Jan 22, 2015

Revisiting Demand Rules for Gene Regulation

BioRxiv : the Preprint Server for Biology
Mahendra K. PrajapatSupreet Saini


Starting with Savageau’s pioneering work from 1970s, here, we choose the simplest transcription network and ask: How does the cell choose a regulatory topology from the different available possibilities? We study the natural distribution of topologies at genome, systems, and micro-level in E. coli and perform stochastic simulations to help explain the differences in natural distributions. Analyzing regulation of amino acid biosynthesis and carbon utilization in E. coli and B. subtilis , we observe many deviations from the demand rules, and observe an alternate pattern emerging. Overall, our results indicate that choice of topology is drawn randomly from a pool of all networks which satisfy the kinetic requirements of the cell, as dictated by physiology. In short, simply, the cell picks “whatever works”.

  • References
  • Citations


  • We're still populating references for this paper, please check back later.
  • References
  • Citations


  • This paper may not have been cited yet.

Mentioned in this Paper

Regulation of Biological Process
Amino Acid Biosynthesis
Bazzania subtilis
Bacillus subtilis
Protein S
Gene Regulatory Networks
Demand (Clinical)

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Related Papers

Molecular BioSystems
Mahendra K. PrajapatSupreet Saini
Journal of the New Jersey Dental Association
Arthur Meisel
Boletín de la Oficina Sanitaria Panamericana
ED Management : the Monthly Update on Emergency Department Management
© 2020 Meta ULC. All rights reserved