The gene network and knowledge base on human thermoregulation
https://doi.org/10.18699/vjgb-25-106
Abstract
Reconstruction and analysis of gene networks regulating biological processes are among the modern methodological approaches for studying complex biological systems that ensure the vital activity of organisms. Thermoregulation is an important evolutionary acquisition of warmblooded animals. Multiple physiological systems (nervous, cardiovas cular, endocrine, respiratory, muscular, etc.) are involved in this process, maintaining stable body temperature despite changes in ambient temperature.
This study aims to perform a computer reconstruction of the human thermoregulation gene network and present the results in the Termo_Reg_Human 1.0 knowledge base.
The gene network was reconstructed using the ANDSystem software and information system, designed for the automated extraction of knowledge and facts from scientific publications and biomedical databases based on machine learning and artificial intelligence methods. The Termo_Reg_Human 1.0 knowledge base (https://www.sysbio.ru/ThermoReg_Human/) contains information about the human thermoregulation gene network, including a description of 469 genes, 473 proteins, and 265 microRNAs important for its functioning, interactions between these objects, and the evolutionary characteristics of the genes. Using the AND-Visio software tool (a module of AND-System), each gene, protein, and microRNA involved in the thermoregulation of the human body was prioritized according to its functional significance, i. e., the number of interactions with other objects in the reconstructed gene network. It was found that the key objects with the largest number of functional interactions in the human thermoregulation gene network included the UCP1, VEGFA, PPARG and DDIT3 genes; STAT3, JUN, VEGFA, TLR4 and TNFA proteins; and the microRNAs hsamir335 and hsamir26b. We revealed that the set of 469 human genes from the network was enriched with genes whose ancestral forms originated at an early evolutionary stage (Unicellular organisms, the root of the phylostratigraphic tree) and at the stage of Vertebrata divergence.
About the Authors
E. V. IgnatievaRussian Federation
Novosibirsk
P. S. Demenkov
Russian Federation
Novosibirsk
A. G. Bogomolov
Russian Federation
Novosibirsk
R. A. Ivanov
Russian Federation
Novosibirsk
S. A. Lashin
Russian Federation
Novosibirsk
A. D. Mikhailova
Russian Federation
Novosibirsk
A. E. Alekseeva
Russian Federation
Novosibirsk
N. S. Yudin
Russian Federation
Novosibirsk
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