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.I. 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

doi:10.1016/j.dib.2017.02.040

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.I. 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

Centre for Neuromuscular and Neurological Disorders (Perron Institute)

Research output: Contribution to journal › Data article › peer-review

4 Citations (Scopus)

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 language	English
Pages (from-to)	364-370
Number of pages	7
Journal	Data in Brief
Volume	11
DOIs	https://doi.org/10.1016/j.dib.2017.02.040
Publication status	Published - 1 Apr 2017

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Fewings, N., Gatt, P. N., Mckay, F. C., Parnell, G. P., Schibeci, S. D., Edwards, J., Basuki, M. A. I., 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

@article{73d9f26c3f454b94adbaf98214a6c000,

title = "Data characterizing the ZMIZ1 molecular phenotype of multiple sclerosis",

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.",

keywords = "Gene expression, Molecular phenotype, Multiple sclerosis, ZMIZ1",

author = "N. Fewings and P.N. Gatt and F.C. Mckay and G.P. Parnell and S.D. Schibeci and J. Edwards and M.A.I. Basuki and A. Goldinger and M.J. Fabis-Pedrini and Kermode, {A. G.} and Manrique, {C. P.} and McCauley, {J. L.} and D. Nickles and Baranzini, {S. E.} and T. Burke and S. Vucic and Stewart, {G. J.} and Booth, {D. R.}",

year = "2017",

month = apr,

day = "1",

doi = "10.1016/j.dib.2017.02.040",

language = "English",

volume = "11",

pages = "364--370",

journal = "Data in Brief",

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Fewings, N, Gatt, PN, Mckay, FC, Parnell, GP, Schibeci, SD, Edwards, J, Basuki, MAI, Goldinger, A, Fabis-Pedrini, MJ , Kermode, AG, Manrique, CP, McCauley, JL, Nickles, D, Baranzini, SE, Burke, T, Vucic, S, Stewart, GJ & Booth, DR 2017, 'Data characterizing the ZMIZ1 molecular phenotype of multiple sclerosis', Data in Brief, vol. 11, pp. 364-370. https://doi.org/10.1016/j.dib.2017.02.040

TY - JOUR

T1 - Data characterizing the ZMIZ1 molecular phenotype of multiple sclerosis

AU - Fewings, N.

AU - Gatt, P.N.

AU - Mckay, F.C.

AU - Parnell, G.P.

AU - Schibeci, S.D.

AU - Edwards, J.

AU - Basuki, M.A.I.

AU - Goldinger, A.

AU - Fabis-Pedrini, M.J.

AU - Kermode, A. G.

AU - Manrique, C. P.

AU - McCauley, J. L.

AU - Nickles, D.

AU - Baranzini, S. E.

AU - Burke, T.

AU - Vucic, S.

AU - Stewart, G. J.

AU - Booth, D. R.

PY - 2017/4/1

Y1 - 2017/4/1

N2 - 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.

AB - 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.

KW - Gene expression

KW - Molecular phenotype

KW - Multiple sclerosis

KW - ZMIZ1

UR - http://www.scopus.com/inward/record.url?scp=85013999398&partnerID=8YFLogxK

U2 - 10.1016/j.dib.2017.02.040

DO - 10.1016/j.dib.2017.02.040

M3 - Data article

C2 - 28275670

AN - SCOPUS:85013999398

SN - 2352-3409

VL - 11

SP - 364

EP - 370

JO - Data in Brief

JF - Data in Brief

ER -

Data characterizing the ZMIZ1 molecular phenotype of multiple sclerosis

Abstract

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