IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-39712-x.html
   My bibliography  Save this article

Involvement of skin TRPV3 in temperature detection regulated by TMEM79 in mice

Author

Listed:
  • Jing Lei

    (National Institutes of Natural Sciences
    The Graduate University for Advanced Studies (SOKENDAI)
    National Institutes of Natural Sciences)

  • Reiko U. Yoshimoto

    (Saga University)

  • Takeshi Matsui

    (RIKEN Center for Integrative Medical Sciences
    Tokyo University of Technology
    Keio University School of Medicine)

  • Masayuki Amagai

    (RIKEN Center for Integrative Medical Sciences
    Keio University School of Medicine)

  • Mizuho A. Kido

    (Saga University)

  • Makoto Tominaga

    (National Institutes of Natural Sciences
    The Graduate University for Advanced Studies (SOKENDAI)
    National Institutes of Natural Sciences)

Abstract

TRPV3, a non-selective cation transient receptor potential (TRP) ion channel, is activated by warm temperatures. It is predominantly expressed in skin keratinocytes, and participates in various somatic processes. Previous studies have reported that thermosensation in mice lacking TRPV3 was impaired. Here, we identified a transmembrane protein, TMEM79, that acts as a negative regulator of TRPV3. Heterologous expression of TMEM79 was capable of suppressing TRPV3-mediated currents in HEK293T cells. In addition, TMEM79 modulated TRPV3 translocalization and promoted its degradation in the lysosomes. TRPV3-mediated currents and Ca2+ influx were potentiated in primary mouse keratinocytes lacking TMEM79. Furthermore, TMEM79-deficient male mice preferred a higher temperature than did wild-type mice due to elevated TRPV3 function. Our study revealed unique interactions between TRPV3 and TMEM79, both in vitro and in vivo. These findings support roles for TMEM79 and TRPV3 in thermosensation.

