ArticleScientific data2019
Brain-wide distribution of reporter expression in five transgenic tetracycline-transactivator mouse lines.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- CalciMAP: High-resolution images showing calbindin- and parvalbumin-expressing neurons across the developing and adult mouse brain.Scientific data · 2026Article
- Neuronal subtype governs amyloid structure, cellular response, and cognitive outcome in genetically targeted APP mouse models.Molecular neurodegeneration · 2026Article
- Sensitive dLight3 for imaging broad-spectrum dopamine events across brain regions.Research square · 2025Article
- DeepSlice: rapid fully automatic registration of mouse brain imaging to a volumetric atlas.Nature communications · 2023Article
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Authors and funding
8 authors.
Funding
Abstract
The spatial pattern of transgene expression in tetracycline-controlled mouse models is governed primarily by the driver line used to introduce the tetracycline-controlled transactivator (tTA). Detailed maps showing where each tTA driver activates expression are therefore essential for designing and using tet-regulated models, particularly in brain research where cell type and regional specificity determine the circuits affected by conditional gene expression. We have compiled a comprehensive online repository of serial microscopic images showing brain-wide reporter expression for five commonly used tTA driver lines. We have spatially registered all images to a common three-dimensional mouse brain anatomical reference atlas for direct comparison of spatial distribution across lines. The high-resolution images and associated metadata are shared via the web page of the EU Human Brain Project. Images can be inspected using an interactive viewing tool that includes an optional overlay feature providing anatomical delineations and reference atlas coordinates. Interactive viewing is supplemented by semi-quantitative analyses of expression levels within anatomical subregions for each tTA driver line.
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