Dna Mutation Assays
Dna Mutation Assays - Related Videos
04:00
Evaluating Mutation Frequency in Bacteria Using the Beta-Glucosidase Assay
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2025
Source: Stefan, A., et al. The Multifaceted Benefits of Protein Co-expression in Escherichia coli. J. Vis. Exp. (96), (2015).This video demonstrates the evaluation of mutation frequency in bacteria using a beta-glucosidase assay. Bacterial cultures expressing a proofreading-deficient DNA polymerase are collected over successive generations. Replication errors caused by reduced proofreading may activate a suppressed beta-glucosidase gene. After centrifugation and permeabilization, a substrate is...
10:00
Assaying DNA Damage in Hippocampal Neurons Using the Comet Assay
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Cited by 21 •
2012
The comet assay is an efficient way of detecting single- and double-strand breaks, including alkali-labile sites and DNA-DNA/DNA-protein cross-links on the DNA in all cells including hippocampal neurons. The method takes advantage of the differential migration of DNA in an electric field due to differences in amount of DNA damage.
08:29
Profiling Epidermal Growth Factor Receptor DNA Mutations in Circulating Rare Cells Using a Cell Isolation System and Droplet Digital PCR
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2026
Here we present a protocol to illustrate the isolation of rare cancer cells from a contrived sample containing whole blood and spiked in lung cancer cells. The protocol utilizes a semi-automated, label-free cell isolation platform. Enriched cells are subsequently analyzed for epidermal growth factor receptor mutations using droplet digital PCR.
00:36
Viral Mutations
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2019
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material for adaptive...
07:44
Measuring Microbial Mutation Rates with the Fluctuation Assay
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Cited by 35 •
2019
Here, a protocol is presented to perform a fluctuation assay and estimate microbial mutation rate using phenotypic markers. This protocol will enable researchers to assay mutations in diverse microbes and environments, determining how genotype and ecological context affect spontaneous mutation rates.
FAQs
The assay first focuses analytical attention on a defined target region or on a mutation-dependent signal. It then compares the resulting readout with a reference sequence or reference pattern. This comparison can reveal whether a nucleotide change is present and, depending on the assay design, support detection of rare variants or estimation of how frequently a mutation occurs.
These approaches provide different ways to recognize sequence alterations. Allele-specific detection targets a particular variant, whereas hybridization distinguishes sequences through their interaction with a complementary reference. Restriction analysis supplies another mutation-sensitive readout, while sequencing identifies the nucleotide sequence itself. Selecting among them depends on whether the study requires targeted detection, comparative analysis, or sequence-level characterization.
Assay design determines which genetic change produces a measurable signal and how that signal is compared with a reference. A design centered on a defined target can support mutation-frequency measurements, while a design intended to capture mutation-dependent signals can help identify rare variants. These choices affect the type of genetic-stability information the experiment can provide.
A typical workflow begins by selecting the genomic region or mutation-dependent feature relevant to the biological question. The assay then amplifies the target or captures a signal associated with the mutation. Finally, allele-specific detection, hybridization, restriction analysis, or sequencing distinguishes altered DNA from the reference. The resulting pattern can be interpreted for variant identity, frequency, or genomic damage.
Researchers apply these assays when they need evidence about genetic variation or genomic damage rather than only a general measure of biological response. The methods can examine effects associated with environmental exposures, disease processes, or experimental treatments. They are therefore useful for evaluating whether a condition or intervention is associated with altered genetic stability in the studied system.
In cancer research, the assays help characterize genetic changes linked to disease processes. In inherited disease studies, they support investigation of sequence variation, while microbial surveillance uses them to monitor genetic differences in microbial populations. After genome editing, the same approaches can validate whether the intended sequence outcome occurred and help identify altered DNA in the examined material.