Growth Phenotype Screening
Growth Phenotype Screening - Related Videos
09:40
RNAi Screening to Identify Postembryonic Phenotypes in C. elegans
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Cited by 9 •
2012
We describe a sensitized method to identify postembryonic regulators of protein expression and localization in C. elegans using an RNAi-based genomic screen and an integrated transgene that expresses a functional, fluorescently tagged protein.
15:28
A Microscopic Phenotypic Assay for the Quantification of Intracellular Mycobacteria Adapted for High-throughput/High-content Screening
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Cited by 30 •
2014
Here, we describe a phenotypic assay applicable to the High-throughput/High-content screens of small-interfering synthetic RNA (siRNA), chemical compound, and Mycobacterium tuberculosis mutant libraries. This method relies on the detection of fluorescently labeled Mycobacterium tuberculosis within fluorescently labeled host cell using automated confocal microscopy.
11:44
Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants
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Cited by 28 •
2015
Coxiella burnetii is an obligate intracellular Gram-negative bacterium responsible for the zoonotic disease Q fever. Here we describe methods for the generation of Coxiella fluorescent transposon mutants as well as the automated identification and analysis of the resulting internalization, replication and cytotoxic phenotypes.
09:34
Identification of Growth Inhibition Phenotypes Induced by Expression of Bacterial Type III Effectors in Yeast
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Cited by 33 •
2010
In this video, we describe a procedure for the expression of bacterial type III effectors in yeast and the identification of effector-induced growth inhibition phenotypes. Such phenotypes can be subsequently exploited to elucidate effector functions and targets.
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
Growth changes are interpreted as responses to genetic, environmental, or chemical perturbations rather than as isolated observations. By holding other conditions defined and comparing affected samples with appropriate controls, researchers can associate a difference in performance with the tested factor. This comparison supports investigation of gene function, stress responses, and pathway activity, depending on the experimental context.
The measured trait determines what kind of growth effect becomes visible. Growth rate captures change over time, whereas size, biomass, or colony formation describes other aspects of biological performance. Selecting and quantifying one or more of these traits allows screens to detect altered phenotypes in cells or organisms and compare the resulting patterns across conditions.
Mutations and compounds can produce distinguishable growth phenotypes, making screening useful for linking an observable outcome to a biological perturbation. A reduced or increased measurement does not stand alone; its meaning comes from comparison with the relevant control and the defined growth conditions. This framework helps prioritize factors that may influence cellular or organismal performance.
A typical workflow begins by growing cells or organisms under defined conditions, followed by quantitative measurement of a selected growth trait. Researchers then compare the values with appropriate controls to identify deviations in growth rate, size, biomass, or colony formation. The resulting comparison provides a structured basis for recognizing altered phenotypes rather than relying on qualitative impressions.
Growth Phenotype Screening supports several biological research areas because growth is a measurable outcome of cellular or organismal function. In genetics and functional genomics, altered performance can help investigate gene functions; in microbiology, it can reveal responses under defined conditions. Drug-discovery studies can use growth changes to identify compounds that affect biological performance.
Within biology, the approach is valuable for connecting a measurable growth outcome with a possible underlying mechanism. A phenotype associated with a mutation, environmental condition, or chemical treatment may provide evidence of altered pathway activity or a stress response. Researchers can therefore use comparative growth data to guide studies of how specific factors influence cells or organisms.