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Cited by 434

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Molecular Basis of In Vivo Biofilm Formation by Bacterial Pathogens

Open access
Joo, Hwang-Soo, Otto, Michael·2012·Chemistry & Biology

Abstract

Summary Bacterial biofilms are involved in a multitude of serious chronic infections. In recent years, modeling biofilm infection in vitro led to the identification of microbial determinants governing biofilm development. However, we lack information as to whether biofilm formation mechanisms identified in vitro have relevance for biofilm-associated infection. Here, we discuss the molecular basis of biofilm formation using staphylococci and Pseudomonas aeruginosa to illustrate key points, as their biofilm development process is well-studied. We will focus on in-vivo findings such as obtained in animal infection models, and critically evaluate in-vivo relevance of in-vitro findings. Although results on the role of quorum-sensing in biofilm formation have been conflicting, we now argue that integration of in-vitro and in-vivo studies allows a differentiated view of this mechanism as it relates to biofilm infection.

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Crossref · 10.1016/j.chembiol.2012.10.022

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Metadata

Authors
Joo, H.-S., & Otto, M.
Venue
Chemistry & Biology
Publisher
Elsevier BV
Published
2012-12
Volume
19
Issue
12
Pages
1503-1513
ISSN
1074-5521 (ISSN-L)
OpenAlex
W1992774222
Cited by
434
References
10
FWCI
6.85
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Molecular Basis of In Vivo Biofilm Formation by Bacterial Pathogens. https://app.cochat.ai/papers/10.1016/j.chembiol.2012.10.022
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Joo, H.-S., & Otto, M. (2012). Molecular Basis of In Vivo Biofilm Formation by Bacterial Pathogens. Chemistry & Biology. https://doi.org/10.1016/j.chembiol.2012.10.022

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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.