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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...

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...

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Related Experiment Video

Updated: Mar 15, 2026

Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification

Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification

Published on: November 28, 2016

Data Analysis for High-Throughput RNAi Screening.

David O Azorsa^1,2, Megan A Turnidge^3,4, Shilpi Arora⁵

¹Institute of Molecular Medicine, Phoenix Children's Hospital, Phoenix, AZ, USA. dazorsa@email.arizona.edu.

Methods in Molecular Biology (Clifton, N.J.)

|September 2, 2016

Summary

This summary is machine-generated.

High-throughput RNA interference (HT-RNAi) screening identifies key genes and pathways. This review summarizes common analysis workflows and methods for HT-RNAi screening data.

Keywords:

Data analysis Normalization RNAi screening

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Last Updated: Mar 15, 2026

Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification

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MISSION esiRNA for RNAi Screening in Mammalian Cells

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Genome-wide Analysis of HDAC Inhibitor-mediated Modulation of microRNAs and mRNAs in B Cells Induced to Undergo Class-switch DNA Recombination and Plasma Cell Differentiation

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Published on: September 20, 2017

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

High-throughput RNA interference (HT-RNAi) screening is a powerful technology for discovering genes and pathways critical to biological processes.
Effective analysis of the resulting large datasets is essential for successful gene function studies.

Purpose of the Study:

To provide a comprehensive summary of the analytical workflows and methodologies employed in high-throughput RNA interference screening.
To consolidate current knowledge on data analysis for researchers utilizing HT-RNAi technology.

Main Methods:

Review and synthesis of existing literature on high-throughput RNA interference screening data analysis.
Categorization of common analysis workflows and statistical approaches.

Main Results:

Identification of standard steps in HT-RNAi data processing, from quality control to hit identification.
Overview of diverse analytical strategies tailored to different experimental designs and biological questions.

Conclusions:

Standardized analysis protocols can enhance the reliability and reproducibility of HT-RNAi screening results.
Understanding various analysis methods empowers researchers to select the most appropriate approach for their specific biological investigations.