Standard

Deregulation of p53-dependent microRNAs : The results of mathematical modeling. / Voropaeva, Olga F.; Senotrusova, Sof'ya Dmitrievna; Shokin, Yurii Ivanovitch.

In: Mathematical Biology and Bioinformatics, Vol. 12, No. 1, 01.01.2017, p. 151-175.

Research output: Contribution to journal › Article › peer-review

Harvard

Voropaeva, OF, Senotrusova, SD & Shokin, YI 2017, 'Deregulation of p53-dependent microRNAs: The results of mathematical modeling', Mathematical Biology and Bioinformatics, vol. 12, no. 1, pp. 151-175. https://doi.org/10.17537/2017.12.151

APA

Voropaeva, O. F., Senotrusova, S. D., & Shokin, Y. I. (2017). Deregulation of p53-dependent microRNAs: The results of mathematical modeling. Mathematical Biology and Bioinformatics, 12(1), 151-175. https://doi.org/10.17537/2017.12.151

Vancouver

Voropaeva OF, Senotrusova SD, Shokin YI. Deregulation of p53-dependent microRNAs: The results of mathematical modeling. Mathematical Biology and Bioinformatics. 2017 Jan 1;12(1):151-175. doi: 10.17537/2017.12.151

Author

Voropaeva, Olga F. ; Senotrusova, Sof'ya Dmitrievna ; Shokin, Yurii Ivanovitch. / Deregulation of p53-dependent microRNAs : The results of mathematical modeling. In: Mathematical Biology and Bioinformatics. 2017 ; Vol. 12, No. 1. pp. 151-175.

BibTeX

@article{fc91935e34194c38ab21ca1d2ab101e8,
title = "Deregulation of p53-dependent microRNAs: The results of mathematical modeling",
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.",
keywords = "Delay differential equation, Deregulation of miRNAs, Mdm2, MicroRNA, MiR-145, MiR-34, Numerical simulation, Oncological prognosis, P53, Positive direct connection, Transactivation, Tumor marker",
author = "Voropaeva, {Olga F.} and Senotrusova, {Sof'ya Dmitrievna} and Shokin, {Yurii Ivanovitch}",
year = "2017",
month = jan,
day = "1",
doi = "10.17537/2017.12.151",
language = "English",
volume = "12",
pages = "151--175",
journal = "Mathematical Biology and Bioinformatics",
issn = "1994-6538",
publisher = "Institute of Mathematical Problems of Biology",
number = "1",

}

RIS

TY - JOUR

T1 - Deregulation of p53-dependent microRNAs

T2 - The results of mathematical modeling

AU - Voropaeva, Olga F.

AU - Senotrusova, Sof'ya Dmitrievna

AU - Shokin, Yurii Ivanovitch

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

KW - Delay differential equation

KW - Deregulation of miRNAs

KW - Mdm2

KW - MicroRNA

KW - MiR-145

KW - MiR-34

KW - Numerical simulation

KW - Oncological prognosis

KW - P53

KW - Positive direct connection

KW - Transactivation

KW - Tumor marker

UR - http://www.scopus.com/inward/record.url?scp=85051084750&partnerID=8YFLogxK

U2 - 10.17537/2017.12.151

DO - 10.17537/2017.12.151

M3 - Article

AN - SCOPUS:85051084750

VL - 12

SP - 151

EP - 175

JO - Mathematical Biology and Bioinformatics

JF - Mathematical Biology and Bioinformatics

SN - 1994-6538

IS - 1

ER -

ID: 16410044