Customized for Vaccine Development

Customized for Vaccine Development

Lab scientists in white coats working in a modern, well-lit laboratory setting.

Comprehensive Support Across All Stages of Development

Comprehensive Support Across All

Stages of Development

From early discovery through clinical development and post-licensure, SeromYx’s Systems Serology platform helps vaccine developers understand the functional immune mechanisms that drive protection.

We support natural infection studies, controlled human infection models, field efficacy trials, and post-licensure analyses by identifying functional correlates of protection and immune signatures linked to efficacy. Our data informs critical decisions around antigen and adjuvant selection, dose optimization, manufacturing process changes, and comparison of vaccine candidates against licensed products.

Pathogens Studied Using Systems Serology

Our Systems Serology platform has been applied across a wide range of infectious diseases to support vaccine development, immunogenicity assessment, and immune correlate discovery. The pathogens below represent viruses, bacteria, parasites, and fungi that have been studied using SeromYx’s comprehensive Fc-mediated antibody profiling and functional immune analysis.

  • Viruses (26)

    Coronaviruses

    SARS-CoV-1, SARS-CoV-2, MERS, Common cold coronaviruses (NL63, OC43)

    Flaviviruses & Others

    Dengue, Zika, Yellow fever

    Retroviruses

    HIV, SHIV, SIV, Endogenous retroviruses

    Herpesviruses

    HSV-1, HSV-2, Epstein-Barr virus, Varicella zoster

    Other Viruses

    Influenza, Measles, Mumps, RSV, Hep B, Hep C, HPV, Merkel Cell Polyomavirus, Crimean-Congo Hemorrhagic Fever, Rift Valley Fever

  • Fungus

    Aspergillus spp.

  • Parasite

    Plasmodium falciparum

  • Bacteria (14)

    • Bordetella pertussis
    • Clostridium botulinum
    • Clostridium tetani
    • Corynebacterium diphtheriae
    • Klebsiella pneumoniae
    • Mycobacterium tuberculosis
    • Neisseria meningitidis
    • Pseudomonas aeruginosa
    • Salmonella typhi
    • Shigella spp.
    • Staphylococcus aureus
    • Streptococcus agalactiae
    • Streptococcus pneumoniae
    • Vibrio cholerae

Viruses (26)

Fungi

Parasite

Bacteria (14)

Coronaviruses
SARS-CoV-1, SARS-CoV-2, MERS, Common cold coronaviruses (NL63, OC43)


Flaviviruses & Others
Dengue, Zika, Yellow fever


Retroviruses
HIV, SHIV, SIV, Endogenous retroviruses


Herpesviruses
HSV-1, HSV-2, Epstein-Barr virus, Varicella zoster


Other Viruses
Influenza, Measles, Mumps, RSV, Hep B, Hep C, HPV, Merkel Cell Polyomavirus, Crimean-Congo Hemorrhagic Fever, Rift Valley Fever

Aspergillus spp.

Plasmodium falcioarum

Bordetella pertussis

Clostridium botulinum

Clostridium tetani

Corynebacterium diphtheriae

Klebsiella pneumoniae

Mycobacterium tuberculosis

Neisseria meningitidis

Pseudomonas aeruginosa

Salmonella typhi

Shigella spp.

Staphylococcus aureus

Streptococcus agalactiae

Streptococcus pneumoniae

Vibrio cholerae

DISCOVERY

Systems Serology identifies antibody features linked to disease outcomes.


Profiling hospitalized COVID-19 patients revealed distinct antibody responses: survivors showed a spike (S)-focused, functional profile, while non-survivors had nucleocapsid (N)-biased, less effective antibodies. Just five key antibody features predicted clinical trajectory, supporting early risk stratification and biomarker development. These findings highlight the importance of spike-specific functional antibodies for vaccine targeting.


  • Differentiates survivors and non-survivors using key antibody signatures
  • Links enhanced S-specific phagocytosis and complement activity to protection
  • Informs vaccine antigen selection and immune monitoring strategies
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LEAD SELECTION

Prioritize candidates by protective antibody functions, not just quantity.


Systems Serology enables comparison of vaccine regimens based on their ability to elicit key protective antibody functions. Screening HIV vaccine candidates revealed wide variation in ADCP levels despite similar antibody titers. Changes in adjuvants and dosing shifted functional profiles, helping developers select candidates that induce higher-quality immune responses. This accelerates confident, data-driven down-selection for clinical advancement.


  • Differentiates vaccine leads by antibody function, not just titer
  • Reveals impact of formulation and regimen on immune quality
  • Supports efficient selection of candidates with greater clinical potential
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ASSAY DEVELOPMENT, VALIDATION, QUALIFICATION

Robust immune profiling beyond neutralization for clinical trials.


SeromYx developed and qualified a Systems Serology assay under WHO and GCLP standards to measure antibody-dependent functions in SARS-CoV-2 vaccine trials. The assay delivers precise, specific, and sensitive measurement of Fc effector activities (ADCP, ADCD, ADNKA), supporting secondary endpoints in Phase 3 studies and regulatory filings. This validated platform is adaptable for diverse vaccine programs requiring advanced immune monitoring.


  • Ensures reproducible, regulatory-grade immune data across cohorts
  • Measures extra-neutralizing Fc functions linked to protection
  • Scalable qualification framework for broad vaccine applications
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CLINICAL EFFICACY TESTING

Uncovering antibody mechanisms linked to protection beyond neutralization.


