The DOI matches its Crossref record.
An integrated genomic regulatory network of virulence-related transcriptional factors in Pseudomonas aeruginosa
Open accessAbstract
The virulence of Pseudomonas aeruginosa, a Gram-negative opportunistic pathogen, is regulated by many transcriptional factors (TFs) that control the expression of quorum sensing and protein secretion systems. Here, we report a genome-wide, network-based approach to dissect the crosstalk between 20 key virulence-related TFs. Using chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq), as well as RNA-seq, we identify 1200 TF-bound genes and 4775 differentially expressed genes. We experimentally validate 347 of these genes as functional target genes, and describe the regulatory relationships of the 20 TFs with their targets in a network that we call ‘Pseudomonas aeruginosa genomic regulatory network’ (PAGnet). Analysis of the network led to the identification of novel functions for two TFs (ExsA and GacA) in quorum sensing and nitrogen metabolism. Furthermore, we present an online platform and R package based on PAGnet to facilitate updating and user-customised analyses.
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
Cited by
Qin, S., Xiao, W., Zhou, C., Pu, Q., Deng, X., Lan, L., Liang, H., Song, X., & Wu, M. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01056-1 · Cited by 1,703
Self-citationLim, H. G., Rychel, K., Sastry, A. V., Bentley, G. J., Mueller, J., Schindel, H. S., Larsen, P. E., Laible, P. D., Guss, A. M., Niu, W., et al. (2022) · Metabolic Engineering · doi:10.1016/j.ymben.2022.04.004 · Cited by 80
Eng, T., Banerjee, D., Lau, A. K., Bowden, E., Herbert, R. A., Trinh, J., Prahl, J.-P., Deutschbauer, A., Tanjore, D., & Mukhopadhyay, A. (2021) · Metabolic Engineering · doi:10.1016/j.ymben.2021.04.015 · Cited by 50
Metadata
- Authors
- Huang, H., Shao, X., Xie, Y., Wang, T., Zhang, Y., Wang, X., & Deng, X.
- Venue
- Nature Communications
- Published
- 2019-07-03
- Volume
- 10
- Issue
- 1
- Pages
- 2931-2931
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2953540547
- Cited by
- 161
- References
- 0
- FWCI
- 6.37
- 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: An integrated genomic regulatory network of virulence-related transcriptional factors in Pseudomonas aeruginosa. https://app.cochat.ai/papers/10.1038/s41467-019-10778-w
- The paper
- Huang, H., Shao, X., Xie, Y., Wang, T., Zhang, Y., Wang, X., & Deng, X. (2019). An integrated genomic regulatory network of virulence-related transcriptional factors in Pseudomonas aeruginosa. Nature Communications. https://doi.org/10.1038/s41467-019-10778-w
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.