Project description:Psoriasis was found to ameliorate multiple sclerosis (MS) outcomes when it MS onset. However, the molecular basis for this observation remains unclear. Herein, we compared the blood mononuclear cell transcriptome of psoriasis and MS comorbide (P/MS) patients with that of patients with either psoriasis or MS to understand the clinical observation.
Project description:Background: pregnancy is associated with reduced activity of multiple sclerosis (MS). However, the biological mechanisms underlying this pregnancy-related decrease in disease activity are poorly understood. This data series contains the subset of data used to generate a MS signature comparing female MS specimens before pregnancy with respect to female MS specimens at ninth month pregnancy.
Project description:MicroRNAs are small noncoding RNA molecules that are involved in the control of gene expression. To investigate the role of microRNA in multiple sclerosis (MS), we performed global microarray analyses of mRNA and microRNA in peripheral blood T-cells from relapsing-remitting MS patients and controls. We identified 2,452 regulated genes and 21 regulated microRNA that differed between MS patients and controls. By Kolmogorov-Smirnov test, 20 of 21 regulated microRNA were shown to affect the expression of their target genes, many of which are involved in the immune system. LIGHT (TNFSF14) was a microRNA target gene significantly decreased in MS. The down-regulation of mir-494 and predicted mRNA-target LIGHT was verified by real-time PCR and we could demonstrate decreased serum levels of LIGHT in MS. Thus, regulated microRNA were significantly associated with both gene and protein expression of a molecule in immunological pathways. These findings indicate that microRNA may be important regulatory molecules in T-cells in MS.
Project description:MicroRNAs are small noncoding RNA molecules that are involved in the control of gene expression. To investigate the role of microRNA in multiple sclerosis (MS), we performed global microarray analyses of mRNA and microRNA in peripheral blood T-cells from relapsing-remitting MS patients and controls. We identified 2,452 regulated genes and 21 regulated microRNA that differed between MS patients and controls. By Kolmogorov-Smirnov test, 20 of 21 regulated microRNA were shown to affect the expression of their target genes, many of which are involved in the immune system. LIGHT (TNFSF14) was a microRNA target gene significantly decreased in MS. The down-regulation of mir-494 and predicted mRNA-target LIGHT was verified by real-time PCR and we could demonstrate decreased serum levels of LIGHT in MS. Thus, regulated microRNA were significantly associated with both gene and protein expression of a molecule in immunological pathways. These findings indicate that microRNA may be important regulatory molecules in T-cells in MS.
Project description:Whole transcriptome RNA-seq analysis to measure group-wise RNA expression level of the MERTK gene in 3 healthy controls (known to be homozygous non-risk haplotype at MERTK gene locus) and to compare this to the group-wise RNA expression level of the MERTK gene in 5 Multiple Sclerosis-affected (MS-affected) individuals (known to be homozygous for the MS risk haplotype at the MERTK gene locus).
Project description:Whole transcriptome RNA-seq analysis to measure group-wise RNA expression level of the MERTK gene in 3 healthy controls (known to be homozygous non-risk haplotype at MERTK gene locus) and to compare this to the group-wise RNA expression level of the MERTK gene in 5 Multiple Sclerosis-affected (MS-affected) individuals (known to be homozygous for the MS risk haplotype at the MERTK gene locus). We sequenced the whole transcriptome of 3 healthy control samples which were all homozygous for the MS non-risk haplotype at the MERTK gene. We also did the same RNA-seq protocol on 5 MS-affected subjects that were all homozygous for the Risk haplotype at the MERTK gene. All 8 samples were sequenced evenly across 3 lanes of an Illumina HiSeq NGS machine to remove any batch-type effects that could be caused by sequencing e.g. all cases in one lane and all controls in another lane.