Genotyping Mutation
Genotyping Mutation - Related Videos
08:23
SNP Genotyping
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2023
Single nucleotide polymorphisms, or SNPs, are the most common form of genetic variation in humans. These differences at individual bases in the DNA often do not directly affect gene expression, but in many cases can still be useful for locating disease-associated genes or for diagnosing patients. Numerous methodologies have been established to identify, or “genotype”, SNPs.JoVE’s introduction to SNP Genotyping begins by discussing what SNPs are and how they can be used to identify...
06:30
Rapid and Efficient Zebrafish Genotyping Using PCR with High-resolution Melt Analysis
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Cited by 34 •
2014
PCR combined with high-resolution melt analysis (HRMA) is demonstrated as a rapid and efficient method to genotype zebrafish.
08:27
Mouse Genotyping
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2023
Even though the human genome was mapped over 10 years ago, scientists are still far from understanding the function of every human gene! One way to evaluate how a gene functions is to disrupt the sequence encoding it and then evaluate the impact of this change (the phenotype) on the animal’s biology. This approach is commonly used in the mouse (Mus musculus), since it shares a high degree of genetic similarity with humans. To track the animals bearing genetic changes over several generations,...
08:36
Prostate Organoid Cultures as Tools to Translate Genotypes and Mutational Profiles to Pharmacological Responses
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Cited by 21 •
2019
Presented here is a protocol to study pharmacological responses in prostate epithelial organoids. Organoids closely resemble in vivo biology and recapitulate patient genetics, making them attractive model systems. Prostate organoids can be established from wildtype prostates, genetically engineered mouse models, benign human tissue, and advanced prostate cancer.
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...
FAQs
Allele-specific primers are designed to match sequence differences at the targeted genetic variant. During PCR, a primer preferentially amplifies a compatible allele, allowing amplification patterns to distinguish normal, mutant, or potentially mixed genotypes. This approach is useful when researchers need a focused assay for confirming an engineered sequence change in a cell line or animal model.
Restriction analysis can distinguish alleles when the mutation creates or removes a recognizable restriction site, producing different DNA fragment patterns after targeted processing. Sequencing instead determines the nucleotide sequence directly. The choice depends on whether the variant can be resolved through restriction-based discrimination or requires direct sequence confirmation, particularly during validation of engineered phenotypes.
A sequence change alone does not establish its biological effect. Comparing mutation genotyping results with measurable traits helps researchers assess whether a variant is associated with the engineered phenotype under study. This connection supports interpretation of disease models and engineered organisms, while also separating successful genetic modification from changes that do not produce the expected outcome.
The workflow begins with isolation of genomic DNA from the organism or cell being examined. Researchers then amplify the region containing the suspected variant by PCR and distinguish the resulting sequences using allele-specific primers, restriction analysis, or DNA sequencing. Applying a suitable detection strategy produces genotype data that can confirm the intended genetic state.
After genetic engineering, researchers can examine genomic DNA to determine whether the intended sequence change is present in a cell line or animal model. Genotype results provide molecular confirmation that complements observed traits. They also help track engineered lines over time, supporting quality control, reproducibility, and selection of models for subsequent experiments.
Genotype data identify which alleles are present and provide a molecular record of an engineered or inherited sequence state. In bioengineering, these data support confirmation of genome edits, comparison of engineered phenotypes, and validation of disease models. Consistent genotyping strengthens experimental interpretation by linking genetic status with biological measurements and improving reproducibility.