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Real-world immune trajectories

Longitudinal single-cell and multiomic data from healthy adults and people with autoimmune disease, grounded in clinical context. Access existing datasets or assemble a custom cohort focused on the biology you want to understand.

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High resolution, multidimensional, clinically meaningful

Precision medicine depends on understanding how biology changes in real people—not just what it looks like at a single moment. Onyx follows people through infection, inflammation, and treatment, capturing their molecular responses with single-cell and multiomic assays. The result is richer context and higher-resolution data for patient stratification, biomarker discovery, treatment-response prediction, and models reflecting real-world human biology.

Clinical context

We provide data from patient-derived samples, not just cell lines growing in an academic lab.

Targeted cohort assembly

We quickly assemble cohorts that satisfy granular critical criteria necessary for clinical development.

Longitudinal sampling

Our studies collect data over time and around key clinical events, such as changes in treatment, vaccination, or infection.

Use cases

  • Causal biology

    Moving beyond correlation with longitudinal data that enables causal analysis of the biology underlying immune system health and disease.

  • Endotyping

    Mechanistically understand disease subtypes and predict differential response to medicines.

  • Precision immunology

    Validate targets and match immune-targeting therapies to the right patients based on their specific molecular and immune profile.

  • Biomarker discovery

    Identifying the molecular signatures that predict disease onset, progression, and treatment response.

  • Patient stratification

    Group patients by shared biological signatures to predict who will respond to a treatment and who won’t.

assays

Data analytics capabilities

We generate rich multiomic datasets at single cell resolution, coupled with clinical and live cell phenotyping to provide a holistic picture of immune function

Proteomics & Metabolomics

Proximity extension assays quantify roughly 1,000 plasma proteins at scale, while ultra-sensitive immunoassays capture low-abundance immune signaling molecules (IL-5, IL-6, IL-33 and others) central to autoimmune inflammation. Targeted mass spectrometry adds quantitative metabolite coverage.

Clinical Data

Longitudinal clinical records, linked to every sample at the participant level. Disease activity, medications, and outcomes are tracked across timepoints, so molecular signals can be tied to what is happening in the patient.

Single Cell Transcriptomics

Single-cell RNA sequencing resolves immune cell states that bulk assays average away. Each cell's gene expression is linked to its T or B cell receptor identity for clonal tracking, and to its chromatin accessibility, showing which regulatory programs are active.

Genomics

Genetic variation and regulatory architecture, mapped to the cell types where they act. Connects risk loci to the immune pathways and cell states measured in the same patients.

We partner with leading research labs, AI model developers, and biopharma companies to turn real-world patient data into next-generation drug discovery and development programs.

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