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In silico probing and biological evaluation of SETDB1/ESET-targeted novel compounds that reduce tri-methylated histone H3K9 (H3K9me3) level

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Abstract

ERG-associated protein with the SET domain (ESET/SET domain bifurcated 1/SETDB1/KMT1E) is a histone lysine methyltransferase (HKMT) and it preferentially tri-methylates lysine 9 of histone H3 (H3K9me3). SETDB1/ESET leads to heterochromatin condensation and epigenetic gene silencing. These functional changes are reported to correlate with Huntington’s disease (HD) progression and mood-related disorders which make SETDB1/ESET a viable drug target. In this context, the present investigation was performed to identify novel peptide-competitive small molecule inhibitors of the SETDB1/ESET by a combined in silico–in vitro approach. A ligand-based pharmacophore model was built and employed for the virtual screening of ChemDiv and Asinex database. Also, a human SETDB1/ESET homology model was constructed to supplement the data further. Biological evaluation of the selected 21 candidates singled out 5 compounds exhibiting a notable reduction of the H3K9me3 level via inhibitory potential of SETDB1/ESET activity in SETDB1/ESET-inducible cell line and HD striatal cells. Later on, we identified two compounds as final hits that appear to have neuronal effects without cytotoxicity based on the result from MTT assay. These compounds hold the calibre to become the future lead compounds and can provide structural insights into more SETDB1/ESET-focused drug discovery research. Moreover, these SETDB1/ESET inhibitors may be applicable for the preclinical study to ameliorate neurodegenerative disorders via epigenetic regulation.

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Abbreviations

SETDB1/ESET:

ERG-associated protein with SET domain

HKMT:

Histone lysine methyltransferase

H3K9me3:

Tri-methylated lysine 9 of histone H3

HD:

Huntington’s disease

References

  1. Jenuwein T, Allis CD (2001) Translating the histone code. Science 293(5532):1074–1080

    Article  CAS  Google Scholar 

  2. Turner BM (2002) Cellular memory and the histone code., Cell 111(3):285–291

    Article  CAS  Google Scholar 

  3. Grewal SI, Rice JC (2004) Regulation of heterochromatin by histone methylation and small RNAs. Curr Opin Cell Biol 16(3):230–238

    Article  CAS  Google Scholar 

  4. Gelato KA, Fischle W (2008) Role of histone modifications in defining chromatin structure and function. Biol Chem 389(4):353–363

    Article  CAS  Google Scholar 

  5. Pattaroni C, Jacob C (2013) Histone methylation in the nervous system: functions and dysfunctions. Mol Neurobiol 47(2):740–756

    Article  CAS  Google Scholar 

  6. Lachner M, O’Sullivan RJ, Jenuwein T (2003) An epigenetic road map for histone lysine methylation. J Cell Sci 116(Pt 11):2117–2124

    Article  CAS  Google Scholar 

  7. Völkel P, Angrand PO (2007) The control of histone lysine methylation in epigenetic regulation. Biochimie 89(1):1–20

    Article  Google Scholar 

  8. Bedford MT, Richard S (2005) Arginine methylation an emerging regulator of protein function. Mol Cell 18(3):263–272

    Article  CAS  Google Scholar 

  9. Krause CD, Yang ZH, Kim YS, Lee JH, Cook JR, Pestka S (2007) Protein arginine methyltransferase: evolution and assessment of their pharmacological and therapeutic potential. Pharmacol Ther 113(1):50–87

    Article  CAS  Google Scholar 

  10. Rea S, Eisenhaber F, O’Carroll D, Strahl BD, Sun ZW, Schmid M, Opravil S, Mechtler K, Ponting CP, Allis CD, Jenuwein T (2000) Regulation of chromatin structure by site-specific histone H3 methyltransferases. Nature 406(6796):593–599

    Article  CAS  Google Scholar 

  11. Kouzarides T (2002) Histone methylation in transcriptional control. Curr Opin Genet Dev 12(2):198–209

    Article  CAS  Google Scholar 

  12. Wang H, An W, Cao R, Xia L, Erdjument-Bromage H, Chatton B, Tempst P, Roeder RG, Zhang Y (2003) mAM facilitates conversion by SETDB1/ESET of dimethyl to trimethyl lysine 9 of histone H3 to cause transcriptional repression. Mol Cell 2:475–487

