Optopatch: high-throughput all-optical electrophysiology
Optopatch: high-throughput all-optical electrophysiology
批准号:
9341395
负责人:
Christopher Werley
金额:
$31.8万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-04-01 至 2018-08-31
关键词:
Action PotentialsAffectAfferent NeuronsAnticonvulsantsAutomationAwardBehaviorBiological AssayBiological ModelsBiological SciencesCell LineCellsClinicClinicalCloud ComputingComplexComputer softwareCustomDataData AnalysesData Storage and RetrievalDatabasesDevelopmentDiseaseDisease modelDrug usageElectrophysiology (science)EngineeringEpilepsyFire - disastersFundingGeneticHippocampus (Brain)HourHumanIn VitroIncubatorsIndividualLibrariesLightLiquid substanceManualsMeasurementMeasuresMicroscopeModelingMotionMotor NeuronsMusNeurologicNeuronsNoiseOpticsOutputPatientsPatternPerformancePharmaceutical PreparationsPharmacologic SubstancePharmacologyPhasePhenotypePhototoxicityPhysiologyPositioning AttributePotassium ChannelPreclinical Drug EvaluationPrevalenceProductionPropertyProtein EngineeringRattusRecording of previous eventsReporterReproducibilityResolutionRobotSamplingSecureSeveritiesShapesSignal TransductionSpinal GangliaStem cellsStimulusSynapsesSynaptic TransmissionSynaptic plasticitySyndromeSystemTechnologyTestingTherapeuticTranscendVariantbasecell behaviorcell typecloud basedcostdisease phenotypegenetic manipulationinduced pluripotent stem cellinstrumentmillisecondmultidisciplinarynervous system disordernovelnovel drug classoptogeneticsphase 1 studyresponsestem cell biologytemporal measurementterabytetoolvoltage
中文摘要
项目总结
英文摘要
Project Summary
In spite of the prevalence and severity of many neurological disorders, the development of new
classes of drugs has been sluggish for 50 years. This is due largely to the lack of good model
systems and tools to rapidly study relevant electrical and synaptic phenotypes. We aim to
overcome these challenges. Recent advances in induced pluripotent stem cell (iPSC)
technology reveal the first prospects for studying human neurons paired with clinical histories
using fast in vitro technologies. The complex electrophysiological behavior of these cell can be
recorded with the Optopatch platform and microscope systems recently developed at Q-State.
With these tools, it is possible to simultaneously stimulate (blue light) and record (red light)
electrical activity from around a hundred neurons with one millisecond temporal resolution,
single cell spatial resolution, and high signal to noise. This system can be used to measure
single cell excitability and firing patters or to probe synaptic transmission by stimulating a subset
of neurons with spatially patterned blue light. Moving forward, we propose to increase
microscope throughput without sacrificing capabilities and rigorously test the platform’s
performance. First, the microscope will be upgraded with advanced environmental controls, 96-
well plate compatibility, and a fluid-handling robot for compound addition. Next, data storage
and analysis will be securely moved to the cloud to handle 2.5 Terabyte/day data rates. Once
the microscope is fully functional, sensitivity and reproducibility (well to well, plate to plate, and
batch to batch) will be tested using a library of control compounds. Finally, as a first application,
we will search for a robust, screenable phenotype for Dravet syndrome. Neurons will be
prepared from ten healthy and ten Dravet patients to look for differences in firing that transcend
variation in the genetic background. A drug that ameliorates the disease phenotype in the
majority of cell lines is a promising candidate to be broadly effective in the clinic. A well
validated, high-throughput electrophysiology platform with confirmed phenotypic readouts in
human iPSC disease neurons has the potential to change the drug screening landscape for
neurological disorders. We hope to open a new path to finding treatments for these horrible
diseases.
期刊论文(0)
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会议论文
Rapid, in vitro phenotyping of monogenic neurological disorders using CRISPRi and high-throughput all-optical electrophysiology.
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批准号:9464596
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项目类别:
-
资助金额:$34.55万
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财政年份:2017
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负责人:Christopher Werley
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依托单位:
海外基金