Mathematical modelling of megakaryopoiesis in Mpl-deficient and continuously thrombopoietin-stimulated mice points to an unknown control mechanism
Diebner, H. H.; Gottschalk, A.; Baldow, C.; Klose, M.; Glauche, I.
Show abstract
Thrombopoietin (TPO) is the ligand of the Mpl receptor and the key regulator of megakaryopoiesis and platelet production. A loss or gain of the TPO-receptor function affects haematopoiesis and results in severe diseases in humans. Appropriate mouse strains are available to mimic both myeloproliferative neoplasm (MPN) and congenital amegakaryocytic thrombocytopenia (CAMT) resulting from TPO overexpression or knockout of TPO receptor Mpl on megakaryocytes and platelets, respectively. However, at a quantitative level it is not understood, how the known regulations can establish the impaired but stable disease phenotypes. Starting out from an established mathematical model for megakaryopoiesis, we aim to adapt it to both the healthy situation and to distinct diseased phenotypes mimicking MPN. We thereby identify, that some of the model parameters are invariant with respect to the mouse strain while others have to be estimated in a strain-dependent manner. A systematic process of parameter identification provides strong evidence that the well-known excess production of megakaryocytes and early progenitors in MPN is either directly contingent on Mpl expression of platelets and megakaryocytes or, alternatively, that the knockout of Mpl is not as precisely restricted to megakaryocytes and platelets but may also effect their progenitors. In conclusion, our analysis hints towards an opaque control mechanism rendering megakaryopoiesis at a yet unknown level, and awaiting further experimental evaluation.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Data-driven modeling predicts gene regulatory network dynamics during the differentiation of multipotential progenitors 94%
- Integrated computational and in vivo models reveal Key Insights into Macrophage Be-havior during bone healing 93%
- Epigenetic Instability May Alter Cell State Transitions and Anticancer Drug Resistance 93%
Similar papers in this journal
- Differential response to cytotoxic therapy explains treatment dynamics of AML patients: insights from a mathematical modelling approach 93%
- Novel Generic Models for Differentiating Stem Cells Reveal Oscillatory Mechanisms 93%
- Understanding Antibody-Target Antigen Interactions and the Avidity Effect Using Mathematical Modelling 92%
Similar papers in this journal
Similar papers in this journal
- Easing COVID-19 lockdown measures while protecting the older restricts the deaths to the level of the full lockdown 93%
- Phenotypic Approaches to T Cell Activation: A Comparative Mathematical Modeling Study 93%
- Mutualistic cross-feeding in microbial systems generates bistability via an Allee effect 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.