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Khoo CSM, Henmi T, Saito M. Comparative Study of Metastasis Suppression Effects of Extracellular Vesicles Derived from Anaplastic Cell Lines, Nanog-Overexpressing Melanoma, and Induced Pluripotent Stem Cells. Int J Mol Sci 2023; 24:17206. [PMID: 38139035 PMCID: PMC10743167 DOI: 10.3390/ijms242417206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/30/2023] [Accepted: 12/02/2023] [Indexed: 12/24/2023] Open
Abstract
Previous studies have demonstrated that extracellular vesicles (EVs) derived from an anaplastic mouse melanoma cell line made using Nanog overexpression of F10 (Nanog+F10) suppressed the metastasis of Nanog+F10. Here, an induced pluripotent stem (iPS) cell line was focused as a more anaplastic cell line, potentially producing EVs with higher metastasis-suppressive effects. The EVs were introduced into the tail vein nine times before introducing Nanog+F10 cells. Two weeks later, the liver and lung were resected and metastatic colonies were quantified. The involvement of macrophages (invasion inhibiting ability, phagocytic activity) and cytotoxic T cells (cytotoxicity) was evaluated using J774.1 and CTLL-2 cell lines. iPS EVs showed similar level effects to Nanog+F10 EVs in every item relevant to metastasis suppression. Differential expression analysis of miRNAs in EVs and functional network database analysis revealed that dominant regulatory miRNAs were predicted. The candidate hub genes most highly associated with the metastasis suppression mechanism were predicted as six genes, including Trp53 and Hif1a, for Nanog+F10 EVs and ten genes, including Ins1 and Kitl, for iPS EVs. Regarding the mechanism, Nanog+F10 EVs and iPS EVs were very different. This suggests synergistic effect when used together as metastasis preventive vaccine.
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Affiliation(s)
- Celine Swee May Khoo
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei, Tokyo 184-8588, Japan
| | - Takuya Henmi
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei, Tokyo 184-8588, Japan
| | - Mikako Saito
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei, Tokyo 184-8588, Japan
- Bioresource Laboratories, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei, Tokyo 184-8588, Japan
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Fujinami K, Takuno R, Sato I, Shimmura T. Evaluating Behavior Recognition Pipeline of Laying Hens Using Wearable Inertial Sensors. Sensors (Basel) 2023; 23:s23115077. [PMID: 37299804 DOI: 10.3390/s23115077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/11/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023]
Abstract
Recently, animal welfare has gained worldwide attention. The concept of animal welfare encompasses the physical and mental well-being of animals. Rearing layers in battery cages (conventional cages) may violate their instinctive behaviors and health, resulting in increased animal welfare concerns. Therefore, welfare-oriented rearing systems have been explored to improve their welfare while maintaining productivity. In this study, we explore a behavior recognition system using a wearable inertial sensor to improve the rearing system based on continuous monitoring and quantifying behaviors. Supervised machine learning recognizes a variety of 12 hen behaviors where various parameters in the processing pipeline are considered, including the classifier, sampling frequency, window length, data imbalance handling, and sensor modality. A reference configuration utilizes a multi-layer perceptron as a classifier; feature vectors are calculated from the accelerometer and angular velocity sensor in a 1.28 s window sampled at 100 Hz; the training data are unbalanced. In addition, the accompanying results would allow for a more intensive design of similar systems, estimation of the impact of specific constraints on parameters, and recognition of specific behaviors.
