Integrating Multi-omics to Identify Age-Related Macular Degeneration Subtypes and Biomarkers DOI Creative Commons

Shenglai Zhang,

Ying Yang, Jia Chen

et al.

Journal of Molecular Neuroscience, Journal Year: 2024, Volume and Issue: 74(3)

Published: Aug. 7, 2024

Age-related macular degeneration (AMD) is one of the most common causes irreversible vision loss in elderly. Its pathogenesis likely multifactorial, involving a complex interaction metabolic and environmental factors, remains poorly understood. Previous studies have shown that mitochondrial dysfunction oxidative stress play crucial role development AMD. Oxidative damage to retinal pigment epithelium (RPE) has been identified as major mediators age-related (AMD). Therefore, this article combines transcriptome sequencing (RNA-seq) single-cell (scRNA-seq) data explore mitochondria-related genes (MRGs) Firstly, differential expression analysis was performed on raw RNA-seq data. The intersection differentially expressed (DEGs) MRGs performed. This paper proposes deep subspace nonnegative matrix factorization (DS-NMF) algorithm perform multi-layer nonlinear transformation gene profiles corresponding AMD samples. age patients used prior information at network's top level change distribution. classification based reconstructed with altered types obtained significantly differ scores multiple immune-related pathways immune cell infiltration abundance. Secondly, an optimal diagnosis model constructed using machine learning algorithms for external qRT-PCR verification. Finally, ten potential therapeutic drugs were cMAP analysis. subtypes diagnostic can provide reference treating discovering new drug targets.

Language: Английский

Integrating Multi-omics to Identify Age-Related Macular Degeneration Subtypes and Biomarkers DOI Creative Commons

Shenglai Zhang,

Ying Yang, Jia Chen

et al.

Journal of Molecular Neuroscience, Journal Year: 2024, Volume and Issue: 74(3)

Published: Aug. 7, 2024

Age-related macular degeneration (AMD) is one of the most common causes irreversible vision loss in elderly. Its pathogenesis likely multifactorial, involving a complex interaction metabolic and environmental factors, remains poorly understood. Previous studies have shown that mitochondrial dysfunction oxidative stress play crucial role development AMD. Oxidative damage to retinal pigment epithelium (RPE) has been identified as major mediators age-related (AMD). Therefore, this article combines transcriptome sequencing (RNA-seq) single-cell (scRNA-seq) data explore mitochondria-related genes (MRGs) Firstly, differential expression analysis was performed on raw RNA-seq data. The intersection differentially expressed (DEGs) MRGs performed. This paper proposes deep subspace nonnegative matrix factorization (DS-NMF) algorithm perform multi-layer nonlinear transformation gene profiles corresponding AMD samples. age patients used prior information at network's top level change distribution. classification based reconstructed with altered types obtained significantly differ scores multiple immune-related pathways immune cell infiltration abundance. Secondly, an optimal diagnosis model constructed using machine learning algorithms for external qRT-PCR verification. Finally, ten potential therapeutic drugs were cMAP analysis. subtypes diagnostic can provide reference treating discovering new drug targets.

Language: Английский

Citations

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