Deletion Mutant Array
Deletion Mutant Array - Related Videos
11:24
Rapid Deletion Production in Fungi via Agrobacterium Mediated Transformation of OSCAR Deletion Constructs
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Cited by 8 •
2017
Gene deletion mutants generated through homologous recombination are the gold standard for gene function studies. The OSCAR (One Step Construction of Agrobacterium-Recombination-ready-plasmids) method for rapid generation of deletion constructs is described. Agrobacterium mediated fungal transformation follows. Finally, a PCR based confirmation method of gene deletions in fungal transformants is presented.
14:07
Genome-wide Gene Deletions in Streptococcus sanguinis by High Throughput PCR
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Cited by 9 •
2012
An efficient genome-wide single gene mutation method has been established using Streptococcus sanguinis as a model organism. This method has achieved via high throughput recombinant PCRs and transformations.
14:06
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
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Cited by 9 •
2012
Systematic, large-scale synthetic genetic (gene-gene or epistasis) interaction screens can be used to explore genetic redundancy and pathway cross-talk. Here, we describe a high-throughput quantitative synthetic genetic array screening technology, termed eSGA that we developed for elucidating epistatic relationships and exploring genetic interaction networks in Escherichia coli.
09:16
Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
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Cited by 7 •
2015
Array CGH for the detection of genomic copy number variants has replaced G-banded karyotype analysis. This paper describes the technology and its application in a diagnostic service laboratory.
13:06
The Green Monster Process for the Generation of Yeast Strains Carrying Multiple Gene Deletions
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Cited by 13 •
2012
The Green Monster method enables the rapid assembly of multiple deletions marked with a reporter gene encoding green fluorescent protein. This method is based on driving yeast strains through repeated cycles of sexual assortment of deletions and fluorescence-based enrichment of cells carrying more deletions.
FAQs
The key comparison is between each mutant and a reference strain under the same evaluation framework. Differences in growth, survival, morphology, or another measured phenotype indicate that removing the corresponding gene affects the observed trait. Controlled comparisons make it possible to associate a phenotype with a specific deletion while reducing ambiguity from differing experimental conditions.
Molecular barcodes allow strains in a pooled assay to be tracked through their relative abundance. Because each strain carries a strain-specific sequence tag, changes in barcode representation can indicate which deletion mutants become more or less prevalent under the tested conditions. This expands the assay from one-strain-at-a-time comparisons to simultaneous measurement of many strains.
Genetic interaction patterns provide a way to interpret mutant effects in relation to one another, rather than treating each phenotype as isolated. Comparing responses across the array can support pathway analysis and help identify groups of genes whose functions may be connected. Such patterns guide follow-up studies of cellular processes.
An evaluation begins by generating or assembling the strains, then maintaining them under controlled conditions. Researchers compare each mutant with a reference strain using selected readouts such as growth, survival, morphology, or another phenotype. If a pooled format is chosen, strain-specific molecular barcodes provide a way to follow relative abundance across the collection.
Researchers can use these experiments to examine gene contributions to stress responses, metabolism, drug sensitivity, and disease-relevant processes. The approach is especially useful for functional genomics, where many gene deletions are related to measurable phenotypes. Results can reveal condition-associated vulnerabilities or altered traits that merit more focused investigation.
Phenotypic profiles connect individual genes with cellular functions by showing which measured traits change after specific deletions. Researchers can use these patterns to support pathway analysis and prioritize genes or targets for further study. The profiles therefore serve as an organizing layer between raw observations, broader biological interpretation, and experiments designed to examine selected candidates in greater depth.