Literature DB >> 27107166

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

Thomas Höfer1, Melania Barile2, Michael Flossdorf2.   

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.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27107166     DOI: 10.1016/j.copbio.2016.04.001

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  3 in total

1.  Quantifying the Dynamics of Hematopoiesis by In Vivo IdU Pulse-Chase, Mass Cytometry, and Mathematical Modeling.

Authors:  Amir Erez; Ratnadeep Mukherjee; Grégoire Altan-Bonnet
Journal:  Cytometry A       Date:  2019-05-31       Impact factor: 4.355

2.  Optimal experimental design for mathematical models of haematopoiesis.

Authors:  Luis Martinez Lomeli; Abdon Iniguez; Prasanthi Tata; Nilamani Jena; Zhong-Ying Liu; Richard Van Etten; Arthur D Lander; Babak Shahbaba; John S Lowengrub; Vladimir N Minin
Journal:  J R Soc Interface       Date:  2021-01-27       Impact factor: 4.118

Review 3.  Elucidating host-microbe interactions in vivo by studying population dynamics using neutral genetic tags.

Authors:  Annika Hausmann; Wolf-Dietrich Hardt
Journal:  Immunology       Date:  2020-10-19       Impact factor: 7.397

  3 in total

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