Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 747

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Impaired Pressure Sensation in Mice Lacking TRPV4

Open access
Suzuki, Makoto, Mizuno, Atsuko, Kodaira, Kunihiko, Imai, Masashi·2003·Journal of Biological Chemistry

Abstract

The sensation of pressure, mechanosensation, in vertebrates remains poorly understood on the molecular level. The ion channel TRPV4 is in the TRP family and is a candidate for a mechanosensitive calcium-permeable channel. It is located in dorsal root ganglia. In the present study, we show that disrupting the Trpv4 gene in mice markedly reduced the sensitivity of the tail to pressure and acidic nociception. The threshold to noxious stimuli and the conduction velocity of myelinated nerve responding to stimuli were also impaired. Activation of unmyelinated nerve was undetected. However, the mouse still retained olfaction, taste sensation, and heat avoidance. The TRPV4 channel expressed in vitro in Chinese hamster ovary cells was opened by low pH, citrate, and inflation but not by heat or capsaicin. These data identify the TRPV4 channel as essential for the normal detection of pressure and as a receptor of the high-threshold mechanosensory complex.

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.m302561200

Cites

1 of 1 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 1 references

Cited by

See all 747

Metadata

Authors
Suzuki, M., Mizuno, A., Kodaira, K., & Imai, M.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
2003-06
Volume
278
Issue
25
Pages
22664-22668
ISSN
0021-9258 (ISSN-L)
OpenAlex
W2040501484
Cited by
747
References
1
FWCI
14.11
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: Impaired Pressure Sensation in Mice Lacking TRPV4. https://app.cochat.ai/papers/10.1074/jbc.m302561200
The paper
Suzuki, M., Mizuno, A., Kodaira, K., & Imai, M. (2003). Impaired Pressure Sensation in Mice Lacking TRPV4. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m302561200

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.