Russian versionEnglish version   
Volume 12   Issue 1   Year 2017
Deregulation of p53-dependent microRNAs: the results of mathematical modeling

Olga F. Voropaeva, Sofia D. Senotrusova, Yurii I. Shokin

Institute of Computational Technologies SB RAS, Novosibirsk
Novosibirsk State University, Novosibirsk
 
Abstract. The mathematical model of the dynamics of the tumor markers network p53–Mdm2–microRNA for microRNA class with a direct positive connection with p53 was formulated. Numerical investigation of the microRNA functioning in conditions of the deregulation of p53 and p53–Mdm2-network was carried out. The deregulation of microRNA in detail was studied. The situations in which p53, its inhibitor Mdm2 and microRNAs exhibit critical properties for the patient's status and can be identified as diagnostic markers of cancer and neurodegenerative disease were studied. The results of numerical analysis are in good agreement with the data of clinical and laboratory studies of known microRNAs.
 
 
 

Key words: numerical simulation, delay differential equation, tumor marker, p53, Mdm2, microRNA, positive direct connection, oncological prognosis, transactivation, miR-34, miR-145, deregulation of miRNAs. 

Table of Contents Original Article
Math. Biol. Bioinf.
2017;12(1):151-175
doi: 10.17537/2017.12.151
published in Russian

Abstract (rus.)
Abstract (eng.)
Full text (rus., pdf)
References

 

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