The CRISPR JournalSystems BiologyPeer-reviewed journal article
CRISPR-based editing reveals edge-specific effects in biological networks
Yi LiiD, Chance M. Nowak, Daniel Withers, Alexander PertsemlidisiD, Leonidas G. BlerisiD
Abstract
Unraveling the properties of biological networks is central to understanding normal and disease cellular phenotypes. Networks consist of functional elements (nodes) that form a variety of diverse connections (edges) with each node being a hub for multiple edges. Herein, in contrast to node-centric network perturbation and analysis approaches, we present a high-throughput CRISPR-based methodology for delineating the role of network edges. Ablation of network edges using a library targeting 93 miRNA target sites in 71 genes reveals numerous edges that control, with variable importance, cellular survival under stress. To compare the impact of removing nodes versus edges in a biological network, we dissect a specific p53-microRNA pathway. In summary, we demonstrate that network edges are critical to the function and stability of biological networks. Our results introduce a novel genetic screening opportunity via edge ablation and highlight a new dimension in biological network analysis.
- research focus: perturbation response prediction
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 14
- FWCI
- 0.45
- Field percentile
- top 46%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Generating Ensembles of Gene Regulatory Networks to Assess Robustness of Disease Modules
James T. Lim, Chen Chen, … Megha Padi·Frontiers in GeneticsPeer-reviewed·Jan 14, 2021
- Optimal construction of a functional interaction network from pooled library CRISPR fitness screens
Veronica Gheorghe, Traver Hart·BMC BioinformaticsPeer-reviewed·Nov 28, 2022
- Reachability-Preserving Minimum Edge Cut Problem and Applications in Biology
- Interaction paths promote spliceosome module integration and network-level robustness to cascading effects
Paulo R. Guimarães, Mathias Mistretta Pires, … Patrícia P. Coltri·Scientific ReportsPeer-reviewed·Nov 22, 2018
- Efficient randomization of biological networks while preserving functional characterization of individual nodes
Francesco Iorio, Martí Bernardo-Faura, … Julio Sáez-Rodríguez·BMC BioinformaticsPeer-reviewed·Dec 20, 2016
- Application of Modular Response Analysis to Medium- to Large-Size Biological Systems
Meriem Mekedem, Patrice Ravel, Jacques Colinge·PLoS Computational BiologyPeer-reviewed·Apr 20, 2022