Lighting up the brain: Optogenetic tools to record, trace, and manipulate brain circuits at cellular resolution

Information

  • Research Project
  • 10244755
  • ApplicationId
    10244755
  • Core Project Number
    DP2MH129956
  • Full Project Number
    1DP2MH129956-01
  • Serial Number
    129956
  • FOA Number
    RFA-RM-20-012
  • Sub Project Id
  • Project Start Date
    9/16/2021 - 2 years ago
  • Project End Date
    8/31/2024 - 2 months from now
  • Program Officer Name
    ALVAREZ, RUBEN P
  • Budget Start Date
    9/16/2021 - 2 years ago
  • Budget End Date
    8/31/2024 - 2 months from now
  • Fiscal Year
    2021
  • Support Year
    01
  • Suffix
  • Award Notice Date
    9/16/2021 - 2 years ago
Organizations

Lighting up the brain: Optogenetic tools to record, trace, and manipulate brain circuits at cellular resolution

PROJECT SUMMARY Brain circuits are dynamic networks of neurons that process information in the form of electrical and chemical signals to form memories and shape behaviors. To investigate how brain circuits instantiate fundamental computations underlying behaviors, we need to map their wiring diagrams coupled with functional analysis at cellular resolution. However, the electrical (voltage) and chemical (e.g. neuropeptides) signals are not directly visible, and current circuit tracing tools are insufficient for meaningful functional analysis. Using protein engineering this proposal aims to develop a toolbox of genetically-encoded fluorescent reporters and tracers specifically tailored to study neural circuits. At the electrical level, voltage sensors can image the precise timing of action potentials and subthreshold voltage not detectable by other means. However, even the latest voltage sensors do not perform well with high-resolution microscopes that use 2-photon illumination for imaging deep in the brain. To overcome these limitations, we are taking a two-pronged approach by evolving amino acids at the mechanistic heart of voltage sensor proteins and by using spectroscopy to aid our protein engineering efforts. We believe directed evolution will improve voltage sensitivity and 2-photon functionality >10 fold, enabling us to image currently invisible signals, like synaptic potentials, deep inside the brain. At the chemical level, neuropeptides are highly expressed in almost all cortical neurons, but their role and impact in animals can only be inferred because current detection methods, like microdialysis, are invasive and lack spatiotemporal resolution. We are using phage display to evolve nanobodies capable of recognizing neuropeptides and coupling their conformational changes to fluorescence changes from reporter molecules. These sensors will provide visualization of neuropeptide release at cellular resolution throughout an animal?s brain during behavior paradigms that mimic human health and disease states. At the cellular connectivity level, current tools for circuit- mapping, like rabies virus, exhibit substantial neurotoxicity, prohibiting meaningful functional analyses. We are engineering proteins with a natural propensity to assemble into structures capable of delivering a genetic payload to specific cells to produce more effective and less toxic tools to map and manipulate brain circuits. Effective and robust tools to map the brain will bridge functional and structural analysis and finally allow long- term studies of neural networks based on their connectivity. Overall, the optogenetic tools developed in this proposal will translate the chemical and electrical signals between neural circuits into fluorescence that can be easily measured. Consequently, they can be used to unravel the functional basis and causes of neuronal disorders at a level of detail that has not been accessible to date and empower us to develop novel treatments.

IC Name
NATIONAL INSTITUTE OF MENTAL HEALTH
  • Activity
    DP2
  • Administering IC
    MH
  • Application Type
    1
  • Direct Cost Amount
    900000
  • Indirect Cost Amount
    528342
  • Total Cost
    1428342
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    310
  • Ed Inst. Type
    UNIVERSITY-WIDE
  • Funding ICs
    NIMH:1428342\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    BROWN UNIVERSITY
  • Organization Department
    NONE
  • Organization DUNS
    001785542
  • Organization City
    PROVIDENCE
  • Organization State
    RI
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    029129002
  • Organization District
    UNITED STATES