Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101761
Title: Syn-lethality : an integrative knowledge base of synthetic lethality towards discovery of selective anticancer therapies
Authors: Li, Xue-juan
Mishra, Shital K.
Wu, Min
Zhang, Fan
Zheng, Jie
Keywords: DRNTU::Science::Medicine::Biomedical engineering
Issue Date: 2014
Source: Li, X.-j., Mishra, S. K., Wu, M., Zhang, F., & Zheng, J. (2014). Syn-Lethality: An Integrative Knowledge Base of Synthetic Lethality towards Discovery of Selective Anticancer Therapies. BioMed Research International, 2014, 196034-.
Series/Report no.: BioMed research international
Abstract: Synthetic lethality (SL) is a novel strategy for anticancer therapies, whereby mutations of two genes will kill a cell but mutation of a single gene will not. Therefore, a cancer-specific mutation combined with a drug-induced mutation, if they have SL interactions, will selectively kill cancer cells. While numerous SL interactions have been identified in yeast, only a few have been known in human. There is a pressing need to systematically discover and understand SL interactions specific to human cancer. In this paper, we present Syn-Lethality, the first integrative knowledge base of SL that is dedicated to human cancer. It integrates experimentally discovered and verified human SL gene pairs into a network, associated with annotations of gene function, pathway, and molecular mechanisms. It also includes yeast SL genes from high-throughput screenings which are mapped to orthologous human genes. Such an integrative knowledge base, organized as a relational database with user interface for searching and network visualization, will greatly expedite the discovery of novel anticancer drug targets based on synthetic lethality interactions. The database can be downloaded as a stand-alone Java application.
URI: https://hdl.handle.net/10356/101761
http://hdl.handle.net/10220/19741
ISSN: 2314-6133
DOI: 10.1155/2014/196034
Rights: © 2014 Xue-juan Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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