Background: Based on genetic heterogeneity, hepatitis C virus (HCV) is classified into seven major genotypes and 64 subtypes. In spite of the sequence heterogeneity, all genotypes share an identical complement of colinear genes within the large open reading frame. The genetic interrelationships between these genes are consistent among genotypes. Due to this property, complete sequencing of the HCV genome is not required. HCV genotypes along with subtypes are critical for planning antiviral therapy. Certain genotypes are also associated with higher progression to liver cirrhosis.
Methods: In this study, 100 blood samples were collected from individuals who came for routine HCV genotype identification. These samples were used for the comparison of two different genotyping methods (5'NCR PCR-RFLP and HCV core type-specific PCR) with NS5b sequencing.
Results: Of the 100 samples genotyped using 5'NCR PCR-RFLP and HCV core type-specific PCR, 90% (κ = 0.913, P < 0.00) and 96% (κ = 0.794, P < 0.00) correlated with NS5b sequencing, respectively. Sixty percent and 75% of discordant samples by 5'NCR PCR-RFLP and HCV core type-specific PCR, respectively, belonged to genotype 6. All the HCV genotype 1 subtypes were classified accurately by both the methods.
Conclusion: This study shows that the 5'NCR-based PCR-RFLP and the HCV core type-specific PCR-based assays correctly identified HCV genotypes except genotype 6 from this region. Direct sequencing of the HCV core region was able to identify all the genotype 6 from this region and serves as an alternative to NS5b sequencing.
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http://dx.doi.org/10.1002/jcla.22045 | DOI Listing |
bioRxiv
January 2025
Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, Boston MA 02115.
The concentrations of extracellular and intracellular signaling molecules, such as dopamine and cAMP, change over both fast and slow timescales and impact downstream pathways in a cell-type specific manner. Fluorescence sensors currently used to monitor such signals are typically optimized to detect fast, relative changes in concentration of the target molecule. They are less well suited to detect slowly-changing signals and rarely provide absolute measurements of either fast and slow signaling components.
View Article and Find Full Text PDFJ Immunol Methods
January 2025
ICAR-Indian Veterinary Research Institute, Bangalore, Karnataka 560024, India.
Bluetongue (BT) is a vector-borne viral disease of multiple domestic and wild ruminants across the globe. The VP7 protein of bluetongue virus (BTV) is the major immune-dominant structural protein that is conserved across the BTV serotypes and therefore, targeted for the development of immuno-diagnostics for BT. In this study, full-length recombinant VP7 protein (rVP7) of BTV-1 was expressed in Trochoplusia ni derived insect cells (Tn5) using codon-optimized synthetic gene construct through baculovirus expression system.
View Article and Find Full Text PDFFree Neuropathol
January 2024
Department of Pathology, Nash Family Department of Neuroscience, Department of Artificial Intelligence & Human Health, Neuropathology Brain Bank & Research CoRE, Ronald M. Loeb Center for Alzheimer's Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
This review highlights a collection of both diverse and highly impactful studies published in the previous year selected by the author from the neurodegenerative neuropathology literature. As with previous reviews in this series, the focus is, to the best of my ability, to highlight human tissue-based experimentation most relevant to experimental and clinical neuropathologists. A concerted effort was made to balance the selected studies across neurodegenerative disease categories, approaches, and methodologies to capture the breadth of the research landscape.
View Article and Find Full Text PDFJ Nucl Med
January 2025
Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria;
Tumor metabolism is a hallmark of cancer, yet cellular heterogeneity within the tumor microenvironment presents a significant challenge, as bulk analysis masks the diverse metabolic profiles of individual cell populations. This complexity complicates our understanding of [F]FDG uptake by distinct cell types in the tumor microenvironment. This study aims to investigate [F]FDG uptake at the single-cell level in the lung of Kirsten rat sarcoma virus-driven cancer mouse models using the novel technique radio-flow cytometry (radioFlow).
View Article and Find Full Text PDFNat Commun
January 2025
Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center; Department of Medicine, BIDMC; Harvard Stem Cell Institute, Harvard Medical School, Boston, MA, USA.
N-methyladenosine (mA) is among the most abundant mRNA modifications, yet its cell-type-specific regulatory roles remain unclear. Here we show that mA methyltransferase-like 14 (METTL14) differentially regulates transcriptome in brown versus white adipose tissue (BAT and WAT), leading to divergent metabolic outcomes. In humans and mice with insulin resistance, METTL14 expression differs significantly from BAT and WAT in the context of its correlation with insulin sensitivity.
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