Application of flow cytometry principles for the analysis of viruses has been referred to as flow virometry (FVM). FVM is a multiparametric, high-throughput, and sensitive technique that allows viral particles to be detected, quantified, and characterized based on the biophysical properties of the virus and the expression of proteins on their surface. More specifically, by calibrating the flow cytometer with reference materials, it is possible to measure the concentration of intact viral particles in a sample, the abundance of a target antigen on the surface of the virus, and the relative diameter of the virus. Here, we describe a comprehensive overview of procedures used to stain, detect, and quantify viral and host-derived proteins located on the surface of retroviruses. These outlined techniques can be applied for the rapid phenotypic characterization of retroviruses, other enveloped viruses, and generally most viruses at the single-particle level through the direct staining of viruses collected from the supernatant of infected cells, without the need for enrichment or purification. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Virus production Basic Protocol 2: Instrument setup, standardization, and quality control for fluorescence quantification Basic Protocol 3: Flow virometry analysis Basic Protocol 4: Viral surface antigen staining and fluorescence quantification Support Protocol: Determination of the optimal antibody concentration for virus staining Basic Protocol 5: Gain configuration optimization.
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http://dx.doi.org/10.1002/cpz1.368 | DOI Listing |
BMC Vet Res
January 2025
Division of Oncology, Department of Clinical Sciences, Lund University, Lund, 22381, Sweden.
Background: Prostaglandin E2 (PGE2) is vital for embryo implantation and decidualization. Whether COX2/mPGES1/PGE2 pathway is essential for mouse and human decidualization remains unclear.
Results: This study showed that mPGES1 was highly expressed in the mouse uterus's subluminal stromal cells at the implantation site.
BMC Res Notes
January 2025
Manipal Academy of Higher Education, Manipal, Karnataka, India.
Background: Most children experience distress while visiting a dentist, above which the sound of the airotor and suction machine results in fear and difficulty in performing further procedures.
Methods: This was a randomized controlled parallel-group study of 40 children aged 6-13 years who required cavity preparation via the airotor. The children were randomly allocated to either Group 1 (Piano music app; active distraction combined with audio analgesia) or Group 2 (basic behavioural guidance alone).
Microb Cell Fact
January 2025
Department of Laboratory Medicine, The Seventh Affiliated Hospital of Southern Medical University, Foshan, Guangdong, 528244, China.
Previous studies showed that the female genital tract microbiome plays a crucial role in regulating the host's immune defense mechanisms. Our previous research has shown that Lactobacillus gasseri LGV03 (L. gasseri LGV03) isolated from cervico-vagina of HPV-cleared women contributes to clearance of HPV infection and beneficially regulate immune response.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, NO. 172 Tong Zi Po Road, Yuelu District, Changsha, 410006, Hunan, China.
Osteoporotic fractures are a major public health concern, particularly among the aging population, as they significantly contribute to morbidity, mortality, and reduced quality of life. While cardiovascular health (CVH) has traditionally been linked to cardiovascular disease outcomes, emerging evidence suggests it may also influence bone health. This study investigates the association between CVH, as measured by the Life's Essential 8 (LE8) score, and the prevalence of osteoporotic fractures in U.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Exam protocoling is a significant non-interpretive task burden for radiologists. The purpose of this work was to develop a natural language processing (NLP) artificial intelligence (AI) solution for automated protocoling of standard abdomen and pelvic magnetic resonance imaging (MRI) exams from basic associated order information and patient metadata. This Institutional Review Board exempt retrospective study used de-identified metadata from consecutive adult abdominal and pelvic MRI scans performed at our institution spanning 2.
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