Systems immune profiling of variant-specific vaccination against SARS-CoV-2

This article has been Reviewed by the following groups

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Abstract

Lipid-nanoparticle(LNP)-mRNA vaccines offer protection against COVID-19. However, multiple variant lineages caused widespread breakthrough infections. There is no report on variant-specific vaccines to date. Here, we generated LNP-mRNAs specifically encoding wildtype, B.1.351 and B.1.617 SARS-CoV-2 spikes, and systematically studied their immune responses in animal models. All three LNP-mRNAs induced potent antibody responses in mice. However, WT-LNP-mRNA vaccination showed reduced neutralization against B.1.351 and B.1.617; and B.1.617-specific vaccination showed differential neutralization. All three vaccine candidates elicited antigen-specific CD8 and CD4 T cell responses. Single cell transcriptomics of B.1.351-LNP-mRNA and B.1.617-LNP-mRNA vaccinated animals revealed a systematic landscape of immune cell populations and global gene expression. Variant-specific vaccination induced a systemic increase in reactive CD8 T cell population, with a strong signature of transcriptional and translational machineries in lymphocytes. BCR-seq and TCR-seq unveiled repertoire diversity and clonal expansions in vaccinated animals. These data provide direct systems immune profiling of variant-specific LNP-mRNA vaccination in vivo .

Article activity feed

  1. SciScore for 10.1101/2021.12.02.471028: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsField Sample Permit: Single cell profiling: Splenocytes were collected from mRNA-LNP vaccinated and control mice were collected as described above for mouse immunization and sample collection, and normalized to 1000 cells/μL.
    Sex as a biological variableAnimals: M. musculus (mice), 6-8 weeks old females of C57BL/6Ncr, were purchased from Charles River and used for immunogenicity study.
    RandomizationAll experiments utilize randomized littermate controls.
    BlindingReplication, randomization, blinding and reagent validations: Replicate experiments have been performed for all key data shown in this study.
    Power Analysisnot detected.
    Cell Line AuthenticationContamination: All cell lines tested negative for mycoplasma.

    Table 2: Resources

    Antibodies
    SentencesResources
    Thereafter, cells were washed twice in MACS buffer and incubated with PE–anti-human FC antibody (Biolegend, M1310G05) in MACS buffer for 30 min on ice.
    PE–anti-human FC
    suggested: None
    anti-mouse CD28 antibody (Biolegend, Clone 37.51) and seed into 96-well plate for overnight.
    anti-mouse CD28
    suggested: None
    Anti-mouse secondary antibody was diluted to 1:2500 in blocking buffer and incubated at room temperature for one hour.
    Anti-mouse
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    In vitro mRNA expression: HEK293T cells were electroporated with mRNA encoding B.1351 variant (6P) or B.1.617 variant (6P) proteins using Neon™ Transfection System 10 µL Kit following the standard protocol provided by manufacturer.
    HEK293T
    suggested: None
    Briefly, 293T cells were seeded in 150 mm plates, and transfected with 21 µg pHIVNLGagPol, 21 µg pCCNanoLuc2AEGFP, and 7.5 µg of a SARS-CoV-2 SΔ19 or B.1.351 variant-Δ19 or SARS-CoV-2 SA SΔ19 plasmid, utilizing 198 µl PEI.
    293T
    suggested: None
    Plates were incubated at 37°C supplied with 5% CO2. 48 hr later, 293T-hACE2 cells were collected and the GFP+ cells were analyzed with Attune NxT Acoustic Focusing Cytometer (Thermo Fisher).
    293T-hACE2
    suggested: None
    Experimental Models: Organisms/Strains
    SentencesResources
    Animals: M. musculus (mice), 6-8 weeks old females of C57BL/6Ncr, were purchased from Charles River and used for immunogenicity study.
    C57BL/6Ncr
    suggested: RRID:MGI:2160593)
    Recombinant DNA
    SentencesResources
    Plasmid construction: The DNA sequences of B.1.351 and B.1.617 SARS-CoV-2 spikes for the mRNA transcription and pseudovirus assay were synthesized as gBlocks (IDT) and cloned by Gibson Assembly (NEB) into pcDNA3.1 plasmids.
    pcDNA3.1
    suggested: RRID:Addgene_79663)
    Plasmid expressing a C-terminally truncated SARS-CoV-2 S protein (pSARS-CoV-2Δ19) was from Dr Bieniasz’ lab
    pSARS-CoV-2Δ19
    suggested: None
    Briefly, 293T cells were seeded in 150 mm plates, and transfected with 21 µg pHIVNLGagPol, 21 µg pCCNanoLuc2AEGFP, and 7.5 µg of a SARS-CoV-2 SΔ19 or B.1.351 variant-Δ19 or SARS-CoV-2 SA SΔ19 plasmid, utilizing 198 µl PEI.
    pCCNanoLuc2AEGFP
    suggested: None
    Software and Algorithms
    SentencesResources
    , CD4 FITC (Biolegend, Clone GK1.5,1:200) in MACS buffer (D-PBS with 2 mM EDTA and 0.5% BSA) on ice for 20 min, cells were washed with MACS buffer then fixed and permeabilized using the BD Cytofix/Cytoperm fixation/permeabilization solution kit according to the manufacturer’s instructions.
    BD Cytofix/Cytoperm
    suggested: None
    Analysis was performed using FlowJo software according to the gating strategy outlined in a Supplemental Figure.
    FlowJo
    suggested: (FlowJo, RRID:SCR_008520)
    The 50% inhibitory concentration (IC50) was calculated with a four-parameter logistic regression using GraphPad Prism (GraphPad Software Inc.)
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    The pooled library was sequenced using MiSeq (Illumina) with 2*300 read length.
    MiSeq
    suggested: (A5-miseq, RRID:SCR_012148)
    Bulk VDJ sequencing data analysis: Raw fastq files from bulk BCR and TCR sequencing were processed by MiXCR v2.1.5 to clonotypes.
    MiXCR
    suggested: (MiXCR, RRID:SCR_018725)
    For T-cell specific analyses, cells associated with the following terms were taken as a subset and used for standard Seurat pipeline analyses as described above: “CD4 T cell”, “CD8 T / NKT cell”, “CD8 T cell”, “T cell-like.
    Seurat
    suggested: (SEURAT, RRID:SCR_007322)
    ” For B-cell specific analyses, cells associated with the following terms were taken as a subset: “B cell”, “B cell-like”, “Progenitor B cell”, “Plasma cell.” For functional annotation, differentially upregulated and downregulated genes with cutoff of adjusted p-value 0.05 were used for DAVID analysis.
    DAVID
    suggested: (DAVID, RRID:SCR_001881)
    The statistical significance was labeled as follows: n.s., not significant; * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001. Prism (GraphPad Software) and RStudio were used for these analyses.
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)

    Results from OddPub: Thank you for sharing your code.


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on pages 32 and 37. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • No funding statement was detected.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.


    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.