Computationally Driven Design of De Novo Genetically Encoded Voltage Indicators
Computationally Driven Design of De Novo Genetically Encoded Voltage Indicators
批准号:
10556358
负责人:
Ivan Kuznetsov
金额:
$1.59万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-01-01 至 2023-05-15
关键词:
Action PotentialsAddressAdoptionAffectAffinityBehaviorBiliverdineBindingBinding ProteinsBiochemistryBrain DiseasesCalibrationCellsCognitionComplexDirected Molecular EvolutionElectric CapacitanceElectrophysiology (science)EngineeringEscherichia coliExhibitsFilmFluorescenceFluorescence-Activated Cell SortingFrequenciesHippocampusImageIn VitroKineticsLigandsLipid BilayersLyaseMammalian CellMeasuresMembraneMembrane PotentialsMembrane Protein TrafficMental disordersMethodsModelingMonitorNeuronsOpticsPhenotypePhysiologyPositioning AttributePropertyProtein EngineeringProteinsProtocols documentationReporterReportingResistanceSamplingSideSignal TransductionSpectrum AnalysisStudy modelsThinnessTissue imagingTissuesTransfectionVariantViralWorkYeastscell typechromophoredesigndichroismdipole momentelectric fieldfluorescence imagingimprovedin vivoinsightnervous system disorderneuroimagingnovelpatch clampphycobilinreconstructionresponsesuccesstemporal measurementtraffickingvoltage
中文摘要
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英文摘要
PROJECT SUMMARY:
Simultaneous optical monitoring of the electrical activity of hundreds of neurons with single-cell fidelity
comparable to whole-cell patch clamp electrophysiology would enable recording of the circuit-level activity that
gives rise to affect, behavior, and cognition and would drive novel insights into the network dysregulation
underlying psychiatric and neurological disorders. Therefore, enormous effort has been expended on designing
genetically encoded voltage indicators (GEVIs), cell-type specific protein reporters that transduce changes in
membrane potential as a fluorescent signal. Large-scale adoption of GEVIs is dependent on them possessing
the brightness, voltage-sensitivity, and temporal resolution to allow for the in vivo recording of high frequency
bursts, the monitoring of sub-threshold voltage dynamics, and the accurate reconstruction of action potential
waveforms. Current GEVIs, such as those constructed from archaerhodopsin, do not possess all these desired
properties and are intrinsically limited in their temporal resolution due to their reliance on structural
rearrangements for signal transduction. We propose the construction of high temporal resolution GEVIs by
leveraging validated methods in computational de novo protein design to produce transmembrane helical
bundle proteins that bind a near-infrared fluorescent, mammalian-endogenous biliverdin chromophore. Proper
positioning of biliverdin within the protein will allow for optical
voltage-reporting by the Stark effect, an
intrinsically voltage-sensitive phenomenon wherein an electric field acting upon a chromophore causes sub-
picosecond changes in fluorescence by altering absorbance. This work will produce near-infrared fluorescent,
high temporal resolution voltage probes permitting new insights into the circuit-level physiology underlying the
complex phenotypes seen in the normal and diseased brain.
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DOI:
10.1016/j.mbs.2021.108754
发表时间:
2022-03
期刊:
Mathematical biosciences
影响因子:
4.3
作者:
[Kuznetsov IA, Kuznetsov AV]
通讯作者:
Kuznetsov AV
DOI:
10.1016/j.mbs.2020.108468
发表时间:
2020-11
期刊:
Mathematical biosciences
影响因子:
4.3
作者:
[Kuznetsov IA, Kuznetsov AV]
通讯作者:
Kuznetsov AV
DOI:
10.1093/imammb/dqac006
发表时间:
2022
期刊:
Mathematical medicine and biology : a journal of the IMA
影响因子:
--
作者:
[Kuznetsov,IvanA, Kuznetsov,AndreyV]
通讯作者:
Kuznetsov,AndreyV
DOI:
10.1002/cnm.3648
发表时间:
2022-11
期刊:
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
影响因子:
2.1
作者:
[Kuznetsov, Ivan A., Kuznetsov, Andrey, V]
通讯作者:
Kuznetsov, Andrey, V
Bidirectional, unlike unidirectional transport, allows transporting axonal cargos against their concentration gradient.
与单向运输不同,双向运输允许逆着浓度梯度运输轴突货物。
DOI:
10.1016/j.jtbi.2022.111161
发表时间:
2022
期刊:
Journal of theoretical biology
影响因子:
2
作者:
[Kuznetsov,IvanA, Kuznetsov,AndreyV]
通讯作者:
Kuznetsov,AndreyV
Computationally Driven Design of De Novo Genetically Encoded Voltage Indicators
-
批准号:10326360
-
项目类别:
-
资助金额:$3.42万
-
财政年份:2020
-
负责人:Ivan Kuznetsov
-
依托单位:
Computationally Driven Design of De Novo Genetically Encoded Voltage Indicators
-
批准号:9907495
-
项目类别:
-
资助金额:$5.0万
-
财政年份:2020
-
负责人:Ivan Kuznetsov
-
依托单位:
海外基金