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

Lethal Alleles02:41

Lethal Alleles

15.5K
Agouti: A Lethal Allele
Lucien Cuénot discovered lethal alleles in 1905 while studying the inheritance of coat color in mice. The agouti gene is responsible for the color of the coat in mice. This gene codes for an agouti-signaling protein, which is responsible for melanin distribution in mammals. The wild-type allele gives rise to gray-brown coat color in mice, while the mutant allele gives rise to yellow coat color. In addition to coat color, the agouti gene is associated with the yellow...
15.5K
In-vitro Mutagenesis01:16

In-vitro Mutagenesis

14.0K
To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
14.0K
Cytotoxic T Cells-mediated Immune Response01:27

Cytotoxic T Cells-mediated Immune Response

933
Cytotoxic T cells are a vital component of the immune system. They have the remarkable ability to identify and target antigens on infected or abnormal cells. These antigens often originate from intracellular pathogens such as viruses or abnormal proteins cancer cells produce.
Immunological surveillance is the ability of immune cells to monitor and eliminate infected cells with intracellular pathogens, neoplastically transformed cells, and cells with non-self antigens. Cytotoxic T cells and NK...
933
Mutagenicity and Carcinogenicity01:25

Mutagenicity and Carcinogenicity

1.3K
Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Clustering-based stratification of fibromyalgia subtypes: A comparative analysis of medicated and non-medicated cohorts from two academic centers.

Seminars in arthritis and rheumatism·2026
Same author

Novel strategies to overcome the blood-brain barrier in triple-negative breast cancer brain metastases.

The Lancet. Oncology·2026
Same author

Effects of Two Tempering Treatments at Different Temperatures on Microstructure and Room/High-Temperature Wear Resistance of H13 Steel.

Materials (Basel, Switzerland)·2026
Same author

Point-of-care Diagnostic Framework for Fibromyalgia Using Integrated Vibrational Spectroscopy and Metabolomics.

Research square·2026
Same author

Boosting Natural Rubber Performance by Backbone Rigid Functionalization.

Angewandte Chemie (International ed. in English)·2026
Same author

Depression, pain, and functional impairment across fibromyalgia, rheumatoid arthritis, and systemic lupus erythematosus: A cross-condition analysis and mediation model.

Journal of psychosomatic research·2026
Same journal

Correction to 'New origin firing is inhibited by APC/CCdh1 activation in S-phase after severe replication stress'.

Nucleic acids research·2026
Same journal

VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.

Nucleic acids research·2026
Same journal

Accessibility of telomeric overhangs to stabilizing small-molecule ligands.

Nucleic acids research·2026
Same journal

Multivalent interactions mediate SNAIL transcription factor stimulation of the nucleosome deacetylase activity of the CoREST complex.

Nucleic acids research·2026
Same journal

Genome-wide mapping of DNA G-quadruplexes in Trypanosoma brucei chromatin reveals enrichment in coding regions and transcription start sites.

Nucleic acids research·2026
Same journal

Correction to 'The Gene Ontology knowledgebase in 2026'.

Nucleic acids research·2026
See all related articles

Related Experiment Video

Updated: Jul 12, 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

4.2K

SLKB: synthetic lethality knowledge base.

Birkan Gökbağ1, Shan Tang2, Kunjie Fan1

  • 1Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.

Nucleic Acids Research
|October 27, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces the Synthetic Lethality Knowledge Base (SLKB), integrating CRISPR-Cas9 data from 11 experiments. SLKB standardizes synthetic lethality (SL) scoring methods, enabling better analysis of gene interactions.

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

360
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.5K

Related Experiment Videos

Last Updated: Jul 12, 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

4.2K
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

360
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.5K

Area of Science:

  • Genomics
  • Computational Biology
  • Systems Biology

Background:

  • CRISPR-Cas9 technology enables large-scale synthetic lethality (SL) screening.
  • Current databases lack integrated and annotated combinatorial double knockout (CDKO) SL data.
  • Diverse SL scoring methods hinder data comparison and utility.

Purpose of the Study:

  • To develop a comprehensive Synthetic Lethality Knowledge Base (SLKB).
  • To integrate and standardize data from multiple CDKO SL screening experiments.
  • To facilitate the comparison and analysis of different SL scoring methods.

Main Methods:

  • Incorporated data from 11 CDKO experiments across 22 cell lines.
  • Compiled 16,059 SL gene pairs and 264,424 non-SL gene pairs.
  • Implemented five distinct SL scoring algorithms: Median (B/NB), sgRNA (B/NB), Horlbeck, GEMINI, and MAGeCK.

Main Results:

  • The SLKB contains extensive curated SL and non-SL gene pair data.
  • Analysis revealed significant diversity among the top SL gene pairs identified by different scoring methods (1.21% overlap).
  • SLKB enables visualization of SL networks, highlighting increased connectivity for SL pairs and shared hub genes between cell lines.

Conclusions:

  • SLKB addresses limitations in current SL data integration and annotation.
  • The developed resource provides a standardized platform for analyzing synthetic lethality.
  • SLKB facilitates deeper insights into gene interactions and potential therapeutic targets through network analysis.