Identification of novel cerebellar developmental transcriptional regulators with motif activity analysis

The work of the FANTOM5 Consortium has brought forth a new level of understanding of the regulation of gene transcription and the cellular processes involved in creating diversity of cell types. In this study, we extended the analysis of the FANTOM5 Cap Analysis of Gene Expression (CAGE) transcripto...

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Veröffentlicht in:BMC GENOMICS 2019-09, Vol.20 (1), p.718-718, Article 718
Hauptverfasser: Ha, Thomas J, Zhang, Peter G Y, Robert, Remi, Yeung, Joanna, Swanson, Douglas J, Mathelier, Anthony, Wasserman, Wyeth W, Im, Sujin, Itoh, Masayoshi, Kawaji, Hideya, Lassmann, Timo, Daub, Carsten O, Arner, Erik, Carninci, Piero, Hayashizaki, Yoshihide, Forrest, Alistair R R, Goldowitz, Daniel
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Sprache:eng
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Zusammenfassung:The work of the FANTOM5 Consortium has brought forth a new level of understanding of the regulation of gene transcription and the cellular processes involved in creating diversity of cell types. In this study, we extended the analysis of the FANTOM5 Cap Analysis of Gene Expression (CAGE) transcriptome data to focus on understanding the genetic regulators involved in mouse cerebellar development. We used the HeliScopeCAGE library sequencing on cerebellar samples over 8 embryonic and 4 early postnatal times. This study showcases temporal expression pattern changes during cerebellar development. Through a bioinformatics analysis that focused on transcription factors, their promoters and binding sites, we identified genes that appear as strong candidates for involvement in cerebellar development. We selected several candidate transcriptional regulators for validation experiments including qRT-PCR and shRNA transcript knockdown. We observed marked and reproducible developmental defects in Atf4, Rfx3, and Scrt2 knockdown embryos, which support the role of these genes in cerebellar development. The successful identification of these novel gene regulators in cerebellar development demonstrates that the FANTOM5 cerebellum time series is a high-quality transcriptome database for functional investigation of gene regulatory networks in cerebellar development.
ISSN:1471-2164
1471-2164
DOI:10.1186/s12864-019-6063-9