Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 159

The DOI matches its Crossref record.

Characterization of the Bacterial Sensor Protein PhoQ

Open access
Véscovi, Elenora García, Ayala, Youhna M., Di Cera, Enrico, Groisman, Eduardo A.·1997·Journal of Biological Chemistry

Abstract

The PhoP/PhoQ two-component regulatory system governs several virulence properties in the Gram-negative bacterium Salmonella typhimurium. The PhoQ protein is a Mg2+ and Ca2+ sensor that modulates transcription of PhoP-regulated genes in response to the extracellular concentrations of these divalent cations. We have purified a 146-amino acid polypeptide corresponding to the periplasmic (i.e. sensing) domain of the PhoQ protein. Mg2+ altered the tryptophan intrinsic fluorescence of this polypeptide whereas Ba2+, which is unable to modulate transcription of PhoP-regulated genes, did not. Mg2+ was more effective than Ca2+ at repressing transcription of PhoP-activated genes in vivo. However, maximal repression was achieved when both cations were present. An avirulent mutant harboring a single amino acid substitution in the sensing domain of PhoQ exhibited lower affinity for Ca2+ but similar affinity for Mg2+. Cumulatively, these experiments demonstrate that Mg2+ can bind to the sensing domain of PhoQ and establish the presence of distinct binding sites for Mg2+ and Ca2+ in the PhoQ protein.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1074/jbc.272.3.1440

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 159

Metadata

Authors
Véscovi, E. G., Ayala, Y. M., Di Cera, E., & Groisman, E. A.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
1997-01
Volume
272
Issue
3
Pages
1440-1443
ISSN
0021-9258 (ISSN-L)
OpenAlex
W2065977531
Cited by
159
References
0
FWCI
5.48
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: Characterization of the Bacterial Sensor Protein PhoQ. https://app.cochat.ai/papers/10.1074/jbc.272.3.1440
The paper
Véscovi, E. G., Ayala, Y. M., Di Cera, E., & Groisman, E. A. (1997). Characterization of the Bacterial Sensor Protein PhoQ. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.272.3.1440

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.