Ultrastructural analysis of melanopsin-containing retinal ganglion cells using a novel approach
Ultrastructural analysis of melanopsin-containing retinal ganglion cells using a novel approach
批准号:
9256679
负责人:
Megan Lynn Leyrer Snell
金额:
$4.4万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-03-01 至 2019-02-28
关键词:
3-DimensionalAlpha CellAnatomyArchitectureAxonBrainBrain regionCellsCircadian RhythmsCodeCommunitiesConsultationsDataData AnalysesDevelopmentDorsalElectron MicroscopyElectronsEyeFoundationsGenerationsGenetic MarkersGoalsImageInterneuronsLabelLateral Geniculate BodyLeadLearningLightMapsMentorsMethodsMicroscopicMolecular GeneticsMorphologyMydriasisNatureNeurobiologyNeuronsOutputPatternPhotosensitivityPhysiologyPositioning AttributePresynaptic TerminalsPrevalenceProductionPropertyResearchResearch PersonnelRetinaRetinalRetinal Ganglion CellsRoleScientistSensorySignal TransductionSleep Wake CycleSpecific qualifier valueStructureStructure-Activity RelationshipSynapsesTechniquesTestingThalamic structureTimeTissuesTrainingTriad Acrylic ResinUniversitiesValidationVisualVisual PathwaysVisual system structureWorkbasecell typeconnectomedata acquisitionefficacy testingexperienceganglion cellinnovationinsightlight intensitylight microscopymelanopsinmembermouse modelneural circuitnovelnovel strategiesprogramsrecombinase-mediated cassette exchangereconstructionresponseskillstool
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PROJECT SUMMARY
A connectome is a comprehensive map of the synaptic connections in a neural circuit. Connectomic analysis of
a neural circuit provides a foundation for understanding its organization and specific functions. However,
constructing a fully-mapped connectome is a difficult task. Technological advances have led to the generation
of new tools for connectomic mapping. Serial-section electron micrographs compiled into a 3-dimensional
volume produce a digitized piece of tissue full of cell-types and micro-circuits to explore. However, using this
approach to ask a targeted question remains challenging. Up to this point, a major barrier in connectomic
research was the lack of a dependable, genetic marker for electron microscopy. Finally, we have succeeded in
producing this tool. I have held a primary role in the production and validation of an innovative tool enabling
targeted connectomic analysis of genetically-specified neurons. Our tool uses cre-lox technology to label
targeted cells with robust markers visible at both the light and electron microscopic level. Fluorescent markers
revolutionized the study of neural circuits at the light level, and our novel tool brings these same advantages to
the ultrastructural level. My pilot data show expected patterns of cell-type-specific labeling at both the light and
electron microscopic level, suggesting feasibility of targeted connectomic analysis. Moving forward, my goals
are to 1) test the efficacy of this approach in mapping neural circuits and 2) exploit our tool to elucidate the
connectivity of intrinsically photosensitive ganglion cells (ipRGCs) in the retina and brain. ipRGCs are a
specialized class of retinal ganglion cells (RGCs) differing from conventional RGCs in both their response
properties and axonal terminations. While most RGCs send fast, transient signals encoding image forming
features, ipRGCs send slow, sustained signals encoding irradiance, or global light intensity. ipRGC axons
terminate in non-image forming regions of the brain where irradiance signals are used to regulate circadian
rhythms and pupil dilation. Although the general anatomy and physiology of ipRGCs is well documented, we
lack a detailed description of their connectivity. I plan to use our novel tool to conduct a connectomic analysis
of ipRGC circuitry. The use of this tool will illuminate the structural connectivity underlying irradiance coding
circuits and elucidate the function of the non-canonical ipRGC inputs to the image forming visual pathway.
Overall, this proposal will validate our tool for targeted connectomics, prior to its dispersal in the scientific
community, and provide valuable insight into the processing and modulation of sensory information through
neural circuits.
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