Histone Deacetylase 8: Characterization of Physiological Divalent Metal Catalysis

Michael R Nechay1, Nathan M Gallup1, Amanda Morgenstern2

  • 1Department of Chemistry and Biochemistry, University of California, Los Angeles , Los Angeles, California 90095, United States.

Insights

Histone deacetylase 8 (HDAC8) activity varies with different metals. This study reveals Co(2+) and Zn(2+) are most active, challenging previous assumptions about HDAC8

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Computational Chemistry

Background:

  • Histone deacetylases (HDACs) regulate gene expression by removing acetyl groups from histones, and their dysregulation is linked to cancer.
  • HDAC class 8 (HDAC8) is a key target in oncology, traditionally viewed as zinc-dependent, but recent findings suggest alternative metal dependencies.
  • Understanding the catalytic mechanism and metal ion interactions of HDAC8 is crucial for developing targeted cancer therapies.

Purpose of the Study:

  • To investigate the role of various divalent metal ions in HDAC8 catalytic activity and mechanism.
  • To elucidate the binding affinities and substrate orientation capabilities of different metals within the HDAC8 active site.
  • To reconcile experimental observations with computational predictions regarding HDAC8 metal dependency.

Main Methods:

  • Mixed quantum-classical QM/DMD simulations were employed for extensive sampling of HDAC8 with various bound metal ions.
  • Density functional theory (DFT) using a large cluster model was applied to analyze the active site and reaction mechanism.
  • Quantum theory of atoms in molecules (QTAIM) was utilized to assess metal-protein binding affinities and substrate interactions.

Main Results:

  • The reaction profile of HDAC8 was found to be similar across tested metals (Zn(2+), Fe(2+), Co(2+), Mn(2+), Ni(2+), Mg(2+)), but the rate-determining step differs from prior claims.
  • A method for estimating metal binding affinities to HDAC8 was developed, correlating with experimental trends.
  • Computational analysis revealed distinct binding affinities and substrate orientations for each metal ion, influencing catalytic performance.

Conclusions:

  • HDAC8 exhibits catalytic activity with multiple metal ions, with Co(2+) and Zn(2+) predicted as the most active.
  • The study provides a framework for predicting metal ion efficacy in HDAC8 based on binding affinities and catalytic rates.
  • Findings challenge the traditional view of HDAC8 as solely zinc-dependent and offer new insights for therapeutic strategies targeting HDACs in cancer.

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