Data characterizing the ZMIZ1 molecular phenotype of multiple sclerosis

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. and Booth, D. R. (2017) Data characterizing the ZMIZ1 molecular phenotype of multiple sclerosis. Data in Brief, 11 364-370. doi:10.1016/j.dib.2017.02.040

Author 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.
Title Data characterizing the ZMIZ1 molecular phenotype of multiple sclerosis
Journal name Data in Brief   Check publisher's open access policy
ISSN 2352-3409
Publication date 2017-04-01
Sub-type Article (original research)
DOI 10.1016/j.dib.2017.02.040
Open Access Status DOI
Volume 11
Start page 364
End page 370
Total pages 7
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Language eng
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.
Keyword Gene expression
Molecular phenotype
Multiple sclerosis
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
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