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Analyses of single-cell and bulk RNA sequencing combined with machine learning reveal the expression patterns of disrupted mitophagy in schizophrenia

Bibliographic Data

ID15519501
AuthorsWei Yang (0000-0001-7249-4386, First Affiliated Hospital of Kunming Medical University), Kun Lian (0000-0001-7557-9967, Kunming Medical University), Jing Ye (0000-0002-3971-2780, Kunming Medical University), Yuqi Cheng (0000-0003-4574-7063, Yunnan Machinery Research and Design Institute), Xiufeng Xu (0000-0001-6329-311X, Kunming Medical University, corresponding author)
Year2024
Volume15
Pages1429437-1429437
Publication date2024-09-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2024.1429437
PMID39355378
OpenAlexW4402604827
LanguageEN
References cited52

We identified a mitophagy signature for schizophrenia that provides new insights into disease pathogenesis and new possibilities for its diagnosis and treatment

Autophagy · Biology · Cell · Mitophagy · Pathogenesis · Schizophrenia (object-oriented programming · Medicine · Neuroinflammation and Neurodegeneration Mechanisms · Neuroscience · Single-cell and spatial transcriptomics · Tryptophan and brain disorders · Cell Biology · Genetics · Immunology

  • Ggplot2

    Open Access•Hadley Wickham•Ggplot2•2016

  • Wgcna

    Open Access•Peter Langfelder, Steve Horvath•BMC Bioinformatics•2008

  • Limma powers differential expression analyses for RNA-sequencing and microarray studies

    Open Access•Matthew E Ritchie, Belinda Phipson et al.•Nucleic Acids Research•2015

Citation velocityhistorical
Highly citedNo

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