Rnai Phenotypic Scoring
Rnai Phenotypic Scoring - 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.
09:51
RNAi in C. elegans
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2023
RNA interference (RNAi) is a widely used technique in which double stranded RNA is exogenously introduced into an organism, causing knockdown of a target gene. In the nematode, C. elegans, RNAi is particularly easy and effective because it can be delivered simply by feeding the worms bacteria that express double stranded RNA (dsRNA) that is complementary to a gene of interest. First, this video will introduce the concept of RNA interference and explain how it causes targeted gene knockdown.
07:33
A Simple Composite Phenotype Scoring System for Evaluating Mouse Models of Cerebellar Ataxia
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Cited by 412 •
2010
We describe a protocol for the rapid and sensitive quantification of disease severity in mouse models of cerebellar ataxia. Measures include hind limb clasping, ledge test, gait and kyphosis. This protocol effectively discriminates between affected and non-affected individuals, and detects the progression of affected individuals over time.
06:49
A Quick Phenotypic Neurological Scoring System for Evaluating Disease Progression in the SOD1-G93A Mouse Model of ALS
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Cited by 120 •
2015
This video protocol describes a sensitive, reliable, and quick method for evaluating the neuromuscular deficits in a transgenic mouse model of amyotrophic lateral sclerosis.
07:56
Bacterial Delivery of RNAi Effectors: Transkingdom RNAi
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Cited by 18 •
2010
For development of RNA interference (RNAi)-based therapies, a novel strategy was developed, transkingdom RNAi (tkRNAi). This technology uses non-pathogenic bacteria to produce and deliver therapeutic short hairpin RNA (shRNA) into target cells. Here, tkRNAi was successfully applied for reversal of classical ABCB1-mediated multidrug resistance (MDR) of cancer cells.
FAQs
The key interpretive step is connecting a measured phenotype with reduced expression of the intended target rather than treating any change as proof of gene function. RNA interference lowers messenger RNA available for protein production, so scoring compares perturbed samples with appropriate controls. This helps determine whether altered shape, growth, survival, movement, or reporter activity is associated with the targeted gene.
The selected phenotype determines which biological consequence becomes measurable. Cell shape can reveal structural changes, growth and survival can indicate effects on cellular fitness, movement can expose altered behavior, and reporter activity can provide a signal linked to a specific biological process. Choosing an appropriate readout therefore helps align the screen with the function being investigated.
A targeted reduction in messenger RNA can change production of the corresponding protein, which may influence a broader cellular or organismal process. When the resulting phenotype is quantified, the effect provides evidence that the targeted gene contributes to that process. Comparing phenotypes across different gene perturbations can therefore help identify genes that function within the same biological pathway.
Interpretation depends on the biological system examined, the phenotype selected, and the way the outcome is quantified. Results may differ when scoring cells, tissues, or whole organisms because each provides a different level of biological observation. Appropriate controls are essential for judging whether changes in growth, movement, survival, shape, or reporter activity reflect the perturbation.
A typical workflow introduces double-stranded RNA or small interfering RNA to guide silencing of a selected messenger RNA, allows the biological system to respond, and then measures a defined phenotype. Researchers compare the resulting observations with appropriate controls and quantify the difference. The final comparison links gene perturbation to an observable biological outcome.
High-throughput scoring is useful when researchers need to examine many targeted gene perturbations using consistent phenotype measurements. By assessing changes such as cell growth, survival, shape, movement, or reporter activity across numerous samples, the approach can reveal candidate genes associated with a biological process. It supports systematic identification of gene functions and pathway components.
This approach can address how specific genes influence cellular, tissue-level, or organismal traits. It can help identify gene functions, distinguish components of biological pathways, and find perturbations associated with measurable changes. In biology research, the resulting phenotype patterns can also highlight potential therapeutic targets, although the scoring itself reports the relationship between silencing and the observed outcome.