Evidence map›Paper›PMID 23313150›Full record

ArticleJournal of theoretical biology2013

Quantifying T lymphocyte turnover.

Rob J De Boer, Alan S Perelson

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

130 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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  11. Article
  12. Review
  13. Review
  14. A guide to adaptive immune memory.Nature reviews. Immunology · 2024
    Review
  15. Article
  16. Article
  17. Modelling HIV-1 control and remission.NPJ systems biology and applications · 2024
    Review
  18. Article
  19. The dynamics and longevity of circulating CD4bioRxiv : the preprint server for biology · 2024
    Article
  20. Article

70 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Rob J De BoerTheoretical Biology & Bioinformatics, Utrecht University, The Netherlands; Santa Fe Institute, Santa Fe, NM 87501, USA. r.j.deboer@uu.nl
Alan S Perelson

Funding

UNM COBRE: THEORETICAL STUDY OF SPECIFICITY OF RNA SILENCING MECHANISMP20RR018754 · NCRR · UNIVERSITY OF NEW MEXICO · PI BAKER, MICHELLE L · 2003 to 2011
$16.7M
Visualizing, Quantifying, and Modeling of T Cell Response to Listeria InfectionP01AI071195 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CHAKRABORTY, ARUP K. · 2006 to 2010
$8.1M
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
T CELL RECEPTOR STRUCTURE AND EXPRESSIONR01AI022511 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 1985 to 2014
$3.3M
Immune System Modeling/HIVR37AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 2002 to 2011
$2.4M
NCRR NIH HHS P20 RR018754NCRR NIH HHS P20-RR018754NIAID NIH HHS AI028433NIAID NIH HHS HHSN272201000055CNIAID NIH HHS P01 AI071195NIAID NIH HHS P01-AI071195NIAID NIH HHS R01 AI022511NIAID NIH HHS R01 AI028433NIAID NIH HHS R37 AI028433NIH HHS OD011095NIH HHS R01 OD011095
6 · The paper itself

Abstract

Peripheral T cell populations are maintained by production of naive T cells in the thymus, clonal expansion of activated cells, cellular self-renewal (or homeostatic proliferation), and density dependent cell life spans. A variety of experimental techniques have been employed to quantify the relative contributions of these processes. In modern studies lymphocytes are typically labeled with 5-bromo-2'-deoxyuridine (BrdU), deuterium, or the fluorescent dye carboxy-fluorescein diacetate succinimidyl ester (CFSE), their division history has been studied by monitoring telomere shortening and the dilution of T cell receptor excision circles (TRECs) or the dye CFSE, and clonal expansion has been documented by recording changes in the population densities of antigen specific cells. Proper interpretation of such data in terms of the underlying rates of T cell production, division, and death has proven to be notoriously difficult and involves mathematical modeling. We review the various models that have been developed for each of these techniques, discuss which models seem most appropriate for what type of data, reveal open problems that require better models, and pinpoint how the assumptions underlying a mathematical model may influence the interpretation of data. Elaborating various successful cases where modeling has delivered new insights in T cell population dynamics, this review provides quantitative estimates of several processes involved in the maintenance of naive and memory, CD4(+) and CD8(+) T cell pools in mice and men.

Indexed as

Models, ImmunologicalCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCell DivisionHumansImmunity, CellularLymphocyte ActivationT-LymphocytesT-Lymphocyte Subsets

Identifiers

PMID23313150
PMCPMC3640348

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.