Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Investigation of multiple sclerosis-related pathways through the integration of genomic and proteomic data.

PeerJ - 1 Jan 2021

Everest Elif, Ülgen Ege, Uygunoglu Ugur, Tutuncu Melih, Saip Sabahattin, Sezerman Osman Uğur, Siva Aksel, Tahir Turanli Eda

Abstract excerpt

Background: Multiple sclerosis (MS) has a complex pathophysiology, variable clinical presentation, and unpredictable prognosis; understanding the underlying mechanisms requires combinatorial approaches that warrant the integration of diverse molecular omics data. Methods: Here, we combined genomic and proteomic data of the same individuals among a Turkish MS patient group to search for biologically important...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Case-Control Studies
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Multiple Sclerosis

Share to Polymorphism, Single Nucleotide

Share to Proteomics

Share to Turkey

Source

Open in PubMed Open full text

Identifiers

PMID: 39544199
DOI: 10.7717/peerj.11922
PMCID: PMC11563213

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Investigation of multiple sclerosis-related pathways through the integration of genomic and proteomic data.PMID 39544199Read ↗

Identification of novel drug targets for multiple sclerosis by integrating plasma genetics and proteomes.Semantic proximity Read ↗

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

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 FactorsSemantic proximity Read ↗

Multiomics integration prioritizes potential drug targets for multiple sclerosisSemantic proximity Read ↗

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

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

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

Molecular network of the comprehensive multiple sclerosis brain-lesion proteomeSemantic proximity Read ↗

Bioinformatics approach to identifying molecular biomarkers and networks in multiple sclerosisSemantic proximity Read ↗

Integrating genome-wide association studies and gene expression data highlights dysregulated multiple sclerosis risk pathways.Semantic proximity Read ↗

CSF Proteomics Identifies Specific and Shared Pathways for Multiple Sclerosis Clinical SubtypesSemantic proximity Read ↗

Quantitative proteomics and multi-omics analysis identifies potential biomarkers and the underlying pathological molecular networks in Chinese patients with multiple sclerosisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.