A small DNA virus was isolated from the feces of a sow with diarrhea and identified as a parvovirus on the basis of its properties. The virus replicated preferentially in cell cultures of swine origin, including primary porcine thyroid gland and kidney cell cultures in which the cytopathic effect developed. The virus agglutinated erythrocytes of guinea pig, mouse and human group O but not these of chicken. The growth of the virus was inhibited by 5-iodo-2'-deoxyuridine. The virus was resistant to ether and heating at 56 degrees C for 30 min and stable at pH 3.0. The buoyant density of the infectious particles was 1.40 g/ml in CsCl density gradient, and the virions were 27 nm in diameter by electron microscopy. The viral protein seemed to be separated into four polypeptides with molecular weights of 81k, 70k, 66k and 62k daltons respectively. Cross serum neutralization test demonstrated that the virus was antigenically different from porcine parvovirus as well as bovine and canine parvoviruses. These findings and the survey on neutralizing antibody distribution indicated indirectly that another parvovirus which could be antigenically distinguished from well-known porcine parvovirus had been widespread among swine in Japan.
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http://dx.doi.org/10.1292/jvms1939.51.337 | DOI Listing |
Osteoarthritis, a major global cause of pain and disability, is driven by the irreversible degradation of hyaline cartilage in joints. Cartilage tissue engineering presents a promising therapeutic avenue, but success hinges on replicating the native physiological environment to guide cellular behavior and generate tissue constructs that mimic natural cartilage. Although electrical stimulation has been shown to enhance chondrogenesis and extracellular matrix production in 2D cultures, the mechanisms underlying these effects remain poorly understood, particularly in 3D models.
View Article and Find Full Text PDFKidney explant cultures are traditionally carried out at air-liquid interfaces, which disrupts 3D tissue structure and limits interpretation of developmental data. To overcome this limitation, we developed a 3D culture technique using hydrogel embedding to capture morphogenesis in real time. We show that 3D culture better approximates -like niche spacing and dynamic tubule tip rearrangement, as well as -like presentation of branching defects under perturbations to glial cell-derived neurotrophic factor (GDNF)- RE arranged during T ransfection (RET) tyrosine kinase signaling.
View Article and Find Full Text PDFIt is becoming more broadly accepted that human-based models are needed to better understand the complexities of the human nervous system and its diseases. The recently developed human brain organotypic culture model is one highly promising model that requires the involvement of neurosurgeons and neurosurgical patients. Studies have investigated the electrophysiological properties of neurons in such human tissues, but the maintenance of other cell types within explanted brain remains largely unknown.
View Article and Find Full Text PDFFront Immunol
December 2024
Department of Pharmaceutical Sciences, Marshall University School of Pharmacy, Huntington, WV, United States.
CD4 T cell activation induces dramatic changes to cellular metabolism for supporting their growth and differentiation into effector subsets. While the cytokines IL-4, TGF-β and IL-21 promote differentiation into Th9 cells, metabolic factors regulating this process remain poorly understood. To assess the role of lipid metabolism in human Th9 cell differentiation, naïve CD4 T cells were purified from blood of healthy volunteers and cultured in the presence or absence of compounds targeting PPAR-γ, acetyl-CoA-carboxylase 1 (ACC1), and AMP-activated protein kinase (AMPK) for four days.
View Article and Find Full Text PDFBioinform Biol Insights
January 2025
Department of Pathology & Clinical Bioinformatics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
While deep learning (DL) is used in patients' outcome predictions, the insufficiency of patient samples limits the accuracy. In this study, we investigated how transfer learning (TL) alleviates the small sample size problem. A 2-step TL framework was constructed for a difficult task: predicting the response of the drug temozolomide (TMZ) in glioblastoma (GBM) cell cultures.
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