{"title":"Delay Differential Equation Model of Gene Expression","authors":"Amit Sharma, N. Adlakha","doi":"10.25728/ASSA.2020.20.3.869","DOIUrl":null,"url":null,"abstract":"In this study, a delay differential equation model of gene expression for both retroviruses and normal cell is proposed to study the dynamics of functional gene products. The model is categorised into two sub-models to understand the characteristics of a cell by incorporating time delays in the processes of gene expression. The first model which is for retroviruses, involves time delay in replication, transcription, reverse transcription and translation processes taking place in the cell, while in the second model which is for normal cell, the time delay in transcription and translation processes are incorporated. A numerical solution is obtained using semi-temporal data set. The impact of time delays on temporal concentration profile of DNA, mRNA and proteins have been analysed which gives better insight into the normal cell as well as retroviruses. Further, sensitivity analysis has been performed for both models to study the behaviour of gene expression in the cell. The results obtained from such models can be useful for biomedical applications.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"20 1","pages":"73-90"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Systems Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25728/ASSA.2020.20.3.869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, a delay differential equation model of gene expression for both retroviruses and normal cell is proposed to study the dynamics of functional gene products. The model is categorised into two sub-models to understand the characteristics of a cell by incorporating time delays in the processes of gene expression. The first model which is for retroviruses, involves time delay in replication, transcription, reverse transcription and translation processes taking place in the cell, while in the second model which is for normal cell, the time delay in transcription and translation processes are incorporated. A numerical solution is obtained using semi-temporal data set. The impact of time delays on temporal concentration profile of DNA, mRNA and proteins have been analysed which gives better insight into the normal cell as well as retroviruses. Further, sensitivity analysis has been performed for both models to study the behaviour of gene expression in the cell. The results obtained from such models can be useful for biomedical applications.
期刊介绍:
Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.