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Transcriptional regulation of the Ciona Gsx gene in the neural plate

Research output: Contribution to journalArticle

Open Access Status

  • Embargoed (until 21/12/19)

Author(s)

Clare Hudson, Rosaria Esposito, Antonio Palladino, Leopoldo Staiano, David Ferrier, Emmanuel Faure, Patrick Lemaire, Hitoyoshi Yasuo, Antonietta Spagnuolo

School/Research organisations

Abstract

The ascidian neural plate consists of a defined number of identifiable cells organized in a grid of rows and columns, representing a useful model to investigate the molecular mechanisms controlling neural patterning in chordates. Distinct anterior brain lineages are specified via unique combinatorial inputs of signalling pathways with Nodal and Delta-Notch signals patterning along the medial-lateral axis and FGF/MEK/ERK signals patterning along the anterior-posterior axis of the neural plate. The Ciona Gsx gene is specifically expressed in the a9.33 cells in the row III/column 2 position of anterior brain lineages, characterised by a combinatorial input of Nodal-OFF, Notch-ON and FGF-ON. Here, we identify the minimal cis-regulatory element (CRE) of 376 bp, which can recapitulate the early activation of Gsx. We show that this minimal CRE responds in the same way as the endogenous Gsx gene to manipulation of FGF- and Notch-signalling pathways and to overexpression of Snail, a mediator of Nodal signals, and Six3/6, which is required to demarcate the anterior boundary of Gsx expression at the late neurula stage. We reveal that sequences proximal to the transcription start site include a temporal regulatory element required for the precise transcriptional onset of gene expression. We conclude that sufficient spatial and temporal information for Gsx expression is integrated in 376 bp of non-coding cis-regulatory sequences.
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Details

Original languageEnglish
JournalDevelopmental Biology
VolumeIn press
Early online date21 Dec 2018
DOIs
StateE-pub ahead of print - 21 Dec 2018

    Research areas

  • Ascidian, Ciona, Gsx, Transcriptional regulation, Promoter, Neural patterning, Para-hox

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