Immune homeostasis requires constant collaboration between a diverse and dynamic set of cell types. Within our immune tissues, distinct cellular subsets must work together to defend against pathogenic threats, maintain tolerance, and establish memory. While surveying multiple healthy individuals enables exploration of potential ensemble immune solutions, contrasts against outliers of health and disease can reveal deviations that underscore diagnostic, therapeutic, and prophylactic features of enhanced function or dysfunction. Here, I will discuss how we can leverage single-cell genomic approaches – and, in particular, single-cell RNA-Seq – to explore the extensive functional diversity among immune cells within and across individuals, and uncover, from the bottom-up, distinct cell types and states associated with improved immunity. Moreover, I will discuss emerging experimental and computational strategies for altering ensemble cellular responses through targeted intra- or extracellular induction of these preferred types and states.
Principal Investigator Kent Larson
Principal Investigator Mathias Kolle
Principal Investigator Eboney Hearn
Engineering principles and biological insights can open up new capabilities for biotechnology. This talk will highlight two solutions to challenges faced in improving patient care. First, applying basic principles in chemical engineering to the limitations in blood-based cancer diagnostics today led to new approaches to enhance the amounts of cell-free DNA recovered using a novel 'enhancing agent' similar to contrast agents used in other diagnostics. Second, leveraging biological insights to recast the engineering operations required to enable small biomanufacturing systems for distributed and lower capital-intensive production.
Principal Investigator Franz-Josef Ulm
Cell Painting to Accelerate Drug Discovery: Finding Disease Phenotypes and Candidate Therapeutics Using Images Anne Carpenter Senior Director of the Imaging Platform, Institute Scientist, Broad Institute of Harvard and MIT