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Affiliation(s)
- Kaori Fujinami
- Division of Advanced Information Technology and Computer Science, Institute of Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan
- Department of Bio-Functions and Systems Science, Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan
| | - Ryo Takuno
- Department of Bio-Functions and Systems Science, Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan
| | - Itsufumi Sato
- Department of Agriculture, Graduate School of Agriculture, Tokyo University of Agriculture and Technology, Tokyo 183-8509, Japan
| | - Tsuyoshi Shimmura
- Institute of Global Innovation Research, Tokyo University of Agriculture and Technology, Tokyo 183-8509, Japan
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Tsuchiaka S, Naoi Y, Imai R, Masuda T, Ito M, Akagami M, Ouchi Y, Ishii K, Sakaguchi S, Omatsu T, Katayama Y, Oba M, Shirai J, Satani Y, Takashima Y, Taniguchi Y, Takasu M, Madarame H, Sunaga F, Aoki H, Makino S, Mizutani T, Nagai M. Genetic diversity and recombination of enterovirus G strains in Japanese pigs: High prevalence of strains carrying a papain-like cysteine protease sequence in the enterovirus G population. PLoS One 2018; 13:e0190819. [PMID: 29324778 PMCID: PMC5764308 DOI: 10.1371/journal.pone.0190819] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Accepted: 12/20/2017] [Indexed: 11/18/2022] Open
Abstract
To study the genetic diversity of enterovirus G (EV-G) among Japanese pigs, metagenomics sequencing was performed on fecal samples from pigs with or without diarrhea, collected between 2014 and 2016. Fifty-nine EV-G sequences, which were >5,000 nucleotides long, were obtained. By complete VP1 sequence analysis, Japanese EV-G isolates were classified into G1 (17 strains), G2 (four strains), G3 (22 strains), G4 (two strains), G6 (two strains), G9 (six strains), G10 (five strains), and a new genotype (one strain). Remarkably, 16 G1 and one G2 strain identified in diarrheic (23.5%; four strains) or normal (76.5%; 13 strains) fecal samples possessed a papain-like cysteine protease (PL-CP) sequence, which was recently found in the USA and Belgium in the EV-G genome, at the 2C–3A junction site. This paper presents the first report of the high prevalence of viruses carrying PL-CP in the EV-G population. Furthermore, possible inter- and intragenotype recombination events were found among EV-G strains, including G1-PL-CP strains. Our findings may advance the understanding of the molecular epidemiology and genetic evolution of EV-Gs.
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Affiliation(s)
- Shinobu Tsuchiaka
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Yuki Naoi
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Ryo Imai
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Tsuneyuki Masuda
- Kurayoshi Livestock Hygiene Service Center, Kurayoshi, Tottori, Japan
| | - Mika Ito
- Ishikawa Nanbu Livestock Hygiene Service Center, Kanazawa, Ishikawa, Japan
| | | | - Yoshinao Ouchi
- Kenpoku Livestock Hygiene Service Center, Mito, Ibaraki, Japan
| | - Kazuo Ishii
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Shoichi Sakaguchi
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Tsutomu Omatsu
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Yukie Katayama
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Mami Oba
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Junsuke Shirai
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Yuki Satani
- Department of Veterinary Medicine, Faculty of Applied Biological Sciences, Gifu University, Yanagido, Gifu, Japan
| | - Yasuhiro Takashima
- Department of Veterinary Medicine, Faculty of Applied Biological Sciences, Gifu University, Yanagido, Gifu, Japan
- Education and Research Center for Food Animal Health, Gifu University (GeFAH), Gifu, Japan
- Center for Highly Advanced Integration of Nano and Life Sciences, Gifu University (G-CHAIN), Gifu, Japan
| | - Yuji Taniguchi
- Department of Veterinary Medicine, Faculty of Applied Biological Sciences, Gifu University, Yanagido, Gifu, Japan
| | - Masaki Takasu
- Department of Veterinary Medicine, Faculty of Applied Biological Sciences, Gifu University, Yanagido, Gifu, Japan
| | - Hiroo Madarame
- Laboratory of Small Animal Clinics, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa, Japan
| | - Fujiko Sunaga
- Department of Veterinary Medicine, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa, Japan
| | - Hiroshi Aoki
- Faculty of Veterinary Science, Nippon Veterinary and Life Science University, Musashino, Tokyo, Japan
| | - Shinji Makino
- Department of Microbiology and Immunology, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America
| | - Tetsuya Mizutani
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
- * E-mail: (TM); (MN)
| | - Makoto Nagai
- Research and Education Center for Prevention of Global Infectious Disease of Animal, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
- Department of Bioproduction Science, Ishikawa Prefectural University, Nonoichi, Ishikawa, Japan
- * E-mail: (TM); (MN)
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