The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Strand-Specific RNA–Seq Analysis of the Transcriptome of the Typhoid Bacillus Salmonella Typhi
Open accessAbstract
High-density, strand-specific cDNA sequencing (ssRNA-seq) was used to analyze the transcriptome of Salmonella enterica serovar Typhi (S. Typhi). By mapping sequence data to the entire S. Typhi genome, we analyzed the transcriptome in a strand-specific manner and further defined transcribed regions encoded within prophages, pseudogenes, previously un-annotated, and 3'- or 5'-untranslated regions (UTR). An additional 40 novel candidate non-coding RNAs were identified beyond those previously annotated. Proteomic analysis was combined with transcriptome data to confirm and refine the annotation of a number of hpothetical genes. ssRNA-seq was also combined with microarray and proteome analysis to further define the S. Typhi OmpR regulon and identify novel OmpR regulated transcripts. Thus, ssRNA-seq provides a novel and powerful approach to the characterization of the bacterial transcriptome.
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
Regulation of ferric iron transport in Escherichia coli K12: Isolation of a constitutive mutant
Hantke, K. (1981) · Molecular and General Genetics MGG · doi:10.1007/bf00269672 · Cited by 563
McClelland, M., Sanderson, K. E., Clifton, S. W., Latreille, P., Porwollik, S., Sabo, A., Meyer, R., Bieri, T., Ozersky, P., McLellan, M., et al. (2004) · Nature Genetics · doi:10.1038/ng1470 · Cited by 391
Rivas, E., & Eddy, S. R. (2000) · Bioinformatics · doi:10.1093/bioinformatics/16.7.583 · Cited by 279
Zhou, D., Hardt, W.-D., & Galán, J. E. (1999) · Infection and Immunity · doi:10.1128/iai.67.4.1974-1981.1999 · Cited by 182
Cited by
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Law, C. W., Chen, Y., Shi, W., & Smyth, G. K. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r29 · Cited by 6,155
Next-generation transcriptome assembly
Martin, J. A., & Wang, Z. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3068 · Cited by 1,253
How to fail at species delimitation
Carstens, B. C., Pelletier, T. A., Reid, N. M., & Satler, J. D. (2013) · Molecular Ecology · doi:10.1111/mec.12413 · Cited by 1,248
Hydrogen peroxide sensing, signaling and regulation of transcription factors
Marinho, H. S., Real, C., Cyrne, L., Soares, H., & Antunes, F. (2014) · Redox Biology · doi:10.1016/j.redox.2014.02.006 · Cited by 850
Computational analysis of bacterial RNA-Seq data
McClure, R., Balasubramanian, D., Sun, Y., Bobrovskyy, M., Sumby, P., Genco, C. A., Vanderpool, C. K., & Tjaden, B. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt444 · Cited by 591
Metadata
- Authors
- Perkins, T. T., Kingsley, R. A., Fookes, M. C., Gardner, P. P., James, K. D., Yu, L., Assefa, S. A., He, M., Croucher, N. J., Pickard, D. J., Maskell, D. J., Parkhill, J., Choudhary, J., Thomson, N. R., & Dougan, G.
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-07-17
- Volume
- 5
- Issue
- 7
- Pages
- e1000569
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- OpenAlex
- W1979622547
- Cited by
- 243
- References
- 4
- FWCI
- 17.47
- 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: A Strand-Specific RNA–Seq Analysis of the Transcriptome of the Typhoid Bacillus Salmonella Typhi. https://app.cochat.ai/papers/10.1371/journal.pgen.1000569
- The paper
- Perkins, T. T., Kingsley, R. A., Fookes, M. C., Gardner, P. P., James, K. D., Yu, L., Assefa, S. A., He, M., Croucher, N. J., Pickard, D. J., Maskell, D. J., Parkhill, J., Choudhary, J., Thomson, N. R., & Dougan, G. (2009). A Strand-Specific RNA–Seq Analysis of the Transcriptome of the Typhoid Bacillus Salmonella Typhi. PLoS Genetics. https://doi.org/10.1371/journal.pgen.1000569
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.