Inhibitory neuron‐specific Cre‐dependent red fluorescent labeling using VGAT BAC‐based transgenic mouse lines with identified transgene integration sites

2018 
Inhibitory neurons are crucial for shaping and regulating the dynamics of the entire network, and disturbances in these neurons contribute to brain disorders. Despite the recent progress in genetic labeling techniques, the heterogeneity of inhibitory neurons requires the development of highly characterized tools that allow accurate, convenient, and versatile visualization of inhibitory neurons in the mouse brain. Here, we report a novel genetic technique to visualize the vast majority and/or sparse subsets of inhibitory neurons in the mouse brain without using techniques that require advanced skills. We developed several lines of Cre-dependent tdTomato reporter mice based on the vesicular GABA transporter (VGAT)-BAC, named VGAT-stop-tdTomato mice. The most useful line (line #54) was selected for further analysis based on two characteristics: the inhibitory neuron-specificity of tdTomato expression and the transgene integration site, which confers efficient breeding and fewer adverse effects resulting from transgene integration-related genomic disruption. Robust and inhibitory neuron-specific expression of tdTomato was observed in a wide range of developmental and cellular contexts. By breeding the VGAT-stop-tdTomato mouse (line #54) with a novel Cre driver mouse line, Galntl4-CreER, sparse labeling of inhibitory neurons was achieved following tamoxifen administration. Furthermore, another interesting line (line #58) was generated through the unexpected integration of the transgene into the X-chromosome and will be used to map X-chromosome inactivation of inhibitory neurons. Taken together, our studies provide new, well-characterized tools with which multiple aspects of inhibitory neurons can be studied in the mouse. This article is protected by copyright. All rights reserved.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    83
    References
    8
    Citations
    NaN
    KQI
    []