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

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

1 Apr 2021

Abstract excerpt

BACKGROUND: Multiple sclerosis (MS) is a central nervous system disease with a high disability rate. Modern molecular biology techniques have identified a number of key genes and diagnostic markers to MS, but the etiology and pathogenesis of MS remain unknown. RESULTS: In this study, the integration of three peripheral blood mononuclear cell (PBMC) microarray datasets and one peripheral blood T cells microarray...

Read the complete abstract on PubMed

Topics

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

Share to Chemokine receptors and signaling
Share to Multiple Sclerosis Research Studies
Share to vaccines and immunoinformatics approaches

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33795012
DOI: 10.1186/s40659-021-00334-6

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 20 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of blood-derived candidate gene markers and a new 7-gene diagnostic model for multiple sclerosisPMID 33795012Read ↗

Identification of Potential Blood-based Biomarkers 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 ↗

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

Bioinformatics analysis of the potential biomarkers of Multiple Sclerosis and Guillain-Barré syndromeSemantic proximity Read ↗

Integration of Genetic and Immune Infiltration Insights into Data Mining of Multiple Sclerosis PathogenesisSemantic 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 ↗

Exploring the shared gene signatures and mechanism among three autoimmune diseases by bulk RNA sequencing integrated with single-cell RNA sequencing analysisSemantic proximity Read ↗

Integrated multi-omics and machine learning prioritize key immune genes for multiple sclerosis risk prediction.Semantic proximity Read ↗

Identifying common genes, proteins, and pathways from human miRNA and gene blood profiles in multiple sclerosis patientsSemantic proximity Read ↗

Immune cell infiltration characteristics and related core genes of bioinformatic analysis in multiple sclerosisSemantic proximity Read ↗

[Recent prognosis on etiology and pathophysiology of multiple sclerosis].Semantic proximity Read ↗

Comparing Single-Cell Transcriptomes of Blood and Cerebrospinal Fluid Leukocytes in Multiple SclerosisSemantic proximity Read ↗

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