Title |
Whole-brain 3D mapping of human neural transplant innervation
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Published in |
Nature Communications, January 2017
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DOI | 10.1038/ncomms14162 |
Pubmed ID | |
Authors |
Jonas Doerr, Martin Karl Schwarz, Dirk Wiedermann, Anke Leinhaas, Alina Jakobs, Florian Schloen, Inna Schwarz, Michael Diedenhofen, Nils Christian Braun, Philipp Koch, Daniel A. Peterson, Ulrich Kubitscheck, Mathias Hoehn, Oliver Brüstle |
Abstract |
While transplantation represents a key tool for assessing in vivo functionality of neural stem cells and their suitability for neural repair, little is known about the integration of grafted neurons into the host brain circuitry. Rabies virus-based retrograde tracing has developed into a powerful approach for visualizing synaptically connected neurons. Here, we combine this technique with light sheet fluorescence microscopy (LSFM) to visualize transplanted cells and connected host neurons in whole-mouse brain preparations. Combined with co-registration of high-precision three-dimensional magnetic resonance imaging (3D MRI) reference data sets, this approach enables precise anatomical allocation of the host input neurons. Our data show that the same neural donor cell population grafted into different brain regions receives highly orthotopic input. These findings indicate that transplant connectivity is largely dictated by the circuitry of the target region and depict rabies-based transsynaptic tracing and LSFM as efficient tools for comprehensive assessment of host-donor cell innervation. |
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Country | Count | As % |
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Japan | 2 | 17% |
Russia | 1 | 8% |
Canada | 1 | 8% |
United Kingdom | 1 | 8% |
Unknown | 5 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 58% |
Scientists | 3 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | <1% |
Japan | 1 | <1% |
Sweden | 1 | <1% |
Germany | 1 | <1% |
Unknown | 147 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
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Researcher | 28 | 19% |
Student > Master | 18 | 12% |
Student > Bachelor | 13 | 9% |
Student > Postgraduate | 9 | 6% |
Other | 28 | 19% |
Unknown | 27 | 18% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 26 | 17% |
Biochemistry, Genetics and Molecular Biology | 16 | 11% |
Medicine and Dentistry | 12 | 8% |
Engineering | 6 | 4% |
Other | 15 | 10% |
Unknown | 29 | 19% |