Automation of the chemical synthesis of human milk oligosaccharides
Automation of the chemical synthesis of human milk oligosaccharides
批准号:
10088453
负责人:
ALEXEI V DEMCHENKO
金额:
$6.32万
依托单位:
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:
2014-08-01 至 2021-08-31
关键词:
AddressAreaAutomationBiologicalCarbohydrate ChemistryCarbohydratesChemicalsCollectionCommunitiesComplexComputer softwareDevelopmentDisciplineDiseaseEnsureEquipmentEvolutionExperimental DesignsGoalsHealthHigh Pressure Liquid ChromatographyHumanHuman MilkInfant DevelopmentInfant formulaInterventionKnowledgeLeadLengthManualsMedicalMedicineMethodsMonitorNational Institute of General Medical SciencesNatureNutrientOligonucleotidesOligosaccharidesOrganismPeptidesPlant ResinsPolymersPolysaccharidesPolystyrenesPositioning AttributePreparationProceduresProductionPropertyProtocols documentationPublic HealthReactionReaction TimeReagentReproducibilityResearchResearch PersonnelResearch Project GrantsRoleS PhaseScienceScientistSocietiesSolidSpecialistStrategic PlanningSystemTechnologyTherapeuticTimeVaccinesVisionWorkanalytical methodanalytical toolantimicrobial drugbasebiological systemschemical resourcechemical synthesiscomputer programdesigndietary supplementsexperimental studyglycosylationimprovedlaboratory equipmentnanomaterialsprebioticsprogramsrapid growthregenerativeresearch and developmentuser-friendly
中文摘要
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英文摘要
Automation of the chemical synthesis of human milk oligosaccharides
Project Summary
Carbohydrates form the basis of all living organisms and are ubiquitous both in nature and in medicine.
However, methods for the chemical or enzymatic synthesis of carbohydrates remain cumbersome. The rapid
growth of R&D in glycoscience demands the development of rapid, efficient and simple procedures for glycan
synthesis. This proposal seeks to meet this demand by focusing on the introduction of an affordable and
accessible automation platform that will enable both specialists and non-specialists to perform the synthesis of
glycans.
Current methods for the synthesis of glycans are highly sophisticated, operationally complex, and require
significant user know-how. By contrast, high performance liquid chromatography equipment-based automation
(HPLC-A) introduced by Demchenko and Stine represents a highly accessible method of synthesis because
many scientists already have operational knowledge of, and easy access to, HPLC equipment. Automated
synthesis offers not only operational simplicity by delivering all reagents using standard HPLC components, but
also convenient real-time reaction monitoring of every step. This proposal aims to improve our current HPLC-A
setup by introducing a universal platform for completely automated synthesis of glycans.
Our first two aims are dedicated to addressing key weaknesses in our previous platform, and our third aim will
apply these improvements to the synthesis of human-milk oligosaccharides (HMO). We will develop dedicated
monolithic supports with enhanced properties for solid phase synthesis of glycans (Aim A). We will also
develop a dedicated glycosylation reaction and accessorize our system with new modules that will enhance the
efficiency of recirculation, improve reproducibility of glycosylations, reduce the need for excess building block,
and lead to complete automation of all steps of the synthesis (Aim B). We will then demonstrate how well these
strategic adjustments can be applied to the completely automated, “press of a button” production of HMO,
which have crucial roles as prebiotics, antimicrobial agents, and nutrients in infant development (Aim C).
Upon completion of the proposed studies, we expect to have achieved a reliable and simple platform for
completely automated synthesis. Investigators with access to standard HPLC equipment should be able to
perform automated synthesis of glycans using our methods. Machine-assisted synthesis ensures rigorous
experimental design to obtain robust results, to eliminate variability, and to accurately reproduce experiments
multiple times by different users. Synthesis of glycans using this user-friendly, automated platform will
accelerate discovery in many scientific disciplines and can significantly impact technology, society, the
economy, and public health.
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