A head-to-head study of mRNA-1273 and BNT162b2 vaccines showed both induced strong humoral responses, but mRNA-1273 elicited higher IgA titers, enhanced Fcγ receptor binding, and greater functional activity (ADNP, ADNKA). Systems Serology mapped distinct Fc effector functions, offering mechanistic insights into their differing real-world efficacy and supporting identification of immune correlates of protection.


  • Differentiates vaccine-induced functional antibody profiles linked to protection
  • Detects spike-specific Fc activities beyond neutralization
  • Provides mechanistic insight for clinical trial correlates and disease attenuation
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MANUFACTURING SCALE-UP

Integrating antibody avidity with Fc effector profiling to enhance vaccine assessment.


By combining Systems Serology with surface plasmon resonance (SPR)–based avidity measurements, this study uncovered distinct immune profiles differentiating two vaccine manufacturing processes. While one process drove higher effector function with lower avidity, the other generated stronger avidity with reduced effector activity. Multivariate modeling highlighted avidity, NK cell IFNγ responses, and IgG1 as key features distinguishing the processes, providing mechanistic insight into how manufacturing influences vaccine-induced immunity.


  • Links antibody avidity with functional immune readouts
  • Differentiates immune profiles across vaccine manufacturing processes
  • Provides mechanistic insight to guide vaccine design and optimization
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SCIENTIFIC RESOURCES

June 4, 2026
The Fc Review: When does antibody bivalency help, and when can it work against you? A recent mAbs study explores the impact of antibody bivalency on antigen occupancy and cell surface opsonization, revealing that the same property can be advantageous or disadvantageous depending on the intended mechanism of action (MoA). Background: Most therapeutic antibodies are bivalent, meaning they can bind two target antigens simultaneously. This avidity effect is often viewed as beneficial because it increases apparent binding strength and can improve target engagement. However, therapeutic success is not always driven by target occupancy alone. For mechanisms that rely on Fc-mediated effector function, the number of antibodies decorating the target cell surface may be just as important. The study highlights: Bivalent antibodies achieved higher antigen occupancy than comparable monovalent antibodies across a range of affinities and antigen densities. At the same time, bivalency reduced the total number of antibodies bound per cell because a single antibody could occupy two antigens simultaneously. The authors describe an "avidity barrier," where achieving equivalent levels of cell surface opsonization requires substantially higher concentrations of a bivalent antibody. The optimal balance between occupancy and opsonization depended on factors including antibody affinity, valency, and target antigen density.
May 28, 2026
Abstract: Acute SARS-CoV-2 infection triggers the de novo production of diverse, functional autoantibodies (AABs) that remain elevated in Long COVID (LC), but their pathogenic role remains unclear. Using tissue-based immunofluorescence, ELISA, human protein array, and mass spectrometry assays, we identified a broad range of AAB targets among individuals with LC. Individuals with neurocognitive symptoms showed increased AABs against central and peripheral nervous system proteins. Purified IgG reacted with human locus coeruleus, thalamus, adrenal gland, thyroid, and cross-reacted with mouse sciatic nerve and meninges. CNS-reactive AABs correlated with several neurological symptoms. MED20-targeting IgG from patients with LC showed enhanced antibody-dependent phagocytosis. Passive transfer of IgG from individuals with LC into mice induced fatigue-like behavior, loss of balance/coordination, thermal hyperalgesia, small fiber nerve damage, and increased pain-related neuronal activity, recapitulating patients’ symptoms. These findings suggest that targeting AABs might offer therapeutic benefits for this LC subgroup. 
May 18, 2026
The Fc Review: How much does Fc design influence the next generation of ADCs? A recent Cell review explores the rapid evolution of antibody-drug conjugates (ADCs), highlighting how advances in payloads, linker technologies, and antibody engineering are reshaping the field across both hematologic and solid tumors. Background: ADCs were originally developed as targeted delivery vehicles for highly potent payloads. But as the field matures, it is becoming increasingly clear that ADC activity is shaped by far more than antigen targeting alone. Factors such as linker stability, payload permeability, tumor microenvironment, bystander killing, and Fc-mediated interactions can all influence therapeutic performance. The study highlights: Fc-mediated mechanisms such as ADCC, ADCP, and complement activation can contribute to ADC activity beyond payload delivery. Some next-generation ADCs are intentionally engineered to enhance Fc effector function, while others incorporate Fc-silencing strategies to minimize off-tumor interactions. Payload selection, linker chemistry, and drug-to-antibody ratio all influence efficacy, safety, and bystander activity. Tumor antigen expression alone is often insufficient to predict ADC behavior, highlighting the importance of functional characterization and biological context.

Frequently Asked Questions (FAQ)

  • Can you analyze clinical trial samples?

    Yes. Our platform supports preclinical through clinical-stage vaccine programs, including natural infection studies, controlled human infection models, and field efficacy trials.

  • Can you identify immune signatures associated with protection?

    Yes. Using systems-level analytics, we identify multivariate immune features that associate with protection, durability, or reduced disease severity.

  • When is the best time to engage SeromYx in a program?

    We provide value across all phases, but especially during:

    • Candidate down-selection
    • Phase I/II immunogenicity studies
    • Correlate of protection investigations
  • What are the sample requirements for vaccine studies?

    Sample volume requirements vary depending on the assay panel selected. In general, we require approximately 25–150 µL per assay when performed in isolation against a single antigen.


    When multiple assays are combined within an integrated panel, overall sample requirements may decrease due to optimized assay design.


    If sample volume is limited, particularly for clinical trial cohorts, we can develop a tailored strategy to maximize data generation while conserving material. We encourage teams to contact us for a study-specific estimate as it may fall outside the range provided above.