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Motile-Cilia-Mediated Flow Improves Sensitivity and Temporal Resolution of Olfactory Computations.
Reiten, Ingrid; Uslu, Fazil Emre; Fore, Stephanie; Pelgrims, Robbrecht; Ringers, Christa; Diaz Verdugo, Carmen; Hoffman, Maximillian; Lal, Pradeep; Kawakami, Koichi; Pekkan, Kerem; Yaksi, Emre; Jurisch-Yaksi, Nathalie.
Afiliação
  • Reiten I; Kavli Institute for Systems Neuroscience, Center for Neural Computation, The Faculty of Medicine, NTNU, Olav Kyrres Gate 9, 7030 Trondheim, Norway.
  • Uslu FE; Mechanical Engineering Department, Koc University, Rumelifeneri Yolu, 34450 Istanbul, Turkey.
  • Fore S; Kavli Institute for Systems Neuroscience, Center for Neural Computation, The Faculty of Medicine, NTNU, Olav Kyrres Gate 9, 7030 Trondheim, Norway.
  • Pelgrims R; Kavli Institute for Systems Neuroscience, Center for Neural Computation, The Faculty of Medicine, NTNU, Olav Kyrres Gate 9, 7030 Trondheim, Norway.
  • Ringers C; Kavli Institute for Systems Neuroscience, Center for Neural Computation, The Faculty of Medicine, NTNU, Olav Kyrres Gate 9, 7030 Trondheim, Norway.
  • Diaz Verdugo C; Kavli Institute for Systems Neuroscience, Center for Neural Computation, The Faculty of Medicine, NTNU, Olav Kyrres Gate 9, 7030 Trondheim, Norway; NERF, Kapeldreef 75, 3001 Leuven, Belgium; KU Leuven, Kapeldreef 75, 3001 Leuven, Belgium.
  • Hoffman M; Kavli Institute for Systems Neuroscience, Center for Neural Computation, The Faculty of Medicine, NTNU, Olav Kyrres Gate 9, 7030 Trondheim, Norway.
  • Lal P; Kavli Institute for Systems Neuroscience, Center for Neural Computation, The Faculty of Medicine, NTNU, Olav Kyrres Gate 9, 7030 Trondheim, Norway.
  • Kawakami K; Division of Molecular and Developmental Biology, National Institute of Genetics, and Department of Genetics, SOKENDAI (The Graduate University for Advanced Studies), 1111 Yata, Mishima, Shizuoka 411-8540, Japan.
  • Pekkan K; Mechanical Engineering Department, Koc University, Rumelifeneri Yolu, 34450 Istanbul, Turkey.
  • Yaksi E; Kavli Institute for Systems Neuroscience, Center for Neural Computation, The Faculty of Medicine, NTNU, Olav Kyrres Gate 9, 7030 Trondheim, Norway. Electronic address: emre.yaksi@ntnu.no.
  • Jurisch-Yaksi N; Kavli Institute for Systems Neuroscience, Center for Neural Computation, The Faculty of Medicine, NTNU, Olav Kyrres Gate 9, 7030 Trondheim, Norway. Electronic address: nathalie.jurisch-yaksi@ntnu.no.
Curr Biol ; 27(2): 166-174, 2017 Jan 23.
Article em En | MEDLINE | ID: mdl-28041793
Motile cilia are actively beating hair-like structures that cover the surface of multiple epithelia. The flow that ciliary beating generates is utilized for diverse functions and depends on the spatial location and biophysical properties of cilia. Here we show that the motile cilia in the nose of aquatic vertebrates are spatially organized and stably beat with an asymmetric pattern, resulting in a robust and stereotypical flow around the nose. Our results demonstrate that these flow fields attract odors to the nose pit and facilitate detection of odors by the olfactory system in stagnant environments. Moreover, we show that ciliary beating quickly exchanges the content of the nose, thereby improving the temporal resolution of the olfactory system for detecting dynamic changes of odor plumes in turbulent environments. Altogether, our work unravels a central function of ciliary beating for generating flow fields that increase the sensitivity and the temporal resolution of olfactory computations in the vertebrate brain.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Olfato / Peixe-Zebra / Nariz / Cílios / Epitélio Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Revista: Curr Biol Assunto da revista: BIOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Noruega País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Olfato / Peixe-Zebra / Nariz / Cílios / Epitélio Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Revista: Curr Biol Assunto da revista: BIOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Noruega País de publicação: Reino Unido