The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution
Open accessAbstract
Cell-to-cell communication in bacteria is a process known as quorum sensing that relies on the production, detection, and response to the extracellular accumulation of signaling molecules called autoinducers. Often, bacteria use multiple autoinducers to obtain information about the vicinal cell density. However, how cells integrate and interpret the information contained within multiple autoinducers remains a mystery. Using single-cell fluorescence microscopy, we quantified the signaling responses to and analyzed the integration of multiple autoinducers by the model quorum-sensing bacterium Vibrio harveyi. Our results revealed that signals from two distinct autoinducers, AI-1 and AI-2, are combined strictly additively in a shared phosphorelay pathway, with each autoinducer contributing nearly equally to the total response. We found a coherent response across the population with little cell-to-cell variation, indicating that the entire population of cells can reliably distinguish several distinct conditions of external autoinducer concentration. We speculate that the use of multiple autoinducers allows a growing population of cells to synchronize gene expression during a series of distinct developmental stages.
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
Stochastic Gene Expression in a Single Cell
Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002) · Science · doi:10.1126/science.1070919 · Cited by 5,441
Multistability in the lactose utilization network of Escherichia coli
Ozbudak, E. M., Thattai, M., Lim, H. N., Shraiman, B. I., & van Oudenaarden, A. (2004) · Nature · doi:10.1038/nature02298 · Cited by 1,030
Probing Gene Expression in Live Cells, One Protein Molecule at a Time
Yu, J., Xiao, J., Ren, X., Lao, K., & Xie, X. S. (2006) · Science · doi:10.1126/science.1119623 · Cited by 918
ENZYME INDUCTION AS AN ALL-OR-NONE PHENOMENON
Novick, A., & Weiner, M. (1957) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.43.7.553 · Cited by 891
Cited by
Quorum sensing signal-response systems in Gram-negative bacteria
Papenfort, K., & Bassler, B. L. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.89 · Cited by 2,256
Self-citationAphA and LuxR/HapR reciprocally control quorum sensing in vibrios
Rutherford, S. T., van Kessel, J. C., Shao, Y., & Bassler, B. L. (2011) · Genes & Development · doi:10.1101/gad.2015011 · Cited by 293
Self-citationMemory and modularity in cell-fate decision making
Norman, T. M., Lord, N. D., Paulsson, J., & Losick, R. (2013) · Nature · doi:10.1038/nature12804 · Cited by 264
Modeling evolution of crosstalk in noisy signal transduction networks
Tareen, A., Wingreen, N. S., & Mukhopadhyay, R. (2018) · Physical Review E · doi:10.1103/physreve.97.020402 · Cited by 11
Self-citation
Metadata
- Authors
- Long, T., Tu, K. C., Wang, Y., Mehta, P., Ong, N. P., Bassler, B. L., & Wingreen, N. S.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-03-24
- Volume
- 7
- Issue
- 3
- Pages
- e1000068
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2124152757
- Cited by
- 164
- References
- 4
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- gold
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: Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution. https://app.cochat.ai/papers/10.1371/journal.pbio.1000068
- The paper
- Long, T., Tu, K. C., Wang, Y., Mehta, P., Ong, N. P., Bassler, B. L., & Wingreen, N. S. (2009). Quantifying the Integration of Quorum-Sensing Signals with Single-Cell Resolution. PLoS Biology. https://doi.org/10.1371/journal.pbio.1000068
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.