Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Synthetic Biology

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...

Microbial Classification System

Microbial Classification System

Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...

Chemical Agents for Microbial Control

Chemical Agents for Microbial Control

Chemicals play important roles in controlling microbial growth by targeting microbial structures and functions as sanitizers, antiseptics, disinfectants, and sterilants.Alcohols are commonly used sanitizers, effectively disrupting lipid membranes, which compromises cell integrity. They are also used as antiseptics and disinfectants due to their rapid action and versatility.Phenols and their derivatives phenolics , known for denaturing proteins and disrupting cell membranes, are particularly...

You might also read

Related Articles

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

Sort by

Same author

EssTFNet: integration of adaptive time-frequency and DNA language models for interpretable human essential gene prediction.

Briefings in bioinformatics·2026

Same author

<i>ADAMTS9-AS2</i> acts as an epigenetic brake to constrain DNMT3B-mediated <i>CADM2</i> silencing in esophageal squamous cell carcinoma metastasis.

Frontiers in immunology·2026

Same author

Molecular mechanism of action of small molecule SMT-738 on bacterial lipoprotein transporter LolCDE.

Nature communications·2026

Same author

Machine Learning-based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures.

IET systems biology·2026

Same author

Infrared spectroscopy simultaneously combined with strong magnetic field, high pressure, and low temperature.

The Review of scientific instruments·2025

Same author

An artificial intelligence-based approach for identifying the proteins regulating liquid-liquid phase separation.

Briefings in bioinformatics·2025

Search research articles

Related Experiment Video

Updated: Jul 27, 2025

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

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

Published on: May 27, 2021

Mslar: Microbial synthetic lethal and rescue database.

Sen-Bin Zhu^1,2, Qian-Hu Jiang¹, Zhi-Guo Chen¹

¹School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.

Plos Computational Biology

|June 8, 2023

Summary

Synthetic lethality (SL) and synthetic rescue (SR) gene pairs are crucial for understanding microbial genetics. We developed the Microbial Synthetic Lethal and Rescue Database (Mslar) to catalog these interactions, aiding researchers.

More Related Videos

Application of CRISPR Interference CRISPRi for Gene Silencing in Pathogenic Species of Leptospira

Application of CRISPR Interference CRISPRi for Gene Silencing in Pathogenic Species of Leptospira

Published on: August 14, 2021

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

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

Published on: May 30, 2025

Related Experiment Videos

Last Updated: Jul 27, 2025

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

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

Published on: May 27, 2021

Application of CRISPR Interference CRISPRi for Gene Silencing in Pathogenic Species of Leptospira

Application of CRISPR Interference CRISPRi for Gene Silencing in Pathogenic Species of Leptospira

Published on: August 14, 2021

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

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

Published on: May 30, 2025

Area of Science:

Microbial genetics
Systems biology
Genomics

Background:

Synthetic lethality (SL) is a genetic interaction where mutations in two genes cause cell death, but not a single mutation.
Existing methods for predicting SL gene pairs are primarily focused on model organisms like yeast and E. coli.
A centralized resource for microbial SL and synthetic rescue (SR) gene pairs is lacking.

Approach:

Developed the Microbial Synthetic Lethal and Rescue Database (Mslar) to curate literature-reported and computationally predicted SL/SR gene pairs.
Collected 13,313 literature-reported SL and 2,994 SR gene pairs.
Identified 86,981 putative SL pairs across 281 bacterial genomes using homologous transfer.

Key Points:

The Mslar database provides comprehensive data on microbial SL and SR gene pairs.
The website offers search, browse, visualization, and BLAST functionalities for data exploration.
Analysis of S. cerevisiae data revealed similar essentiality ratios for duplicated genes and singletons in the context of SL.

Conclusions:

Mslar serves as a valuable reference for microbial genetics research.
The database facilitates the study of synthetic lethality and rescue interactions in microorganisms.
Mslar is freely accessible online for the research community.