The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Regulation of Gene Expression by Cell-to-Cell Communication: Acyl-Homoserine Lactone Quorum Sensing
Abstract
▪ Abstract Quorum sensing is an example of community behavior prevalent among diverse bacterial species. The term “quorum sensing” describes the ability of a microorganism to perceive and respond to microbial population density, usually relying on the production and subsequent response to diffusible signal molecules. A significant number of gram-negative bacteria produce acylated homoserine lactones (acyl-HSLs) as signal molecules that function in quorum sensing. Bacteria that produce acyl-HSLs can respond to the local concentration of the signaling molecules, and high population densities foster the accumulation of inducing levels of acyl-HSLs. Depending upon the bacterial species, the physiological processes regulated by quorum sensing are extremely diverse, ranging from bioluminescence to swarming motility. Acyl-HSL quorum sensing has become a paradigm for intercellular signaling mechanisms. A flurry of research over the past decade has led to significant understanding of many aspects of quorum sensing including the synthesis of acyl-HSLs, the receptors that recognize the acyl-HSL signal and transduce this information to the level of gene expression, and the interaction of these receptors with the transcriptional machinery. Recent studies have begun to integrate acyl-HSL quorum sensing into global regulatory networks and establish its role in developing and maintaining the structure of bacterial communities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Self-citationThe 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
Self-citationCellular Control of the Synthesis and Activity of the Bacterial Luminescent System
Nealson, K. H., Platt, T., & Hastings, J. W. (1970) · Journal of Bacteriology · doi:10.1128/jb.104.1.313-322.1970 · Cited by 1,301
Cited by
The Danger Model: A Renewed Sense of Self
Matzinger, P. (2002) · Science · doi:10.1126/science.1071059 · Cited by 4,205
The Systems View of Life: A Unifying Vision
Capra, F., & Luisi, P. L. (2014) · doi:10.1017/cbo9780511895555 · Cited by 1,347
The role of bacterial biofilms in chronic infections
Bjarnsholt, T. (2013) · APMIS · doi:10.1111/apm.12099 · Cited by 1,080
The clinical impact of bacterial biofilms
Høiby, N., Ciofu, O., Johansen, H. K., Song, Z., Moser, C., Jensen, P. Ø., Molin, S., Givskov, M., Tolker‐Nielsen, T., & Bjarnsholt, T. (2011) · International Journal of Oral Science · doi:10.4248/ijos11026 · Cited by 894
The role of pyocyanin in Pseudomonas aeruginosa infection
Lau, G. W., Hassett, D. J., Ran, H., & Kong, F. (2004) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2004.10.002 · Cited by 688
Metadata
- Authors
- Fuqua, C., Parsek, M. R., & Greenberg, E. P.
- Venue
- Annual Review of Genetics
- Publisher
- Annual Reviews
- Published
- 2001-12
- Volume
- 35
- Issue
- 1
- Pages
- 439-468
- ISSN
- 0066-4197 (ISSN-L)
- 1545-2948
- OpenAlex
- W2138776000
- Cited by
- 1,388
- References
- 3
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Regulation of Gene Expression by Cell-to-Cell Communication: Acyl-Homoserine Lactone Quorum Sensing. https://app.cochat.ai/papers/10.1146/annurev.genet.35.102401.090913
- The paper
- Fuqua, C., Parsek, M. R., & Greenberg, E. P. (2001). Regulation of Gene Expression by Cell-to-Cell Communication: Acyl-Homoserine Lactone Quorum Sensing. Annual Review of Genetics. https://doi.org/10.1146/annurev.genet.35.102401.090913
Data sources
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.