Exploring gene regulation and biological processes in insects: Insights from omics data using gene regulatory network models

Gene regulatory network (GRN) comprises complicated yet intertwined gene-regulator relationships. Understanding the GRN dynamics will unravel the complexity behind the observed gene expressions. Insect gene regulation is often complicated due to their complex life cycles and diverse ecological adapt...

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Bibliographic Details
Published in:	Progress in biophysics and molecular biology Vol. 189; pp. 1 - 12
Main Authors:	Chee, Fong Ting, Harun, Sarahani, Mohd Daud, Kauthar, Sulaiman, Suhaila, Nor Muhammad, Nor Azlan
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 01-07-2024
Subjects:	Gene regulatory network Insect science Network modelling Omics data analysis Systems biology Gene regulatory network Insect science Network modelling Omics data analysis Systems biology
Online Access:	Get full text
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Summary:	Gene regulatory network (GRN) comprises complicated yet intertwined gene-regulator relationships. Understanding the GRN dynamics will unravel the complexity behind the observed gene expressions. Insect gene regulation is often complicated due to their complex life cycles and diverse ecological adaptations. The main interest of this review is to have an update on the current mathematical modelling methods of GRNs to explain insect science. Several popular GRN architecture models are discussed, together with examples of applications in insect science. In the last part of this review, each model is compared from different aspects, including network scalability, computation complexity, robustness to noise and biological relevancy. [Display omitted]
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1
ISSN:	0079-6107 1873-1732
DOI:	10.1016/j.pbiomolbio.2024.04.002