BME Seminar Series: Rong Fan, Department of Biomedical Engineering, Yale University, Yale Comprehensive Cancer Center
Abstract:
Secreted proteins including cytokines, chemokines, and growth factors represent important functional
regulators mediating a range of cellular behavior and cell-cell paracrine/autocrine signaling in tumor
microenvironment. Detection of all these proteins is a powerful functional assay of tumor cells as well
as other types of cells in a tumor microenvironment. This also represents a new approach to identify deep
phenotypes of cancer cells even within the phenotypically pure lineages. However due to the high degree
of cellular heterogeneity and, more importantly, polyfunctionality of single cells, it is required to
simultaneously measure a large array of functional proteins from each cell and to rapidly assay a large
number of single cells in parallel. In this talk, I describe a microchip platform,
Proteoplex 1.1, consisting
of a large array of sub-nanoliter microchambers integrated with highly miniaturized antibody barcodes for
45-plexed protein detection on thousands of single cells in parallel, which represents a new world record in
term of the multiplexing capacity of single-cell protein assay. This platform has been fully validated using
human cancer cell lines and compared against the start-of-the-art technologies such as flow cytometric analysis.
We further applied this platform to the study of both hematologic cancer and solid tumor. Using a dimensional
reduction algorithm, we observed new deep functional phenotypes amongst pure
cancer cell lineages in the
high-dimensional phenotypic space, which could provide new insights to intra-tumor heterogeneity and evolutionary
dynamics. Our technology also has a number of clinician-friendly features such as ease of operation, low sample
consumption and standardized data analysis, representing a potentially transformative tool for deep phenotyping
of cancer cells in the clinical settings for more accurate diagnosis and monitoring of human cancers.