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

You might also read

Related Articles

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

Sort by
Same author

Low-Temperature HILIC Provides Enhanced Separations and Stability for LC-MS-Based Metabolomics.

Journal of proteome research·2026
Same author

Functional nutrient-genetic profiling reveals biotin and FBXW7 are essential to bypass glutamine addiction.

Molecular cell·2026
Same author

Mitochondrial dysfunction drives natural killer cell dysfunction in systemic lupus erythematosus.

JCI insight·2026
Same author

Uridine-sensitized screening identifies demethoxy-coenzyme Q and NUDT5 as regulators of nucleotide synthesis.

Nature metabolism·2025
Same author

Mitochondrial genome copy number variation across tissues in mice and humans.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

An updated inventory of genes essential for oxidative phosphorylation identifies a mitochondrial origin in familial Ménière's disease.

Cell reports·2025

Related Experiment Video

Updated: Jul 30, 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

Dead-Seq: Discovering Synthetic Lethal Interactions from Dead Cells Genomics.

Joan Blanco-Fernandez1, Alexis A Jourdain2

  • 1Department of Immunobiology, University of Lausanne, Epalinges, Switzerland.

Methods in Molecular Biology (Clifton, N.J.)
|May 11, 2023
PubMed
Summary
This summary is machine-generated.

Dead-Seq is a new protocol that refines death screening for quantifying gene fitness defects. This method enables positive selection of dead cells in pooled genetic screens, improving the study of synthetic lethality and mitochondrial disorders.

Keywords:
Annexin VApoptosisAuxotrophyDrop-out screenGalactoseGenome-wide screeningMACSMetabolismMitochondriaMitochondrial translationNecroptosisORFeomeRNAiSynthetic lethalitySystems geneticssgRNAshRNA

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

492
MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data
07:17

MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data

Published on: February 7, 2025

547

Related Experiment Videos

Last Updated: Jul 30, 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

492
MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data
07:17

MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data

Published on: February 7, 2025

547

Area of Science:

  • Functional genomics
  • Genetic screening
  • Cellular biology

Background:

  • Quantifying gene fitness defects in pooled genetic screens, especially those leading to synthetic lethality, remains challenging.
  • Previous
  • death screening
  • methods identified genes crucial for mitochondrial function and oxidative phosphorylation (OXPHOS).

Purpose of the Study:

  • To introduce Dead-Seq, a refined protocol for death screening compatible with pooled genetic screens.
  • To enable accurate quantification of gene fitness defects and synthetic lethality.
  • To facilitate the diagnosis of mitochondrial disorders.

Main Methods:

  • Dead-Seq converts negative-selection screens into positive-selection screens by purifying dead cells.
  • The protocol is compatible with genome-wide CRISPR/Cas9 screening.
  • High-quality data is generated directly from dead cells.

Main Results:

  • Dead-Seq provides a robust method for analyzing gene fitness defects.
  • The protocol allows for cost-effective genetic screening with limited sequencing costs.
  • It enhances the identification of genes involved in essential cellular processes.

Conclusions:

  • Dead-Seq offers a significant advancement in functional genomics, particularly for studying genes that decrease fitness.
  • This refined death screening protocol expands the possibilities for diagnosing mitochondrial disorders.
  • Dead-Seq streamlines the analysis of pooled genetic screens, making it more accessible and cost-effective.