The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Domain Architectures of σ54-Dependent Transcriptional Activators
Open accessAbstract
Transcription is the key control point for regulation of numerous cellular activities. Bacteria regulate levels of gene expression by using transcription factors that modulate the recruitment of RNA polymerase (RNAP) to promoter elements in the DNA. Many bacteria also control gene expression by using a second class of transcription factor that uses energy from nucleotide hydrolysis to actively promote transcription initiation. The sigma (σ) subunit is required for promoter recognition and initiation of transcription by the bacterial RNAP. Typically a bacterial cell may contain several alternative σ subunits with differing sequence specificities that direct the RNAP holoenzyme to different sets of promoters. The σ54 subunit (also known as RpoN, NtrA, and σN) is unique (42) in that it shares no detectable homology with any of the other known sigma factors (e.g., σ70 and σ28). σ54-RNAP binds to specific promoter sites, with the consensus DNA sequence YTGGCACGrNNNTTGCW (6), to form a transcriptionally inactive closed complex consisting of holoenzyme bound to double-stranded DNA. In contrast to σ70-RNAP bound at its cognate promoter sites, σ54-RNAP is unable to spontaneously isomerize from a closed complex to a transcriptionally competent open complex (11, 72). To proceed with initiation of transcription, the closed complex must participate in an interaction with a transcriptional activator, involving nucleotide hydrolysis. This transcriptional activator is usually bound at least 100 bp upstream of the promoter site, and DNA looping is required for the activator to contact the closed complex and catalyze formation of the open promoter complex. In this respect the activator resembles the enhancer-binding proteins (EBPs) found in eukaryotic systems, and for this reason such activators are known as bacterial EBPs. From a protein structural point of view, EBPs share in common a σ54 interaction module (Pfam accession number PF00158) but typically have at least one additional domain (Fig. (Fig.1).1). In nearly all of those investigated so far, there is a DNA-binding domain containing a helix-turn-helix sequence motif, enabling the protein to bind to specific DNA enhancer elements upstream of σ54-dependent promoters (44, 47, 52, 56, 72). One exception to this scenario was recently reported (30), where Pseudomonas aeruginosa FleQ can activate transcription while bound in the downstream vicinity of the promoter. FIG. 1. Major domain architectures of bacterial EBPs. Examples of each of the known domain organizations found in bacterial EBPs are given. Sequences are identified by SwissProt/trEMBL accession numbers, except for XAC3643, TTE0180, and {type:entrez-protein,attrs:{text:CPE23358,term_id:896862659,term_text:CPE23358}} ... Although the physiological advantages conferred by the σ54-EBP mode of transcription are not yet clear, activation of σ54-dependent transcription is highly regulated by environmental cues through regulatory modules in the EBPs and in some cases by interactions with other regulatory proteins. Sensory modules in EBPs include CheY-like response regulator domains, PAS domains, GAF domains, PRD modules, and V4R domains, often represented within an N-terminal region (Fig. (Fig.1).1). These sequence features are described in more detail later in this article. Intriguingly, recent complete genome sequences have revealed some unusual EBPs containing regions of homology to other signal transduction domains and enzymes. With the large number of complete bacterial genomes now available, and with the importance of accurate annotation of future sequence data, we feel that it is timely to survey the variety of domain architectures found in these important proteins.
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
The complete genome sequence of the gastric pathogen Helicobacter pylori
Tomb, J.-F., White, O., Kerlavage, A. R., Clayton, R. A., Sutton, G. G., Fleischmann, R. D., Ketchum, K. A., Klenk, H. P., Gill, S., Dougherty, B. A., et al. (1997) · Nature · doi:10.1038/41483 · Cited by 3,529
Alm, R. A., Ling, L.-S. L., Moir, D. T., King, B. L., Brown, E. D., Doig, P. C., Smith, D. R., Noonan, B., Guild, B. C., deJonge, B. L., et al. (1999) · Nature · doi:10.1038/16495 · Cited by 1,893
Cited by
Genetic regulation of biological nitrogen fixation
Dixon, R., & Kahn, D. (2004) · Nature Reviews Microbiology · doi:10.1038/nrmicro954 · Cited by 1,230
Self-citationEvolution of sensory complexity recorded in a myxobacterial genome
Goldman, B. S., Nierman, W. C., Kaiser, D., Slater, S. C., Durkin, A. S., Eisen, J. A., Ronning, C. M., Barbazuk, W. B., Blanchard, M., Field, C., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607335103 · Cited by 450
Janssen, P. J., Van Houdt, R., Moors, H., Monsieurs, P., Morin, N., Michaux, A., Benotmane, M. A., Leys, N., Vallaeys, T., Lapidus, A., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010433 · Cited by 332
A non-haem iron centre in the transcription factor NorR senses nitric oxide
D'Autréaux, B., Tucker, N. P., Dixon, R., & Spiro, S. (2005) · Nature · doi:10.1038/nature03953 · Cited by 287
Self-citationListening to a New Language: DSF-Based Quorum Sensing in Gram-Negative Bacteria
Deng, Y., Wu, J., Tao, F., & Zhang, L.-H. (2011) · Chemical Reviews · doi:10.1021/cr100354f · Cited by 269
Metadata
- Authors
- Studholme, D. J., & Dixon, R.
- Venue
- Journal of Bacteriology
- Publisher
- American Society for Microbiology
- Published
- 2003-03-15
- Volume
- 185
- Issue
- 6
- Pages
- 1757-1767
- ISSN
- 0021-9193 (ISSN-L)
- 1098-5530
- OpenAlex
- W2060740333
- Cited by
- 292
- References
- 2
- FWCI
- 10.88
- Type
- journal article
- Language
- en
- Open access
- green
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: Domain Architectures of σ54-Dependent Transcriptional Activators. https://app.cochat.ai/papers/10.1128/jb.185.6.1757-1767.2003
- The paper
- Studholme, D. J., & Dixon, R. (2003). Domain Architectures of σ54-Dependent Transcriptional Activators. Journal of Bacteriology. https://doi.org/10.1128/jb.185.6.1757-1767.2003
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.