Insights into a Cancer-Target Demethylase: Substrate Prediction through Systematic Specificity Analysis for KDM3A

Anand Chopra1,2, William G Willmore1,2, Kyle K Biggar1,2

  • 1Institute of Biochemistry, Carleton University, Ottawa, ON K1S 5B6, Canada.

Biomolecules
|May 28, 2022
PubMed

Insights

This study identifies the substrate specificity of KDM3A, a Jumonji C (JmjC) lysine demethylase (KDM) linked to cancer. Understanding KDM3A

Area of Science:

  • Biochemistry and Molecular Biology
  • Cancer Research
  • Epigenetics

Background:

  • Jumonji C (JmjC) lysine demethylases (KDMs) remove methyl groups from lysyl residues, influencing biological processes.
  • While KDMs are known for histone demethylation, their non-histone roles are gaining attention in cancer progression.
  • KDM3A is implicated in tumor progression, promoting phenotypes like increased glucose consumption and chemoresistance.

Purpose of the Study:

  • To elucidate the mechanism of KDM3A's oncogenic function by determining its substrate specificity.
  • To predict high-confidence KDM3A substrates and identify potential targets for therapeutic intervention.

Main Methods:

  • Assessed KDM3A substrate specificity using a peptide permutation library targeting histone H3 di-methylated at lysine-9 (H3K9me2).
  • Established the KDM3A recognition motif based on activity assays.
  • Utilized the motif to predict demethylation sites within the KDM3A interactome.

Main Results:

  • Defined the specific recognition motif for KDM3A activity.
  • Identified three high-confidence in vitro substrates: MLL1, p300, and KDM6B.
  • These substrates are known to be relevant to cancer progression pathways.

Conclusions:

  • This study provides critical insights into KDM3A substrate specificity, revealing its potential non-histone targets.
  • The identified substrates (MLL1, p300, KDM6B) offer avenues for further investigation into KDM3A's oncogenic roles.
  • Preliminary data supports future tissue culture experiments to decipher KDM3A's contribution to cancer phenotypes.

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