Stem-cell dynamics and lineage topology from in vivo fate mapping in the hematopoietic system. (June 2016)

• Record Type: Journal Article
• Authors: Höfer, Thomas; Barile, Melania; Flossdorf, Michael
• Is Part Of: Current opinion in biotechnology. Volume 39(2016)
• Page Start: 150
• Page End: 156
• Publication Date: 2016-06
• Subjects: Biotechnology -- Periodicals; 660.6
• DOI: 10.1016/j.copbio.2016.04.001
• Languages: English
• ISSNs: 0958-1669

Abstract

Graphical abstract: Highlights: Combining fate mapping in vivo with mathematical modeling yields quantitative insights into the native dynamics of stem and progenitor cells. Population-based fate mapping data allow the inference of proliferation and differentiation rates. Single-cell-based fate mapping data allow the inference of lineage pathway topology. The mathematical inference methods developed for the hematopoietic system might prove useful for other stem-cell systems. Abstract : In recent years, sophisticated fate-mapping tools have been developed to study the behavior of stem cells in the intact organism. These experimental approaches are beginning to yield a quantitative picture of how cell numbers are regulated during steady state and in response to challenges. Focusing on hematopoiesis and immune responses, we discuss how novel mathematical approaches driven by these fate-mapping data have provided insights into the dynamics and topology of cellular differentiation pathways in vivo . The combination of experiment and theory has allowed to quantify the degree of self-renewal in stem and progenitor cells, shown how native hematopoiesis differs fundamentally from post-transplantation hematopoiesis, and uncovered that the diversification of T lymphocytes during immune responses resembles tissue renewal driven by stem cells.