Bioinformatic approaches to interrogating vitamin D receptor signaling

Mol Cell Endocrinol. 2017 Sep 15:453:3-13. doi: 10.1016/j.mce.2017.03.011. Epub 2017 Mar 10.

Abstract

Bioinformatics applies unbiased approaches to develop statistically-robust insight into health and disease. At the global, or "20,000 foot" view bioinformatic analyses of vitamin D receptor (NR1I1/VDR) signaling can measure where the VDR gene or protein exerts a genome-wide significant impact on biology; VDR is significantly implicated in bone biology and immune systems, but not in cancer. With a more VDR-centric, or "2000 foot" view, bioinformatic approaches can interrogate events downstream of VDR activity. Integrative approaches can combine VDR ChIP-Seq in cell systems where significant volumes of publically available data are available. For example, VDR ChIP-Seq studies can be combined with genome-wide association studies to reveal significant associations to immune phenotypes. Similarly, VDR ChIP-Seq can be combined with data from Cancer Genome Atlas (TCGA) to infer the impact of VDR target genes in cancer progression. Therefore, bioinformatic approaches can reveal what aspects of VDR downstream networks are significantly related to disease or phenotype.

Publication types

  • Review
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Bone and Bones / immunology
  • Bone and Bones / metabolism
  • Computational Biology / methods*
  • Genome-Wide Association Study
  • Humans
  • Immune System
  • Immunity
  • Neoplasms / immunology
  • Neoplasms / metabolism
  • Receptors, Calcitriol / genetics
  • Receptors, Calcitriol / metabolism*
  • Signal Transduction
  • Transcription Factors / immunology
  • Transcription Factors / metabolism
  • Transcriptome

Substances

  • Receptors, Calcitriol
  • Transcription Factors
  • VDR protein, human