The influence of evolutionary landscapes on protective antibody development
The influence of evolutionary landscapes on protective antibody development
批准号:
10084802
负责人:
Timothy Andrew Whitehead
金额:
$57.76万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-01-24 至 2023-12-31
关键词:
ART proteinAffinityAntibodiesAntibody AffinityAntibody ResponseAntigensBindingBiological AssayBiophysicsCommunicable DiseasesDataDengueDevelopmentDirected Molecular EvolutionEpitopesEvolutionGenerationsGenesGerm LinesGerm-Line MutationGrowthHIVHIV AntibodiesHeadHemagglutininHumanImmunoglobulin Somatic HypermutationIn VitroInfluenzaInfluenza HemagglutininLeadLibrariesLinkMapsMeasuresMethodsMissionModernizationMotivationMutagenesisMutationNational Institute of Allergy and Infectious DiseasePathway AnalysisPatientsPerformancePlayProbabilityProcessPropertyProtein EngineeringProteinsPublic HealthReactionRefractoryResearchResearch Project GrantsResearch SupportRoleScientistScreening ResultSorting - Cell MovementStructureStructure of germinal center of lymph nodeSurface Plasmon ResonanceTestingTherapeuticVaccine DesignVaccinesVariantViralVirusVirus DiseasesYeastsadaptive immunityanalysis pipelineanti-influenzaantibody librariesantigen bindingbasedeep sequencingdesignexperimental studyhuman pathogenimprovedin vivoinfluenza virus straininfluenza virus vaccineinnovationinsightinterestmembermutation screeningneutralizing antibodypandemic influenzapathogenpreventprophylacticresponsestemsuperinfectiontooluniversal influenza vaccinevaccine candidatevaccine development
中文摘要
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英文摘要
One of the most pressing issues in modern vaccine development is the poor heterosubtypic neutralizing
antibody responses elicited by highly diverse viruses that pose major threats to public health. Elicitation of
these so-called broadly neutralizing antibodies (bnAbs) – or antibodies that bind and neutralize many different
viral subtypes – are rare in human patients, which complicates vaccine development and allows for repeated
annual viral infections (e.g., Influenza and Dengue) or even superinfection (HIV) in human patients. In
particular, current vaccines elicit bnAbs at insufficient titers for long-lasting protection against all currently
circulating and pandemic Influenza strains. Therefore, it is critical to understand why some Abs are selected
over others (i.e., why they are immunodominant), an issue directly relevant to the design of effective vaccines
for many recalcitrant infectious diseases.
Our long-term objective is to map the development of antibody lineages in a way that enables the prediction of
likely responses as a tool to manipulate the process of antibody selection. Our primary objective is to test the
hypothesis that the antibody evolutionary landscape is more limited for anti-Influenza bnAbs than for subtype-
specific Abs, with this difference explaining why these bnAbs are not often selected at high levels in humans.
To test this hypothesis we will display Influenza-specific antibody libraries on yeast and use a transformative
sorting and deep sequencing pipeline to evaluate each member variant of the library for its affinity and
nonspecific binding properties. This massive functional data will then be used for a network analysis to
reconstruct plausible evolutionary trajectories for each somatic bnAb and subtype-specific head Ab. The
motivation for the proposed research is guided by the urgent need for develop methods to map and manipulate
rules of in vivo antibody affinity maturation to develop vaccines against refractory pathogens of high interest to
public health including Influenza, Dengue, and HIV.
The proposed research project will be carried out by pursuing three specific aims:
1) Determine ontogeny from germ line to mature human antibodies for two heterosubtypic HA stem binders;
2) Determine ontogeny from germ line to mature human antibodies for four heterosubtypic and subtype-
specific HA head binders;
3) Determine the number of evolutionary trajectories from a representative germline Ab.
This approach is innovative because it combines a unique hypothesis with state of the art protein
engineering tools needed to evaluate the hypothesis, and it is significant because the data generated here will
illuminate why long-lasting bnAb responses to HA immunogens are so rare. The approach raised in this
application may also expedite rational structure-based design of vaccines, prophylactics, and therapeutics
against a range of human pathogens.
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The influence of evolutionary landscapes on protective antibody development
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批准号:10310456
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项目类别:
-
资助金额:$47.05万
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财政年份:2019
-
负责人:Timothy Andrew Whitehead
-
依托单位:
The influence of evolutionary landscapes on protective antibody development
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批准号:10531875
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项目类别:
-
资助金额:$47.05万
-
财政年份:2019
-
负责人:Timothy Andrew Whitehead
-
依托单位:
海外基金