Rapid Mutation Pipeline
Rapid Mutation Pipeline - Related Videos
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...
06:50
The Automated Crystallography Pipelines at the EMBL HTX Facility in Grenoble
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Cited by 38 •
2021
Here, we describe how to use the automated macromolecular crystallography pipelines for protein-to-structure, rapid ligand-protein complex analysis and large-scale fragment screening based on the CrystalDirect technology at the HTX Laboratory in EMBL Grenoble.
08:37
A Rapid and Facile Pipeline for Generating Genomic Point Mutants in C. elegans Using CRISPR/Cas9 Ribonucleoproteins
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2018
Here, we present a method to engineer the genome of C. elegans using CRISPR-Cas9 ribonucleoproteins and homology dependent repair templates.
02:27
Mutations
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2020
Mutations are changes in the sequence of DNA. These changes can occur spontaneously during DNA replication or be induced by environmental factors. Mutations can be characterized in several ways: by whether and how they alter the amino acid sequence of the protein, by the scale of the DNA affected, and by whether they affect somatic or germline cells.Consequences of Point Mutations at the Molecular LevelMutations that affect a single nucleotide are called point mutations. When point mutations...
02:27
Mutations
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2026
Mutations are changes in the sequence of DNA. These changes can occur spontaneously during DNA replication or be induced by environmental factors. Mutations can be characterized in several ways: by whether and how they alter the amino acid sequence of the protein, by the scale of the DNA affected, and by whether they affect somatic or germline cells.Consequences of Point Mutations at the Molecular LevelMutations that affect a single nucleotide are called point mutations. When point mutations...
FAQs
The workflow treats variant generation, recovery, evaluation, and confirmation as linked stages rather than isolated experiments. Mutagenesis first creates genetic changes, after which researchers recover candidate variants and apply screening or selection to identify informative outcomes. Sequence-based confirmation then connects each observed phenotype or activity change to a defined mutation, producing characterized variants suitable for comparison.
Sequence-based confirmation establishes which genetic change is present in a recovered candidate. This step helps distinguish a reproducible genotype from an observed trait that has not yet been tied to a specific sequence change. In genetics research, that connection supports reliable genotype–phenotype analysis and allows investigators to compare mutations systematically rather than relying only on an initial screen or selection result.
Screening or selection narrows a group of recovered variants to those that show a trait, activity, or other outcome relevant to the experiment. Their use makes the workflow practical when researchers need to evaluate variants against a defined objective. The resulting candidates can then undergo sequence-based confirmation and further characterization, linking experimental performance with genetic identity.
A Rapid Mutation Pipeline supports side-by-side comparison of genetic changes and their effects on gene function, regulatory elements, protein activity, or genotype–phenotype relationships. The comparison can reveal which variants alter a target outcome and whether different mutations produce similar or distinct effects. This organized evaluation also helps identify changes that are useful for experimental optimization or strain engineering.
A typical application begins with a selected target gene, followed by mutagenesis to generate variants. Researchers then recover the altered sequences, use screening or selection to identify candidates, and confirm the relevant changes by sequencing. The final stage evaluates the confirmed variants in the experimental context, converting a collection of mutations into interpretable genetic information.
This approach is valuable when investigators need to examine numerous changes within one target gene or compare variants efficiently. It can support gene-function studies, analysis of regulatory elements, evaluation of protein activity, and genotype–phenotype experiments. The same workflow can also accelerate strain engineering and experimental optimization by helping researchers identify variants associated with useful or informative traits.
Once mutations have been recovered and sequence-confirmed, researchers can evaluate which genetic changes produce useful or informative traits. Comparing these characterized variants provides a basis for selecting changes that improve an experimental system or guide further engineering. The workflow therefore connects mutation discovery with practical optimization, while retaining the genetic information needed to interpret why a variant performs differently.