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Mining the topography and dynamics of the 4D Nucleome to identify novel CNS drug pathways.

Publication ,  Journal Article
Higgins, GA; Allyn-Feuer, A; Georgoff, P; Nikolian, V; Alam, HB; Athey, BD
Published in: Methods
July 1, 2017

The pharmacoepigenome can be defined as the active, noncoding province of the genome including canonical spatial and temporal regulatory mechanisms of gene regulation that respond to xenobiotic stimuli. Many psychotropic drugs that have been in clinical use for decades have ill-defined mechanisms of action that are beginning to be resolved as we understand the transcriptional hierarchy and dynamics of the nucleus. In this review, we describe spatial, temporal and biomechanical mechanisms mediated by psychotropic medications. Focus is placed on a bioinformatics pipeline that can be used both for detection of pharmacoepigenomic variants that discretize drug response and adverse events to improve pharmacogenomic testing, and for the discovery of novel CNS therapeutics. This approach integrates the functional topology and dynamics of the transcriptional hierarchy of the pharmacoepigenome, gene variant-driven identification of pharmacogenomic regulatory domains, and mesoscale mapping for the discovery of novel CNS pharmacodynamic pathways in human brain. Examples of the application of this pipeline are provided, including the discovery of valproic acid (VPA) mediated transcriptional reprogramming of neuronal cell fate following injury, and mapping of a CNS pathway glutamatergic pathway for the mood stabilizer lithium. These examples in regulatory pharmacoepigenomics illustrate how ongoing research using the 4D nucleome provides a foundation to further insight into previously unrecognized psychotropic drug pharmacodynamic pathways in the human CNS.

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Published In

Methods

DOI

EISSN

1095-9130

Publication Date

July 1, 2017

Volume

123

Start / End Page

102 / 118

Location

United States

Related Subject Headings

  • Valproic Acid
  • Transcription, Genetic
  • Psychotropic Drugs
  • Pharmacogenetics
  • Neurons
  • Nerve Tissue Proteins
  • Lithium
  • Humans
  • Genome, Human
  • Gene Expression Regulation
 

Citation

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Higgins, G. A., Allyn-Feuer, A., Georgoff, P., Nikolian, V., Alam, H. B., & Athey, B. D. (2017). Mining the topography and dynamics of the 4D Nucleome to identify novel CNS drug pathways. Methods, 123, 102–118. https://doi.org/10.1016/j.ymeth.2017.03.012
Higgins, Gerald A., Ari Allyn-Feuer, Patrick Georgoff, Vahagn Nikolian, Hasan B. Alam, and Brian D. Athey. “Mining the topography and dynamics of the 4D Nucleome to identify novel CNS drug pathways.Methods 123 (July 1, 2017): 102–18. https://doi.org/10.1016/j.ymeth.2017.03.012.
Higgins GA, Allyn-Feuer A, Georgoff P, Nikolian V, Alam HB, Athey BD. Mining the topography and dynamics of the 4D Nucleome to identify novel CNS drug pathways. Methods. 2017 Jul 1;123:102–18.
Higgins, Gerald A., et al. “Mining the topography and dynamics of the 4D Nucleome to identify novel CNS drug pathways.Methods, vol. 123, July 2017, pp. 102–18. Pubmed, doi:10.1016/j.ymeth.2017.03.012.
Higgins GA, Allyn-Feuer A, Georgoff P, Nikolian V, Alam HB, Athey BD. Mining the topography and dynamics of the 4D Nucleome to identify novel CNS drug pathways. Methods. 2017 Jul 1;123:102–118.
Journal cover image

Published In

Methods

DOI

EISSN

1095-9130

Publication Date

July 1, 2017

Volume

123

Start / End Page

102 / 118

Location

United States

Related Subject Headings

  • Valproic Acid
  • Transcription, Genetic
  • Psychotropic Drugs
  • Pharmacogenetics
  • Neurons
  • Nerve Tissue Proteins
  • Lithium
  • Humans
  • Genome, Human
  • Gene Expression Regulation