Context-dependent genetic interactions in cancer
- PMID: 31026747
- DOI: 10.1016/j.gde.2019.03.004
Context-dependent genetic interactions in cancer
Abstract
Genetic co-dependencies have been found in many contexts, from processes during the development of organisms to many diseases in man, including cancer. Genetic interactions - and in particular synthetic lethal phenotypes - have provided fundamental insights into the genetic architecture of cells and identified potential new opportunities for therapeutic interventions. However, recent studies also demonstrated that genetic interactions are highly context dependent and synthetic lethal interactions in one tumor context might not be translatable to others. Therefore, to better define and understand contexts will be a key challenge for future studies to fully exploit genetic interaction networks for target identification and cancer therapy. In this review, we summarize recent developments in mapping context-specific genetic interaction networks with a particular focus on conceptual and experimental advances in the past years. We then discuss genetic and environmental contexts that influence genetic interaction networks. Finally, we outline challenges of putting genetic interaction networks into context and give an outlook on future directions.
Copyright © 2019 Elsevier Ltd. All rights reserved.
Similar articles
-
Genetic interaction networks in cancer cells.Curr Opin Genet Dev. 2019 Feb;54:64-72. doi: 10.1016/j.gde.2019.03.002. Epub 2019 Apr 8. Curr Opin Genet Dev. 2019. PMID: 30974317 Free PMC article. Review.
-
Employing Cross-Species Approaches to Construct Humanized Genetic Interaction Networks.Methods Mol Biol. 2021;2381:115-133. doi: 10.1007/978-1-0716-1740-3_6. Methods Mol Biol. 2021. PMID: 34590273
-
Widespread Rewiring of Genetic Networks upon Cancer Signaling Pathway Activation.Cell Syst. 2018 Jan 24;6(1):52-64.e4. doi: 10.1016/j.cels.2017.10.015. Epub 2017 Nov 30. Cell Syst. 2018. PMID: 29199019 Free PMC article.
-
Large-scale datasets uncovering cell signalling networks in cancer: context matters.Curr Opin Genet Dev. 2019 Feb;54:118-124. doi: 10.1016/j.gde.2019.05.001. Epub 2019 Jun 11. Curr Opin Genet Dev. 2019. PMID: 31200172 Review.
-
Systems-level approaches for identifying and analyzing genetic interaction networks in Escherichia coli and extensions to other prokaryotes.Mol Biosyst. 2009 Dec;5(12):1439-55. doi: 10.1039/B907407d. Epub 2009 Jul 31. Mol Biosyst. 2009. PMID: 19763343 Review.
Cited by
-
Multi-Omic Analysis of CIC's Functional Networks Reveals Novel Interaction Partners and a Potential Role in Mitotic Fidelity.Cancers (Basel). 2023 May 17;15(10):2805. doi: 10.3390/cancers15102805. Cancers (Basel). 2023. PMID: 37345142 Free PMC article.
-
Sparse dictionary learning recovers pleiotropy from human cell fitness screens.Cell Syst. 2022 Apr 20;13(4):286-303.e10. doi: 10.1016/j.cels.2021.12.005. Epub 2022 Jan 31. Cell Syst. 2022. PMID: 35085500 Free PMC article.
-
Uncoupling Traditional Functionalities of Metastasis: The Parting of Ways with Real-Time Assays.J Clin Med. 2019 Jun 28;8(7):941. doi: 10.3390/jcm8070941. J Clin Med. 2019. PMID: 31261795 Free PMC article. Review.
-
New Insights Into the Role of Phenotypic Plasticity and EMT in Driving Cancer Progression.Front Mol Biosci. 2020 Apr 23;7:71. doi: 10.3389/fmolb.2020.00071. eCollection 2020. Front Mol Biosci. 2020. PMID: 32391381 Free PMC article. Review.
-
High dimensional model representation of log-likelihood ratio: binary classification with expression data.BMC Bioinformatics. 2020 Apr 25;21(1):156. doi: 10.1186/s12859-020-3486-x. BMC Bioinformatics. 2020. PMID: 32334509 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous
