Volume 21, Issue 7, Pages (July 2014)

Slides:



Advertisements
Similar presentations
Pathway-Selective Sensitization of Mycobacterium tuberculosis for Target-Based Whole- Cell Screening Garth L. Abrahams, Anuradha Kumar, Suzana Savvi, Alvin.
Advertisements

Glycosidase Inhibition by Macrolide Antibiotics Elucidated by STD-NMR Spectroscopy Ali Sadeghi-Khomami, Michael D. Lumsden, David L. Jakeman Chemistry.
John Hines, Michael Groll, Margaret Fahnestock, Craig M. Crews 
Accelerating drug discovery: Open source cancer cell biology?
Volume 13, Issue 3, Pages (March 2006)
Volume 138, Issue 4, Pages (August 2009)
An Enzyme that Regulates Ether Lipid Signaling Pathways in Cancer Annotated by Multidimensional Profiling  Kyle P. Chiang, Sherry Niessen, Alan Saghatelian,
Volume 20, Issue 4, Pages (April 2013)
Rasmus D. Jahnsen, Evan F. Haney, Henrik Franzyk, Robert E.W. Hancock 
Huimin Na, Olga Ponomarova, Gabrielle E. Giese, Albertha J.M. Walhout 
Light-Mediated Inhibition of Protein Synthesis
Volume 38, Issue 4, Pages (May 2010)
Volume 22, Issue 5, Pages (November 2015)
Volume 17, Issue 10, Pages (October 2010)
Peter Belenky, Diogo Camacho, James J. Collins  Cell Reports 
Collapsing the Proton Motive Force to Identify Synergistic Combinations against Staphylococcus aureus  Maya A. Farha, Chris P. Verschoor, Dawn Bowdish,
Volume 20, Issue 12, Pages (December 2013)
Volume 14, Issue 10, Pages (October 2007)
Volume 21, Issue 11, Pages (November 2014)
Volume 19, Issue 2, Pages (February 2012)
John Hines, Michael Groll, Margaret Fahnestock, Craig M. Crews 
Biofilm Inhibitors that Target Amyloid Proteins
Volume 19, Issue 7, Pages (July 2012)
PMI: A ΔΨm Independent Pharmacological Regulator of Mitophagy
Volume 17, Issue 9, Pages (September 2010)
Quantum Dot-Mediated Detection of γ-Aminobutyric Acid Binding Sites on the Surface of Living Pollen Protoplasts in Tobacco  Guanghui Yu, Jiangong Liang,
Small Molecule Fluoride Toxicity Agonists
Volume 38, Issue 4, Pages (May 2010)
Small Molecule Fluoride Toxicity Agonists
A Metabolomic View of Staphylococcus aureus and Its Ser/Thr Kinase and Phosphatase Deletion Mutants: Involvement in Cell Wall Biosynthesis  Manuel Liebeke,
Yihan Wu, Mohammad R. Seyedsayamdost  Cell Chemical Biology 
Structure-Guided Design of Fluorescent S-Adenosylmethionine Analogs for a High- Throughput Screen to Target SAM-I Riboswitch RNAs  Scott F. Hickey, Ming C.
Volume 19, Issue 6, Pages (June 2012)
The Efficacy of siRNAs against Hepatitis C Virus Is Strongly Influenced by Structure and Target Site Accessibility  Selena M. Sagan, Neda Nasheri, Christian.
Volume 19, Issue 7, Pages (July 2012)
Volume 16, Issue 12, Pages (December 2009)
Peter Belenky, Diogo Camacho, James J. Collins  Cell Reports 
Identification of Small Molecule Inhibitors that Distinguish between Non-Transferrin Bound Iron Uptake and Transferrin-Mediated Iron Transport  Jing Xu.
Volume 24, Issue 3, Pages (March 2017)
Volume 18, Issue 6, Pages (June 2011)
Proteasome Activation by Small Molecules
Volume 17, Issue 4, Pages (April 2010)
Non-steroidal Anti-inflammatory Drugs Are Caspase Inhibitors
Volume 24, Issue 3, Pages (September 2016)
Volume 22, Issue 19, Pages (October 2012)
Volume 55, Issue 1, Pages (July 2014)
Mycobacterium tuberculosis Invasion of Macrophages: Linking Bacterial Gene Expression to Environmental Cues  Kyle H. Rohde, Robert B. Abramovitch, David.
One Enzyme, Three Metabolites: Shewanella algae Controls Siderophore Production via the Cellular Substrate Pool  Sina Rütschlin, Sandra Gunesch, Thomas.
Volume 13, Issue 11, Pages (November 2006)
Inhibitor Mediated Protein Degradation
An Electrophoretic Mobility Shift Assay Identifies a Mechanistically Unique Inhibitor of Protein Sumoylation  Yeong Sang Kim, Katelyn Nagy, Samantha Keyser,
Volume 16, Issue 6, Pages (June 2009)
Volume 19, Issue 8, Pages (August 2012)
Anke Kiessling, Bianca Sperl, Angela Hollis, Dirk Eick, Thorsten Berg 
Volume 17, Issue 6, Pages (November 2016)
Volume 19, Issue 2, Pages (February 2012)
Volume 20, Issue 11, Pages (November 2013)
Volume 24, Issue 7, Pages e6 (July 2017)
Yun Wah Lam, Angus I. Lamond, Matthias Mann, Jens S. Andersen 
Kari Barlan, Wen Lu, Vladimir I. Gelfand  Current Biology 
Analyzing Fission Yeast Multidrug Resistance Mechanisms to Develop a Genetically Tractable Model System for Chemical Biology  Shigehiro A. Kawashima,
Volume 16, Issue 7, Pages (July 2009)
Volume 23, Issue 2, Pages (February 2016)
Teemu P. Miettinen, Mikael Björklund  Cell Reports 
Huimin Na, Olga Ponomarova, Gabrielle E. Giese, Albertha J.M. Walhout 
Aaron T. Wright, Benjamin F. Cravatt  Chemistry & Biology 
Volume 17, Issue 9, Pages (September 2010)
Volume 5, Issue 2, Pages (February 2009)
Michael U. Shiloh, Paolo Manzanillo, Jeffery S. Cox 
Volume 24, Issue 11, Pages e3 (November 2017)
Presentation transcript:

