The immune system is a network of cells in which the constitutive members interact through dense and sometimes overlapping connections. The extreme complexity of this network poses a significant challenge for monitoring pathological conditions (e.g., food allergies, autoimmunity, and other chronic inflammatory diseases) and for discovering robust signatures of immunological responses that correlate with or predict the efficacy of interventions. The diversity among immune cells found in clinical samples (variations in cellular functions, lineages, and clonotypic breadth) requires approaches for monitoring immune responses with single-cell resolution.In this chapter, we present an engineering approach for integrated single-cell analysis that uses interchangeable modular operations to provide a comprehensive characterization of the phenotypic, functional, and genetic variations for individual cells. We focus on the use of microfabricated devices to isolate and interrogate single cells, and on the analytical components that enable subsequent detection, correlation, and interpretation of multidimensional sets of data. We discuss specific challenges and opportunities in the realization of this concept, and review two examples where it has been implemented. The presented approach should provide a basis for the design and implementation of nonconventional bioanalytical processes for studying specific responses of an immune system.