Department of Biomedical Sciences and Research, School of Science, Navrachana University, Gujarat, India
Research Article
In Silico Analysis of Transcriptomic Profiling and Affected Biological Pathways in Multiple Sclerosis
Author(s): Rutvi Vaja*, Harpreet Kaur, Mohit Mazumder and Elia Brodsky
Multiple sclerosis (MS) is a chronic autoimmune, inflammatory neurological disease that is widely associated with Grey and white matter degradation due to the demyelination of axons. Thus exposing the underlying causes of this condition can lead to a novel treatment approach for Multiple Sclerosis. The total RNA microarray processed data from GEO for Multiple Sclerotic (MS) patients was comprehensively analyzed to find out underlying differences between Grey Matter Lesions (GML), Normal Appearing Grey Matter (NAGM), and Control Grey matter at the transcriptomics level. Thus, in the current study, we performed various bioinformatics analyses on transcriptional profiles of 184 samples including 105 NAGM, 37 GML, and 42 Controls obtained from the NCBI-Bio project (PRJNA543111). First, exploratory data analysis based on gene expression data using Principal Component Analysis (PCA) depicte.. View More»
DOI:
10.35248/IGOA.22.7.167