ArticleSleep & breathing = Schlaf & Atmung2021
Identification of hub genes correlated with sleep deprivation using co-expression analysis.
Article in Sleep & breathing = Schlaf & Atmung, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Investigating molecular background of multiple sclerosis through multi-omics: linking via psychoneuroimmunology.Acta neurologica Belgica · 2025Article
- Molecular basis identification and hypnotic drug interactions for cognitive impairment related to sleep deprivation.BMC psychiatry · 2025Article
- Altered hippocampal transcriptome dynamics following sleep deprivation.Molecular brain · 2021Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSleep deprivation (SD) has become a serious concern worldwide. This study aimed to identify key modules and candidate hub genes correlated with diseases caused by SD, using co-expression analysis.
methodsThe weighted gene co-expression network analysis was performed to construct a co-expression network of hub genes correlated with SD. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed to search for signaling pathways. The protein-protein interaction network analysis of central genes was performed to recognize the interactions among central genes. Molecular Complex Detection, a plugin in Cytoscape, was used to discover the hub gene clusters involved in SD.
resultsA total of 564 genes in the yellow module were identified based on the results of topological overlap measure-based clustering. The yellow module showed a pivotal correlation with SD. Six hub gene clusters prominently associated with SD were identified. Heat shock protein family and circadian clock genes among them may be the hub genes involved in SD.
conclusionsThese genes and pathways might become therapeutic targets with clinical usefulness in the future.
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Registered trials
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