57
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      An Evolutionarily Conserved Synthetic Lethal Interaction Network Identifies FEN1 as a Broad-Spectrum Target for Anticancer Therapeutic Development

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Harnessing genetic differences between cancerous and noncancerous cells offers a strategy for the development of new therapies. Extrapolating from yeast genetic interaction data, we used cultured human cells and siRNA to construct and evaluate a synthetic lethal interaction network comprised of chromosome instability (CIN) genes that are frequently mutated in colorectal cancer. A small number of genes in this network were found to have synthetic lethal interactions with a large number of cancer CIN genes; these genes are thus attractive targets for anticancer therapeutic development. The protein product of one highly connected gene, the flap endonuclease FEN1, was used as a target for small-molecule inhibitor screening using a newly developed fluorescence-based assay for enzyme activity. Thirteen initial hits identified through in vitro biochemical screening were tested in cells, and it was found that two compounds could selectively inhibit the proliferation of cultured cancer cells carrying inactivating mutations in CDC4, a gene frequently mutated in a variety of cancers. Inhibition of flap endonuclease activity was also found to recapitulate a genetic interaction between FEN1 and MRE11A, another gene frequently mutated in colorectal cancers, and to lead to increased endogenous DNA damage. These chemical-genetic interactions in mammalian cells validate evolutionarily conserved synthetic lethal interactions and demonstrate that a cross-species candidate gene approach is successful in identifying small-molecule inhibitors that prove effective in a cell-based cancer model.

          Author Summary

          Anticancer therapeutic discovery is a major challenge in cancer research. Because cancer is a disease caused by somatic genetic mutations, the search for anticancer therapeutics is often driven by the ability to exploit genetic differences specific to tumor cells. Recently, cancer therapeutic development has sought to exploit synthetic lethality, a situation in which the combination of two independently viable mutations results in lethality. If a compound can be found to selectively kill a specific genotype via inhibition of a specific gene product, this is known as a chemical-genetic interaction, and it mimics a synthetic lethal genetic interaction. The ideal therapeutic would be broad spectrum, that is, active against multiple cancer genotypes within a tumor type and/or across a variety of cancers. We have developed an approach, taking advantage of the evolutionary conservation of synthetic lethal interactions, to identify “second-site” targets in cancer: genes whose chemical inhibition leads to selective killing of tumor cells across a broad spectrum of cancer genotypes. We identified small-molecule inhibitors of one such target, FEN1, and showed that these compounds were able to selectively kill human cells carrying cancer-relevant mutations. This approach will facilitate the development of anticancer therapeutics active against a variety of cancer genotypes.

          Related collections

          Most cited references47

          • Record: found
          • Abstract: found
          • Article: not found

          The genetic landscape of a cell.

          A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for synthetic genetic interactions, generating quantitative genetic interaction profiles for approximately 75% of all genes in the budding yeast, Saccharomyces cerevisiae. A network based on genetic interaction profiles reveals a functional map of the cell in which genes of similar biological processes cluster together in coherent subsets, and highly correlated profiles delineate specific pathways to define gene function. The global network identifies functional cross-connections between all bioprocesses, mapping a cellular wiring diagram of pleiotropy. Genetic interaction degree correlated with a number of different gene attributes, which may be informative about genetic network hubs in other organisms. We also demonstrate that extensive and unbiased mapping of the genetic landscape provides a key for interpretation of chemical-genetic interactions and drug target identification.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Efficient design and assembly of custom TALEN and other TAL effector-based constructs for DNA targeting

            TALENs are important new tools for genome engineering. Fusions of transcription activator-like (TAL) effectors of plant pathogenic Xanthomonas spp. to the FokI nuclease, TALENs bind and cleave DNA in pairs. Binding specificity is determined by customizable arrays of polymorphic amino acid repeats in the TAL effectors. We present a method and reagents for efficiently assembling TALEN constructs with custom repeat arrays. We also describe design guidelines based on naturally occurring TAL effectors and their binding sites. Using software that applies these guidelines, in nine genes from plants, animals and protists, we found candidate cleavage sites on average every 35 bp. Each of 15 sites selected from this set was cleaved in a yeast-based assay with TALEN pairs constructed with our reagents. We used two of the TALEN pairs to mutate HPRT1 in human cells and ADH1 in Arabidopsis thaliana protoplasts. Our reagents include a plasmid construct for making custom TAL effectors and one for TAL effector fusions to additional proteins of interest. Using the former, we constructed de novo a functional analog of AvrHah1 of Xanthomonas gardneri. The complete plasmid set is available through the non-profit repository AddGene and a web-based version of our software is freely accessible online.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Cleavage of poly(ADP-ribose) polymerase by a proteinase with properties like ICE.

