grant

Structural interrogation of vaccine- and infection-induced B cell responses

Organization ICAHN SCHOOL OF MEDICINE AT MOUNT SINAILocation NEW YORK, UNITED STATESPosted 22 Feb 2022Deadline 31 Jan 2027
NIHUS FederalResearch GrantFY20252019 novel corona virus2019 novel coronavirus2019-nCoV2019-nCoV S protein2019-nCoV spike glycoprotein2019-nCoV spike protein2019-nCoV vaccine2019-nCoV variant2019-nCoV variant forms2019-nCoV variant strainsAb-mediated immunityAb-mediated protectionAffectAnimal ModelAnimal Models and Related StudiesAnti-viral ResponseAntibodiesAntibody AffinityAntibody RepertoireAntibody ResponseAntibody SpecificityAntibody immunityAntibody protectionAntibody-mediated protectionAntigen VariationAntigenic DeterminantsAntigenic VariabilityAntigenic VariationAntigensAssayB blood cellsB cellB cell repertoireB cellsB-CellsB-LymphocytesB-cellBindingBinding DeterminantsBioassayBiochemicalBiological AssayBlood CellsBody TissuesCOVID-19 S proteinCOVID-19 spikeCOVID-19 spike glycoproteinCOVID-19 spike proteinCOVID-19 vaccinationCOVID-19 vaccineCOVID-19 variantCOVID-19 variant formsCOVID-19 variant strainsCOVID-19 virusCOVID19 virusCell BodyCell CompartmentationCell CompartmentationsCell Surface GlycoproteinsCellsCellular biologyClinical Treatment MoabCoV-2CoV2ComplexContainmentCoronaviridaeCoronavirusCryo-electron MicroscopyCryoelectron MicroscopyDNA mutationDataDimensionsElectron CryomicroscopyEpitopesEvolutionExposure toFrequenciesGenesGeneticGenetic ChangeGenetic defectGenetic mutationGerminal CenterGoalsGrippeHealthHumanIg Somatic HypermutationImmuneImmune EvasionImmune memoryImmune responseImmune systemImmunesImmunityImmunizationImmunodominant Antigenic DeterminantsImmunodominant DeterminantsImmunodominant DomainsImmunodominant EpitopesImmunodominant RegionsImmunodominant SitesImmunoglobulin Somatic HypermutationImmunologic MemoryImmunological MemoryImmunologyIndividualInfectionInfluenzaInfluenza VirusMapsMembrane GlycoproteinsMemory B CellMemory B-LymphocyteModelingModern ManMolecularMolecular InteractionMonoclonal AntibodiesMutateMutationN-terminalNH2-terminalOrthocoronavirinaePeripheral Blood CellPlasmablastPopulationPost-vaccination 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Full Description

Immunodominance, the observation that epitopes on an antigen are not “born equal”, poses a major challenge
for next-generation vaccines against rapidly evolving pathogens. An underlying premise of this proposal is that

in order to engage in rational immunogen design for next-generation vaccines, we first need to answer a

fundamental question in immunology -- namely how to define immunodominance in biochemical and structural

terms. Rather than relying on animal models that could complicate the direct translation to human health, we will

directly sample both the circulating (plasmablasts and memory B cells) and tissue-resident (germinal center) B

cells in humans. First, we will use structural biology approaches – primarily cryo-EM – to ask what an

immunodominance map of an initial immunization looks like on a protein structure level (Aim 1). Specifically, we

will establish epitopic heatmaps of antigen-specific B cells after vaccination in humans, using SARS-CoV-2 spike

glycoprotein as a model antigen. Studies with other viruses like influenza have shown that pre-existing immunity

generated upon primary infection biases all subsequent immune responses (to infection and to vaccination). In

influenza, the issue is the immunodominance of epitopes that readily mutate (antigenic drift) and make the

seasonal reformulation of the vaccine required. In our recent study of vaccination against SARS-CoV-2, we noted

an original antigenic sin-like backboost to the spikes of two seasonal human coronaviruses OC43 and HKU1.

Antibodies derived from the cross-reactive B cells had higher levels of mutation than did the strain-specific ones.

We therefore wish to know how pre-existing immunity, generated by preceding infection, affects immunological

memory and de novo responses to subsequent vaccination (Aim 2). We will follow the maturation of immune

responses longitudinally. We will a) determine the somatic genetic relationships among responding B cells during

primary and recall responses b) examine the resulting antibody (Ab) specificity and affinity maturation and c)

follow the evolution of immunodominance heatmaps over time across B cell compartments. Recent emergence

of SARS-CoV-2 variants of concern (VOCs) has made it clear that the virus mutates to avoid immune responses

on a population level. However, how much antigenic variation is allowed so that there is still vaccine protection

against different variants is unknown. We will concurrently follow the B responses “breakthrough infections” and

sequence the infecting strain to understand the epitopic distance that permits reinfection (Aim 3). The

overarching goal of this proposal is to understand the structural features of immune imprinting and, ultimately,

the structural correlates of Ab protection against evolving viruses. Insights gained will not only shed light on the

basic B cell biology but will also inform better vaccines. We will use SARS-CoV-2 as a model but we will extend

to other coronaviruses as probes of the immune system's ability to mount an appropriate antiviral response. A

particular strength of this proposal is the use of structural biology to gain atomic level, mechanistic understanding

of the evolution of the Ab response with direct, single-cell interrogation of B cell responses in humans.

Grant Number: 5R01AI168178-04
NIH Institute/Center: NIH

Principal Investigator: Goran Bajic

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