    Article  Google Scholar 

  13. Dodge JE, Kang YK, Beppu H, Lei H, Li E (2004) Histone H3-K9 methyltransferase ESET is essential for early development. Mol Cell Biol 24(6):2478–2486

    Article  CAS  Google Scholar 

  14. Lee J, Hagerty S, Cormier KA, Kim J, Kung AL, Ferrante RJ, Ryu H (2008) Monoallele deletion of CBP leads to pericentromeric heterochromatin condensation through ESET expression and histone H3 (K9) methylation, Hum Mol Genet 17:1774–1782

    Article  CAS  Google Scholar 

  15. Ryu H, Lee J, Hagerty SW, Soh BY, McAlpin SE, Cormier KA, Smith KM, Ferrante RJ (2006) ESET/SETDB1 gene expression and histone H3 (K9) trimethylation in Huntington’s disease. Proc Natl Acad Sci USA 103(50):19176–19181

    Article  CAS  Google Scholar 

  16. Jiang Y, Matevossian A, Guo Y, Akbarian S (2011) Setdb1-mediated histone H3K9 hypermethylation in neurons worsens the neurological phenotype of Mecp2-deficient mice. Neuropharmacology 60(7–8):1088–1097

    Article  CAS  Google Scholar 

  17. Fierz B, Muir TW (2012) Chromatin as an expansive canvas for chemical biology. Nat Chem Biol 8(5):417–427

    Article  CAS  Google Scholar 

  18. Greiner D, Bonaldi T, Eskeland R, Roemer E, Imhof A (2005) Identification of a specific inhibitor of the histone methyltransferase SU(VAR)3–9. Nat Chem Biol 1:143–145

    Article  CAS  Google Scholar 

  19. Kubicek S, O’Sullivan RJ, August EM, Hickey ER, Zhang Q, Teodoro ML, Rea S, Mechtler K, Kowalski JA, Homon CA, Kelly TA, Jenuwein T (2007) Reversal of H3K9me2 by a small-molecule inhibitor for the G9a histone methyltransferase. Mol Cell 25(3):473–481

    Article  CAS  Google Scholar 

  20. Liu F, Jin J (2009) Discovery of a 2,4-diamino-7-aminoalkoxyquinazoline as a potent and selective inhibitor of histone lysine methyltransferase G9a. J Med Chem 52:7950–7953

    Article  CAS  Google Scholar 

  21. Liu F, Jin J (2010) Protein lysine methyltransferase G9a inhibitors: design, synthesis, and structure activity relationships of 2,4-diamino-7-aminoalkoxy-quinazolines. J Med Chem 53:5844–5857

    Article  CAS  Google Scholar 

  22. Vedadi M, Jin J (2011) A chemical probe selectively inhibits G9a and GLP methyltransferase activity in cells. Nat Chem Biol 7:566–574

    Article  CAS  Google Scholar 

  23. Chang Y, Ganesh T, Horton JR, Spannhoff A, Liu J, Sun A, Zhang X, Bedford MT, Shinkai Y, Snyder JP, Cheng X (2010) Adding a lysine mimic in the design of potent inhibitors of histone lysine methyltransferases. J Mol Biol 400(1):1–7

    Article  CAS  Google Scholar 

  24. Barnum D, Greene J, Smellie A, Sprague P (1996) Identification of common functional configurations among molecules. J Biol Chem 273:9894–9897

    Google Scholar 

  25. Krishnan S, Horowitz S, Trievel RC (2011) Structure and function of histone H3 Lysine 9 methyltransferases and demethylases. ChemBioChem 12:254–263

    Article  CAS  Google Scholar 

  26. Xiao B, Wilson JR, Gamblin SJ (2003) SET domains and histone methylation. Curr Opin Struct Biol 13(6):699–705

    Article  CAS  Google Scholar 

  27. Harte PJ, Wu W, Carrasquillo MM, Matera AG (1999) Assignment of a novel bifurcated SET domain gene, SETDB1, to human chromosome band 1q21 by in situ hybridization and radiation hybrids Cytogenet. Cell Genet 84:83–86

    Article  CAS  Google Scholar 

  28. Yang L, Xia L, Wu DY, Wang H, Chansky HA, Schubach WH, Hickstein DD, Zhang Y (2002) Molecular cloning of ESET, a novel histone H3-specific methyltransferase that interacts with ERG transcription factor. Oncogene 21(1):148–152

    Article  CAS  Google Scholar 

  29. Qian C, Zhou MM (2006) SET domain protein lysine methyltransferases: structure, specificity and catalysis. Cell Mol Life Sci 63:2755–2763

