A Transcriptomic Atlas of Mouse Neocortical Layers

被引:224
作者
Belgard, T. Grant [1 ,2 ,3 ]
Marques, Ana C. [2 ]
Oliver, Peter L. [2 ]
Abaan, Hatice Ozel [3 ]
Sirey, Tamara M. [1 ,2 ]
Hoerder-Suabedissen, Anna [1 ]
Garcia-Moreno, Fernando [1 ]
Molnar, Zoltan [1 ]
Margulies, Elliott H. [3 ]
Ponting, Chris P. [2 ]
机构
[1] Univ Oxford, Dept Physiol Anat & Genet, Oxford OX1 3QX, England
[2] Univ Oxford, MRC Funct Genom Unit, Oxford OX1 3QX, England
[3] NHGRI, Genome Technol Branch, NIH, Bethesda, MD 20892 USA
基金
英国惠康基金; 英国生物技术与生命科学研究理事会;
关键词
LONG NONCODING RNAS; GENE-EXPRESSION; NMDA RECEPTORS; NEURONS; LOCALIZATION; EVOLUTION; RESOURCE; DATABASE; SUBPOPULATIONS; CONSERVATION;
D O I
10.1016/j.neuron.2011.06.039
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
In the mammalian cortex, neurons and glia form a patterned structure across six layers whose complex cytoarchitectonic arrangement is likely to contribute to cognition. We sequenced transcriptomes from layers 1-6b of different areas (primary and secondary) of the adult (postnatal day 56) mouse somatosensory cortex to understand the transcriptional levels and functional repertoires of coding and noncoding loci for cells constituting these layers. A total of 5,835 protein-coding genes and 66 noncoding RNA loci are differentially expressed ("patterned") across the layers, on the basis of a machine-learning model (naive Bayes) approach. Layers 2-6b are each associated with specific functional and disease annotations that provide insights into their biological roles. This new resource (http://genserv.anat.ox.ac.uk/layers) greatly extends currently available resources, such as the Allen Mouse Brain Atlas and microarray data sets, by providing quantitative expression levels, by being genome-wide, by including novel loci, and by identifying candidate alternatively spliced transcripts that are differentially expressed across layers.
引用
收藏
页码:605 / 616
页数:12
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