Subject area	Biology
More specific subject area	Autoimmune Genetics
Type of data	Tables, Figures
How data was acquired	Molecular phenotypes are determined from transcriptomic data (RNAseq, Microarray) derived from previously published sources[2], [3], [4]
	Molecular pathways were analysed using GeneGo, Metacore.
	Flow Cytometry data was acquired using Canto II (BD Biosciences) and Fortessa (BD Biosciences) instruments.
Data format	Analyzed
Experimental factors	Samples are from whole blood collected in to PAXgene tubes for RNA analysis. The source of samples were healthy controls and Multiple Sclerosis patients not on therapy from Australia and the United States.
Experimental features	Gene expression in whole blood was interrogated by transcriptomic and RTPCR procedures to identify genes dysregulated in MS and correlated gene sets (mRNA level). Flow cytometry was used to identify immune cell subsets in which ZMIZ1 and RPS6 were most highly expressed (protein level).
Data source location	Cohorts of MS patients and controls are from Sydney and Perth in Australia; and Miami and San Francisco in United States.
Data accessibility	UCSF CIS Cohort Transcriptome Source Data is in RepositoryGSE41846(url:https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41846) ANZgene Transcriptome Source Data is in RepositoryGSE17048(url:https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17048)