Evidence map›Paper›PMID 32620767›Full record

ArticleNature communications2020

Antagonistic odor interactions in olfactory sensory neurons are widespread in freely breathing mice.

Joseph D Zak, Gautam Reddy, Massimo Vergassola, Venkatesh N Murthy

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
3.8field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 86 citations in OpenAlex.

  1. Review
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  7. Convergent motifs of early olfactory processing are recapitulated by layer-wise efficient coding.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  15. Amplification of Olfactory Transduction Currents Implements Sparse Stimulus Encoding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  16. Recalibrating Olfactory Neuroscience to the Range of Naturally Occurring Odor Concentrations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  17. Design Principles From Natural Olfaction for Electronic Noses.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 3 countries.

Joseph D ZakDepartment of Molecular & Cellular Biology, Harvard University, Cambridge, MA, 02138, USA. jzak@fas.harvard.edu.ORCID http://orcid.org/0000-0002-3148-5325
Gautam ReddyNSF-Simons Center for Mathematical & Statistical Analysis of Biology, Harvard University, Cambridge, MA, 02138, USA.
Massimo VergassolaLaboratoire de Physique de l'Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, Paris, F-75005, France.ORCID http://orcid.org/0000-0002-7212-8244
Venkatesh N MurthyDepartment of Molecular & Cellular Biology, Harvard University, Cambridge, MA, 02138, USA. vnmurthy@fas.harvard.edu.ORCID http://orcid.org/0000-0003-2443-4252
Harvard University · USCentre National de la Recherche Scientifique · FR

Funding

Stability and flexibility of neural representations in the ventral striatumR01DC017311 · NIDCD · HARVARD UNIVERSITY · PI VENKATESH N MURTHY, Naoshige Uchida · 2019 to 2026
$4.5M
Cortical feedback and olfactory processingR01DC016289 · NIDCD · HARVARD UNIVERSITY · PI MURTHY, VENKATESH N · 2018 to 2022
$2.0M
KITP Interdisciplinary Biology InitiativeR25GM067110 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SHRAIMAN, BORIS I · 2003 to 2018
$1.8M
Neuromodulation of sensory processing by the serotonin systemR01DC014453 · NIDCD · HARVARD UNIVERSITY · PI MURTHY, VENKATESH N · 2015 to 2019
$1.8M
Learning-mediated plasticity in cortical feedback projections to the olfactory bulbK99DC017754 · NIDCD · HARVARD UNIVERSITY · PI ZAK, JOSEPH DONALD · 2020 to 2021
$257k
Information Coding in Individual Olfactory Sensory AxonsF32DC015938 · NIDCD · HARVARD UNIVERSITY · PI ZAK, JOSEPH DONALD · 2017 to 2019
$165k
NIDCD NIH HHS F32 DC015938NIDCD NIH HHS K99 DC017754NIDCD NIH HHS R01 DC014453NIDCD NIH HHS R01 DC016289NIDCD NIH HHS R01 DC017311NIGMS NIH HHS R25 GM067110
6 · The paper itself

Abstract

Odor landscapes contain complex blends of molecules that each activate unique, overlapping populations of olfactory sensory neurons (OSNs). Despite the presence of hundreds of OSN subtypes in many animals, the overlapping nature of odor inputs may lead to saturation of neural responses at the early stages of stimulus encoding. Information loss due to saturation could be mitigated by normalizing mechanisms such as antagonism at the level of receptor-ligand interactions, whose existence and prevalence remains uncertain. By imaging OSN axon terminals in olfactory bulb glomeruli as well as OSN cell bodies within the olfactory epithelium in freely breathing mice, we find widespread antagonistic interactions in binary odor mixtures. In complex mixtures of up to 12 odorants, antagonistic interactions are stronger and more prevalent with increasing mixture complexity. Therefore, antagonism is a common feature of odor mixture encoding in OSNs and helps in normalizing activity to reduce saturation and increase information transfer.

Indexed as

OdorantsAnimalsComplex MixturesDrug AntagonismFemaleLigandsMaleMiceMicroscopy, Fluorescence, MultiphotonOlfactory BulbOlfactory MucosaOlfactory PerceptionOlfactory Receptor NeuronsPresynaptic TerminalsReceptors, OdorantRespirationComplex MixturesLigandsReceptors, Odorant

Identifiers

PMID32620767
PMCPMC7335155
OpenAlexW3038855766

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.