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388 results on '"Hibino, Hiroshi"'

1. Inwardly rectifying potassium channels (KIR) in GtoPdb v.2021.3

Author

Adelman, John P, Clapham, David E, Hibino, Hiroshi, Inanobe, Atsushi, Jan, Lily Y, Karschin, Andreas, Kubo, Yoshihiro, Kurachi, Yoshihisa, Lazdunski, Michel, Miki, Takashi, Nichols, Colin G, Palmer, Lawrence G, Pearson, Wade L, Sackin, Henry, Seino, Susumu, Slesinger, Paul A, Tucker, Stephen, and Vandenberg, Carol A

Abstract

The 2TM domain family of K channels are also known as the inward-rectifier K channel family. This family includes the strong inward-rectifier K channels (Kir2.x) that are constitutively active, the G-protein-activated inward-rectifier K channels (Kir3.x) and the ATP-sensitive K channels (Kir6.x, which combine with sulphonylurea receptors (SUR1-3)). The pore-forming α subunits form tetramers, and heteromeric channels may be formed within subfamilies (e.g. Kir3.2 with Kir3.3).

Published
2023

3. Inwardly rectifying potassium channels (version 2019.4) in the IUPHAR/BPS Guide to Pharmacology Database

Author

Adelman, John P, Clapham, David E, Hibino, Hiroshi, Inanobe, Atsushi, Jan, Lily Y, Karschin, Andreas, Kubo, Yoshihiro, Kurachi, Yoshihisa, Lazdunski, Michel, Miki, Takashi, Nichols, Colin G, Palmer, Lawrence G, Pearson, Wade L, Sackin, Henry, Seino, Susumu, Slesinger, Paul A, Tucker, Stephen, and Vandenberg, Carol A

Abstract

The 2TM domain family of K channels are also known as the inward-rectifier K channel family. This family includes the strong inward-rectifier K channels (Kir2.x) that are constitutively active, the G-protein-activated inward-rectifier K channels (Kir3.x) and the ATP-sensitive K channels (Kir6.x, which combine with sulphonylurea receptors (SUR1-3)). The pore-forming α subunits form tetramers, and heteromeric channels may be formed within subfamilies (e.g. Kir3.2 with Kir3.3).

Published
2022

4. A strategy for low-cost portable monitoring of plasma drug concentrations using a sustainable boron-doped-diamond chip

Author

Saiki, Takuro, Ogata, Genki, Sawamura, Seishiro, Asai, Kai, Razvina, Olga, Watanabe, Kota, Kato, Rito, Zhang, Qi, Akiyama, Koei, Madhurantakam, Sasya, Ahmad, Norzahirah Binti, Ino, Daisuke, Nashimoto, Haruma, Matsumoto, Yoshifumi, Moriyama, Masato, Horii, Arata, Kondo, Chie, Ochiai, Ryosuke, Kusuhara, Hiroyuki, Saijo, Yasuo, Einaga, Yasuaki, and Hibino, Hiroshi

Published
2023
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7. Integrative and theoretical research on the architecture of a biological system and its disorder.

Author

Uchida, Shinichi, Asai, Yoshiyuki, Kariya, Yoshiaki, Tsumoto, Kunichika, Hibino, Hiroshi, Honma, Masashi, Abe, Takeshi, Nin, Fumiaki, Kurata, Yasutaka, Furutani, Kazuharu, Suzuki, Hiroshi, Kitano, Hiroaki, Inoue, Ryuji, and Kurachi, Yoshihisa

Subjects
Animals, Humans, Disease, Computational Biology, Systems Biology, Research, Computer Simulation, Software, Japan, Computer simulation, Omics study, Physiological experiments, Software platform, Systems biology, Physiology, Medical Physiology
Abstract

An organism stems from assemblies of a variety of cells and proteins. This complex system serves as a unit, and it exhibits highly sophisticated functions in response to exogenous stimuli that change over time. The complete sequencing of the entire human genome has allowed researchers to address the enigmas of life and disease at the gene- or molecular-based level. The consequence of such studies is the rapid accumulation of a multitude of data at multiple levels, ranging from molecules to the whole body, that has necessitated the development of entirely new concepts, tools, and methodologies to analyze and integrate these data. This necessity has given birth to systems biology, an advanced theoretical and practical research framework that has totally changed the directions of not only basic life science but also medicine. During the symposium of the 95th Annual Meeting of The Physiological Society of Japan 2018, five researchers reported on their respective studies on systems biology. The topics included reactions of drugs, ion-transport architecture in an epithelial system, multi-omics in renal disease, cardiac electrophysiological systems, and a software platform for computer simulation. In this review article these authors have summarized recent achievements in the field and discuss next-generation studies on health and disease.

