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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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The transcription factor PlagL2 activates Mpl transcription and signaling in hematopoietic progenitor and leukemia cells

Leukemia. 2011. Vol. 25. No. 4. P. 655–662.
Landrette S. F., Madera D., He F., Castilla L. H.

Cytokine signaling pathways are frequent targets of oncogenic mutations in acute myeloid leukemia (AML), promoting proliferation and survival. We have previously shown that the transcription factor PLAGL2 promotes proliferation and cooperates with the leukemia fusion protein Cbfβ-SMMHC in AML development. Here, we show that PLAGL2 upregulates expression of the thrombopoietin receptor Mpl, using two consensus sites in its proximal promoter. We also show that Mpl overexpression efficiently cooperates with Cbfβ-SMMHC in development of leukemia in mice. Finally, we demonstrate that PlagL2-expressing leukemic cells show hyper-activation of Jak2 and downstream STAT5, Akt and Erk1/2 pathways in response to Thpo ligand. These results show that PlagL2 expression activates expression of Mpl in hematopoietic progenitors, and that upregulation of wild-type Mpl provides an oncogenic signal in cooperation with CBFβ-SMMHC in mice.

Research target: Basic Medicine Biology
Language: English
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Keywords: Transcription factorsacute myeloid leukemia PlagL2
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