Suggested Citation

  • Jing Lei & Reiko U. Yoshimoto & Takeshi Matsui & Masayuki Amagai & Mizuho A. Kido & Makoto Tominaga, 2023. "Involvement of skin TRPV3 in temperature detection regulated by TMEM79 in mice," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39712-x
    DOI: 10.1038/s41467-023-39712-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-39712-x
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-39712-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Diana M. Bautista & Jan Siemens & Joshua M. Glazer & Pamela R. Tsuruda & Allan I. Basbaum & Cheryl L. Stucky & Sven-Eric Jordt & David Julius, 2007. "The menthol receptor TRPM8 is the principal detector of environmental cold," Nature, Nature, vol. 448(7150), pages 204-208, July.
    2. Haoxing Xu & I. Scott Ramsey & Suhas A. Kotecha & Magdalene M. Moran & Jayhong A. Chong & Deborah Lawson & Pei Ge & Jeremiah Lilly & Inmaculada Silos-Santiago & Yu Xie & Peter S. DiStefano & Rory Curt, 2002. "TRPV3 is a calcium-permeable temperature-sensitive cation channel," Nature, Nature, vol. 418(6894), pages 181-186, July.
    3. Katja Luck & Dae-Kyum Kim & Luke Lambourne & Kerstin Spirohn & Bridget E. Begg & Wenting Bian & Ruth Brignall & Tiziana Cafarelli & Francisco J. Campos-Laborie & Benoit Charloteaux & Dongsic Choi & At, 2020. "A reference map of the human binary protein interactome," Nature, Nature, vol. 580(7803), pages 402-408, April.
    4. G. D. Smith & M. J. Gunthorpe & R. E. Kelsell & P. D. Hayes & P. Reilly & P. Facer & J. E. Wright & J. C. Jerman & J.-P. Walhin & L. Ooi & J. Egerton & K. J. Charles & D. Smart & A. D. Randall & P. An, 2002. "TRPV3 is a temperature-sensitive vanilloid receptor-like protein," Nature, Nature, vol. 418(6894), pages 186-190, July.
    5. Takashi Miyamoto & Matt J. Petrus & Adrienne E. Dubin & Ardem Patapoutian, 2011. "TRPV3 regulates nitric oxide synthase-independent nitric oxide synthesis in the skin," Nature Communications, Nature, vol. 2(1), pages 1-12, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arthur Neuberger & Kirill D. Nadezhdin & Alexander I. Sobolevsky, 2022. "Structural mechanism of TRPV3 channel inhibition by the anesthetic dyclonine," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. Patrick Bryant & Gabriele Pozzati & Wensi Zhu & Aditi Shenoy & Petras Kundrotas & Arne Elofsson, 2022. "Predicting the structure of large protein complexes using AlphaFold and Monte Carlo tree search," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    3. Ghulam Muhiuddin & Sovan Samanta & Abdulrahman F. Aljohani & Abeer M. Alkhaibari, 2023. "A Study on Graph Centrality Measures of Different Diseases Due to DNA Sequencing," Mathematics, MDPI, vol. 11(14), pages 1-18, July.
    4. Diego Esposito & Jane Dudley-Fraser & Acely Garza-Garcia & Katrin Rittinger, 2022. "Divergent self-association properties of paralogous proteins TRIM2 and TRIM3 regulate their E3 ligase activity," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    5. Bingjie Hao & István A. Kovács, 2023. "A positive statistical benchmark to assess network agreement," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    6. Maik Müller & Fabienne Gräbnitz & Niculò Barandun & Yang Shen & Fabian Wendt & Sebastian N. Steiner & Yannik Severin & Stefan U. Vetterli & Milon Mondal & James R. Prudent & Raphael Hofmann & Marc Oos, 2021. "Light-mediated discovery of surfaceome nanoscale organization and intercellular receptor interaction networks," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
    7. Pisanu Buphamalai & Tomislav Kokotovic & Vanja Nagy & Jörg Menche, 2021. "Network analysis reveals rare disease signatures across multiple levels of biological organization," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    8. Xu-Wen Wang & Lorenzo Madeddu & Kerstin Spirohn & Leonardo Martini & Adriano Fazzone & Luca Becchetti & Thomas P. Wytock & István A. Kovács & Olivér M. Balogh & Bettina Benczik & Mátyás Pétervári & Be, 2023. "Assessment of community efforts to advance network-based prediction of protein–protein interactions," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    9. Jens S. Andersen & Aaran Vijayakumaran & Christopher Godbehere & Esben Lorentzen & Vito Mennella & Kenneth Bødtker Schou, 2024. "Uncovering structural themes across cilia microtubule inner proteins with implications for human cilia function," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    10. Cheoljun Choi & Yujin L. Jeong & Koung-Min Park & Minji Kim & Sangseob Kim & Honghyun Jo & Sumin Lee & Heeseong Kim & Garam Choi & Yoon Ha Choi & Je Kyung Seong & Sik Namgoong & Yeonseok Chung & Young, 2024. "TM4SF19-mediated control of lysosomal activity in macrophages contributes to obesity-induced inflammation and metabolic dysfunction," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    11. David Alarcón-Alarcón & David Cabañero & Jorge Andrés-López & Magdalena Nikolaeva-Koleva & Simona Giorgi & Gregorio Fernández-Ballester & Asia Fernández-Carvajal & Antonio Ferrer-Montiel, 2022. "TRPM8 contributes to sex dimorphism by promoting recovery of normal sensitivity in a mouse model of chronic migraine," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    12. Yesheng Fu & Lei Li & Xin Zhang & Zhikang Deng & Ying Wu & Wenzhe Chen & Yuchen Liu & Shan He & Jian Wang & Yuping Xie & Zhiwei Tu & Yadi Lyu & Yange Wei & Shujie Wang & Chun-Ping Cui & Cui Hua Liu & , 2024. "Systematic HOIP interactome profiling reveals critical roles of linear ubiquitination in tissue homeostasis," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    13. Patrick Bryant & Gabriele Pozzati & Arne Elofsson, 2022. "Improved prediction of protein-protein interactions using AlphaFold2," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    14. Hong-Wen Tang & Kerstin Spirohn & Yanhui Hu & Tong Hao & István A. Kovács & Yue Gao & Richard Binari & Donghui Yang-Zhou & Kenneth H. Wan & Joel S. Bader & Dawit Balcha & Wenting Bian & Benjamin W. Bo, 2023. "Next-generation large-scale binary protein interaction network for Drosophila melanogaster," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    15. Ivo B. Regli & Giacomo Strapazzon & Marika Falla & Rosmarie Oberhammer & Hermann Brugger, 2021. "Long-Term Sequelae of Frostbite—A Scoping Review," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
    16. Gergo Gogl & Boglarka Zambo & Camille Kostmann & Alexandra Cousido-Siah & Bastien Morlet & Fabien Durbesson & Luc Negroni & Pascal Eberling & Pau Jané & Yves Nominé & Andras Zeke & Søren Østergaard & , 2022. "Quantitative fragmentomics allow affinity mapping of interactomes," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    17. Erick Olivares & Simón Salgado & Jean Paul Maidana & Gaspar Herrera & Matías Campos & Rodolfo Madrid & Patricio Orio, 2015. "TRPM8-Dependent Dynamic Response in a Mathematical Model of Cold Thermoreceptor," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-17, October.
    18. Shilin Sun & Hua Tian & Runze Wang & Zehua Zhang, 2023. "Biomedical Interaction Prediction with Adaptive Line Graph Contrastive Learning," Mathematics, MDPI, vol. 11(3), pages 1-14, February.
    19. Adrià Fernández-Torras & Miquel Duran-Frigola & Martino Bertoni & Martina Locatelli & Patrick Aloy, 2022. "Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    20. Florin Ratajczak & Mitchell Joblin & Marcel Hildebrandt & Martin Ringsquandl & Pascal Falter-Braun & Matthias Heinig, 2023. "Speos: an ensemble graph representation learning framework to predict core gene candidates for complex diseases," Nature Communications, Nature, vol. 14(1), pages 1-18, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39712-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.