## Abstract Developmental processes in complex animals are directed by a hardwired genomic regulatory code, the ultimate function of which is to set up a progression of transcriptional regulatory states in space and time. The code specifies the gene regulatory networks (GRNs) that underlie all majo
Motifs in gene transcription regulatory networks
β Scribed by Indrani Bose; Bhaswar Ghosh; Rajesh Karmakar
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 207 KB
- Volume
- 346
- Category
- Article
- ISSN
- 0378-4371
No coin nor oath required. For personal study only.
β¦ Synopsis
A brief overview is given of the structure and evolution of gene transcription regulatory networks (GTRNs) of simple organisms like Escherichia coli and yeast Saccharomyces cerevisiae. A prominent motif appearing in the GTRNs is the feed forward loop (FFL). The FFLs have essential functions in gene regulatory processes and it is desirable that the operational noise of a FFL be kept at the minimum for reliability of signal transmission. We calculate the variances around the mean protein levels in the steady states of Type-1 and Type-4 coherent FFLs using a stochastic model of gene expression and the Langevin formalism. The Type-1 FFL is found to be less noisy than the Type-4 FFL. Type-1 FFL motif is more abundant than Type-4 FFL motif in GTRNs. This leads to the conjecture that noise is one of the evolvable traits on which natural selection acts.
π SIMILAR VOLUMES
## Abstract Stem cell behavior is orchestrated as a multilayered, concert of gene regulatory mechanisms collectively referred to as the gene regulatory network (GRN). Via cooperative mechanisms, transcriptional, epigenetic, and postβtranscriptional regulators activate and repress gene expression to
## Abstract Gene regulatory networks are dynamic and stochastic in nature, and exhibit exquisite feedback and feedforward control loops that regulate their biological function at different levels. Modelling of such networks poses new challenges due, in part, to the small number of molecules involve