@article {47897,
	title = {A high-resolution spatiotemporal atlas of gene expression of the developing mouse brain.},
	journal = {Neuron},
	volume = {83},
	year = {2014},
	month = {2014 Jul 16},
	pages = {309-23},
	abstract = {<p>To provide a temporal framework for the genoarchitecture of brain development, we generated in situ hybridization data for embryonic and postnatal mouse brain at seven developmental stages for \~{}2,100 genes, which were processed with an automated informatics pipeline and manually annotated. This resource comprises 434,946 images, seven reference atlases, an ontogenetic ontology, and tools to explore coexpression of genes across neurodevelopment. Gene sets coinciding with developmental phenomena were identified. A temporal shift in the principles governing the molecular organization of the brain was detected, with transient neuromeric, plate-based organization of the brain present at E11.5 and E13.5. Finally, these data provided a transcription factor code that discriminates brain structures and identifies the developmental age of a tissue, providing a foundation for eventual genetic manipulation or tracking of specific brain structures over development. The resource is available as the Allen Developing Mouse Brain Atlas (http://developingmouse.brain-map.org).</p>
},
	keywords = {Animals, Brain, Brain Mapping, Gene Expression, Gene Expression Profiling, Gene Expression Regulation, Developmental, Mice},
	issn = {1097-4199},
	doi = {10.1016/j.neuron.2014.05.033},
	author = {Thompson, Carol L and Ng, Lydia and Menon, Vilas and Martinez, Salvador and Lee, Chang-Kyu and Glattfelder, Katie and Sunkin, Susan M and Henry, Alex and Lau, Christopher and Dang, Chinh and Garcia-Lopez, Raquel and Martinez-Ferre, Almudena and Pombero, Ana and Rubenstein, John L R and Wakeman, Wayne B and Hohmann, John and Dee, Nick and Sodt, Andrew J and Young, Rob and Smith, Kimberly and Nguyen, Thuc-Nghi and Kidney, Jolene and Kuan, Leonard and Jeromin, Andreas and Kaykas, Ajamete and Miller, Jeremy and Page, Damon and Orta, Geri and Bernard, Amy and Riley, Zackery and Smith, Simon and Wohnoutka, Paul and Hawrylycz, Michael J and Puelles, Luis and Jones, Allan R}
}
@article {47904,
	title = {Multi-scale correlation structure of gene expression in the brain.},
	journal = {Neural networks : the official journal of the International Neural Network Society},
	volume = {24},
	year = {2011},
	month = {2011 Nov},
	pages = {933-42},
	abstract = {<p>The mammalian brain is best understood as a multi-scale hierarchical neural system, in the sense that connection and function occur on multiple scales from micro to macro. Modern genomic-scale expression profiling can provide insight into methodologies that elucidate this architecture. We present a methodology for understanding the relationship of gene expression and neuroanatomy based on correlation between gene expression profiles across tissue samples. A resulting tool, NeuroBlast, can identify networks of genes co-expressed within or across neuroanatomic structures. The method applies to any data modality that can be mapped with sufficient spatial resolution, and provides a computation technique to elucidate neuroanatomy via patterns of gene expression on spatial and temporal scales. In addition, from the perspective of spatial location, we discuss a complementary technique that identifies gene classes that contribute to defining anatomic patterns.</p>
},
	keywords = {Algorithms, Animals, Atlases as Topic, Brain, Brain Chemistry, Data Mining, Databases, Genetic, Gene Expression, Mice, Mice, Inbred C57BL, Nerve Tissue Proteins, Tryptophan Hydroxylase},
	issn = {1879-2782},
	doi = {10.1016/j.neunet.2011.06.012},
	author = {Hawrylycz, Mike and Ng, Lydia and Page, Damon and Morris, John and Lau, Chris and Faber, Sky and Faber, Vance and Sunkin, Susan and Menon, Vilas and Lein, Ed and Jones, Allan}
}
