| Literature DB >> 29856759 |
Michael J Thomenius1, Jennifer Totman1, Darren Harvey1, Lorna H Mitchell1, Thomas V Riera1, Kat Cosmopoulos1, Alexandra R Grassian1, Christine Klaus1, Megan Foley1, Elizabeth A Admirand1, Haris Jahic1, Christina Majer1, Tim Wigle1, Suzanne L Jacques1, Jodi Gureasko1, Dorothy Brach1, Trupti Lingaraj1, Kip West1, Sherri Smith1, Nathalie Rioux1, Nigel J Waters1, Cuyue Tang1, Alejandra Raimondi1, Michael Munchhof1, James E Mills1, Scott Ribich1, Margaret Porter Scott1, Kevin W Kuntz1, William P Janzen1, Mikel Moyer1, Jesse J Smith1, Richard Chesworth1, Robert A Copeland1, P Ann Boriack-Sjodin1.
Abstract
A key challenge in the development of precision medicine is defining the phenotypic consequences of pharmacological modulation of specific target macromolecules. To address this issue, a variety of genetic, molecular and chemical tools can be used. All of these approaches can produce misleading results if the specificity of the tools is not well understood and the proper controls are not performed. In this paper we illustrate these general themes by providing detailed studies of small molecule inhibitors of the enzymatic activity of two members of the SMYD branch of the protein lysine methyltransferases, SMYD2 and SMYD3. We show that tool compounds as well as CRISPR/Cas9 fail to reproduce many of the cell proliferation findings associated with SMYD2 and SMYD3 inhibition previously obtained with RNAi based approaches and with early stage chemical probes.Entities:
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Year: 2018 PMID: 29856759 PMCID: PMC5983452 DOI: 10.1371/journal.pone.0197372
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Chemical structures of SMYD2 (A) and SMYD3 (B) inhibitors.
Biochemical and cellular potencies and physicochemical properties of SMYD2 and SMYD3 inhibitors used in this study.
| Biochemical IC50 (nM) | Intracellular Methylation IC50 (µM) | Cellular Proliferation | M.W. (Da) | Total P.S.A. (Å2) | |||
|---|---|---|---|---|---|---|---|
| AZ505 | 51 (3) | 13.900 (1) | 12.8 (2) | 577.55 | 102.9 | 5.22 | |
| LLY-507 | 17 (3) | 0.691 (3) | 1.8 (3) | 574.77 | 65.9 | 6.86 | |
| BAY-598 | 27 | 0.058 | >20 | 525.34 | 113.6 | 5.85 | |
| EPZ032597 | 16 (2) | 0.031 (2) | >40 (3) | 377.44 | 80.9 | 1.73 | |
| EPZ033294 | 3.9 (2) | 0.0029 (3) | >40 (2) | 411.89 | 80.9 | 2.33 | |
| GSK2807 | 130 | ||||||
| BCI-121 | 11,800 | >100 | |||||
| EPZ030456 | 4.0 | 0.051 | 572.12 | 110.9 | 1.38 | ||
| EPZ031686 | 3.0 | 0.036 | 591.09 | 100.0 | 2.18 | ||
| EPZ028862 | 1.8 (2) | 0.032 (3) | >40 (2) | 422.54 | 118.5 | 0.31 |
1 Mean value from this study. Value in parenthesis indicates number of experimental determinations. Reported proliferation IC50s were measured in KYSE-150 (SMYD2) or HepG2 (SMYD3).
2 Data from Eggert et al (2016).
3 Data from Van Aller et al (2016)
4 Data from Peserico et al (2015)
5 Data from Mitchell et al (2016)
Fig 2Characterization of EPZ033294 as an inhibitor of SMYD2.
A) Representative SMYD2 biochemical dose-response curve for EPZ033294. IC50 value and standard deviation of 3.9 ± 0.3 nM was determined from 2 independent experiments. B) EPZ033294 IC50 values as a function of peptide concentration illustrating noncompetitive inhibition. IC50 values with their standard error and the fit line calculated from a single experiment. C) Structure of EPZ033294 (cyan) with SMYD2 (green) and SAM (yellow) (PDB ID 5V3H). Electron density (2Fo−Fc, 1σ) for the compound is shown. Hydrogen bonds are indicated as dashed lines. D) Western blot of BTF3 methylation showing dose dependent effects of EPZ033294 and a cell biochemical IC50 of 2.9 nM. Data shown is representative of three independent experiments.
Fig 3Anti-proliferative activity of SMYD2 inhibitors.
(A) Correlation plots of (left) cellular methylation IC50 as a function of biochemical IC50 and (right) cell proliferation IC50 as a function of cellular methylation IC50 for SMYD2 inhibitors. (B) Western blot of BTF3 methylation showing dose dependent effects of EPZ032597. Data is representative of two independent experiments. (C) The effect of EPZ032597 on proliferation in a broad panel of cancer cell lines. (D) The effect LLY507 on proliferation of a broad panel of cancer cell lines. Values for C) and D) are the average of three biological replicates; error bars represent standard deviations (not readily visible on scale for all points). The 10 μM value represents the highest dose tested.
Fig 4Characterization of EPZ028862 as an inhibitor of SMYD3.
A) Representative SMYD3 biochemical dose-response curve for EPZ028862 with a mean IC50 value and standard deviation of 1.80 ± 0.06 nM from 2 experiments. B) Structure of EPZ028862 (cyan) with SMYD3 (green) and SAM (yellow) (PDB ID 5V37); water molecules are represented with red spheres. Electron density (2Fo−Fc, 1σ) for the compound is shown. Hydrogen bonds are indicated as dashed lines. C) Anti-proliferative activity of the SMYD3 inhibitor EPZ028862 across a broad panel of cancer cell lines in 2D culture (left) and in 3D culture (right). The 25 μM value represents the highest dose tested. Each value represents the mean of three replicates. Error bars represent the standard deviation (not readily visible on scale).
Fig 5Gene ablation techniques show no dependence on SMYD2 or SMYD3 for cancer cell proliferation.
Waterfall plot representing LogP RSA scores for sgRNAs targeting A) SMYD2 and B) SMYD3. 313 cell lines were infected with a library of 6500 sgRNAs targeting 600 different genes. LogP RSA scores represent depletion of guides from an infected cell population. Each bar represents a different cell line. Bars are colored by cancer subtype. C) Percent confluency of Hep3B cells infected with CRISPR viruses containing CAS9 and sgRNAs targeting HBE-1, EZH2 (negative controls) or SMYD3. Cell density was evaluated using an Incucyte Zoom. Growth curves were initiated 24 days following virus infection and puromycin selection. Plotted data is the average of three biological replicates. Error bars represent standard deviation (not readily visible on scale). D) SMYD3 western blot of lysates derived from Hep3B cells infected with CAS9 and SMYD3 sgRNA. Parental Hep3Bs and Hep3Bs stably infected with HBE-1, EZH2 (negative controls) or SMYD3 were lysed and probed for SMYD3 levels by western. GAPDH levels were evaluated as a loading control.