ReviewFrontiers in genetics2022
Network approaches for omics studies of neurodegenerative diseases.
Review in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Integrated Metabolomic and Transcriptomic Analyses Reveal Alterations in the Serotonergic Synapse Pathway and a Robust Diagnostic Model in Ulcerative Colitis.Metabolites · 2026Article
- Conserved Pathways, Divergent Outcomes: A Cross-Species Genomic Perspective on the Cancer-Neurodegeneration Paradox.International journal of molecular sciences · 2026Review
- A Meta-analysis to Identify Common Key Genes Across Ageing, Alzheimer's and Parkinson's Diseases.Annals of neurosciences · 2026Article
- Early retinal synaptic dysfunction and proteomic remodeling precede neurodegeneration in a Parkinson's disease model.NPJ Parkinson's disease · 2026Article
- Integrative assessment of RNA sequencing and in silico analysis to pinpoint mRNAs, lncRNAs, and circRNAs interactions with miRNAs underlying arsenic-induced neurotoxicity.BMC genomics · 2025Article
- Mitochondrial and ER stress crosstalk in TBI: mechanistic insights and therapeutic opportunities.Frontiers in cellular neuroscience · 2025Review
- Multiomics Evaluation of Human iPSCs and iPSC-Derived Neurons.Journal of proteome research · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent methodological advances in multi-omics approaches, including genomic, transcriptomic, metabolomic, lipidomic, and proteomic, have revolutionized the research field by generating "big data" which greatly enhanced our understanding of the molecular complexity of the brain and disease states. Network approaches have been routinely applied to single-omics data to provide critical insight into disease biology. Furthermore, multi-omics integration has emerged as both a vital need and a new direction to connect the different layers of information underlying disease mechanisms. In this review article, we summarize popular network analytic approaches for single-omics data and multi-omics integration and discuss how these approaches have been utilized in studying neurodegenerative diseases.
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Registered trials
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.