Single Cell Analysis of Inflammation

Understanding cellular heterogeneity in response to an injury,biomaterial implantation and/or drug delivery is instrumental to developing a successful regenerative medicine treatment. Therefore, we regularly take advantage of techniques such as high dimensional flow cytometry and particle tracking using confocal microscopy to fully capture such responses.


As single cell analytical techniques evolve the ability to capture a dizzying array of variables (i.e. high dimensional flow cytometry, mass cytometry, single cell RNA seq), our ability to analyze, digest and understand this information becomes a major hurdle towards gaining valuable insights from the data. Many dimensionality reduction and clustering techniques have been, and continue to be, developed to make accurate and insightful conclusions from such data sets. However, many of these techniques are severely underutilized outside the field of Immune Biology. We are pioneering a growing movement in the field of Regenerative Medicine to apply some of these analysis techniques to capture subtle immune cell heterogeneity in the context of inflammation and wound healing that otherwise would have been overlooked. This helps us understand how immune cell heterogeneity responds to inflammation and affects tissue regeneration which informs our development of immunomodulatory therapeutics.