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连接组学与转录组学之间的桥梁。

Bridging the Gap between Connectome and Transcriptome.

机构信息

Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Victoria, Australia; Monash Biomedical Imaging, Monash University, Victoria, Australia.

Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Victoria, Australia.

出版信息

Trends Cogn Sci. 2019 Jan;23(1):34-50. doi: 10.1016/j.tics.2018.10.005. Epub 2018 Nov 16.

DOI:10.1016/j.tics.2018.10.005
PMID:30455082
Abstract

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.

摘要

最近构建的全脑基因表达图谱可测量数千个基因在多个解剖位置的转录活性,从而使我们能够将基因表达的空间变化与连接组结构和功能的分布式特性联系起来。这些分析表明,基因表达和神经元连接的空间模式密切相关,遵循广泛的空间梯度,这些梯度跟踪微电路、区域间连接和功能特化的区域变化。在这些梯度上叠加着基因表达与连接组拓扑之间更具体的关联,这些关联在不同物种和不同分辨率尺度上似乎是保守的。这些发现证明了全脑基因表达图谱在弥合健康和疾病状态下分子功能和大规模连接组组织之间差距的实用性。

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