Single Cycle Kinetics
Single Cycle Kinetics - Related Videos
11:23
Measuring Cell Cycle Progression Kinetics with Metabolic Labeling and Flow Cytometry
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Cited by 13 •
2012
Tracking subtle changes in the progression and kinetics of cell cycle stages can be accomplished by use of a combination of metabolic labeling of nucleic acids with BrdU and total genomic DNA staining via Propidium Iodide. This method avoids the need of chemical synchronization of cycling cells, thereby preventing the introduction of non-specific DNA damage, which in turn affects cell cycle progression.
11:22
Measuring the Kinetics of mRNA Transcription in Single Living Cells
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Cited by 6 •
2011
RNA polymerase II transcriptional kinetics are measured on specific genes in living cells. mRNAs transcribed from the gene of interest are fluorescently tagged and using Fluorescence Recovery After Photobleaching (FRAP) the in vivo kinetics of transcriptional elongation are obtained.
14:59
Method for Measurement of Viral Fusion Kinetics at the Single Particle Level
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Cited by 11 •
2009
We present an in vitro, two-color fluorescence assay to visualize the fusion of single virus particles with a fluid target bilayer. By labeling viral particles with fluorophores that differentially stain the viral membrane and its interior, we are able to monitor the kinetics of hemifusion and pore formation.
14:27
Steady-state, Pre-steady-state, and Single-turnover Kinetic Measurement for DNA Glycosylase Activity
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Cited by 26 •
2013
Time courses for the glycosylase activity of 8-oxoguanine DNA glycosylase are biphasic exhibiting a burst of product formation and a linear steady-state phase. Utilizing quench-flow techniques, the burst and the steady-state rates can be measured, which correspond to excision of 8-oxoguanine and release of the glycosylase from the product DNA, respectively.
09:32
Cell Cycle Analysis
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2023
Cell cycle refers to the set of events through which a cell grows, replicates its genome, and ultimately divides into two daughter cells through the process of mitosis. Because the amount of DNA in a cell shows characteristic changes throughout the cycle, techniques known as cell cycle analysis can be used to separate a population of cells according to the different phases of cell cycle they are in, based on their varying DNA content.This video will cover the principles behind cell cycle...
FAQs
Synchronization aligns the starting point of infection across a susceptible-cell population. A defined inoculum establishes when exposure occurs, while timed sampling places observed changes within stages such as entry, the eclipse period, genome replication, assembly, and release. This temporal alignment helps distinguish a delay in one stage from reduced overall replication.
Researchers can measure infectious particles, viral genomes, or viral proteins. These readouts examine the time course from complementary biological perspectives: production of infectious material, presence of genetic material, or accumulation of viral protein. Choosing among these measurements helps characterize how changes appear during different parts of the replication cycle.
Changes in the resulting time course can reflect differences among viral strains, host cells, mutations, or treatment conditions. A shift in timing may indicate altered progression through infection, whereas a change in the measured amount can indicate different replication efficiency. The assay therefore connects an observed phenotype with factors influencing viral growth.
The experiment begins by exposing susceptible cells to a defined inoculum, followed by collecting samples at timed intervals. Each sample is assessed for infectious particles, viral genomes, or viral proteins, and the measurements are organized as a time course. This workflow makes progression from early infection through particle release experimentally visible.
Researchers can apply the same framework to different viral strains, host cells, mutations, or treatment conditions. The resulting time courses show whether a factor changes the efficiency or timing of infection. Such comparisons are useful for identifying replication defects and for determining whether a condition influences a particular stage rather than infection as a whole.
The method is particularly informative in virology because it separates major events within viral growth. Researchers can examine how host-cell context, viral genetic changes, or treatment conditions affect entry, genome replication, assembly, and release. The outcome is a stage-resolved view of infection that helps explain why one biological condition differs from another.