Bridging the Gap between Connectome and Transcriptome

被引:209
作者
Fornito, Alex [1 ,2 ]
Arnatkeviciute, Aurina [1 ]
Fulcher, Ben D. [1 ,3 ]
机构
[1] Monash Univ, Brain & Mental Hlth Res Hub, Monash Inst Cognit & Clin Neurosci, Clayton, Vic, Australia
[2] Monash Univ, Monash Biomed Imaging, Clayton, Vic, Australia
[3] Univ Sydney, Sch Phys, Sydney, NSW, Australia
基金
英国医学研究理事会; 澳大利亚研究理事会; 澳大利亚国家健康与医学研究理事会;
关键词
GRAPH-THEORETICAL ANALYSIS; GENE-EXPRESSION PATTERNS; RICH-CLUB ORGANIZATION; MOUSE-BRAIN; FUNCTIONAL CONNECTIVITY; AEROBIC GLYCOLYSIS; NETWORK HUBS; CELL; ATLAS; COST;
D O I
10.1016/j.tics.2018.10.005
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
The recent construction of brain-wide gene expression atlases, which measure the transcriptional activity of thousands of genes in multiple anatomical locations, has made it possible to connect spatial variations in gene expression to distributed properties of connectome structure and function. These analyses have revealed that spatial patterning of gene expression and neuronal connectivity are closely linked, following broad spatial gradients that track regional variations in microcircuitry, inter-regional connectivity, and functional specialisation. Superimposed on these gradients are more specific associations between gene expression and connectome topology that appear conserved across diverse species and different resolution scales. These findings demonstrate the utility of brain-wide gene expression atlases for bridging the gap between molecular function and large-scale connectome organisation in health and disease.
引用
收藏
页码:34 / 50
页数:17
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