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Unveiling triclosan biodegradation: Novel metabolic pathways, genomic insights, and global environmental adaptability of Pseudomonas sp. strain W03.
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Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Marine Science, Sun Yat-sen University, Zhuhai 519080, China. Electronic address:
The polychlorinated aromatic antimicrobial agent triclosan (TCS) is widely used to indiscriminately and rapidly kill microorganisms. The global use of TCS has led to widespread environmental contamination, posing significant threats to ecosystem and human health. Here we reported a newly isolated Pseudomonas sp.
View Article and Find Full Text PDFClassification and Monitoring of Salt Marsh Vegetation in the Yellow River Delta Based on Multi-Source Remote Sensing Data Fusion.
Sensors (Basel)
January 2025
School of Oceanography and Spatial Information, China University of Petroleum East China-Qingdao Campus, Qingdao 266580, China.
Salt marsh vegetation in the Yellow River Delta, including (), (), and (), is essential for the stability of wetland ecosystems. In recent years, salt marsh vegetation has experienced severe degradation, which is primarily due to invasive species and human activities. Therefore, the accurate monitoring of the spatial distribution of these vegetation types is critical for the ecological protection and restoration of the Yellow River Delta.
View Article and Find Full Text PDFMetabolic dependency mapping identifies Peroxiredoxin 1 as a driver of resistance to ATM inhibition.
Redox Biol
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Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute/National Institutes of Health, 37 Convent Drive, Bethesda, MD, 20892, USA. Electronic address:
Metabolic pathways fuel tumor progression and resistance to stress conditions including chemotherapeutic drugs, such as DNA damage response (DDR) inhibitors. Yet, significant gaps persist in how metabolic pathways confer resistance to DDR inhibition in cancer cells. Here, we employed a metabolism-focused CRISPR knockout screen and identified genetic vulnerabilities to DDR inhibitors.
View Article and Find Full Text PDFRadar versus optical: The impact of cloud cover when mapping seasonal surface water for health applications in monsoon-affected India.
PLoS One
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UK Centre for Ecology and Hydrology, Crowmarsh Gifford, Wallingford, United Kingdom.
Surface water plays a vital role in the spread of infectious diseases. Information on the spatial and temporal dynamics of surface water availability is thus critical to understanding, monitoring and forecasting disease outbreaks. Before the launch of Sentinel-1 Synthetic Aperture Radar (SAR) missions, surface water availability has been captured at various spatial scales through approaches based on optical remote sensing data.
View Article and Find Full Text PDFHDNLS: Hybrid Deep-Learning and Non-Linear Least Squares-Based Method for Fast Multi-Component T1ρ Mapping in the Knee Joint.
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December 2024
Center of Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY 10016, USA.
Non-linear least squares (NLS) methods are commonly used for quantitative magnetic resonance imaging (MRI), especially for multi-exponential T1ρ mapping, which provides precise parameter estimation for different relaxation models in tissues, such as mono-exponential (ME), bi-exponential (BE), and stretched-exponential (SE) models. However, NLS may suffer from problems like sensitivity to initial guesses, slow convergence speed, and high computational cost. While deep learning (DL)-based T1ρ fitting methods offer faster alternatives, they often face challenges such as noise sensitivity and reliance on NLS-generated reference data for training.
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