ArticlePLoS computational biology2009
Integrating extrinsic and intrinsic cues into a minimal model of lineage commitment for hematopoietic progenitors.
Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Cell Decision Making through the Lens of Bayesian Learning.Entropy (Basel, Switzerland) · 2023Article
- Trajectory-based energy landscapes of gene regulatory networks.Biophysical journal · 2021Article
- Variable cellular decision-making behavior in a constant synthetic network topology.BMC bioinformatics · 2019Article
- Article
- Robust hematopoietic progenitor cell commitment in the presence of a conflicting cue.Journal of cell science · 2015Article
- The homeobox gene DLX4 regulates erythro-megakaryocytic differentiation by stimulating IL-1β and NF-κB signaling.Journal of cell science · 2015Article
- Cell commitment motif composed of progenitor-specific transcription factors and mutual-inhibition regulation.IET systems biology · 2014Article
- Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell.BMC systems biology · 2014Article
- Stochastic cytokine expression induces mixed T helper cell States.PLoS biology · 2013Article
- Asymmetry in erythroid-myeloid differentiation switch and the role of timing in a binary cell-fate decision.Frontiers in immunology · 2013Article
- Mathematical modelling of stem cell differentiation: the PU.1-GATA-1 interaction.Journal of mathematical biology · 2012Article
- Erythropoietin receptor response circuits.Current opinion in hematology · 2010Review
- Temperature control of fimbriation circuit switch in uropathogenic Escherichia coli: quantitative analysis via automated model abstraction.PLoS computational biology · 2010Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autoregulation of transcription factors and cross-antagonism between lineage-specific transcription factors are a recurrent theme in cell differentiation. An equally prevalent event that is frequently overlooked in lineage commitment models is the upregulation of lineage-specific receptors, often through lineage-specific transcription factors. Here, we use a minimal model that combines cell-extrinsic and cell-intrinsic elements of regulation in order to understand how both instructive and stochastic events can inform cell commitment decisions in hematopoiesis. Our results suggest that cytokine-mediated positive receptor feedback can induce a "switch-like" response to external stimuli during multilineage differentiation by providing robustness to both bipotent and committed states while protecting progenitors from noise-induced differentiation or decommitment. Our model provides support to both the instructive and stochastic theories of commitment: cell fates are ultimately driven by lineage-specific transcription factors, but cytokine signaling can strongly bias lineage commitment by regulating these inherently noisy cell-fate decisions with complex, pertinent behaviors such as ligand-mediated ultrasensitivity and robust multistability. The simulations further suggest that the kinetics of differentiation to a mature cell state can depend on the starting progenitor state as well as on the route of commitment that is chosen. Lastly, our model shows good agreement with lineage-specific receptor expression kinetics from microarray experiments and provides a computational framework that can integrate both classical and alternative commitment paths in hematopoiesis that have been observed experimentally.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.