Evidence map›Paper›PMID 39250660›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Dynamically adjusted cell fate decisions and resilience to mutant invasion during steady-state hematopoiesis revealed by an experimentally parameterized mathematical model.

Natalia L Komarova, Chiara Rignot, Angela G Fleischman, Dominik Wodarz

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
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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

4 authors.

Natalia L KomarovaDepartment of Mathematics, University of California San Diego, La Jolla, CA 92093.
Chiara RignotDepartment of Mathematics, University of California Irvine, Irvine, CA 92697.
Angela G FleischmanDepartment of Medicine, University of California Irvine, Irvine, CA 92697.
Dominik WodarzDepartment of Ecology, Behavior and Evolution, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0002-8017-3707

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
Effect of inflammation on JAK2 mutant evolution in the hematopoietic system: mathematical models and experimentsR37CA271172 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Angela Goffredo Fleischman, DOMINIK F WODARZ · 2022 to 2026
$2.9M
HHS | NIH (NIH) R37CA271172NCI NIH HHS P30 CA062203NCI NIH HHS R37 CA271172NSF (NSF) DMS 2152155
6 · The paper itself

Abstract

A major next step in hematopoietic stem cell (HSC) biology is to enhance our quantitative understanding of cellular and evolutionary dynamics involved in undisturbed hematopoiesis. Mathematical models have been and continue to be key in this respect, and are most powerful when parameterized experimentally and containing sufficient biological complexity. In this paper, we use data from label propagation experiments in mice to parameterize a mathematical model of hematopoiesis that includes homeostatic control mechanisms as well as clonal evolution. We find that nonlinear feedback control can drastically change the interpretation of kinetic estimates at homeostasis. This suggests that short-term HSC and multipotent progenitors can dynamically adjust to sustain themselves temporarily in the absence of long-term HSCs, even if they differentiate more often than they self-renew in undisturbed homeostasis. Additionally, the presence of feedback control in the model renders the system resilient against mutant invasion. Invasion barriers, however, can be overcome by a combination of age-related changes in stem cell differentiation and evolutionary niche construction dynamics based on a mutant-associated inflammatory environment. This helps us understand the evolution of e.g.,

Indexed as

Cell DifferentiationHematopoiesisHematopoietic Stem CellsMutationAnimalsCell LineageClonal EvolutionDioxygenasesDNA-Binding ProteinsDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3AHomeostasisMiceModels, BiologicalModels, TheoreticalDioxygenasesDNA-Binding ProteinsDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ATet2 protein, mouseclonal hematopoiesisevolutionary dynamicshematopoietic stem cellsmathematical models

Identifiers

PMID39250660
PMCPMC11420203

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Registered trials

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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.