH) and TDH-related hemolysin (TRH) remains unclear. To answer this question, we measured the abundance of toxigenic and nontoxigenic Vibrio parahaemolyticus in different types of plankton by most probable number (MPN)-PCR.

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