A gene expression atlas of the central nervous system based on bacterial artificial chromosomes
Shiaoching Gong,
Chen Zheng,
Martin L. Doughty,
Kasia Losos,
Nicholas Didkovsky,
Uta B. Schambra,
Norma J. Nowak,
Alexandra Joyner,
Gabrielle Leblanc,
Mary E. Hatten () and
Nathaniel Heintz ()
Additional contact information
Shiaoching Gong: Howard Hughes Medical Institute, The Rockefeller University
Chen Zheng: Howard Hughes Medical Institute, The Rockefeller University
Martin L. Doughty: Howard Hughes Medical Institute, The Rockefeller University
Kasia Losos: Howard Hughes Medical Institute, The Rockefeller University
Nicholas Didkovsky: The Rockefeller University
Uta B. Schambra: East Tennessee State University
Norma J. Nowak: Roswell Park Cancer Institute
Alexandra Joyner: New York University School of Medicine and Howard Hughes Medical Institute
Gabrielle Leblanc: National Institute of Neurological Disorders and Stroke, NIH
Mary E. Hatten: The Rockefeller University
Nathaniel Heintz: Howard Hughes Medical Institute, The Rockefeller University
Nature, 2003, vol. 425, issue 6961, 917-925
Abstract:
Abstract The mammalian central nervous system (CNS) contains a remarkable array of neural cells, each with a complex pattern of connections that together generate perceptions and higher brain functions. Here we describe a large-scale screen to create an atlas of CNS gene expression at the cellular level, and to provide a library of verified bacterial artificial chromosome (BAC) vectors and transgenic mouse lines that offer experimental access to CNS regions, cell classes and pathways. We illustrate the use of this atlas to derive novel insights into gene function in neural cells, and into principal steps of CNS development. The atlas, library of BAC vectors and BAC transgenic mice generated in this screen provide a rich resource that allows a broad array of investigations not previously available to the neuroscience community.
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:425:y:2003:i:6961:d:10.1038_nature02033
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DOI: 10.1038/nature02033
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