What Makes a Functional Gene Regulatory Network? A Circuit Motif Analysis.
Document Type
Article
Publication Date
12-15-2022
Publication Title
J Phys Chem B
Keywords
JMG, Gene Regulatory Networks, Systems Biology
JAX Location
J Phys Chem B. 2022;126(49):10374-83.
Volume
126
Issue
49
First Page
10374
Last Page
10383
ISSN
1520-5207
PMID
36471236
DOI
https://doi.org/10.1021/acs.jpcb.2c05412
Grant
This work was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award R35GM128717 and by startup funds from Northeast- ern University.
Abstract
One of the key questions in systems biology is to understand the roles of gene regulatory circuits in determining cellular states and their functions. In previous studies, some researchers have inferred large gene networks from genome wide genomics/transcriptomics data using the top-down approach, while others have modeled core gene circuits of small sizes using the bottom-up approach. Despite many existing systems biology studies, there is still no general rule on what sizes of gene networks and what types of circuit motifs a system would need to achieve robust biological functions. Here, we adopt a gene circuit motif analysis to discover four-node circuits responsible for multiplicity (rich in dynamical behavior), flexibility (versatile to alter gene expression), or both. We identify the most reoccurring two-node circuit motifs and the co-occurring motif pairs. Furthermore, we investigate the contributing factors of multiplicity and flexibility for large gene networks of different types and sizes. We find that gene networks of intermediate sizes tend to have combined high levels of multiplicity and flexibility. Our study will contribute to a better understanding of the dynamical mechanisms of gene regulatory circuits and provide insights into rational designs of robust gene circuits in synthetic and systems biology.
Recommended Citation
Huang L,
Clauss B,
Lu M.
What Makes a Functional Gene Regulatory Network? A Circuit Motif Analysis.