Article

Unveiling the Molecular Landscape: Network Analysis of Genes, Proteins, and Transcription Factors in Primary Progressive and Secondary Progressive Multiple Sclerosis for Unraveling Disease Progression and Prognostic Factors

2023-07-13

Abstract excerpt

Multiple sclerosis (MS) is a chronic autoimmune disease characterized by the destruction of the myelin sheath in the central nervous system (CNS), leading to various neurological symptoms. The disease has different types, including relapsing-remitting MS (RRMS), secondary progressive MS (SPMS), primary progressive MS (PPMS), and progressive-relapsing MS (PRMS), each with its own clinical characteristics and progno...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3a92bb30-8cca-5af7-98dc-86574b54fefc
DOI: 10.21203/rs.3.rs-3144857/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Unveiling the Molecular Landscape: Network Analysis of Genes, Proteins, and Transcription Factors in Primary Progressive and Secondary Progressive Multiple Sclerosis for Unraveling Disease Progression and Prognostic FactorsDOI 10.21203/rs.3.rs-3144857/v1Read

Network-based analysis of differentially expressed genes in cerebrospinal fluid (CSF) and blood reveals new candidate genes for multiple sclerosisSemantic proximity Read

In silico Analysis of Transcriptomic Profiling and Affected Biological pathways in Multiple SclerosisSemantic proximity Read

Integrative analysis of Multiple Sclerosis using a systems biology approachSemantic proximity Read

Identification of Potential Blood-based Biomarkers for Multiple SclerosisSemantic proximity Read

A Transcription Factor Map as Revealed by a Genome-Wide Gene Expression Analysis of Whole-Blood mRNA Transcriptome in Multiple SclerosisSemantic proximity Read

Bioinformatic Analysis of Expression Data from Patients with Multiple SclerosisSemantic proximity Read

Identification of blood-derived candidate gene markers and a new 7-gene diagnostic model for multiple sclerosisSemantic proximity Read

Network-based multiple sclerosis pathway analysis with GWAS data from 15,000 cases and 30,000 controls.Semantic proximity Read

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysisSemantic proximity Read

Global transcriptome profiling of mild relapsing‐remitting versus primary progressive multiple sclerosisSemantic proximity Read

Multi-omics integration prioritizes potential drug targets for multiple sclerosisSemantic proximity Read

Identification of ferroptosis-related gene signatures associated with multiple sclerosis using weighted gene co-expression network analysisSemantic proximity Read