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dc.contributor.author Kim, Minseok -
dc.contributor.author Lee, Jeongyoon -
dc.contributor.author Park, Inah -
dc.contributor.author Kim, Jihoon -
dc.contributor.author Lee, Keunsoon -
dc.contributor.author So, Jinhyun -
dc.contributor.author Choi, Ji-Woong -
dc.contributor.author Jang, Jae Eun -
dc.contributor.author Kwon, Hyuk-Jun -
dc.contributor.author Moon, Cheil -
dc.contributor.author Choe, Han Kyoung -
dc.date.accessioned 2025-11-25T18:10:10Z -
dc.date.available 2025-11-25T18:10:10Z -
dc.date.created 2025-11-06 -
dc.date.issued 2025-11 -
dc.identifier.issn 2589-0042 -
dc.identifier.uri https://scholar.dgist.ac.kr/handle/20.500.11750/59222 -
dc.description.abstract Mechanisms underlying single odorant activation of specific olfactory receptors are well understood. However, how the olfactory system processes complex odor mixtures at the receptor level remains unclear. This study examined olfactory receptor activation patterns across odor complexities using phosphoTRAP analysis. For most mixtures, receptor activation patterns closely matched the linear sum of individual component responses. However, distinct receptor sets display non-linear responses unexplained by linear models. Mixture responses were generally located between component responses and often aligned with linear predictions, though some deviations indicated non-linear interactions. Total activated receptors remained relatively constant regardless of odor complexity, suggesting efficient coding that prevented receptor saturation as odorant components increased. These findings provide receptor-level evidence that the olfactory system encodes complex odors primarily through linear integration of receptor activity, with added specificity from non-linear responses in limited receptors, advancing understanding of how the olfactory system normalizes receptor activation in response to natural odors. -
dc.language English -
dc.publisher Cell Press -
dc.title Stable olfactory receptor activation across odor complexity -
dc.type Article -
dc.identifier.doi 10.1016/j.isci.2025.113740 -
dc.identifier.wosid 001609229500001 -
dc.identifier.scopusid 2-s2.0-105019970096 -
dc.identifier.bibliographicCitation iScience, v.28, no.11 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor Biological sciences -
dc.subject.keywordAuthor Natural sciences -
dc.subject.keywordAuthor Neuroscience -
dc.subject.keywordAuthor Sensory neuroscience -
dc.subject.keywordPlus STRUCTURAL BASIS -
dc.subject.keywordPlus QUANTIFICATION -
dc.subject.keywordPlus NEURONS -
dc.subject.keywordPlus S6 -
dc.citation.number 11 -
dc.citation.title iScience -
dc.citation.volume 28 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Science & Technology - Other Topics -
dc.relation.journalWebOfScienceCategory Multidisciplinary Sciences -
dc.type.docType Article -
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소진현
So, Jinhyun소진현

Department of Electrical Engineering and Computer Science

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