Published
2019

9. Disturbance in the protein landscape of cochlear perilymph in an Alzheimer’s disease mouse model

Author

Fukuda, Masatoshi, primary, Okanishi, Hiroki, additional, Ino, Daisuke, additional, Ono, Kazuya, additional, Kawamura, Satoru, additional, Wakai, Eri, additional, Miyoshi, Tsuyoshi, additional, Sato, Takashi, additional, Ohta, Yumi, additional, Saito, Takashi, additional, Saido, Takaomi C., additional, Inohara, Hidenori, additional, Kanai, Yoshikatsu, additional, and Hibino, Hiroshi, additional

Published
2024
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17. Classification of multiple emotional states from facial expressions in head-fixed mice using a deep learning-based image analysis

Author

Tanaka, Yudai, Nakata, Takuto, 1000070314317, Hibino, Hiroshi, 1000050423562, Nishiyama, Masaaki, 1000040721981, 0000-0002-8112-0746, Ino, Daisuke, Tanaka, Yudai, Nakata, Takuto, 1000070314317, Hibino, Hiroshi, 1000050423562, Nishiyama, Masaaki, 1000040721981, 0000-0002-8112-0746, and Ino, Daisuke

Abstract

Tanaka Y., Nakata T., Hibino H., et al. Classification of multiple emotional states from facial expressions in head-fixed mice using a deep learning-based image analysis. PLoS ONE 18, e0288930 (2023); https://doi.org/10.1371/journal.pone.0288930., Facial expressions are widely recognized as universal indicators of underlying internal states in most species of animals, thereby presenting as a non-invasive measure for assessing physical and mental conditions. Despite the advancement of artificial intelligence-assisted tools for automated analysis of voluminous facial expression data in human subjects, the corresponding tools for mice still remain limited so far. Considering that mice are the most prevalent model animals for studying human health and diseases, a comprehensive characterization of emotion-dependent patterns of facial expressions in mice could extend our knowledge on the basis of emotions and the related disorders. Here, we present a framework for the development of a deep learning-powered tool for classifying facial expressions in head-fixed mouse. We demonstrate that our machine vision was capable of accurately classifying three different emotional states from lateral facial images in head-fixed mouse. Moreover, we objectively determined how our classifier characterized the differences among the facial images through the use of an interpretation technique called Gradient-weighted Class Activation Mapping. Importantly, our machine vision presumably discerned the data by leveraging multiple facial features. Our approach is likely to facilitate the non-invasive decoding of a variety of emotions from facial images in head-fixed mice.

Published
2023

27. Two Loci Contribute to Age-Related Hearing Loss Resistance in the Japanese Wild-Derived Inbred MSM/Ms Mice

Author

Yasuda, Shumpei P., primary, Miyasaka, Yuki, additional, Hou, Xuehan, additional, Obara, Yo, additional, Shitara, Hiroshi, additional, Seki, Yuta, additional, Matsuoka, Kunie, additional, Takahashi, Ai, additional, Wakai, Eri, additional, Hibino, Hiroshi, additional, Takada, Toyoyuki, additional, Shiroishi, Toshihiko, additional, Kominami, Ryo, additional, and Kikkawa, Yoshiaki, additional

Published
2022
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35. A simple strategy for low-cost portable monitoring of plasma drug concentrations using a sustainable boron-doped-diamond chip

Author

Saiki, Takuro, primary, Ogata, Genki, additional, Sawamura, Seishiro, additional, Asai, Kai, additional, Razvina, Olga, additional, Watanabe, Kota, additional, Kato, Rito, additional, Zhang, Qi, additional, Akiyama, Koei, additional, Madhurantakam, Sasya, additional, Nashimoto, Haruma, additional, Matsumoto, Yoshifumi, additional, Moriyama, Masato, additional, Horii, Arata, additional, Kondo, Chie, additional, Ochiai, Ryosuke, additional, Kusuhara, Hiroyuki, additional, Saijo, Yasuo, additional, Einaga, Yasuaki, additional, and Hibino, Hiroshi, additional

Published
2022
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42. A Method Designed for Point-of-care System Monitoring Plasma Concentration of an Anticancer Molecular Targeting Drug with Diamond Electrode

Author

Takuro, Saiki, primary, Ogata, Genki, additional, Sawamura, Seishiro, additional, Razvina, Olga, additional, Watanabe, Kota, additional, Kato, Rito, additional, Asai, Kai, additional, Matsumoto, Yoshifumi, additional, Moriyama, Masato, additional, Saijo, Yasuo, additional, Einaga, Yasuaki, additional, and Hibino, Hiroshi, additional

Published
2022
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46. Inwardly rectifying potassium channels (KIR) in GtoPdb v.2021.3

Author

Adelman, John P., primary, Clapham, David E., primary, Hibino, Hiroshi, primary, Inanobe, Atsushi, primary, Jan, Lily Y., primary, Karschin, Andreas, primary, Kubo, Yoshihiro, primary, Kurachi, Yoshihisa, primary, Lazdunski, Michel, primary, Miki, Takashi, primary, Nichols, Colin G., primary, Palmer, Lawrence G., primary, Pearson, Wade L., primary, Sackin, Henry, primary, Seino, Susumu, primary, Slesinger, Paul A., primary, Tucker, Stephen, primary, and Vandenberg, Carol A., primary

Published
2021
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