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Can I read Controllability Analysis of a Gene Network for Arabidopsis thaliana Reveals Characteristics of Functional Gene Families on EtoBox?
Controllability Analysis of a Gene Network for Arabidopsis thaliana Reveals Characteristics of Functional Gene Families by Pei Wang; Daojie Wang; Jinhu Lu is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Controllability Analysis of a Gene Network for Arabidopsis thaliana Reveals Characteristics of Functional Gene Families about?
Based on structural controllability of complex networks and a constructed gene network with 9,241 nodes for Arabidopsis thaliana, we classified nodes into five categories via their roles in control or node deletion, including indispensable, neutral, dispensable, driver, and critical driver nodes. The indispensable nodes can increase the number of drivers after deletion, which are never drivers or critical drivers. About 10 percent of nodes are indispensable. However, more than 60 percent of nodes are neutral ones. More than 62 percent of nodes are drivers, which indicates the gene network is very difficult to be fully controlled. Gene Ontology (GO) enrichment analysis reveals that different sets of nodes have preferred biological functions and processes.The indispensable nodes are significantly enriched as essential genes, drought responsive and abscisic acid (ABA) independent genes, transcriptional factors (TFs), core cell cycle genes, and ABA and Gibberellin (GA) related genes. The critical drivers are enriched as receptor kinaselike genes, while shorted in WRKY TFs and functional genes that are enriched in the indispensable nodes. Robustness analysis based on node and edge addit
Who reads Controllability Analysis of a Gene Network for Arabidopsis thaliana Reveals Characteristics of Functional Gene Families?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Pei Wang; Daojie Wang; Jinhu Lu
- Publisher
- IEEE; Institute of Electrical and Electronics Engineers; IEEE Computer Society; Institute of Electrical and Electronics Engineers (IEEE) (ISSN 1545-5963)
- Published
- 2019
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)