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Experimental RNAi

Experimental RNAi

RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...

RNA Interference

RNA Interference

RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...

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Related Experiment Video

Updated: Mar 28, 2026

In Vitro Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing

In Vitro Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing

Published on: May 5, 2023

OfftargetFinder: a web tool for species-specific RNAi design.

R T Good¹, T Varghese², J F Golz³

¹The Bio21 Institute School of Biosciences, The University of Melbourne, Melbourne 3010, Australia.

Bioinformatics (Oxford, England)

|December 26, 2015

Summary

A new web tool helps identify pest-specific RNA interference (RNAi) sequences for insect control. This enhances RNAi technology specificity and aids in non-target species risk assessment.

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Area of Science:

Bioinformatics
Entomology
Molecular Biology

Background:

RNA interference (RNAi) is a promising technology for targeted pest insect control.
Maximizing the specificity of RNAi sequences is crucial for efficacy and safety.
Arthropod transcriptome databases are expanding rapidly, offering vast genetic information.

Purpose of the Study:

To develop a bioinformatic web tool for identifying pest-specific RNAi sequences.
To aid in the design of effective and specific RNAi agents for insect control.
To assist in the selection of non-target species for risk assessment.

Main Methods:

Development of a web-based tool utilizing bioinformatic approaches.
Searching and analyzing arthropod transcriptome databases.
Identifying sequences specific to target pest insects.

Main Results:

The tool successfully identifies pest-specific RNAi sequences from large databases.
Facilitates the design of more precise RNAi sequences.
Provides data to inform non-target species selection for risk assessments.

Conclusions:

The developed bioinformatic tool enhances the specificity of RNAi technology for pest control.
This resource supports the development of safer and more effective pest management strategies.
It aids researchers in navigating complex genomic data for targeted applications.