              Recent studies suggest that proteases of the interleukin 1-beta-converting enzyme (ICE)/ced-3 family are involved in initiating the active phase of apoptosis. Here we identify a novel protease resembling ICE (prICE) that is active in a cell-free system that reproduces the morphological and biochemical events of apoptosis. prICE cleaves the nuclear enzyme poly(ADP-ribose) polymerase (PARP) at a tetrapeptide sequence identical to one of two ICE sites in pro-interleukin-1-beta. However, prICE does not cleave purified pro-interleukin-1-beta, and purified ICE does not cleave PARP, indicating that the two activities are distinct. Inhibition of prICE abolishes all manifestations of apoptosis in the extracts including morphological changes, cleavage of PARP and production of an oligonucleosomal ladder. These studies suggest that prICE might be pivotal in initiating the active phase of apoptosis in vitro and in intact cells.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                January 2013
                January 2013
                31 January 2013
                : 9
                : 1
                : e1003254
                Affiliations
                [1 ]Michael Smith Laboratories, University of British Columbia, Vancouver, Canada
                [2 ]Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, Canada
                [3 ]Department of Screening, Centre for Drug Research and Development, Vancouver, Canada
                [4 ]Manitoba Institute of Cell Biology, Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Canada
                University of Washington, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: DMvP IJB YS BVS BJG TP KJM PH. Performed the experiments: DMvP IJB YS BVS BJG KJM. Analyzed the data: DMvP IJB YS BVS BJG TP KJM PH. Contributed reagents/materials/analysis tools: DMvP TP KJM PH. Wrote the paper: DMvP IJB BVS BJG TP KJM PH.

                Article
                PGENETICS-D-12-02321
                10.1371/journal.pgen.1003254
                3561056
                23382697
                4ab7675e-190f-4b04-bfcc-452e6b77f694
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 September 2012
                : 4 December 2012
                Page count
                Pages: 11
                Funding
                DMvP acknowledges scholarships from the Natural Sciences and Engineering Research Council ( http://www.nserc-crsng.gc.ca/index_eng.asp), the Michael Smith Foundation for Health Research ( http://www.msfhr.org/), and the University of British Columbia ( www.ubc.ca). BVS acknowledges a fellowship from CancerCare Manitoba ( http://www.cancercare.mb.ca/). BJG acknowledges scholarships from CancerCare Manitoba ( http://www.cancercare.mb.ca/) and the University of Manitoba ( http://umanitoba.ca/). KJM is a Canadian Institutes of Health Research/Manitoba Health Research Council New Investigator ( http://www.mhrc.mb.ca/programs/regionalPartnership.asp). This work was funded by grants from the Canadian Institutes of Health Research ( http://www.cihr-irsc.gc.ca/e/193.html) to KJM (MOP115179) and PH (MOP38096). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Biochemistry
                Enzymes
                Enzyme Classes
                Nuclease
                Nucleic Acids
                DNA
                DNA metabolism
                DNA modification
                DNA repair
                DNA replication
                Chemical Biology
                Genetics
                Human Genetics
                Chromosomal Disorders
                Aneuploidy
                Chromosomal Deletions and Duplications
                Cancer Genetics
                Genetic Screens
                Genomics
                Genome Analysis Tools
                Genetic Networks
                Genetic Screens
                Genome Databases
                Mutation Databases
                Chromosome Biology
                Pharmacogenomics
                Model Organisms
                Yeast and Fungal Models
                Saccharomyces Cerevisiae
                Molecular Cell Biology
                Chromosome Biology
                Chemistry
                Medicine
                Clinical Genetics
                Personalized Medicine
                Drugs and Devices
                Drug Research and Development
                Drug Discovery

                Genetics
                Genetics

                Comments

                Comment on this article