Literature DB >> 31150166

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

Amir Erez1, Ratnadeep Mukherjee1, Grégoire Altan-Bonnet1.   

Abstract

We present a new method to directly quantify the dynamics of differentiation of multiple cellular subsets in unperturbed mice. We combine a pulse-chase protocol of 5-iodo-2'-deoxyuridine (IdU) injections with subsequent analysis by mass cytometry (CyTOF) and mathematical modeling of the IdU dynamics. Measurements by CyTOF allow for a wide range of cells to be analyzed at once, due to the availability of a large staining panel without the complication of fluorescence spillover. These are also compatible with direct detection of integrated iodine signal, with minimal impact on immunophenotyping based on the surface markers. Mathematical modeling beyond a binary classification of surface marker abundance allows for a continuum of cellular states as the cells transition from one state to another. Thus, we present a complete and robust method for directly quantifying differentiation at the systemic level, allowing for system-wide comparisons between different mouse strains and/or experimental conditions. Published 2019. This article is a U.S. Government work and is in the public domain in the USA. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  B-cells; CyTOF; IdU; bone marrow; differentiation; hematopoiesis; neutrophils

Mesh:

Substances:

Year:  2019        PMID: 31150166      PMCID: PMC6800754          DOI: 10.1002/cyto.a.23799

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  33 in total

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Journal:  Cytometry A       Date:  2008-10       Impact factor: 4.355

2.  Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development.

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Journal:  Cell       Date:  2014-04-24       Impact factor: 41.582

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Journal:  Immunity       Date:  2012-12-27       Impact factor: 31.745

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Journal:  Curr Opin Biotechnol       Date:  2016-04-20       Impact factor: 9.740

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Authors:  Jesse W Cotari; Guillaume Voisinne; Grégoire Altan-Bonnet
Journal:  Curr Opin Biotechnol       Date:  2013-06-07       Impact factor: 9.740

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Journal:  J Allergy Clin Immunol       Date:  2013-03-05       Impact factor: 10.793

7.  Neurogenin 3+ cells contribute to β-cell neogenesis and proliferation in injured adult mouse pancreas.

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Journal:  Cell Death Dis       Date:  2013-03-07       Impact factor: 8.469

8.  The origin and kinetics of mononuclear phagocytes.

Authors:  R van Furth; Z A Cohn
Journal:  J Exp Med       Date:  1968-09-01       Impact factor: 14.307

9.  G0-G1 transition and the restriction point in pancreatic β-cells in vivo.

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Journal:  Diabetes       Date:  2013-10-15       Impact factor: 9.461

10.  RNA velocity of single cells.

Authors:  Gioele La Manno; Ruslan Soldatov; Amit Zeisel; Emelie Braun; Hannah Hochgerner; Viktor Petukhov; Katja Lidschreiber; Maria E Kastriti; Peter Lönnerberg; Alessandro Furlan; Jean Fan; Lars E Borm; Zehua Liu; David van Bruggen; Jimin Guo; Xiaoling He; Roger Barker; Erik Sundström; Gonçalo Castelo-Branco; Patrick Cramer; Igor Adameyko; Sten Linnarsson; Peter V Kharchenko
Journal:  Nature       Date:  2018-08-08       Impact factor: 49.962

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