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Experimental RNAi

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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...

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Related Experiment Video

Updated: Jul 19, 2026

Mouse Genome Engineering Using Designer Nucleases

Mouse Genome Engineering Using Designer Nucleases

Published on: April 2, 2014

dsRNAEngineer: a web-based tool of comprehensive dsRNA design for pest control.

Yang Chen¹, Yufei Shi¹, Ziguo Wang¹

¹Key Laboratory of Entomology and Pest Control Engineering, College of Plant Protection, Southwest University, Chongqing, China; Key Laboratory of Agricultural Biosafety and Green Production of Upper Yangtze River (Ministry of Education), Southwest University, Chongqing, China.

Trends in Biotechnology

|February 9, 2025

Summary

New dsRNA design software improves pest control by analyzing entire transcriptomes for precise, efficient targeting. This approach enhances the development of environmentally friendly pesticides with reduced off-target effects.

Keywords:

RNA pesticides RNAi-based pest control biosafety off-target effects

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Last Updated: Jul 19, 2026

Mouse Genome Engineering Using Designer Nucleases

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Published on: April 2, 2014

Application of RNA Interference in the Pinewood Nematode, Bursaphelenchus xylophilus

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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

Area of Science:

Agricultural Science
Molecular Biology
Bioinformatics

Background:

Double-stranded RNA (dsRNA) is used to silence genes in pests for functional studies and pesticide development.
Current dsRNA design methods focus on single gene sequences, leading to inefficiency and imprecise targeting.
Environmentally friendly pesticides derived from dsRNA require precise in silico design to target pests specifically.

Purpose of the Study:

To develop a comprehensive and rational platform for designing dsRNA molecules.
To improve the efficiency and precision of dsRNA design for pest control.
To ensure dsRNA pesticides target pests while minimizing effects on non-pest organisms.

Main Methods:

Created the dsRNAEngineer online platform (https://dsrna-engineer.cn).
Incorporated hundreds of pest and non-pest transcriptomes for comprehensive analysis.
Developed functionalities for target screening, on-target, off-target, and multi-target analysis.

Main Results:

The platform enables comprehensive analysis of whole transcriptomes for dsRNA design.
Functionalities allow for screening conserved genes, cotargeting multiple pest species, and assessing off-target effects.
Facilitates the generation of optimal dsRNA molecules for precise pest control.

Conclusions:

dsRNAEngineer addresses limitations of current dsRNA design methods.
The platform supports rational and comprehensive dsRNA design for effective pest management.
Enables the development of more precise and environmentally friendly dsRNA-based pesticides.