Understanding the computations that take place in brain circuits will require identifying the wiring diagrams of those circuits. In recent years seveal new methods have been developed to identify the brain's wiring diagrams. Each of these methods have some strengths and limitations. Importantly, there is no available anterograde monosynaptic tracer that can be used to regulate gene expression of synaptically connected neurons in species ranging from drosophila to mice. We propose to develop and validate a new genetically-encoded system to trace brain circuits by transsynaptic control of transcription that could overcome some of the limitations of the currently available strategies. We anticipate that this tool will open new opportunities for investigating the relationship between connectivity of neuronal circuits and brain function. The strategy that we propose is based on ligand- induced intramembrane proteolysis. In this system, neurons expressing an artificial ligand (emitter neurons) activate an engineered receptor on their synaptic partners (receiver neurons). Upon ligand-receptor interaction in synaptic sites, the engineered receptor is cleaved in its transmembrane domain and releases a protein fragment that regulates transcription in the synaptic partners. Our initial experiments in vivo, in transgenic drosophila, have confirmed the feasibility of this strategy as a method to record cell-cell interactions between neurons in the brain. We propose to optimize and validate this design towards identifying wiring diagrams of neuronal circuits in transgenic animals, both in mice and drosophila.

Public Health Relevance

It is thought that many neurological and psychiatric diseases, including schizophrenia and autism, may be due to incorrect wiring of neurons during brain development. The goal of this application is to generate a new method that will allow investigators to investigate the brain's wiring diagram.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01MH109147-02S1
Application #
9258919
Study Section
Special Emphasis Panel (ZMH1)
Program Officer
Freund, Michelle
Project Start
2015-09-23
Project End
2017-06-30
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
California Institute of Technology
Department
Type
Schools of Arts and Sciences
DUNS #
009584210
City
Pasadena
State
CA
Country
United States
Zip Code
91125
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Zinn, Kai; Özkan, Engin (2017) Neural immunoglobulin superfamily interaction networks. Curr Opin Neurobiol 45:99-105
Huang, Ting-Hao; Niesman, Peter; Arasu, Deepshika et al. (2017) Tracing neuronal circuits in transgenic animals by transneuronal control of transcription (TRACT). Elife 6:
Lee, Donghyung; Huang, Ting-Hao; De La Cruz, Aubrie et al. (2017) Methods to investigate the structure and connectivity of the nervous system. Fly (Austin) 11:224-238
Huang, Ting-Hao; Velho, Tarciso; Lois, Carlos (2016) Monitoring cell-cell contacts in vivo in transgenic animals. Development 143:4073-4084