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Updated: Mar 18, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
Published on: November 3, 2023
A systematic mammalian genetic interaction map reveals pathways underlying ricin susceptibility
Michael C Bassik1, Martin Kampmann, Robert Jan Lebbink
1Department of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research and Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94122, USA. bassik@cmp.ucsf.edu
This study introduces a new method for creating detailed genetic interaction (GI) maps in mammalian cells. These maps help understand gene function and identify potential synergistic drug combinations for therapies.
Area of Science:
- Genetics
- Molecular Biology
- Systems Biology
Background:
- Genetic interaction (GI) maps systematically explore gene function by measuring dependencies between genes.
- Previous GI map construction was limited, especially in mammalian systems.
- Understanding gene function is crucial for biological research and therapeutic development.
Purpose of the Study:
- To develop a high-density genetic interaction mapping strategy for mammalian cells.
- To identify novel gene functions and pathways using GI maps.
- To explore the potential of GI maps for therapeutic applications.
Main Methods:
- A two-stage approach using ultracomplex pooled shRNA libraries (25 shRNAs/gene).
- Identification of high-confidence hit genes and effective shRNAs for specific phenotypes.
- Systematic measurement of genetic interactions (GIs) by constructing double-shRNA libraries.
Main Results:
- Construction of high-density GI maps in mammalian cells.
- Recapitulation of known pathways and discovery of novel insights, including a noncanonical role for COPI.
- Identification of a specialized role for RPS25 and distinct mammalian TRAPP complexes.
- Demonstration of a GI map focused on ricin susceptibility.
Conclusions:
- The developed strategy enables rapid generation of mammalian GI maps.
- GI maps are a powerful tool for defining gene function.
- This approach can inform the design of combination therapies based on synergistic gene pairs.
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