ArticlePeerJ2016
Network-based analysis of differentially expressed genes in cerebrospinal fluid (CSF) and blood reveals new candidate genes for multiple sclerosis.
Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 60 citations in OpenAlex.
- Article
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- Identification of shared pathogenic signatures of multiple sclerosis and chronic obstructive pulmonary disease: an integrated transcriptomic analysis of blood specimens.Molecular genetics and genomics : MGG · 2024Article
- Multiscale networks in multiple sclerosis.PLoS computational biology · 2024Article
- Assessment of NB-UVB Effects on Skin of Atopic Dermatitis Patients: A Network Analysis.Journal of lasers in medical sciences · 2024Article
- Article
- Gene network revealsFrontiers in neurology · 2023Article
- Influence of Padina gymnospora on Apoptotic Proteins of Oral Cancer Cells-a Proteome-Wide Analysis.Applied biochemistry and biotechnology · 2022Article
- Imprinted Genes and Multiple Sclerosis: What Do We Know?International journal of molecular sciences · 2021Review
- Protein-Protein Interaction Analysis through Network Topology (Oral Cancer).Journal of healthcare engineering · 2021Article
- Exploring the Reversible Effects of UV Laser Radiation on the Gene Expression Profiles ofJournal of lasers in medical sciences · 2021Article
- Engineered immunological niches to monitor disease activity and treatment efficacy in relapsing multiple sclerosis.Nature communications · 2020Article
- A multidimensional systems biology analysis of cellular senescence in aging and disease.Genome biology · 2020Article
- Identification of common key genes and pathways between type 1 diabetes and multiple sclerosis using transcriptome and interactome analysis.Endocrine · 2020Article
- Centrality Analysis of Protein-Protein Interaction Networks and Molecular Docking Prioritize Potential Drug-Targets in Type 1 Diabetes.Iranian journal of pharmaceutical research : IJPR · 2020Article
- Evaluation of expression of common genes in the intestine and peripheral blood mononuclear cells (PBMC) associated with celiac disease.Gastroenterology and hepatology from bed to bench · 2020Article
- Evaluation of long-term consumption of omeprazole disadvantages: a network analysis.Gastroenterology and hepatology from bed to bench · 2020Article
- Proteome profiling of low grade serous ovarian cancer.Journal of ovarian research · 2019Article
- Introducing tumor necrosis factor as a prominent player in celiac disease and type 1 diabetes mellitus.Gastroenterology and hepatology from bed to bench · 2019Article
- Gene screening of colorectal cancers via network analysis.Gastroenterology and hepatology from bed to bench · 2019Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe involvement of multiple genes and missing heritability, which are dominant in complex diseases such as multiple sclerosis (MS), entail using network biology to better elucidate their molecular basis and genetic factors. We therefore aimed to integrate interactome (protein-protein interaction (PPI)) and transcriptomes data to construct and analyze PPI networks for MS disease.
methodsGene expression profiles in paired cerebrospinal fluid (CSF) and peripheral blood mononuclear cells (PBMCs) samples from MS patients, sampled in relapse or remission and controls, were analyzed. Differentially expressed genes which determined only in CSF (MS
resultsThe networks were analyzed and high centrality genes were identified. Exploration of functional modules and complexes showed that the majority of high centrality genes incorporated in biological pathways driving MS pathogenesis. Proteasome and spliceosome were also noticeable in enriched pathways in PBMCs (relapse DISCUSSION: This study showed that network-based analysis could explicate the complex interplay between biological processes underlying MS. Furthermore, an experimental validation of candidate genes can lead to identification of potential therapeutic targets.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.