The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Pseudomonas aeruginosa transcriptome during human infection
Open accessAbstract
Significance: Microbiologists typically use laboratory systems to study the bacteria that infect humans. Over time, this has created a gap between what researchers understand about bacteria growing in the laboratory and those growing in humans. It is well-known that the behavior of bacteria is shaped by their environment, but how this behavior differs in laboratory models compared with human infections is poorly understood. We compared transcription data from a variety of human infections with data from a range of in vitro samples. We found important differences in expression of genes involved in antibiotic resistance, cell–cell communication, and metabolism. Understanding the bacterial expression patterns in human patients is a necessary step toward improved therapy and the development of more accurate laboratory models.
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
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Mueller, L. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1164 · Cited by 3,395
Essential genome of Pseudomonas aeruginosa in cystic fibrosis sputum
Turner, K. H., Wessel, A. K., Palmer, G. C., Murray, J. L., & Whiteley, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419677112 · Cited by 432
Self-citationMetatranscriptomics of the Human Oral Microbiome during Health and Disease
Jorth, P., Turner, K. H., Gumus, P., Nizam, N., Buduneli, N., & Whiteley, M. (2014) · mBio · doi:10.1128/mbio.01012-14 · Cited by 386
Self-citation
Cited by
Bacterial quorum sensing in complex and dynamically changing environments
Mukherjee, S., & Bassler, B. L. (2019) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0186-5 · Cited by 1,374
Diversity within Species: Interpreting Strains in Microbiomes
Van Rossum, T., Ferretti, P., Maistrenko, O. M., & Bork, P. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-020-0368-1 · Cited by 441
Genome-Based Prediction of Bacterial Antibiotic Resistance
Su, M., Satola, S. W., & Read, T. D. (2019) · Journal of Clinical Microbiology · doi:10.1128/jcm.01405-18 · Cited by 369
Zygiel, E. M., Obisesan, A. O., Nelson, C. E., Oglesby, A. G., & Nolan, E. M. (2021) · Journal of Biological Chemistry · doi:10.1074/jbc.ra120.015975 · Cited by 36
(2024) · doi:10.1128/mbio.02395-24 · Cited by 12
Metadata
- Authors
- Cornforth, D. M., Dees, J. L., Ibberson, C. B., Huse, H. K., Mathiesen, I. H., Kirketerp-Møller, K., Wolcott, R. D., Rumbaugh, K. P., Bjarnsholt, T., & Whiteley, M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2018-05-14
- Volume
- 115
- Issue
- 22
- Pages
- E5125-E5134
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2804143592
- Cited by
- 276
- References
- 4
- FWCI
- 9.73
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Pseudomonas aeruginosa transcriptome during human infection. https://app.cochat.ai/papers/10.1073/pnas.1717525115
- The paper
- Cornforth, D. M., Dees, J. L., Ibberson, C. B., Huse, H. K., Mathiesen, I. H., Kirketerp-Møller, K., Wolcott, R. D., Rumbaugh, K. P., Bjarnsholt, T., & Whiteley, M. (2018). Pseudomonas aeruginosa transcriptome during human infection. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1717525115
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.
