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Cited by 2,316

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Combinatorial Receptor Codes for Odors

Open access
Malnic, Bettina, Hirono, Junzo, Sato, Takaaki, Buck, Linda B·1999·Cell

Abstract

The discriminatory capacity of the mammalian olfactory system is such that thousands of volatile chemicals are perceived as having distinct odors. Here we used a combination of calcium imaging and single-cell RT-PCR to identify odorant receptors (ORs) for odorants with related structures but varied odors. We found that one OR recognizes multiple odorants and that one odorant is recognized by multiple ORs, but that different odorants are recognized by different combinations of ORs. Thus, the olfactory system uses a combinatorial receptor coding scheme to encode odor identities. Our studies also indicate that slight alterations in an odorant, or a change in its concentration, can change its "code," potentially explaining how such changes can alter perceived odor quality.

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Crossref · 10.1016/s0092-8674(00)80581-4

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Metadata

Authors
Malnic, B., Hirono, J., Sato, T., & Buck, L. B.
Venue
Cell
Publisher
Elsevier BV
Published
1999-03
Volume
96
Issue
5
Pages
713-723
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2161659751
Cited by
2,316
References
2
FWCI
34.99
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Combinatorial Receptor Codes for Odors. https://app.cochat.ai/papers/10.1016/s0092-8674(00)80581-4
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Malnic, B., Hirono, J., Sato, T., & Buck, L. B. (1999). Combinatorial Receptor Codes for Odors. Cell. https://doi.org/10.1016/s0092-8674(00)80581-4

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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.