Evidence map›Paper›PMID 21292990›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

Feedback regulation of proliferation vs. differentiation rates explains the dependence of CD4 T-cell expansion on precursor number.

Gennady Bocharov, Juan Quiel, Tatyana Luzyanina, Hagit Alon, Egor Chiglintsev, Valery Chereshnev, Martin Meier-Schellersheim, William E Paul, Zvi Grossman

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

25 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Small spleen peptides prevent development of psoriatic arthritis via restoration of peripheral tolerance.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. How a well-adapting immune system remembers.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  9. Regulation of T cell expansion by antigen presentation dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Quantifying T lymphocyte turnover.Journal of theoretical biology · 2013
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors at 7 institutions in 3 countries.

Gennady BocharovInstitute of Numerical Mathematics, Russian Academy of Sciences, Moscow 119333, Russia. bocharov@inm.ras.ru
Juan Quiel
Tatyana Luzyanina
Hagit Alon
Egor Chiglintsev
Valery Chereshnev
Martin Meier-Schellersheim
William E Paul
Zvi Grossman
National Institute of Allergy and Infectious Diseases · USNational Institutes of Health · USInstitute of Immunology and Physiology · RUInstitute of Mathematical Problems of Biology · RUInstitute of Numerical Mathematics · RUNovosibirsk State University · RUTel Aviv University · IL

Funding

Computational Biology in Systems Immunology and Infectious Disease ModelingZIAAI001076 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI MEIER-SCHELLERSHEIM, MARTIN · 2009 to 2025
$25.4M
Lymphocyte DynamicsZIAAI000926 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI GERMAIN, RONALD N · 2009 to 2017
$9.7M
Mathematical Modeling of Cell Population DynamicsZIAAI001116 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI MEIER-SCHELLERSHEIM, MARTIN · 2009 to 2017
$896k
Intramural NIH HHS
6 · The paper itself

Abstract

The mechanisms regulating clonal expansion and contraction of T cells in response to immunization remain to be identified. A recent study established that there was a log-linear relation between CD4 T-cell precursor number (PN) and factor of expansion (FE), with a slope of ∼-0.5 over a range of 3-30,000 precursors per mouse. The results suggested inhibition of precursor expansion either by competition for specific antigen-presenting cells or by the action of other antigen-specific cells in the same microenvironment as the most likely explanation. Several molecular mechanisms potentially accounting for such inhibition were examined and rejected. Here we adopt a previously proposed concept, "feedback-regulated balance of growth and differentiation," and show that it can explain the observed findings. We assume that the most differentiated effectors (or memory cells) limit the growth of less differentiated effectors, locally, by increasing the rate of differentiation of the latter cells in a dose-dependent manner. Consequently, expansion is blocked and reversed after a delay that depends on initial PN, accounting for the dependence of the peak of the response on that number. We present a parsimonious mathematical model capable of reproducing immunization response kinetics. Model definition is achieved in part by requiring consistency with available BrdU-labeling and carboxyfluorescein diacetate succinimidyl ester (CFSE)-dilution data. The calibrated model correctly predicts FE as a function of PN. We conclude that feedback-regulated balance of growth and differentiation, although awaiting definite experimental characterization of the hypothetical cells and molecules involved in regulation, can explain the kinetics of CD4 T-cell responses to antigenic stimulation.

Indexed as

Cell DifferentiationCell ProliferationFeedback, PhysiologicalModels, BiologicalAnimalsCD4-Positive T-LymphocytesKineticsLymphocyte ActivationLymphocyte CountMicePrecursor Cells, T-Lymphoid

Identifiers

PMID21292990
PMCPMC3044411
OpenAlexW2046763569

What OpenQuestion holds

Textmetadata
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.