BioGPS
  • Home
  • Help
  • Plugins
  • Datasets
  • Sign Up
  • Login
Examples: Gene Symbol(s), Gene Ontology, Splicing plugins, Melanoma datasets
advanced
Home › Dataset Library › Expression data from peripheral blood mononuclear cells in multiple sclerosis patients and controls

Dataset: Expression data from peripheral blood mononuclear cells in multiple sclerosis patients and controls

Multiple sclerosis (MS) is a neurodegenerative disease with a presumed autoimmune component. Expression profiling in immune cells can...

Registered by ArrayExpress Uploader
View Dataset

Multiple sclerosis (MS) is a neurodegenerative disease with a presumed autoimmune component. Expression profiling in immune cells can therefore be used in order to identify genes and pathways involved in MS pathogenesis. We conducted a genome-wide expression study in peripheral blood mononuclear cells (PBMC) from 12 MS patients and 15 controls in order to identify differentially expressed genes and pathways in MS. PBMCs were isolated from whole blood and total RNA was extracted.

Species:
human

Samples:
29

Source:
E-GEOD-21942

Updated:
Dec.12, 2014

Registered:
Sep.15, 2014


Factors: (via ArrayExpress)
Sample DISEASE STATE
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545818 healthy
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis
GSM545833 multiple sclerosis

Tags

  • disease
  • genome
  • multiple sclerosis
  • neurodegenerative disease
  • peripheral

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