Design principles for engineering therapeutic macrophages

Rutgers Biomedical And Health Sciences, Newark NJ

Investigators

Abstract

PROJECT SUMMARY Genetically engineered immune cells are an exciting and promising frontier for treating a wide range of complex diseases. However, hyperinflammatory toxicities such as cytokine release syndrome plague clinical trials, stymieing their widespread clinical adoption. Macrophages are innate immune cells that fulfill many roles in tissue repair, regeneration, and homeostasis and are important regulators of inflammation. However, they are significantly under-utilized as engineered immune cell therapies because significant knowledge gaps exist in understanding how to engineer synthetic gene circuits that work robustly in human macrophages. Tools do not yet exist for determining how macrophages should be biologically manipulated to activate desired effector functions (biological design principles). Tools also do not exist for determining what gene circuit architectures are needed to robustly induce desired gene circuit behaviors (gene circuit design principles). The overall goal for this proposal is to create a human macrophage design toolkit for engineering therapeutic macrophages. Our published and preliminary data demonstrate that we have developed tools that enable us to discover cell signaling interventions that can control macrophage effector functions (biological design principles) and gene circuit architectures that can exert robust behaviors in human macrophages (gene circuit design principles). Here we will apply both these approaches to elucidate biological and gene circuit design principles that can be used to engineer therapeutic macrophages that can suppress inflammatory cytokine secretion or induce anti- inflammatory cytokine secretion in inflamed tissues. We will elucidate biological design principles using an interpretable machine learning approach that we previous developed. This approach combines biochemical screening with predictive network modeling and machine learning to discover network mechanisms causally regulating cell phenotypes. We will elucidate gene circuit design principles using a recently developed ultra-high- throughput genetic screening approach (CLASSIC). This approach synthesizes and screens large, barcoded gene circuit libraries to associate gene circuit architectures with gene circuit behaviors. With these design principles we will engineer gene circuits for controlling IL-1β or IL-10 secretion in inflamed tissue contexts and validate these synthetic gene circuits in human monocyte-derived macrophages and THP-1 cells. In its entirety, this Trailblazer R21 project is a first step towards addressing the unmet need for design principles for engineering therapeutic macrophages. We envision that insights gained by this project will help establish engineered macrophages as a platform technology for treating a wide range of complex human diseases.