    Article  CAS  Google Scholar 

  30. Schapira M (2011) Structural chemistry of human SET domain protein methyltransferases. Curr Chem Genom 5:85–94

    Article  CAS  Google Scholar 

  31. Wu H, Min J, Lunin VV, Antoshenko T, Dombrovski L (2010) Structural biology of human H3K9 methyltransferases. PLoS ONE 5(1):e8570

    Article  Google Scholar 

  32. Thompson JD, Higgins DG, Gibson TJ (1994) CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res 22:4673–4680

    Article  CAS  Google Scholar 

  33. Marti-Renom MA, Madhusudhan MS, Sali A (2004) Alignment of protein sequences by their profiles. Protein Sci 13:1071–1087

    Article  CAS  Google Scholar 

  34. Sali A, Blundell TL (1993) Comparative protein modeling by satisfaction of spatial restraints. J Mol Biol 234:779–815

    Article  CAS  Google Scholar 

  35. Marti-Renom MA, Stuart A, Fiser A, Sánchez R, Melo F, Sali A (2000) Comparative protein structure modeling of genes and genomes. Annu Rev Biophys Biomol Struct 29:291–325

    Article  CAS  Google Scholar 

  36. Fiser A, Do RK, Sali A (2000) Modeling of loops in protein structures. Protein Sci 9(9):1753–1773

    Article  CAS  Google Scholar 

  37. Eswar N, Marti-Renom MA, Webb B, Madhusudhan MS, Eramian D, Shen M, Pieper U, Sali A (2007) Comparative protein structure modeling with MODELLER. Curr Protoc Protein Sci. Chap 2: Unit 2.9

  38. Lovell SC, Davis IW, Arendale WB III, de Bakker PI, Word JM, Prisant MG, Richardson JS, Richardson DC (2003) Structure validation by C-alpha geometry: phi, psi and C-beta deviation. Proteins 50:437–450

    Article  CAS  Google Scholar 

  39. Lüthy R, Bowie JU, Eisenberg D (1992) Assessment of protein models with three-dimensional profiles. Nature 356:83–85

    Article  Google Scholar 

  40. Liebeschuetz JW, Cole JC, Korb O (2012) Pose prediction and virtual screening performance of GOLD scoring functions in a standardized test. J Comput Aided Mol Des 26:737–748

    Article  CAS  Google Scholar 

  41. Hwang YJ, Han DH, Kim KY, Min S-J, Kowall NW, Yang L, Lee J, Kim YS, Ryu H (2014) ESET methylates UBF at K232/254 and regulates nucleolar heterochromatin plasticity and rDNA transcription. Nucleic Acids Res 42(3):1628–1643

    Article  CAS  Google Scholar 

  42. Trettel F, Rigamonti D, Hilditch-Maguire P, Wheeler VC, Sharp AH, Persichetti F, Cattaneo E, MacDonald ME (2000) Dominant phenotypes produced by the HD mutation in STHdh(Q111) striatal cells. Hum Mol Genet 9(19):2799–2809

    Article  CAS  Google Scholar 

  43. Tan Y, Tajik A, Chen J, Jia Q, Chowdhury F, Wang L, Chen J, Zhang S, Hong Y, Yi H, Wu DC, Zhang Y, Wei F, Poh YC, Seong J, Singh R, Lin LJ, Doğanay S, Li Y, Jia H, Ha T, Wang Y, Huang B, Wang N (2014) Matrix softness regulates plasticity of tumour-repopulating cells via H3K9 demethylation and Sox2 expression. Nat Commun 5:4619

    CAS  Google Scholar 

Download references

Acknowledgements

This study was supported by NIH Grant (NS067283 to H. R.) and Flagship Grant (2E26200 to H. R) from Korea Institute of Science and Technology, and National Research Council of Science & Technology (NST) Grant by the Korea government (MSIP) (No. CRC-15-04-KIST to A. P).

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Correspondence to Hoon Ryu or Ae Nim Pae.

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Insun Park and Yu Jin Hwang have equally contributed to this work.

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Park, I., Hwang, Y.J., Kim, T. et al. In silico probing and biological evaluation of SETDB1/ESET-targeted novel compounds that reduce tri-methylated histone H3K9 (H3K9me3) level. J Comput Aided Mol Des 31, 877–889 (2017). https://doi.org/10.1007/s10822-017-0052-3

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