Core Gene Identification
Core Gene Identification - Related Videos
02:10
The Nucleosome Core Particle
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2020
Nucleosomes are the DNA-histone complex, where the DNA strand is wound around the histone core. The histone core is an octamer containing two copies of H2A, H2B, H3, and H4 histone proteins. The paradox Nucleosomes, paradoxically, perform two opposite functions simultaneously. On the one hand, their main responsibility is to protect the delicate DNA strands from physical damage and help achieve a higher compaction ratio. While on the other hand, they must allow polymerase enzymes to access DNA...
08:17
VIGS-Mediated Forward Genetics Screening for Identification of Genes Involved in Nonhost Resistance
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Cited by 22 •
2013
Virus-induced gene silencing is an useful tool for identifying genes involved in nonhost resistance of plants. We demonstrate the use of bacterial pathogens expressing GFPuv in identifying gene silenced plants susceptible to nonhost pathogens. This approach is easy, fast and facilitates large scale screening and similar protocol can be applied to studying various other plant-microbe interactions.
06:34
Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
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Cited by 29 •
2016
Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) and molecular techniques (16S rRNA gene sequencing) permit the identification of rare bacterial pathogens in routine diagnostics. The goal of this protocol lies in the combination of both techniques which leads to more accurate and reliable data.
02:23
Visualizing the Effect of pH on Solubilization of the Influenza A Viral Core
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2026
Source: Stauffer, S. et al., In Vitro Disassembly of Influenza A Virus Capsids by Gradient Centrifugation. J. Vis. Exp. (2016)This video demonstrates the effect of pH on the solubilization of influenza A viral cores. Gel electrophoresis and protein staining reveal the progressive disassembly of the core structure under acidic conditions.
08:57
Identification of Novel Genes Associated with Alginate Production in Pseudomonas aeruginosa Using Mini-himar1 Mariner Transposon-mediated Mutagenesis
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Cited by 13 •
2014
Here we describe a protocol using the mini-himar1 mariner transposon-mediated mutagenesis for generating a high-density insertion mutant library to screen, isolate and identify novel alginate regulators in the prototypic Pseudomonas aeruginosa strain PAO1.
FAQs
Core status is evaluated against a particular cell, organism, engineered system, function, or phenotype. A gene may be indispensable for maintaining one defined outcome but less important for another. This system-specific framing prevents researchers from treating essentiality as a universal label and helps engineering teams select genes relevant to the performance goal of a particular biological design.
Researchers examine whether disrupting a gene produces a measurable change in the selected phenotype or function. Genes whose loss consistently compromises that outcome are stronger core candidates, whereas genes that can be removed without the measured effect may provide flexibility or redundancy. This distinction helps separate required biological components from elements that can be modified during system engineering.
Each approach contributes different evidence. Genome-scale screening surveys many genes, targeted disruption tests selected candidates more directly, and expression analysis shows how genes are associated with the system under study. Computational comparison can integrate these results, while functional assays and genetic complementation provide further validation. Together, the methods reduce reliance on a single type of observation.
The workflow begins by defining the function or phenotype to preserve, followed by genome-scale screening or targeted gene disruption. Researchers then measure the resulting effects, examine expression patterns, and compare candidates computationally. Genes that show a relevant loss-of-function effect can be tested with functional assays or genetic complementation before inclusion in a core gene set.
By distinguishing indispensable genes from flexible or redundant components, the analysis helps define which biological elements should be preserved during strain design. In microbial platforms and metabolic pathways, those results can support strain optimization and clarify which components are likely to be important for maintaining the engineered function. The same information can contribute to more reliable synthetic biological systems.
Validated sets can guide strain optimization, predictive modeling, and the design of engineered organisms. They provide a focused representation of components associated with maintaining a defined function, rather than treating every gene as equally necessary. In engineering contexts, this supports decisions about which elements to retain, which may be adjustable, and how to improve the reliability of a biological system.