Article

Nature 445, 168-176 (11 January 2007) | doi:10.1038/nature05453; Received 28 July 2006; Accepted 15 November 2006; Published online 6 December 2006

Genome-wide atlas of gene expression in the adult mouse brain

Ed S. Lein1,4, Michael J. Hawrylycz1,4, Nancy Ao2, Mikael Ayres1, Amy Bensinger1, Amy Bernard1, Andrew F. Boe1, Mark S. Boguski1,5, Kevin S. Brockway1, Emi J. Byrnes1, Lin Chen1, Li Chen2, Tsuey-Ming Chen2, Mei Chi Chin1, Jimmy Chong1, Brian E. Crook1, Aneta Czaplinska2, Chinh N. Dang1, Suvro Datta1, Nick R. Dee1, Aimee L. Desaki1, Tsega Desta1, Ellen Diep1, Tim A. Dolbeare1, Matthew J. Donelan1, Hong-Wei Dong1, Jennifer G. Dougherty1, Ben J. Duncan1, Amanda J. Ebbert1, Gregor Eichele3, Lili K. Estin1, Casey Faber1, Benjamin A. Facer1, Rick Fields2, Shanna R. Fischer1, Tim P. Fliss1, Cliff Frensley1, Sabrina N. Gates1, Katie J. Glattfelder1, Kevin R. Halverson1, Matthew R. Hart1, John G. Hohmann1, Maureen P. Howell1, Darren P. Jeung1, Rebecca A. Johnson1, Patrick T. Karr1, Reena Kawal1, Jolene M. Kidney1, Rachel H. Knapik1, Chihchau L. Kuan1, James H. Lake1, Annabel R. Laramee1, Kirk D. Larsen1, Christopher Lau1, Tracy A. Lemon1, Agnes J. Liang2, Ying Liu2, Lon T. Luong1, Jesse Michaels1, Judith J. Morgan1, Rebecca J. Morgan1, Marty T. Mortrud1, Nerick F. Mosqueda1, Lydia L. Ng1, Randy Ng1, Geralyn J. Orta1, Caroline C. Overly1, Tu H. Pak1, Sheana E. Parry1, Sayan D. Pathak1, Owen C. Pearson1, Ralph B. Puchalski1, Zackery L. Riley1, Hannah R. Rockett1, Stephen A. Rowland1, Joshua J. Royall1, Marcos J. Ruiz2, Nadia R. Sarno1, Katherine Schaffnit1, Nadiya V. Shapovalova1, Taz Sivisay1, Clifford R. Slaughterbeck1, Simon C. Smith1, Kimberly A. Smith1, Bryan I. Smith1, Andy J. Sodt1, Nick N. Stewart1, Kenda-Ruth Stumpf1, Susan M. Sunkin1, Madhavi Sutram1, Angelene Tam2, Carey D. Teemer1, Christina Thaller2, Carol L. Thompson1, Lee R. Varnam1, Axel Visel3,5, Ray M. Whitlock1, Paul E. Wohnoutka1, Crissa K. Wolkey1, Victoria Y. Wong1, Matthew Wood2, Murat B. Yaylaoglu2, Rob C. Young1, Brian L. Youngstrom1, Xu Feng Yuan1, Bin Zhang2, Theresa A. Zwingman1 & Allan R. Jones1

  1. Allen Institute for Brain Science, Seattle, Washington 98103, USA
  2. Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas 77030, USA
  3. Department of Genes and Behavior, Max Planck Institute of Biophysical Chemistry, 37077 Goettingen, Germany
  4. These authors contributed equally to this work.
  5. Present addresses: Division of Genome and Proteome Sciences, Novartis Institutes for Biomedical Research, 250 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA (M.S.B.); Lawrence Berkeley National Laboratory, Genomics Division, MS84-171, 1 Cyclotron Road, Berkeley, California 94720, USA (A.V.).

Correspondence to: Ed S. Lein1,4Allan R. Jones1 Correspondence and requests for materials should be addressed to E.S.L. (Email: edl@alleninstitute.org) or A.R.J. (Email: allanj@alleninstitute.org).

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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 approx20,000 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.

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