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Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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

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

Published on: November 12, 2012

Expanding TheCellMap.org to visualize a genome-scale genetic interaction network for a human cell line.

Ira Horecka^1,2, Matej Ušaj², Myra P D Masinas²

¹Department of Molecular Genetics, University of Toronto; Toronto ON, M5S 3E1, Canada.

Biorxiv : the Preprint Server for Biology

|March 27, 2026

Summary

TheCellMap.org now includes ~89,000 human genetic interactions from CRISPR screens. This resource allows researchers to explore gene networks and functional relationships in HAP1 cells.

Keywords:

Genetic interactions genetic interaction database human genetic network

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Last Updated: Mar 28, 2026

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

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

Published on: November 12, 2012

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

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Published on: November 3, 2023

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Area of Science:

Genomics
Systems Biology
Bioinformatics

Background:

Genetic interaction networks reveal gene functional relationships.
TheCellMap.org previously hosted yeast genetic interaction data.
Genome-scale genetic interaction data is crucial for understanding cellular pathways.

Purpose of the Study:

To expand TheCellMap.org with human genetic interaction data.
To provide a platform for exploring human gene networks.
To enable visualization and analysis of large-scale genetic interaction datasets.

Main Methods:

Genome-scale CRISPR-based screening was employed.
Analysis of ~4 million human gene pairs in HAP1 cells.
Development of interactive network visualization and sub-network extraction tools.

Main Results:

Incorporation of ~89,000 quantitative human genetic interactions.
TheCellMap.org now supports exploration of human HAP1 genetic interactions.
New features for data-driven network layouts and interactive exploration.

Conclusions:

The expanded TheCellMap.org is a valuable resource for human genetic interaction studies.
The platform facilitates the discovery of gene functions and pathways.
Interactive exploration of large genetic interaction networks is now more accessible.