The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Genomewide Analysis of Gene Expression in Staphylococcus epidermidis Biofilms: Insights into the Pathophysiology of S. epidermidis Biofilms and the Role of Phenol‐Soluble Modulins in Formation of Biofilms
Abstract
Many bacterial pathogens form cellular agglomerations known as biofilms, which considerably limit the success of both antibiotic treatment and the human immune defense. To gain insight into the pathophysiology of the leading nosocomial pathogen, Staphylococcus epidermidis, we analyzed the genome of biofilm-forming S. epidermidis, constructed a microarray representing its entire transcriptome, and performed expression profiling of an S. epidermidis biofilm. Gene-regulated processes in the biofilm led to a nonaggressive and protected form of bacterial growth with low metabolic activity, which is optimally suited to guarantee long-term survival during chronic infection. A class of peptides known as phenol-soluble modulins, which combine proinflammatory activity with a putative role in detachment of biofilms, evolved as potential key determinants controlling the switch between aggressive and quiescent modes of infection. Our data suggest that S. epidermidis adjusts its lifestyle to varying requirements during colonization and infection by means of an expansive change of gene expression. The observed physiological characteristics of the biofilm mode of growth--in particular, the contribution of surfactant-like peptides--might serve as a model for a variety of biofilm-forming pathogens.
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Cites
Bacterial Biofilms: A Common Cause of Persistent Infections
Costerton, J. W., Stewart, P. S., & Greenberg, E. P. (1999) · Science · doi:10.1126/science.284.5418.1318 · Cited by 12,167
The Involvement of Cell-to-Cell Signals in the Development of a Bacterial Biofilm
Davies, D. G., Parsek, M. R., Pearson, J. P., Iglewski, B. H., Costerton, J. W., & Greenberg, E. P. (1998) · Science · doi:10.1126/science.280.5361.295 · Cited by 3,396
Pseudomonas aeruginosa Displays Multiple Phenotypes during Development as a Biofilm
Sauer, K., Camper, A. K., Ehrlich, G. D., Costerton, J. W., & Davies, D. G. (2002) · Journal of Bacteriology · doi:10.1128/jb.184.4.1140-1154.2002 · Cited by 1,691
Fruiting body formation by Bacillus subtilis
Branda, S. S., González-Pastor, J. E., Ben-Yehuda, S., Losick, R., & Kolter, R. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191384198 · Cited by 1,129
Heilmann, C., Hussain, M., Peters, G., & Götz, F. (1997) · Molecular Microbiology · doi:10.1046/j.1365-2958.1997.4101774.x · Cited by 700
Cited by
Coagulase-Negative Staphylococci
Becker, K., Heilmann, C., & Peters, G. (2014) · Clinical Microbiology Reviews · doi:10.1128/cmr.00109-13 · Cited by 1,628
Signals, Regulatory Networks, and Materials That Build and Break Bacterial Biofilms
Karatan, E., & Watnick, P. (2009) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00041-08 · Cited by 1,048
Biofilm Dispersal: Mechanisms, Clinical Implications, and Potential Therapeutic Uses
Kaplan, J. B. (2010) · Journal of Dental Research · doi:10.1177/0022034509359403 · Cited by 949
Staphylococcus quorum sensing in biofilm formation and infection
Kong, K.-F., Vuong, C., & Otto, M. (2006) · International Journal of Medical Microbiology · doi:10.1016/j.ijmm.2006.01.042 · Cited by 388
Self-citationAre coagulase-negative staphylococci virulent?
Heilmann, C., Ziebuhr, W., & Becker, K. (2019) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2018.11.012 · Cited by 298
Metadata
- Authors
- Yao, Y., Sturdevant, D. E., & Otto, M.
- Venue
- The Journal of Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-01-15
- Volume
- 191
- Issue
- 2
- Pages
- 289-298
- ISSN
- 0022-1899 (ISSN-L)
- 1537-6613
- OpenAlex
- W2104617674
- Cited by
- 268
- References
- 5
- FWCI
- 4.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yao, Y., Sturdevant, D. E., & Otto, M. (2005). Genomewide Analysis of Gene Expression in Staphylococcus epidermidis Biofilms: Insights into the Pathophysiology of S. epidermidis Biofilms and the Role of Phenol‐Soluble Modulins in Formation of Biofilms. The Journal of Infectious Diseases. https://doi.org/10.1086/426945
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