1,095 research outputs found

    Prvi nalaz oftalmostereze u teleta korejske domaće pasmine inficiranog virusom virusnog proljeva goveda.

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    A case of ophthalmosteresis associated with bovine viral diarrhea virus (BVDV) infection in a female Korea native calf is identified. This congenital anomaly is rare in cattle. Clinical examination revealed no further anomalies. The presence of BVDV antibodies was observed in serum. This is the first documented case of ophthalmosteresis in a calf specifically attributed to BVDV infection.Opisan je slučaj oftalmostereze (gubitka oka) u ženskog teleta korejske udomaćene pasmine povezane s virusom virusnog proljeva goveda. Ova kongenitalna anomalija rijetka je u goveda. Druge anomalije u istog teleta nisu bile uočene. U uzorku seruma teleta bila su dokazana specifična protutijela za virus virusnog proljeva goveda. Ovo je prvi slučaj oftalmostereze u teleta koji se pripisuje infekciji virusom virusnog proljeva

    Evolution of optical phonons in CdS nanowires, nanobelts, and nanosheets

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    We report Raman scattering from single and ensemble CdS nanowires, nanobelts, and nanosheets. The Raman spectra of nanobelts and nanosheets are notably different from those of nanowires, exhibiting a strong enhancement of the multiphonon response. Moreover, the first-order longitudinal optical (LO) phonon energy systematically increases with increasing lateral size from nanowires to nanobelts, and to nanosheets. These results suggest that the optical phonons in the CdS nanostructures are influenced by strain, crystallinity, and exciton-LO phonon coupling.open342

    The EQIP GIS, Web-based Decision Program

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    Working together, NRCS and Purdue University staff developed a GIS, web-based EQIP decision program. Landowners and NRCS personnel enter required EQIP information via a mapping service. Other subroutines store the information for use by NRCS in ranking and funding EQIP applications that receive the highest scores subject to budget constraints.Research and Development/Tech Change/Emerging Technologies,

    A machine learning approach to discover migration modes and transition dynamics of heterogeneous dendritic cells

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    Dendritic cell (DC) migration is crucial for mounting immune responses. Immature DCs (imDCs) reportedly sense infections, while mature DCs (mDCs) move quickly to lymph nodes to deliver antigens to T cells. However, their highly heterogeneous and complex innate motility remains elusive. Here, we used an unsupervised machine learning (ML) approach to analyze long-term, two-dimensional migration trajectories of Granulocyte-macrophage colony-stimulating factor (GMCSF)-derived bone marrow-derived DCs (BMDCs). We discovered three migratory modes independent of the cell state: slow-diffusive (SD), slow-persistent (SP), and fast-persistent (FP). Remarkably, imDCs more frequently changed their modes, predominantly following a unicyclic SD→FP→SP→SD transition, whereas mDCs showed no transition directionality. We report that DC migration exhibits a history-dependent mode transition and maturation-dependent motility changes are emergent properties of the dynamic switching of the three migratory modes. Our ML-based investigation provides new insights into studying complex cellular migratory behavior

    Dendritic Cell Migration Is Tuned by Mechanical Stiffness of the Confining Space

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    The coordination of cell migration of immune cells is a critical aspect of the immune response to pathogens. Dendritic cells (DCs), the sentinels of the immune system, are exposed to complex tissue microenvironments with a wide range of stiffnesses. Recent studies have revealed the importance of mechanical cues in immune cell trafficking in confined 3D environments. However, the mechanism by which stiffness modulates the intrinsic motility of immature DCs remains poorly understood. Here, immature DCs were found to navigate confined spaces in a rapid and persistent manner, surveying a wide range when covered with compliant gels mimicking soft tissues. However, the speed and persistence time of random motility were both decreased by confinement in gels with higher stiffness, mimicking skin or diseased, fibrotic tissue. The impact of stiffness of surrounding tissue is crucial because most in vitro studies to date have been based on cellular locomotion when confined by microfabricated polydimethylsiloxane structures. Our study provides evidence for a role for environmental mechanical stiffness in the surveillance strategy of immature DCs in tissues

    The Actinobacillus pleuropneumoniae HMW1C-Like Glycosyltransferase Mediates N-Linked Glycosylation of the Haemophilus influenzae HMW1 Adhesin

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    The Haemophilus influenzae HMW1 adhesin is an important virulence exoprotein that is secreted via the two-partner secretion pathway and is glycosylated at multiple asparagine residues in consensus N-linked sequons. Unlike the heavily branched glycans found in eukaryotic N-linked glycoproteins, the modifying glycan structures in HMW1 are mono-hexoses or di-hexoses. Recent work demonstrated that the H. influenzae HMW1C protein is the glycosyltransferase responsible for transferring glucose and galactose to the acceptor sites of HMW1. An Actinobacillus pleuropneumoniae protein designated ApHMW1C shares high-level homology with HMW1C and has been assigned to the GT41 family, which otherwise contains only O-glycosyltransferases. In this study, we demonstrated that ApHMW1C has N-glycosyltransferase activity and is able to transfer glucose and galactose to known asparagine sites in HMW1. In addition, we found that ApHMW1C is able to complement a deficiency of HMW1C and mediate HMW1 glycosylation and adhesive activity in whole bacteria. Initial structure-function studies suggested that ApHMW1C consists of two domains, including a 15-kDa N-terminal domain and a 55-kDa C-terminal domain harboring glycosyltransferase activity. These findings suggest a new subfamily of HMW1C-like glycosyltransferases distinct from other GT41 family O-glycosyltransferases
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