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This Article Full Text Full Text (PDF) Supplemental Materials All Versions of this Article: 22/1/8    most recent 00142.2004v1 Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in ISI Web of Science Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via ISI Web of Science (4) Citing Articles via Google Scholar Google Scholar Articles by Saito, S. Articles by Kato, K. Search for Related Content PubMed PubMed Citation Articles by Saito, S. Articles by Kato, K.

Gene expression profiling of cerebellar development with high-throughput functional analysis

¹ Taisho Laboratory of Functional Genomics, Nara Institute of Science and Technology, and Core Research for Evolutional Science and Technology, Japan Science and Technology Corporation, Tokyo, Japan
² Koken Bioscience Institute, Tokyo, Japan
³ National Cancer Center Research Institute, Tokyo, Japan
⁴ Research Institute, Osaka Medical Center for Cancer and Cardiovascular Diseases, Osaka, Japan

We measured the expression levels of 450 genes during mouse postnatal cerebellar development by quantitative PCR using RNA purified from layers of the cerebellar cortex. Principal component analysis of the data matrix demonstrated that the first and second components corresponded to general levels of gene expression and gene expression patterns, respectively. We introduced 288 of the 450 genes into PC12 cells using a high-throughput transfection assay based on atelocollagen and determined the ability of each gene to promote neurite outgrowth or cell proliferation. Five genes induced neurite outgrowth, and seven genes enhanced proliferation. Evaluation of the functional data and gene expression patterns showed that none of these genes exhibited elevated expression at maturation, suggesting that genes characteristic of mature neurons are not likely to participate in neuronal development. These results demonstrate that functional data can facilitate interpretation of expression profiles and identification of new molecules that participate in biological processes.

adaptor-tagged competitive polymerase chain reaction; cell transfection array