Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 340

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Rising behind NO: cGMP-dependent protein kinases

Hofmann, Franz, Ammendola, Aldo, Schlossmann, Jens·2000·Journal of Cell Science

Abstract

Over the past few years, a wealth of biochemical and functional data has been gathered on mammalian cGMP-dependent protein kinases (cGKs). In mammals, three different kinases are encoded by two genes. Mutant and chimeric cGMP kinase proteins generated by molecular biology techniques have yielded important biochemical knowledge, such as the function of the N-terminal domains of cGKI and cGKII, the identity of the cGMP-binding sites of cGKI, the substrate specificity of the enzymes and structural details of the catalytic center. Genetic approaches have proved to be especially useful for the analysis of the biological function of cGKs. Recently, some of the in vivo targets and mechanisms leading to smooth muscle relaxation have been identified. In vivo targets are the myosin-binding subunit of myosin phosphatase (PP1M), a member of the protein phosphatase 1, the calcium-activated maxi K+ channel and a new protein named IRAG that forms a complex with the inositol 1,4,5-trisphosphate (Ins(1,4,5)P3) receptor and cGKI. Phosphorylation of PP1M by cGKIα activates myosin phosphatase, whereas phosphorylation of IRAG by cGKIβ decreases Ins(1,4,5)P3-induced calcium release. cGKII regulates in vivo intestinal fluid secretion by phosphorylation of the cystic fibrosis transmembrane conductance regulator (CFTR), bone growth and renal renin secretion by phosphorylation of unknown 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.

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

Integrity signals

Registry

Crossref · 10.1242/jcs.113.10.1671

Cites

49 of 49 references verified0 citation errors · 0 not checkable

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

Cites

Show all 49 references

Cited by

See all 340

Metadata

Authors
Hofmann, F., Ammendola, A., & Schlossmann, J.
Venue
Journal of Cell Science
Published
2000-05-15
Volume
113
Issue
10
Pages
1671-1676
ISSN
  • 0021-9533 (ISSN-L)
  • 1477-9137
OpenAlex
W1902300865
Cited by
340
References
49
FWCI
9.24
Type
journal article
Language
en
Open access
closed

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: Rising behind NO: cGMP-dependent protein kinases. https://app.cochat.ai/papers/10.1242/jcs.113.10.1671
The paper
Hofmann, F., Ammendola, A., & Schlossmann, J. (2000). Rising behind NO: cGMP-dependent protein kinases. Journal of Cell Science. https://doi.org/10.1242/jcs.113.10.1671

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.