共 50 条
Alzheimer's disease rewires gene coexpression networks coupling different brain regions
被引:2
|作者:
Mitra, Sanga
[1
]
Kailash, B. P.
[1
]
Srivatsan, C. R.
[1
]
Saikumar, Naga Venkata
[1
]
Philip, Philge
[2
,3
]
Narayanan, Manikandan
[1
,2
,3
,4
]
机构:
[1] Indian Inst Technol IIT Madras, Dept Comp Sci & Engn, Bioinformat & Integrat Data Sci Grp, Chennai, Tamil Nadu, India
[2] IIT Madras, Ctr Integrat Biol & Syst Med, Chennai, Tamil Nadu, India
[3] IIT Madras, Robert Bosch Ctr Data Sci & Artificial Intelligen, Chennai, Tamil Nadu, India
[4] IIT Madras, Sudha Gopalakrishnan Brain Ctr, Chennai, Tamil Nadu, India
基金:
英国惠康基金;
关键词:
RISK LOCI;
METAANALYSIS;
ASSOCIATION;
MECHANISMS;
EXPRESSION;
KINASE;
D O I:
10.1038/s41540-024-00376-y
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Connectome studies have shown how Alzheimer's disease (AD) disrupts functional and structural connectivity among brain regions. But the molecular basis of such disruptions is less studied, with most genomic/transcriptomic studies performing within-brain-region analyses. To inspect how AD rewires the correlation structure among genes in different brain regions, we performed an Inter-brain-region Differential Correlation (Inter-DC) analysis of RNA-seq data from Mount Sinai Brain Bank on four brain regions (frontal pole, superior temporal gyrus, parahippocampal gyrus and inferior frontal gyrus, comprising 264 AD and 372 control human post-mortem samples). An Inter-DC network was assembled from all pairs of genes across two brain regions that gained (or lost) correlation strength in the AD group relative to controls at FDR 1%. The differentially correlated (DC) genes in this network complemented known differentially expressed genes in AD, and likely reflects cell-intrinsic changes since we adjusted for cell compositional effects. Each brain region used a distinctive set of DC genes when coupling with other regions, with parahippocampal gyrus showing the most rewiring, consistent with its known vulnerability to AD. The Inter-DC network revealed master dysregulation hubs in AD (at genes ZKSCAN1, SLC5A3, RCC1, IL17RB, PLK4, etc.), inter-region gene modules enriched for known AD pathways (synaptic signaling, endocytosis, etc.), and candidate signaling molecules that could mediate region-region communication. The Inter-DC network generated in this study is a valuable resource of gene pairs, pathways and signaling molecules whose inter-brain-region functional coupling is disrupted in AD, thereby offering a new perspective of AD etiology.
引用
收藏
页数:16
相关论文