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Cited by 282

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Molecular Basis of Stationary Phase Survival and Applications

Open access
Jaishankar, Jananee, Srivastava, Preeti·2017·Frontiers in Microbiology

Abstract

Stationary phase is the stage when growth ceases but cells remain metabolically active. Several physical and molecular changes take place during this stage that makes them interesting to explore. The characteristic proteins synthesized in the stationary phase are indispensable as they confer viability to the bacteria. Detailed knowledge of these proteins and the genes synthesizing them is required to understand the survival in such nutrient deprived conditions. The promoters, which drive the expression of these genes, are called stationary phase promoters. These promoters exhibit increased activity in the stationary phase and less or no activity in the exponential phase. The vectors constructed based on these promoters are ideal for large-scale protein production due to the absence of any external inducers. A number of recombinant protein production systems have been developed using these promoters. This review describes the stationary phase survival of bacteria, the promoters involved, their importance, regulation, and applications.

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Metadata

Authors
Jaishankar, J., & Srivastava, P.
Venue
Frontiers in Microbiology
Published
2017-10-16
Volume
8
Pages
2000-2000
ISSN
1664-302X (ISSN-L)
OpenAlex
W2765466553
Cited by
282
References
62
FWCI
4.75
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Molecular Basis of Stationary Phase Survival and Applications. https://app.cochat.ai/papers/10.3389/fmicb.2017.02000
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Jaishankar, J., & Srivastava, P. (2017). Molecular Basis of Stationary Phase Survival and Applications. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2017.02000

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.