Literature DB >> 34595312

Analysing Temporal Dynamics of T Cell Division in vivo Using Ki67 and BrdU Co-labelling by Flow Cytometry.

Thea Hogan1, Andrew Yates2,3, Benedict Seddon1.   

Abstract

This protocol was developed to increase the richness of information available from in vivo T cell proliferation studies. DNA labelling techniques such as BrdU incorporation allow precise control of label administration and withdrawal, so that the division history of a population can be tracked in detail over long timeframes (days-weeks). Ki67 is expressed in the nucleus of dividing cells, and is retained for a short time (3-4 days) after division ( Gossel et al., 2017 ); therefore acting as a molecular clock to identify cells that have recently divided. Combining these two techniques allows the integration of current and historical proliferation information from individual cells within a population. This data can subsequently be used to probe population dynamics by fitting mathematical models of proliferation ( Gossel et al., 2017 ).
Copyright © The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  BrdU labelling; DNA labelling; Flow cytometry; Ki67; T cell proliferation; T cells

Year:  2017        PMID: 34595312      PMCID: PMC8438470          DOI: 10.21769/BioProtoc.2649

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  5 in total

1.  Quantification of cell turnover kinetics using 5-bromo-2'-deoxyuridine.

Authors:  S Bonhoeffer; H Mohri; D Ho; A S Perelson
Journal:  J Immunol       Date:  2000-05-15       Impact factor: 5.422

Review 2.  Lymphocyte kinetics: the interpretation of labelling data.

Authors:  Becca Asquith; Christophe Debacq; Derek C Macallan; Luc Willems; Charles R M Bangham
Journal:  Trends Immunol       Date:  2002-12       Impact factor: 16.687

3.  Quantifying T lymphocyte turnover.

Authors:  Rob J De Boer; Alan S Perelson
Journal:  J Theor Biol       Date:  2013-01-09       Impact factor: 2.691

4.  Memory CD4 T cell subsets are kinetically heterogeneous and replenished from naive T cells at high levels.

Authors:  Graeme Gossel; Thea Hogan; Benedict Seddon; Andrew J Yates; Daniel Cownden
Journal:  Elife       Date:  2017-03-10       Impact factor: 8.140

5.  Turnover of naive- and memory-phenotype T cells.

Authors:  D F Tough; J Sprent
Journal:  J Exp Med       Date:  1994-04-01       Impact factor: 14.307

  5 in total

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