The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
New Technologies for Studying Biofilms
Open accessAbstract
Bacteria have traditionally been studied as single-cell organisms. In laboratory settings, aerobic bacteria are usually cultured in aerated flasks, where the cells are considered essentially homogenous. However, in many natural environments, bacteria and other microorganisms grow in mixed communities, often associated with surfaces. Biofilms are comprised of surface-associated microorganisms, their extracellular matrix material, and environmental chemicals that have adsorbed to the bacteria or their matrix material. While this definition of a biofilm is fairly simple, biofilms are complex and dynamic. Our understanding of the activities of individual biofilm cells and whole biofilm systems has developed rapidly, due in part to advances in molecular, analytical, and imaging tools and the miniaturization of tools designed to characterize biofilms at the enzyme level, cellular level, and systems level.
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Cites
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288
RNA-Seq: a revolutionary tool for transcriptomics
Wang, Z., Gerstein, M., & Snyder, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2484 · Cited by 13,174
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
Sequencing technologies – the next generation
Metzker, M. L. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2626 · Cited by 7,066
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
Bacterial Persistence as a Phenotypic Switch
Balaban, N. Q., Merrin, J., Chait, R., Kowalik, L., & Leibler, S. (2004) · Science · doi:10.1126/science.1099390 · Cited by 2,952
Persister cells, dormancy and infectious disease
Lewis, K. (2007) · Nature Reviews Microbiology · doi:10.1038/nrmicro1557 · Cited by 2,052
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 · cited 1×
“For example, Sauer et al. (182) used 2D DIGE to characterize the changes in proteome patterns of P. aeruginosa over time, demonstrating that bio fi lm formation of this organism is a developmental process.”
MethodDirect detection of DNA methylation during single-molecule, real-time sequencing
Flusberg, B. A., Webster, D. R., Lee, J. H., Travers, K. J., Olivares, E. C., Clark, T. A., Korlach, J., & Turner, S. W. (2010) · Nature Methods · doi:10.1038/nmeth.1459 · Cited by 1,460
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
Cited by
Role of gut microbiota and nutrients in amyloid formation and pathogenesis of Alzheimer disease
Pistollato, F., Sumalla Cano, S., Elio, I., Masias Vergara, M., Giampieri, F., & Battino, M. (2016) · Nutrition Reviews · doi:10.1093/nutrit/nuw023 · Cited by 496
Imaging biofilms using fluorescence in situ hybridization: seeing is believing
Barbosa, A., Miranda, S., Azevedo, N. F., Cerqueira, L., & Azevedo, A. S. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1195803 · Cited by 63
Chen, C., Hu, X., He, D., He, X., & Shen, L. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.70854 · Cited by 6
Metadata
- Authors
- Franklin, M. J., Chang, C., Akiyama, T., & Bothner, B.
- Venue
- Microbiology Spectrum
- Publisher
- American Society for Microbiology
- Published
- 2015-07-02
- Volume
- 3
- Issue
- 4
- ISSN
- 2165-0497 (ISSN-L)
- OpenAlex
- W2096815681
- Cited by
- 233
- References
- 14
- FWCI
- 8.11
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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