Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 439

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Vagal Sensory Neuron Subtypes that Differentially Control Breathing

Open access
Chang, Rui B., Strochlic, David E., Williams, Erika K., Umans, Benjamin D., Liberles, Stephen D.·2015·Cell

Abstract

SUMMARY Breathing is essential for survival and under precise neural control. The vagus nerve is a major conduit between lung and brain required for normal respiration. Here, we identify two populations of mouse vagus nerve afferents (P2ry1, Npy2r), each a few hundred neurons, that exert powerful and opposing effects on breathing. Genetically guided anatomical mapping revealed that these neurons densely innervate the lung and send long-range projections to different brainstem targets. Npy2r neurons are largely slow-conducting C fibers, while P2ry1 neurons are largely fast-conducting A fibers that contact pulmonary endocrine cells (neuroepithelial bodies). Optogenetic stimulation of P2ry1 neurons acutely silences respiration, trapping animals in exhalation, while stimulating Npy2r neurons causes rapid, shallow breathing. Activating P2ry1 neurons did not impact heart rate or gastric pressure, other autonomic functions under vagal control. Thus, the vagus nerve contains intermingled sensory neurons constituting genetically definable labeled lines with different anatomical connections and physiological roles.

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 · 10.1016/j.cell.2015.03.022

Cites

10 of 10 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 10 references

Cited by

See all 439

Metadata

Authors
Chang, R. B., Strochlic, D. E., Williams, E. K., Umans, B. D., & Liberles, S. D.
Venue
Cell
Publisher
Elsevier BV
Published
2015-04
Volume
161
Issue
3
Pages
622-633
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2090597220
Cited by
439
References
10
FWCI
9.66
Type
journal article
Language
en
Open access
bronze

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: Vagal Sensory Neuron Subtypes that Differentially Control Breathing. https://app.cochat.ai/papers/10.1016/j.cell.2015.03.022
The paper
Chang, R. B., Strochlic, D. E., Williams, E. K., Umans, B. D., & Liberles, S. D. (2015). Vagal Sensory Neuron Subtypes that Differentially Control Breathing. Cell. https://doi.org/10.1016/j.cell.2015.03.022

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.