The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Feedback Control of Two-Component Regulatory Systems
Open accessAbstract
Two-component systems are a dominant form of bacterial signal transduction. The prototypical two-component system consists of a sensor that responds to a specific input(s) by modifying the output of a cognate regulator. Because the output of a two-component system is the amount of phosphorylated regulator, feedback mechanisms may alter the amount of regulator, and/or modify the ability of a sensor or other proteins to alter the phosphorylation state of the regulator. Two-component systems may display intrinsic feedback whereby the amount of phosphorylated regulator changes under constant inducing conditions and without the participation of additional proteins. Feedback control allows a two-component system to achieve particular steady-state levels, to reach a given steady state with distinct dynamics, to express coregulated genes in a given order, and to activate a regulator to different extents, depending on the signal acting on the sensor.
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Cites
Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli
Bennett, B. D., Kimball, E. H., Gao, M., Osterhout, R., Van Dien, S. J., & Rabinowitz, J. D. (2009) · Nature Chemical Biology · doi:10.1038/nchembio.186 · Cited by 1,830
A Genomic View of the Human- Bacteroides thetaiotaomicron Symbiosis
Xu, J., Bjursell, M. K., Himrod, J., Deng, S., Carmichael, L. K., Chiang, H. C., Hooper, L. V., & Gordon, J. I. (2003) · Science · doi:10.1126/science.1080029 · Cited by 1,353
The Pleiotropic Two-Component Regulatory System PhoP-PhoQ
Groisman, E. A. (2001) · Journal of Bacteriology · doi:10.1128/jb.183.6.1835-1842.2001 · Cited by 887
Self-citationDetermining Divergence Times of the Major Kingdoms of Living Organisms with a Protein Clock
Doolittle, R. F., Feng, D.-F., Tsang, S., Cho, G., & Little, E. (1996) · Science · doi:10.1126/science.271.5248.470 · Cited by 581
Persistence: mechanisms for triggering and enhancing phenotypic variability
Balaban, N. (2011) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2011.10.001 · Cited by 156
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Cheng, J., Hu, J., Geng, F., & Nie, S. (2022) · Food Science and Human Wellness · doi:10.1016/j.fshw.2022.04.002 · Cited by 268
Queuosine biosynthetic enzyme, QueE moonlights as a cell division regulator
Adeleye, S. A., & Yadavalli, S. S. (2024) · PLOS Genetics · doi:10.1371/journal.pgen.1011287 · Cited by 10
Huang, Y., Meng, K., Liu, G., Chen, Z., Han, Y., Yang, P., Zhang, R., & Cai, H. (2025) · Biology · doi:10.3390/biology14091167 · Cited by 7
Bile resistance mechanisms in probiotics: From structural adaptation to metabolic regulation
Hu, J.-W., Guo, S.-J., Zhang, L.-W., & Guo, C.-F. (2026) · Food Bioscience · doi:10.1016/j.fbio.2026.108282 · Cited by 5
Metadata
- Authors
- Groisman, E. A.
- Venue
- Annual Review of Microbiology
- Publisher
- Annual Reviews
- Published
- 2016-09-08
- Volume
- 70
- Issue
- 1
- Pages
- 103-124
- ISSN
- 0066-4227 (ISSN-L)
- 1545-3251
- OpenAlex
- W2508353644
- Cited by
- 252
- References
- 5
- FWCI
- 1.85
- Type
- journal article
- Language
- en
- Open access
- green
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