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      Imipridone Anticancer Compounds Ectopically Activate the ClpP Protease and Represent a New Scaffold for Antibiotic Development

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          Abstract

          The imipridones ONC201 and ONC212 selectively kill cancer cells and have been ascribed multiple mechanisms-of-action. Genome-wide CRISPR knockout screens revealed that loss of the mitochondrial proteases CLPP and MIPEP confer strong resistance to both compounds...

          Abstract

          Systematic genetic interaction profiles can reveal the mechanisms-of-action of bioactive compounds. The imipridone ONC201, which is currently in cancer clinical trials, has been ascribed a variety of different targets. To investigate the genetic dependencies of imipridone action, we screened a genome-wide clustered regularly interspaced short palindromic repeats (CRISPR) knockout library in the presence of either ONC201 or its more potent analog ONC212. Loss of the mitochondrial matrix protease CLPP or the mitochondrial intermediate peptidase MIPEP conferred strong resistance to both compounds. Biochemical and surrogate genetic assays showed that impridones directly activate CLPP and that MIPEP is necessary for proteolytic maturation of CLPP into a catalytically competent form. Quantitative proteomic analysis of cells treated with ONC212 revealed degradation of many mitochondrial as well as nonmitochondrial proteins. Prompted by the conservation of ClpP from bacteria to humans, we found that the imipridones also activate ClpP from Escherichia coli, Bacillus subtilis, and Staphylococcus aureus in biochemical and genetic assays. ONC212 and acyldepsipeptide-4 (ADEP4), a known activator of bacterial ClpP, caused similar proteome-wide degradation profiles in S. aureus. ONC212 suppressed the proliferation of a number of Gram-positive ( S. aureus, B. subtilis, and Enterococcus faecium) and Gram-negative species ( E. coli and Neisseria gonorrhoeae). Moreover, ONC212 enhanced the ability of rifampin to eradicate antibiotic-tolerant S. aureus persister cells. These results reveal the genetic dependencies of imipridone action in human cells and identify the imipridone scaffold as a new entry point for antibiotic development.

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          Mitochondria and Cancer.

          Decades ago, Otto Warburg observed that cancers ferment glucose in the presence of oxygen, suggesting that defects in mitochondrial respiration may be the underlying cause of cancer. We now know that the genetic events that drive aberrant cancer cell proliferation also alter biochemical metabolism, including promoting aerobic glycolysis, but do not typically impair mitochondrial function. Mitochondria supply energy; provide building blocks for new cells; and control redox homeostasis, oncogenic signaling, innate immunity, and apoptosis. Indeed, mitochondrial biogenesis and quality control are often upregulated in cancers. While some cancers have mutations in nuclear-encoded mitochondrial tricarboxylic acid (TCA) cycle enzymes that produce oncogenic metabolites, there is negative selection for pathogenic mitochondrial genome mutations. Eliminating mtDNA limits tumorigenesis, and rare human tumors with mutant mitochondrial genomes are relatively benign. Thus, mitochondria play a central and multifunctional role in malignant tumor progression, and targeting mitochondria provides therapeutic opportunities.
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            Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins*

            Deep proteomic analysis of mammalian cell lines would yield an inventory of the building blocks of the most commonly used systems in biological research. Mass spectrometry-based proteomics can identify and quantify proteins in a global and unbiased manner and can highlight the cellular processes that are altered between such systems. We analyzed 11 human cell lines using an LTQ-Orbitrap family mass spectrometer with a “high field” Orbitrap mass analyzer with improved resolution and sequencing speed. We identified a total of 11,731 proteins, and on average 10,361 ± 120 proteins in each cell line. This very high proteome coverage enabled analysis of a broad range of processes and functions. Despite the distinct origins of the cell lines, our quantitative results showed surprisingly high similarity in terms of expressed proteins. Nevertheless, this global similarity of the proteomes did not imply equal expression levels of individual proteins across the 11 cell lines, as we found significant differences in expression levels for an estimated two-third of them. The variability in cellular expression levels was similar for low and high abundance proteins, and even many of the most highly expressed proteins with household roles showed significant differences between cells. Metabolic pathways, which have high redundancy, exhibited variable expression, whereas basic cellular functions such as the basal transcription machinery varied much less. We harness knowledge of these cell line proteomes for the construction of a broad coverage “super-SILAC” quantification standard. Together with the accompanying paper (Schaab, C. MCP 2012, PMID: 22301388) (17) these data can be used to obtain reference expression profiles for proteins of interest both within and across cell line proteomes.
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              Drug combinations: a strategy to extend the life of antibiotics in the 21st century

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                Author and article information

                Journal
                Genetics
                Genetics
                genetics
                genetics
                genetics
                Genetics
                Genetics Society of America
                0016-6731
                1943-2631
                April 2020
                24 February 2020
                24 February 2020
                : 214
                : 4
                : 1103-1120
                Affiliations
                [* ]Institute for Research in Immunology and Cancer, University of Montréal, Quebec H3T 1JH, Canada
                []David Braley Center for Antibiotic Discovery, McMaster University, Hamilton, Ontario L8S 4L8, Canada
                []Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario L8S 4K1, Canada
                [§ ]Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario L8S 4K1, Canada
                Author notes
                [1]

                These authors contributed equally to this work.

                [2 ]Corresponding authors: Institute for Research in Immunology and Cancer, 2950 Chemin Polytechnique, University of Montréal, Montréal, QC H3T 1J4, Canada. E-mail: am.van.der.sloot@ 123456umontreal.ca ; and md.tyers@ 123456umontreal.ca
                Author information
                http://orcid.org/0000-0002-4845-3258
                http://orcid.org/0000-0003-0049-2044
                http://orcid.org/0000-0001-9646-0500
                http://orcid.org/0000-0003-0292-7654
                http://orcid.org/0000-0002-9645-4490
                http://orcid.org/0000-0002-5313-7057
                http://orcid.org/0000-0003-4354-8626
                http://orcid.org/0000-0003-4402-3637
                http://orcid.org/0000-0001-7230-8678
                http://orcid.org/0000-0002-4039-3131
                http://orcid.org/0000-0001-5993-0331
                http://orcid.org/0000-0002-9129-7131
                http://orcid.org/0000-0002-9713-9994
                Article
                302851
                10.1534/genetics.119.302851
                7153937
                32094149
                d8b56ca5-0c5c-4306-b6fd-74d47cc72524
                Copyright © 2020 Jacques et al.

                Available freely online through the author-supported open access option.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 November 2019
                : 06 February 2020
                Page count
                Figures: 7, Tables: 2, Equations: 0, References: 72, Pages: 18
                Categories
                Investigations
                Genome and Systems Biology
                Custom metadata
                highlight-article

                Genetics
                aaa+ atpase,antibiotic,clpp,crispr screen,imipridone,mipep,mitochondrion,proteolysis,proteome,synergism
                Genetics
                aaa+ atpase, antibiotic, clpp, crispr screen, imipridone, mipep, mitochondrion, proteolysis, proteome, synergism

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