Cascade
Connect Cellular State to Immune Response Over Time
Cytokine and drug perturbations change cellular programs and the proteins released into the surrounding environment. These processes shape how immune responses develop within and between cells.
Yet most large-scale perturbation datasets focus on RNA at a single timepoint, leaving extracellular signaling and how it changes over time largely unmeasured.
Cascade brings these dimensions together, pairing Parse Biosciences’ single-cell transcriptomics with Nomic’s absolute quantitative secretome proteomics across donors, experimental conditions, and three timepoints.
Inside Cascade
The study was designed to provide breadth and depth across immune signaling pathways and cell types. Perturbations spanned diverse classes of immunomodulatory agents, including cytokines, chemokines, small molecules, and T cell and innate immune activators.
A Richer View of Immune Response
Perturbation Response
Cytokine and drug perturbations trigger biological responses across multiple molecular layers—from changes in cellular state to extracellular protein responses.
The Secretome
Immune cells release cytokines and other proteins into their environment that direct how they communicate, interact, and respond to intervention. Directly measuring the secretome reveals an important dimension of biology that is highly complimentary to intracellular RNA measurements.
Multimodal Discovery
Combining single-cell transcriptomics with absolute quantification of the secretome connects changes in cellular state with extracellular protein responses—providing a richer experimental foundation for understanding immune biology, drug target discovery, and predictive AI modeling.
One Dataset. Multiple Paths to Discovery.
Investigate immune biology, discover drug targets, and build predictive models with Cascade.
Cascade provides a matched view of cellular state and quantitative secretome response across donors, perturbations, and time—a unique experimental resource for exploring human immune biology.
AI Model Development
Develop and evaluate predictive models of immune response using matched transcriptomic and quantitative secretome measurements.
Target Identification
Explore immune signaling pathways and identify potential drug targets by connecting changes in cellular state with extracellular protein responses.
Drug Development
Investigate drug responses and mechanisms of action using a foundational reference of human immune biology
A Foundational Dataset to Build Upon
Cascade provides a foundational reference for human immune response. Nomic’s high-throughput, quantitative secretome proteomics can extend this measurement layer into disease-relevant samples, new perturbations, and additional experimental systems.
These studies can reveal how cytokines, drugs, and other perturbations alter extracellular signaling, identify pathways and potential targets associated with those responses, and compare response patterns across conditions at scale, bringing the biological framework established by Cascade into specific discovery programs.