Design and synthesis of a next generation glycobiology toolbox for cell surface labeling
Design and synthesis of a next generation glycobiology toolbox for cell surface labeling
批准号:
10699270
负责人:
Samuel Justin Polizzi
金额:
$29.09万
依托单位:
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:
已结题
起止时间:
2023-04-01 至 2023-12-31
关键词:
AccelerationAlkynesAntibodiesBacteriaBioinformaticsBiologicalBiological AssayBiotinBiotinylationCarbohydratesCell CommunicationCell membraneCell surfaceCellsChemicalsChemistryClinicalCommunicationCustomCytidine Monophosphate N-Acetylneuraminic AcidDNA PrimersDataDevelopmentDisciplineDiseaseEngineeringEnzymesFlow CytometryFluorescent DyesFolic AcidFucosyltransferaseGeneticGlycobiologyGlycoengineeringGlycoproteinsGoalsGuanosine Diphosphate FucoseHealthImageIn SituLabelMammalian CellMass Spectrum AnalysisMediatingMedicalMembraneMetabolicMetabolismMethodsModelingModificationMorphologyMusNatureOther GeneticsPhasePhysiologyPolysaccharidesProceduresProcessProteinsProtocols documentationPublishingReagentRecombinantsReportingRhamnoseRoleRouteSamplingSelection CriteriaSialyltransferasesSignal TransductionSurfaceTechniquesTechnologyTestingTherapeuticTissuesTransferaseWorkbiochemical toolsbiomarker discoverycell typechimeric antigen receptor T cellscommercializationcrosslinkdesignfluorophoreglycosyltransferaseimmunoregulationlive cell imagingmeetingsnext generationstemsugarsugar nucleotidetargeted deliverytooltumoruser-friendly
中文摘要
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英文摘要
The cell membrane is the interface by which a cell interacts and communicates with its surroundings,
including nearby cells, proteins, and antibodies. Membranes of healthy cells are often modified in diseased states,
providing an external means to distinguish between morphologically similar cells. Often, diseased cells display
modified carbohydrates and glycans on their cell membranes. Recent developments in enzyme-mediated cell
surface engineering provide promising routes for labeling these modifications in different cell types. The approach
known as chemoenzymatic glycan labeling combines glycosyltransferases and unnatural nucleotide sugar donors
equipped with chemical tags to directly label specific surface glycans within biological samples. Recently, this
single step labelling approach has been successfully used with fucosyltransferase and GDP-fucose equipped with
biotin tags. Compared with other genetic and metabolic techniques, this method of labeling living cells is a more
direct, simpler procedure with a faster turnover cycle. It has also been shown to be generally applicable to murine
tumor models, and thus has a high potential for transfer to a clinical setting. While published reports have focused
on a low number of GDP-fucose labels, the high potential of this method is limited only by the availability of
nucleotide sugar labels paired with acceptable glycosyltransferases. In order to accelerate medical advances based
on cellular interactions, there is an urgent need to expand the availability of nucleotide sugar labels and transferases
that can be used by this method.
The goal of our Phase I project is to meet this need and provide non-expert users with a platform for
labeling glycans on the membranes of their choice cells. Meeting this goal will expand the availability of
glycoengineering reagents and methods beyond published studies. In Aim 1, we will create 12 new nucleotide sugar
derivatives with labels. Derivatives will be based on successful studies of GDP-fucose, and expanded to CMP-sialic
acid. Nucleotide sugars will be modified through click-chemistry with a fluorescent dye, biotin, or photoprobe
label. In Aim 2, we will screen and optimize glycosyltransferases capable of attaching labeled nucleotide sugars to
glycan substrates and cell surfaces. We will advance 10 kits that combine the most effective combinations of label
and transferase, along with standard operating procedures and conditions that are accessible to end users. Users
may then label membranes with fluorescent tags for cell surface imaging, biotin for cell selection, or photoprobes
for crosslinking. Data will support Phase II efforts to compare this method to existing technologies and probe
specific cell types.
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