ArticleBMC genomics2009
Weighted gene co-expression network analysis of the peripheral blood from Amyotrophic Lateral Sclerosis patients.
Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.
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Who cites it
108 citing papers in PubMed, 211 citations in OpenAlex.
- Multi-Network Co-expression Analysis Enhances Biological Insights from Single-Cell Gene Expression.Interdisciplinary sciences, computational life sciences · 2026Article
- Gene expression signatures from whole blood predict amyotrophic lateral sclerosis case status and survival.Nature communications · 2025Article
- Endometrial receptivity profiled through transcriptomic analysis of uterine fluid extracellular vesicles using systems biology and bayesian modeling for pregnancy prediction.Scientific reports · 2025Article
- Recent Insights into the Roles of PEST-Containing Nuclear Protein.Molecular biotechnology · 2025Review
- The Exon-Based Transcriptomic Analysis of Parkinson's Disease.Biomolecules · 2025Article
- Integrative analysis of immune-related signature profiles in eosinophilic chronic rhinosinusitis with nasal polyposis.FEBS open bio · 2023Article
- RNA sequencing of peripheral blood in amyotrophic lateral sclerosis reveals distinct molecular subtypes: Considerations for biomarker discovery.Neuropathology and applied neurobiology · 2023Article
- Hub genes and their key effects on prognosis of Burkitt lymphoma.World journal of clinical oncology · 2023Article
- Early life nutrition affects the molecular ontogeny of testicular development in the young bull calf.Scientific reports · 2023Article
- Large-scale differentiation of iPSC-derived motor neurons from ALS and control subjects.Neuron · 2023Article
- Gene targeting in amyotrophic lateral sclerosis using causality-based feature selection and machine learning.Molecular medicine (Cambridge, Mass.) · 2023Article
- Comprehensive analysis of Cuproplasia and immune microenvironment in lung adenocarcinoma.Frontiers in pharmacology · 2023Article
- Integrative network-based analysis on multiple Gene Expression Omnibus datasets identifies novel immune molecular markers implicated in non-alcoholic steatohepatitis.Frontiers in endocrinology · 2023Article
- Potential biomarkers of acute myocardial infarction based on co-expression network analysis.Experimental and therapeutic medicine · 2022Article
- Biology of PEST-Containing Nuclear Protein: A Potential Molecular Target for Cancer Research.Frontiers in oncology · 2022Review
- Biological networks and complexity in early-onset motor neuron diseases.Frontiers in neurology · 2022Article
- Causal Inference of Genetic Variants and Genes in Amyotrophic Lateral Sclerosis.Frontiers in genetics · 2022Article
- Identification of Hub Genes Associated With Non-alcoholic Steatohepatitis Using Integrated Bioinformatics Analysis.Frontiers in genetics · 2022Article
- Prognostic Biomarkers in Uveal Melanoma: The Status Quo, Recent Advances and Future Directions.Cancers · 2021Review
- An Integrative Transcriptome-Wide Analysis of Amyotrophic Lateral Sclerosis for the Identification of Potential Genetic Markers and Drug Candidates.International journal of molecular sciences · 2021Article
48 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundAmyotrophic Lateral Sclerosis (ALS) is a lethal disorder characterized by progressive degeneration of motor neurons in the brain and spinal cord. Diagnosis is mainly based on clinical symptoms, and there is currently no therapy to stop the disease or slow its progression. Since access to spinal cord tissue is not possible at disease onset, we investigated changes in gene expression profiles in whole blood of ALS patients.
resultsOur transcriptional study showed dramatic changes in blood of ALS patients; 2,300 probes (9.4%) showed significant differential expression in a discovery dataset consisting of 30 ALS patients and 30 healthy controls. Weighted gene co-expression network analysis (WGCNA) was used to find disease-related networks (modules) and disease related hub genes. Two large co-expression modules were found to be associated with ALS. Our findings were replicated in a second (30 patients and 30 controls) and third dataset (63 patients and 63 controls), thereby demonstrating a highly significant and consistent association of two large co-expression modules with ALS disease status. Ingenuity Pathway Analysis of the ALS related module genes implicates enrichment of functional categories related to genetic disorders, neurodegeneration of the nervous system and inflammatory disease. The ALS related modules contain a number of candidate genes possibly involved in pathogenesis of ALS.
conclusionThis first large-scale blood gene expression study in ALS observed distinct patterns between cases and controls which may provide opportunities for biomarker development as well as new insights into the molecular mechanisms of the disease.
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