| Literature DB >> 17151600 |
Ed S Lein1, Michael J Hawrylycz, Nancy Ao, Mikael Ayres, Amy Bensinger, Amy Bernard, Andrew F Boe, Mark S Boguski, Kevin S Brockway, Emi J Byrnes, Lin Chen, Li Chen, Tsuey-Ming Chen, Mei Chi Chin, Jimmy Chong, Brian E Crook, Aneta Czaplinska, Chinh N Dang, Suvro Datta, Nick R Dee, Aimee L Desaki, Tsega Desta, Ellen Diep, Tim A Dolbeare, Matthew J Donelan, Hong-Wei Dong, Jennifer G Dougherty, Ben J Duncan, Amanda J Ebbert, Gregor Eichele, Lili K Estin, Casey Faber, Benjamin A Facer, Rick Fields, Shanna R Fischer, Tim P Fliss, Cliff Frensley, Sabrina N Gates, Katie J Glattfelder, Kevin R Halverson, Matthew R Hart, John G Hohmann, Maureen P Howell, Darren P Jeung, Rebecca A Johnson, Patrick T Karr, Reena Kawal, Jolene M Kidney, Rachel H Knapik, Chihchau L Kuan, James H Lake, Annabel R Laramee, Kirk D Larsen, Christopher Lau, Tracy A Lemon, Agnes J Liang, Ying Liu, Lon T Luong, Jesse Michaels, Judith J Morgan, Rebecca J Morgan, Marty T Mortrud, Nerick F Mosqueda, Lydia L Ng, Randy Ng, Geralyn J Orta, Caroline C Overly, Tu H Pak, Sheana E Parry, Sayan D Pathak, Owen C Pearson, Ralph B Puchalski, Zackery L Riley, Hannah R Rockett, Stephen A Rowland, Joshua J Royall, Marcos J Ruiz, Nadia R Sarno, Katherine Schaffnit, Nadiya V Shapovalova, Taz Sivisay, Clifford R Slaughterbeck, Simon C Smith, Kimberly A Smith, Bryan I Smith, Andy J Sodt, Nick N Stewart, Kenda-Ruth Stumpf, Susan M Sunkin, Madhavi Sutram, Angelene Tam, Carey D Teemer, Christina Thaller, Carol L Thompson, Lee R Varnam, Axel Visel, Ray M Whitlock, Paul E Wohnoutka, Crissa K Wolkey, Victoria Y Wong, Matthew Wood, Murat B Yaylaoglu, Rob C Young, Brian L Youngstrom, Xu Feng Yuan, Bin Zhang, Theresa A Zwingman, Allan R Jones.
Abstract
Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function.Entities:
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Year: 2006 PMID： 17151600 DOI： 10.1038/nature05453
Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 49.962