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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Mathematical model of hypoxia and tumor signaling interplay reveals the importance of hypoxia and cell-to-cell variability in tumor growth inhibition

Fig. 1

Steady state biomolecule concentration exhibits normal and bimodal distribution. a Histograms of selected biomolecule levels at steady-state after repeated simulation (n = 20,000) using randomly selected initial concentration levels. Most biomolecules exhibit normal or near normal distributions. Skewed distributions were seen in six of them: PI3K, pERK, PIP3_Akt (the complex of PIP3 and Akt), pPIP3_Akt, MEK, PLCR (phosphorylated phospholipase Cγ1). Seven biomolecules exhibit bimodal distribution: Akt, ERK, PIP3 (phosphatidylinositol-4,5-bisphosphate 3-kinase), Rafi (inhibited RAF), pRsk (phosphorylated ribosomal s6 kinase), Rsk, Pip3_PDK (the complex of PIP3 and phosphoinositide dependent protein kinase). b Examples of two-dimensional histograms showing correlation of biomolecule concentrations clustering into distinct subpopulations

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BMC Bioinformatics

ISSN: 1471-2105

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