Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Experimental RNAi02:15

Experimental RNAi

6.5K
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...
6.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

<i>RBX1</i> loss sensitizes tubo-ovarian, high-grade serous ovarian cells to CDK2 inhibition by SNS-032.

Frontiers in cell and developmental biology·2026
Same author

<i>CHEK1</i> is a synthetic lethal interactor of <i>FBXO7</i> in colonic epithelial cells.

Molecular therapy. Oncology·2025
Same author

Loss of EMI1 compromises chromosome stability and is associated with cellular transformation in colonic epithelial cell contexts.

British journal of cancer·2024
Same author

Evaluating Chromosome Instability and Genotoxicity Through Single Cell Quantitative Imaging Microscopy.

Methods in molecular biology (Clifton, N.J.)·2024
Same author

PROTACs: Current and Future Potential as a Precision Medicine Strategy to Combat Cancer.

Molecular cancer therapeutics·2024
Same author

Survey of NF1 inactivation by surrogate immunohistochemistry in ovarian carcinomas.

Gynecologic oncology·2023

Related Experiment Video

Updated: Oct 18, 2025

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

4.3K

Exploring Candidate Human Synthetic Lethal Interactions Through siRNA and Quantitative Imaging-Based Approaches.

Lucile M Jeusset1,2, Kirk J McManus3,4

  • 1CancerCare Manitoba Research Institute, CancerCare Manitoba, Winnipeg, MB, Canada.

Methods in Molecular Biology (Clifton, N.J.)
|September 30, 2021
PubMed
Summary

This study presents a guide for identifying synthetic lethal (SL) interactions, crucial for understanding cellular processes and discovering new cancer drug targets. It details methods for screening and validating SL interactions to accelerate therapeutic development.

Keywords:
Drug target discoveryNegative genetic interactionsSynthetic lethal screenSynthetic lethalitySynthetic sicknesssiRNA screen

More Related Videos

Dual CRISPR-Interference Strategy for Targeting Synthetic Lethal Interactions Between Non-Coding RNAs in Cancer Cells
07:23

Dual CRISPR-Interference Strategy for Targeting Synthetic Lethal Interactions Between Non-Coding RNAs in Cancer Cells

Published on: May 30, 2025

759
Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy
08:51

Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy

Published on: April 3, 2018

9.2K

Related Experiment Videos

Last Updated: Oct 18, 2025

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

4.3K
Dual CRISPR-Interference Strategy for Targeting Synthetic Lethal Interactions Between Non-Coding RNAs in Cancer Cells
07:23

Dual CRISPR-Interference Strategy for Targeting Synthetic Lethal Interactions Between Non-Coding RNAs in Cancer Cells

Published on: May 30, 2025

759
Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy
08:51

Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy

Published on: April 3, 2018

9.2K

Area of Science:

  • Genetics and Genomics
  • Cancer Biology
  • Drug Discovery

Background:

  • Synthetic lethal (SL) interactions offer insights into protein function and cellular pathways.
  • SL interactions are valuable for identifying novel cancer therapeutic targets.
  • Current high-throughput methods struggle to assess all human gene pairs (~200 million).

Purpose of the Study:

  • To provide a practical guide for screening and validating focused libraries of candidate SL interactions.
  • To expedite the discovery of bona fide human SL interactions.
  • To facilitate hypothesis-driven approaches for prioritizing SL interactions.

Main Methods:

  • Describes two siRNA and image-based screening protocols for rapid assessment of candidate SL interactions.
  • Outlines methods for validating promising SL interactions identified through screening.
  • Utilizes commercially available reagents and standard laboratory equipment.

Main Results:

  • The described protocols enable rapid assessment of candidate SL interactions.
  • Validation methods confirm the identified SL interactions.
  • The approach facilitates the identification of bona fide human SL interactions.

Conclusions:

  • Focused screening and validation of SL interactions accelerate the discovery of novel therapeutic targets.
  • This guide provides accessible methods for researchers to identify SL interactions.
  • The findings contribute to the development of innovative cancer therapeutic strategies.