BioGPS
  • Home
  • Help
  • Plugins
  • Datasets
  • Sign Up
  • Login
Examples: Gene Symbol(s), Gene Ontology, Splicing plugins, Melanoma datasets
advanced
Home › Dataset Library › Gene expression profile in CD4+ and CD8+ T cells from identical twins discordant for Multiple sclerosis

Dataset: Gene expression profile in CD4+ and CD8+ T cells from identical twins discordant for Multiple sclerosis

To gain insight into the etiopathogenesis of Multiple sclerosis (MS) we investigated gene expression changes in CD4+ and CD8+ T...

Registered by ArrayExpress Uploader
View Dataset

To gain insight into the etiopathogenesis of Multiple sclerosis (MS) we investigated gene expression changes in CD4+ and CD8+ T lymphocytes from monozygotic twins (MZ) discordant for relapsing remitting MS. We studied 4 monozygotic twin pairs discordant for disease, with the affected co-twin free of disease modifying therapies (F/M = 3/1, mean age 36.25±3.9). Following leukapheresis, CD4+ and CD8+ T cells were separated and studied by Affymetrix GeneChip® For gene expression profiling, peripheral blood mononuclear cell (PBMC) were obtained from leukopheresis by density centrifugation over Ficoll-hypaque according to standard procedures. Briefly, heparinized blood was diluted with 1 volume of RPMI medium and gently layered over the Fycoll. Following centrifugation at 660 g for 30 minutes, cells at the interface of the gradient was collected and washed 3 times. Highly purified CD4+ and CD8+ (purity >95%) cell subsets were then sorted by flow cytometry on MoFlo high speed cell sorter (Beckman Coulter, Fullerton, CA) and frozen in Trizol (Invitrogen). Total RNA was extracted using TRIzol® (Invitrogen), according to the manufacturer's instructions. RNA quality and purity were assessed with the use of the RNA 6000 Nano assay on Agilent 2100 Bioanalyzer (Agilent). Total RNA from each sample was prepared using GeneChip® one Cycle cDNA Synthesis kit and GeneChip® IVT Labeling kit (Affymetrix), according to the manufacturer’s protocols. Briefly, starting from 2.5µg total RNA, biotinylated cRNA was produced by one cycle of reverse transcription and in vitro transcription (IVT). Biotinylated cRNA was fragmented and hybridized for 16 h at 45°C onto GeneChip® Human Genome U133 Plus 2.0 arrays (Affymetrix). The statistical analysis was performed couple by couple using the Rosetta Resolver® system (Rosetta Biosoftware). The fold-change of each gene was calculated by comparing gene expression in the affected twin with that in the unaffected twin and the genes with the same trend in at least 3 twin pairs out of the 4 studied were selected as candidates to be validated by real-time RT-PCR.

Species:
human

Samples:
16

Source:
E-GEOD-16461

Updated:
Dec.12, 2014

Registered:
Sep.12, 2014


Factors: (via ArrayExpress)
Sample DISEASE STATE TWIN CELL TYPE
GSM413790 Healthy T CD4+T
GSM41379 multiple sclerosis T CD4+T
GSM413792 Healthy P CD4+T
GSM413793 multiple sclerosis P CD4+T
GSM413794 multiple sclerosis R CD4+T
GSM413795 Healthy R CD4+T
GSM413796 Healthy U CD4+T
GSM413797 multiple sclerosis U CD4+T
GSM413798 Healthy T CD8+T
GSM413799 multiple sclerosis T CD8+T
GSM413800 Healthy P CD8+T
GSM41380 multiple sclerosis P CD8+T
GSM413802 multiple sclerosis R CD8+T
GSM413803 Healthy R CD8+T
GSM413804 Healthy U CD8+T
GSM413805 multiple sclerosis U CD8+T

Tags

  • cell
  • disease
  • genome
  • multiple sclerosis
  • peripheral
  • peripheral blood mononuclear cell
  • volume

Other Formats

JSON    XML
  • About
  • Blog
  • Help
  • FAQ
  • Downloads
  • API
  • iPhone App
  • Email updates
© 2025 The Scripps Research Institute. All rights reserved. (ver 94eefe6 )
  • Terms of Use