Hcv Rna Quantification
Hcv Rna Quantification - Related Videos
16:49
Two Methods of Heterokaryon Formation to Discover HCV Restriction Factors
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2012
We describe two methods for conditional trans-complementation of hepatitis C virus (HCV) assembly and the completion of the full viral life cycle, which rely on heterokaryon formation. These techniques are suitable to screen for cell lines that express dominant restriction factors, which preclude production of infectious HCV progeny.
10:39
Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification
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Cited by 40 •
2016
This protocol describes the isolation and quantification of high-density lipoprotein small RNAs.
10:52
Visualization and Quantification of Intermolecular RNA Base Pairing in in vitro RNA Clusters Using Split Broccoli RNA Reporters
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2026
This protocol describes a visual assay using split Broccoli RNA reporters to detect and quantify intermolecular base pairing in RNA clusters in vitro.
06:02
A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells
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2025
This protocol provides a streamlined computational pipeline for quantifying nascent enhancer transcripts. By integrating chromatin accessibility, chromatin feature, and transcriptional data, it enables accurate detection and strand-specific analysis of enhancer activity in complex intragenic regions, while remaining accessible to researchers without extensive bioinformatics training.
02:37
Quantification of Infectious Hepatitis C Virus by Fluorescence Microscopy
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2026
Source: Ren, S., et al. A Protocol for Analyzing Hepatitis C Virus Replication. J. Vis. Exp. (2014)This video demonstrates the fluorescence focus assay used to quantify infectious Hepatitis C virus in cell culture. It demonstrates the serial dilution of viral supernatant, the infection of hepatoma cells, and the detection of viral replication sites using antibody-based fluorescence microscopy.
FAQs
Reverse transcription converts viral RNA into complementary DNA before amplification. This conversion creates a DNA template that the quantitative PCR stage can recognize and copy using sequence-specific primers. The two-stage design connects detection of an RNA virus with a DNA-based amplification process, allowing researchers to measure viral genetic material in the original biological sample.
Sequence-specific primers direct amplification toward matching regions of the HCV genetic material rather than unrelated nucleic acids in the sample. Their role helps connect the fluorescence signal to the target being measured. This targeted amplification is important when the result will be used to assess viral replication or compare changes across biological samples.
Calibration standards provide reference points for translating amplification-associated fluorescence into a reported viral load. Without this comparison, the assay could indicate target detection but would not support the same quantitative interpretation. Standards therefore make measurements more consistent and useful for comparing baseline levels, treatment-associated changes, and results from different antiviral strategies.
Fluorescence provides the detectable readout as the target sequence is amplified. The measured signal is interpreted alongside calibration standards to estimate the amount of HCV genetic material present in the sample. Because the assay follows amplification in real time, the resulting measurement can be used to characterize viral replication levels rather than simply record whether target material was detected.
The workflow begins with a biological sample, followed by conversion of viral RNA into complementary DNA. Sequence-specific primers then support amplification in a real-time quantitative PCR reaction, while fluorescence supplies the detection signal. Calibration standards are used to convert that signal into a viral-load result, producing a measurement suitable for biological or clinical research.
Researchers use the measurement to support confirmation of infection and to establish a baseline level before evaluating changes over time. It also allows treatment monitoring and assessment of virologic response. In comparative studies, repeated measurements can help evaluate antiviral strategies by showing how viral replication changes during or after the investigated intervention.