Volume 21, Issue 7, Pages 819-830 (July 2014) Folate Pathway Disruption Leads to Critical Disruption of Methionine Derivatives in Mycobacterium tuberculosis  Molly R. Nixon, Kurt W. Saionz, Mi-Sun Koo, Michael J. Szymonifka, Hunmin Jung, Justin P. Roberts, Madhumita Nandakumar, Anuradha Kumar, Reiling Liao, Tige Rustad, James C. Sacchettini, Kyu Y. Rhee, Joel S. Freundlich, David R. Sherman  Chemistry & Biology  Volume 21, Issue 7, Pages 819-830 (July 2014) DOI: 10.1016/j.chembiol.2014.04.009 Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 1 The Folate Pathway and Relevant Inhibitors (A) The folate pathway in Mycobacterium tuberculosis. Compounds in red are known inhibitors of DHPS and DHFR, respectively. (B) Test compounds. Chemistry & Biology 2014 21, 819-830DOI: (10.1016/j.chembiol.2014.04.009) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 2 DHFR and DHPS Inhibitors Behave Synergistically in Culture against MTB Each point represents a combination of drug concentrations that result in an MIC level of inhibition. All combinations shown were synergistic. The results shown are representative of at least three replicate experiments. (A) JSF-1187 and dapsone. FIC = 0.47. (B) JSF-1187 and sulfamethoxazole. FIC = 0.54. (C) WR99210 and dapsone. FIC = 0.45. (D) WR99210 and sulfamethoxazole. FIC = 0.49. Chemistry & Biology 2014 21, 819-830DOI: (10.1016/j.chembiol.2014.04.009) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 3 Treatment of MTB with WR99210 Leads to Concentration-Dependent and Time-Dependent Metabolic Disruptions (A) WR99210 disrupts metabolite pools in a concentration-dependent fashion. Cells were treated for 24 hr with WR99210 at 0.8, 20, and 100 μM (∼0.25×, 7×, and 33× MIC), and the data represent the fold change relative to time zero. (B) WR99210 disrupts metabolite pools in a time-dependent fashion. Conversion of homocysteine to methionine depends on the availability of reduced folate cofactors (indicated by red bars). Metabolites were identified by LC-MS (see Experimental Procedures), and putative metabolite identities were based on accurate mass (m/z) and chromatographic retention time matching. In most cases, metabolite identities were confirmed using chemical standards demonstrating coelution with experimental samples, and levels are expressed as the ratio of metabolite concentration compared to untreated cells. For AICAR, S-ribosylhomocysteine and S-methylthioadenosine, levels are expressed as the ratio of signal intensity compared to untreated cells. The results are representative of two independent experiments, with three technical replicates per experiment. S-Adenosylhomocysteine could not be detected in these experiments. Chemistry & Biology 2014 21, 819-830DOI: (10.1016/j.chembiol.2014.04.009) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 4 The Signature of Antifolate Inhibition in MTB (A) Map of the core folate metabolome, with key metabolites that collectively comprise the signature of folate pathway disruption circled in red. DHF, dihydrofolate; THF, tetrahydrofolate. (B) The signature of folate pathway disruption. MTB cells were treated with JSF-1183 or JSF-1187 at 100 μM for 24 hr, and results for core folate pathway metabolites were compared with those shown above for WR99210. Metabolite signal intensities were normalized to internal control metabolites. Results shown are on a log2 scale and are representative of two independent experiments, with three technical replicates per experiment. Metabolite identities were confirmed using chemical standards demonstrating coelution with experimental samples, with the exception of AICAR. Chemistry & Biology 2014 21, 819-830DOI: (10.1016/j.chembiol.2014.04.009) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 5 Treatment with Antifolates Leads to Altered Expression of Genes of the Activated Methyl Cycle Cells were treated with WR99210, JSF-1183, or JSF-1187 at ∼33× MIC for 24 hr. RNA was extracted from treated cells, and labeled probes were hybridized to custom Nimblegen arrays. (A) Map of the activated methyl cycle, with relevant MTB genes and compounds (in boxes). (B) Fold change in expression of activated methyl cycle genes following antifolate treatment. Results shown are the averages of three independent biological replicates. Chemistry & Biology 2014 21, 819-830DOI: (10.1016/j.chembiol.2014.04.009) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 6 Supplementation with Amino Acids or S-Adenosylmethionine Rescues MTB from Treatment with WR99210 MTB constitutively expressing GFP as a reporter for growth was treated with 780 nM WR99210 (white bars) or 1% DMSO (no drug control; gray bars) and supplemented with serine/methionine/glycine (A), amino acids (minus serine/methionine/glycine) (B), S-adenosylmethionine (C), and D-amino acids (D). The results shown are the means of two technical replicates ± SD. All results were confirmed by optical density (data not shown). RFU, relative fluorescence units. (A and B) Graphs show representative data from three to five experiments. (C and D) Graphs show representative data from two experiments. Chemistry & Biology 2014 21, 819-830DOI: (10.1016/j.chembiol.2014.04.009) Copyright © 2014 Elsevier Ltd Terms and Conditions