Date:
Location:
Guest speaker:
Sean Bendell
Stanford University
Abstract:
Tissue regeneration, an orchestrated progression of cells from an immature to a mature state, is conventionally represented as a series of distinctive cell subsets. Yet a continuum of transitional cell states exists between these discrete stages. We use the deep phenotyping of single-cell mass cytometry to leverage this continuum by aligning cells of a given lineage in a unified trajectory that accurately predicts the developmental path de novo. Applied to primary human B-cell lymphopoiesis, the Wanderlust algorithm constructed trajectories extending from hematopoietic stem cells to naïve B cells. Analysis of these trajectories revealed nascent fractions of B-cell progenitors and aligned them with developmentally queued regulatory signaling (IL-7/STAT5) and cellular events (immunoglobulin rearrangement). The analysis highlighted developmental checkpoints across which regulatory signals are rewired, paralleling changes in cellular state. This study provides the most comprehensive phenotypic analysis of human B-cell lymphopoiesis to date, laying a foundation to apply such methods to other tissue types and “corrupted” developmental processes such as cancer.
Registration Link: http://info.fluidigm.com/Bendall-Webinar.html