SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Current Estimates of T Cell Kinetics in Humans

Macallan, DC; Busch, R; Asquith, B (2019) Current Estimates of T Cell Kinetics in Humans. Current Opinion in Systems Biology. ISSN 2452-3100 https://doi.org/10.1016/j.coisb.2019.10.002
SGUL Authors: Macallan, Derek Clive

[img] Microsoft Word (.docx) Accepted Version
Available under License Creative Commons Attribution.
Download (177kB)
[img] Microsoft Word (.docx) Accepted Version
Available under License Creative Commons Attribution.
Download (49kB)

Abstract

Stable isotope labelling is a generally applicable method of quantifying cell dynamics. Its advent has opened up the way for the quantitative study of T cells in humans. However, the literature is confusing as estimates vary by orders of magnitude between studies. In this short review we aim to explain the reasons for the discrepancies in estimates, clarify which estimates have been superseded and why and highlight the current best estimates. We focus on stable isotope labelling of T cell subsets in healthy humans.

Item Type: Article
Additional Information: © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Current Opinion in Systems Biology
ISSN: 2452-3100
Dates:
DateEvent
6 November 2019Published Online
22 October 2019Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
103865Wellcome Trusthttp://dx.doi.org/10.13039/100004440
J007439Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
G1001052Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
317040Seventh Framework Programmehttp://dx.doi.org/10.13039/501100004963
764698Horixon 2020UNSPECIFIED
URI: http://sgultest.da.ulcc.ac.uk/id/eprint/111353
Publisher's version: https://doi.org/10.1016/j.coisb.2019.10.002

Statistics

Item downloaded times since 06 Nov 2019.

Actions (login required)

Edit Item Edit Item