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Article: Editorial: Biological Phase Separation.

Mori, Eiichiro / Jia, Tony Z

2022 Volume 13, Page(s) 895689

Language	English
Publishing date	2022-04-13
Publishing country	Switzerland
Document type	Editorial
ZDB-ID	2606823-0
ISSN	1664-8021
ISSN	1664-8021
DOI	10.3389/fgene.2022.895689
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: New insights into the characteristic flavor components of traditional sour beers such as Lambic and Flanders Red Ale beers.

Onishi, Kyoya / Furuno, Masahiro / Mori, Asuka / Fukusaki, Eiichiro

Journal of bioscience and bioengineering

2024

Abstract: In recent years, the demand for beers with a variety of flavors has increased considerably owing to the diversification of consumer preferences. Sour beer is characterized by a sour taste unlike normal beer flavor, and previous studies on sour beer have ... ...

Abstract	In recent years, the demand for beers with a variety of flavors has increased considerably owing to the diversification of consumer preferences. Sour beer is characterized by a sour taste unlike normal beer flavor, and previous studies on sour beer have been primarily focused on addressing issues, such as inconsistent product quality and long production time, and on the associated microorganisms. Scientific knowledge regarding the characteristic flavor of sour beer and flavor components is limited. Therefore, in this study, we aimed to clarify the characteristic sensory attributes of sour beer and the component profiles that explain these attributes. Component analysis was performed on 10 traditional sour beers (eight Flanders Red Ales and two Lambics), using untargeted gas chromatography-mass spectrometry with liquid-liquid extraction, liquid chromatography-mass spectrometry targeting amines and anionic compounds. Further, sensory evaluation was conducted by well-trained panelists via quantitative descriptive analysis. Orthogonal partial least squares regression analysis was also conducted to investigate candidate flavor components. Thus, 261 components were identified and our methods could explain the flavor attributes of the examined samples. Comprehensive component profiling data also showed that differences in fermentation method, barrel aging duration, and blending ratio affected beer flavor. Further, Lambics were found to be characterized by citrus and phenolic aroma, while Flanders Red Ales were characterized by solvent-like aroma, sourness complexity, full bodied, graininess, astringency, and bitterness. These findings may serve as a basis for addressing issues related to sour beer production and may facilitate process design for obtaining targeted sour beer flavors.
Language	English
Publishing date	2024-04-22
Publishing country	Japan
Document type	Journal Article
ZDB-ID	1465387-4
ISSN	1347-4421 ; 1389-1723
ISSN (online)	1347-4421
ISSN	1389-1723
DOI	10.1016/j.jbiosc.2024.04.002
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Article ; Online: [Biological phase separation in neuromuscular diseases].

Isozumi, Noriyoshi / Sugie, Kazuma / Mori, Eiichiro

Rinsho shinkeigaku = Clinical neurology

2023 Volume 63, Issue 12, Page(s) 799–805

Abstract: Biological phase separation refers to the liquid-liquid phase separation of biomolecules such as proteins in cells. Phase separation is driven by low-complexity domains of phase-separating proteins and strictly controlled by regulatory factors. Phase ... ...

Abstract	Biological phase separation refers to the liquid-liquid phase separation of biomolecules such as proteins in cells. Phase separation is driven by low-complexity domains of phase-separating proteins and strictly controlled by regulatory factors. Phase separation has also been found to be disrupted by genetic abnormalities. Abnormal aggregates of causative proteins accumulate in many neuromuscular diseases. In recent years, it has become clear that phase separating proteins are associated with neuromuscular diseases, and that abnormalities in the regulation of phase separation leads to the formation of aggregates. Gains in our knowledge of biological phase separation is gradually elucidating the pathogenesis of neuromuscular diseases.
MeSH term(s)	Humans ; Phase Separation ; Neuromuscular Diseases
Language	Japanese
Publishing date	2023-11-22
Publishing country	Japan
Document type	English Abstract ; Journal Article
ZDB-ID	604200-4
ISSN	1882-0654 ; 0009-918X
ISSN (online)	1882-0654
ISSN	0009-918X
DOI	10.5692/clinicalneurol.cn-001877
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Article ; Online: Unique Binding Sites of Uricosuric Agent Dotinurad for Selective Inhibition of Renal Uric Acid Reabsorptive Transporter URAT1

