The mechanisms by which proteins are targeted to the membrane of eukaryotic flagella and cilia are largely uncharacterized. We have identified a new family of small myristoylated proteins (SMPs) that are present in Leishmania spp and related trypanosomatid parasites. One of these proteins, termed SMP-1, is targeted to the Leishmania flagellum. SMP-1 is myristoylated and palmitoylated in vivo, and mutation of Gly-2 and Cys-3 residues showed that both fatty acids are required for flagellar localization. SMP-1 is associated with detergent-resistant membranes based on its recovery in the buoyant fraction after Triton X-100 extraction and sucrose density centrifugation and coextraction with the major surface glycolipids in Triton X-114. However, the flagellar localization of SMP-1 was not affected when sterol biosynthesis and the properties of detergent-resistant membranes were perturbed with ketoconazole. Remarkably, treatment of Leishmania with ketoconazole and myriocin (an inhibitor of sphingolipid biosynthesis) also had no affect on SMP-1 localization, despite causing the massive distension of the flagellum membrane and the partial or complete loss of internal axoneme and paraflagellar rod structures, respectively. These data suggest that flagellar membrane targeting of SMP-1 is not dependent on axonemal structures and that alterations in flagellar membrane lipid composition disrupt axoneme extension.
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http://dx.doi.org/10.1091/mbc.e04-06-0457 | DOI Listing |
J Biomol Struct Dyn
January 2025
ICMR-Regional Medical Research Centre, Department of Health Research, Ministry of Health and Family Welfare, Government of India, Bhubaneswar, India.
The increasing incidence of bacterial infections has led to rise in antimicrobial resistance (AMR), a significant concern in public health across the globe. Henceforth, there is an urgency to address the AMR catastrophe, including developing new antibiotics, promoting the appropriate use of existing antibiotics, and investing more in research and development. Development of potent antibiotic derivatives is the call of the day.
View Article and Find Full Text PDFJ Phys Chem A
January 2025
Madrid Institute for Advanced Studies, IMDEA Nanoscience, C/Faraday 9, Ciudad Universitaria de Cantoblanco, Madrid 28049, Spain.
The quest for color-pure emitters for multicolor bioimaging as well as for ultrahigh definition organic light-emitting diodes demands facile design concepts to avoid tedious synthetic or computational trial-and-error procedures. We have recently presented a simple recipe to construct color-pure blue emitters, which combines basic resonance structure and frontier molecular orbital treatments; this recipe applies to multiresonant type emitters and allows to enlarge the chemical space toward novel structural motifs. In the current work, we show that such fundamental considerations further apply to the structurally entirely different family of xanthene dyes.
View Article and Find Full Text PDFBMC Vet Res
January 2025
State Key Laboratory for Animal Disease Control and Prevention, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Xujiaping 1, Yanchangpu, Chengguan District, Lanzhou, 730046, Gansu, China.
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View Article and Find Full Text PDFBMC Med Genomics
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Ultrasound Diagnosis Department, Maternal and Child Health Hospital of Hubei Province, Wuhan, 430070, China.
Background: The clinical manifestations of PI4KA-related disorders are characterized by considerable variability, predominantly featuring neurological impairments, gastrointestinal symptoms, and a combined immunodeficiency. The aim of this study was to delineate the novel spectrum of PI4KA variants detected prenatally and to assess their influence on fetal development.
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Sci Rep
January 2025
School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, Belgrade, Serbia.
The expansion of LEAN and small batch manufacturing demands flexible automated workstations capable of switching between sorting various wastes over time. To address this challenge, our study is focused on assessing the ability of the Segment Anything Model (SAM) family of deep learning architectures to separate highly variable objects during robotic waste sorting. The proposed two-step procedure for generic versatile visual waste sorting is based on the SAM architectures (original SAM, FastSAM, MobileSAMv2, and EfficientSAM) for waste object extraction from raw images, and the use of classification architecture (MobileNetV2, VGG19, Dense-Net, Squeeze-Net, ResNet, and Inception-v3) for accurate waste sorting.
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