Related Experiment Video
Updated: Jul 15, 2026

09:08
Isolating Human Peripheral Blood Mononuclear Cells and CD4+ T cells from Sézary Syndrome Patients for Transcriptomic Profiling
Published on: October 14, 2021
Gene expression changes in peripheral blood mononuclear cells from multiple sclerosis patients undergoing
M K Singh1, T F Scott, W A LaFramboise
1Center for Genomic Sciences, Allegheny Singer Research Institute, 320 E. North Avenue, Pittsburgh, PA 15212, USA.
Journal of the Neurological Sciences
|May 1, 2007
Summary
Researchers identified 136 genes linked to beta interferon (IFN) response in multiple sclerosis (MS) patients. These genes may explain treatment outcomes and offer new therapeutic targets for MS.
Area of Science:
- Neuroimmunology
- Molecular Biology
- Pharmacogenomics
Background:
- Multiple sclerosis (MS) is an inflammatory autoimmune disease affecting the central nervous system.
- Current treatments for MS include beta-interferon (IFN) therapies, but response varies among patients.
- Understanding the molecular basis of beta-IFN response is crucial for optimizing MS treatment.
Purpose of the Study:
- To identify gene expression biomarkers associated with beta-interferon (IFN) responsiveness in relapsing-remitting multiple sclerosis (MS) patients.
- To analyze gene expression patterns in peripheral blood mononuclear cells (PBMCs) of MS patients before and during beta-IFN-1a therapy.
- To discover potential molecular targets for improving beta-IFN therapy efficacy in MS.
Main Methods:
- Longitudinal analysis of gene expression using oligonucleotide microarrays.
- Comparative analysis of PBMCs from five relapsing-remitting MS patients undergoing beta-IFN-1a treatment.
- Statistical analysis to identify differentially expressed genes (two-fold change threshold).
Main Results:
- A set of 136 genes was identified as differentially expressed between pre-treatment and post-treatment MS patient samples.
- Gene expression profiles clustered distinctively, separating pre-treatment samples from those post-treatment.
- Non-responder patient samples showed gene expression patterns similar to pre-treatment, suggesting a reversal of beta-IFN effects.
Conclusions:
- The identified 136 genes are potential biomarkers for predicting beta-IFN response in MS.
- These genes may serve as novel therapeutic targets for developing more effective MS treatments.
- Understanding gene expression patterns can elucidate the mechanisms behind non-response to beta-IFN therapy in MS.
