Data characterizing the ZMIZ1 molecular phenotype of multiple sclerosis

N. Fewings, P. N. Gatt, F. C. McKay, G. P. Parnell, S. D. Schibeci, J. Edwards, M. A. Basuki, A. Goldinger, M. J. Fabis-Pedrini, A. G. Kermode, C. P. Manrique, J. L. McCauley, D. Nickles, S. E. Baranzini, T. Burke, S. Vucic, G. J. Stewart, D. R. Booth

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

The data presented in this article are related to the research article entitled “The autoimmune risk gene ZMIZ1 is a vitamin D responsived marker of a molecular phenotype of multiple sclerosis” Fewings et al. (2017) [1]. Here we identify the set of genes correlated with ZMIZ1 in multiple cohorts, provide phenotypic details on those cohorts, and identify the genes negatively correlated with ZMIZ1 and the cells predominantly expressing those genes. We identify the metabolic pathways in which the molecular phenotype genes are over-represented. Finally, we present the flow cytometry gating strategy we have used to identify the immune cells from blood which are producing ZMIZ1 and RPS6.

Original languageEnglish (US)
Pages (from-to)364-370
Number of pages7
JournalData in Brief
Volume11
DOIs
StatePublished - Apr 1 2017

Keywords

  • Gene expression
  • Molecular phenotype
  • Multiple sclerosis
  • ZMIZ1

ASJC Scopus subject areas

  • General

Fingerprint Dive into the research topics of 'Data characterizing the ZMIZ1 molecular phenotype of multiple sclerosis'. Together they form a unique fingerprint.

  • Cite this

    Fewings, N., Gatt, P. N., McKay, F. C., Parnell, G. P., Schibeci, S. D., Edwards, J., Basuki, M. A., Goldinger, A., Fabis-Pedrini, M. J., Kermode, A. G., Manrique, C. P., McCauley, J. L., Nickles, D., Baranzini, S. E., Burke, T., Vucic, S., Stewart, G. J., & Booth, D. R. (2017). Data characterizing the ZMIZ1 molecular phenotype of multiple sclerosis. Data in Brief, 11, 364-370. https://doi.org/10.1016/j.dib.2017.02.040