Gene Screening
Gene Screening - Related Videos
09:44
High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
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2015
Here we describe a cell-based reporter gene assay as a valuable tool to screen chemical libraries for compounds modulating post-transcriptional control mechanisms exerted through 3’ UTR.
09:37
Screening Foodstuffs for Class 1 Integrons and Gene Cassettes
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Cited by 13 •
2015
This protocol describes the detection of class 1 integrons and their associated gene cassettes in foodstuffs.
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.
04:07
miniCoopR Vector-based Transgenesis: A Technique to Screen Melanoma-inducing Genes in Zebrafish Tumor Model
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2023
This video describes a method to screen for the melanoma modifying genes using a transgenic zebrafish tumor model. When injected with a melanoma-inducing miniCoopR vector, the zebrafish develops melanomas and can therefore be used to study the genetic factors affecting tumor development in zebrafish.
08:50
Genetic Screens
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2023
Genetic screens are critical tools for defining gene function and understanding gene interactions. Screens typically involve mutating genes and then assessing the affected organisms for phenotypes of interest. The process can be “forward”, where mutations are generated randomly to identify unknown genes responsible for the phenotypes, or it can be “reverse”, where specific genes are targeted for mutation to observe what phenotypes are produced.Here, JoVE reviews various types of genetic...
FAQs
The resulting DNA sequence is compared with a reference genome to identify changes at selected regions. A detected difference becomes scientifically meaningful when researchers can examine whether it may affect neuronal function and relate it to cellular or clinical outcomes. This comparison helps separate sequence variation from findings that warrant investigation in disease or trait studies.
A genetic change does not by itself explain how the nervous system is affected. Researchers use screening findings as a starting point for connecting variants with changes in neuronal function, disease mechanisms, or observed clinical features. This linkage supports investigation of how inherited genetic differences may contribute to neurodevelopmental disorders, neurodegenerative diseases, or behavior.
Amplification increases the amount of a chosen genetic region so it can be examined, whereas sequencing determines the order of bases within that region. These steps provide different kinds of support for analysis: amplification prepares selected material for study, and sequencing supplies the sequence information that can be compared with a reference genome.
A typical workflow begins by isolating DNA from a biological sample and selecting genetic regions relevant to the research question. Those regions may then be amplified or sequenced, followed by comparison with reference genomic sequences. Researchers interpret detected variants alongside cellular or clinical information to assess possible relationships with neuronal function or disease.
In neuroscience, this approach is used to investigate neurodevelopmental disorders, neurodegenerative diseases, and genetic contributions to behavior. Screening can reveal variants for further study and help researchers connect genetic findings with cellular or clinical outcomes. It therefore contributes both to understanding disease mechanisms and to examining how inherited differences may shape nervous-system biology.
Genetic findings can help classify patients according to biological features associated with a condition, provided those findings are interpreted with relevant cellular or clinical outcomes. This classification may improve the organization of disease research and identify groups for studying potential personalized therapies. The same results can also point toward genetic mechanisms or targets for future investigation.