Sugar Probed SRS Volumetric imaging of Metabolic Activities
Sugar Probed SRS Volumetric imaging of Metabolic Activities
批准号:
10639208
负责人:
Lingyan Shi
金额:
$39.41万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-21 至 2028-08-31
关键词:
3-DimensionalAdipose tissueAgingAlgorithm DesignAlgorithmic AnalysisAlgorithmsAnimal ModelAnimalsBiological ProcessBiomassBrainCarbohydratesCarbonCellsChemicalsComputational algorithmComputing MethodologiesCustomDNADataData AnalysesData SetDeuteriumDevelopmentFingerprintGenerationsGeneticGlucoseGlycogenGoalsHeterogeneityHomeostasisHumanImageImaging TechniquesIn SituLabelLifeLipidsLiverMeasuresMetabolicMetabolic PathwayMetabolismMethodsMicroscopyMolecularMusNutrientOpticsOrganPancreasPathway interactionsPatternPenetrationPlayPrintingProteinsProtocols documentationPublishingRNARadiationRecipeRegression AnalysisReportingResolutionResourcesRoleSignal TransductionSourceSpatial DistributionStimulusTechniquesTechnologyThree-Dimensional ImagingTimeTissuesUreaVisualizationalgorithmic methodologieschemical bondcomputing resourcesdesignglucose metabolismimaging platformimaging probein vivoinnovationmacromoleculemetabolic abnormality assessmentmetabolic imagingmultiplexed imagingresponsesugarthree-dimensional visualizationtool
中文摘要
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英文摘要
Project Summary
Visualizing metabolic activities in situ is critical to understanding many biological processes. It
is the metabolism which carries out the genetic blue print and maintain life. Sugar such as
glucose is an essential nutrient for human being and animals, not only provides energy, but
also is building blocks for synthesizing new biomass such as protein, lipid, RNA/DNA, and
glycogen. Our proposed study is to develop and optimize a new generation of deuterated
glucose ([D]-glucose) probed 3D volumetric multiplex stimulated Raman scattering (SRS)
imaging platform. In aim I, various types of [D]-glucose including [D1], [D2], [D5], [D7], and [D12]-
glucose will be studied and optimized for visualizing metabolic dynamics and heterogeneity in
animals. The carbon-deuterium (C-D) chemical bond in the newly synthesized molecules such
as C-D labeled proteins, lipids, DNA/RNA, carbohydrates will be imaged in the “cell silent
region” of Raman spectra. In addition, based on diverse spectral patterns of metabolites
derived from different isotopologues, metabolite synthesis in multiple time points will be
visualized in a single image. In Aim II, a new generation of enhanced tissue clearing recipe
will be screened and designed for large scale 3D volumetric imaging (20x deeper penetration)
of [D]-glucose probed metabolic activities and heterogeneity in animal models. In Aim III,
custom designed spectral unmixing algorithm and protocol will be established to maximize the
potential of detecting more than 20 newly synthesized C-D labeled molecules and minimize
the background signal. Our computational resources and algorithms will optimize numerous
variables in complicated hyperspectral imaging datasets for studying organ specific metabolic
dynamics and heterogeneity. Using the resources and algorithms, we will optimize a platform
to unmix multiple old and newly synthesized molecules and quantitatively dissect the in situ
detritions. Completion of the proposed study will potentially reveal mechanistic fundamentals
of multiple molecular pathways related to glucose metabolism in different organs.
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会议论文
Novel Optical Imaging Approach to Study Neurovascular Coupling System
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批准号:10528336
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项目类别:
-
资助金额:$43.45万
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财政年份:2022
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负责人:Lingyan Shi
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依托单位:
海外基金