Fujita, Kazuki / Isozumi, Noriyoshi / Zhu, Qiunan / Matsubayashi, Masaya / Taniguchi, Tetsuya / Arakawa, Hiroshi / Shirasaka, Yoshiyuki / Mori, Eiichiro / Tamai, Ikumi

The Journal of pharmacology and experimental therapeutics

2024

Abstract: Dotinurad was developed as a uricosuric agent, inhibiting urate (UA) reabsorption through the UA transporter URAT1 in the kidneys. Due to its high selectivity for URAT1 among renal UA transporters, we investigated the mechanism underlying this ... ...

Abstract	Dotinurad was developed as a uricosuric agent, inhibiting urate (UA) reabsorption through the UA transporter URAT1 in the kidneys. Due to its high selectivity for URAT1 among renal UA transporters, we investigated the mechanism underlying this selectivity by identifying dotinurad binding sites specific to URAT1. Dotinurad was docked to URAT1 using AutoDock4, utilizing the AlphaFold2-predicted structure. The inhibitory effects of dotinurad on wild-type and mutated URAT1 at the predicted binding sites were assessed through URAT1-mediated [
Language	English
Publishing date	2024-04-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	3106-9
ISSN	1521-0103 ; 0022-3565
ISSN (online)	1521-0103
ISSN	0022-3565
DOI	10.1124/jpet.124.002096
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Article ; Online: Profiling volatile compounds from culture supernatants of periodontal bacteria using gas chromatography/mass spectrometry/olfactometry analysis with a monolithic silica gel adsorption device.

Mori, Asuka / Taniguchi, Moyu / Kuboniwa, Masae / Amano, Atsuo / Fukusaki, Eiichiro

Journal of bioscience and bioengineering

2022 Volume 134, Issue 1, Page(s) 77–83

Abstract: Halitosis is formed mainly by the volatile compounds produced by periodontal bacteria. Three volatile sulfur compounds (VSCs), hydrogen sulfide, methanethiol, and dimethyl sulfide, have attracted attention as major components of halitosis. However, these ...

Abstract	Halitosis is formed mainly by the volatile compounds produced by periodontal bacteria. Three volatile sulfur compounds (VSCs), hydrogen sulfide, methanethiol, and dimethyl sulfide, have attracted attention as major components of halitosis. However, these compounds cannot account for all odors. In this study, we profiled volatile compounds from the culture supernatants of periodontal bacteria using gas chromatography/mass spectrometry/olfactometry analysis with a monolithic silica gel adsorption device to investigate the potential odorous compounds. Periodontal bacteria have been found to produce volatile compounds belonging to various classes, such as alcohols, ketones, fatty acids, and aromatic compounds, in addition to VSCs. In addition, VSCs different from hydrogen sulfide and methanethiol, which are considered important causative compounds, may also influence to halitosis.
MeSH term(s)	Adsorption ; Bacteria ; Gas Chromatography-Mass Spectrometry ; Halitosis/microbiology ; Humans ; Hydrogen Sulfide/analysis ; Odorants/analysis ; Olfactometry ; Silica Gel ; Sulfur Compounds/analysis ; Volatile Organic Compounds/analysis
Chemical Substances	Sulfur Compounds ; Volatile Organic Compounds ; Silica Gel (60650-90-0) ; Hydrogen Sulfide (YY9FVM7NSN)
Language	English
Publishing date	2022-04-26
Publishing country	Japan
Document type	Journal Article
ZDB-ID	1465387-4
ISSN	1347-4421 ; 1389-1723
ISSN (online)	1347-4421
ISSN	1389-1723
DOI	10.1016/j.jbiosc.2022.04.002
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Article: Deep learning system for distinguishing between nasopalatine duct cysts and radicular cysts arising in the midline region of the anterior maxilla on panoramic radiographs.

Kise, Yoshitaka / Kuwada, Chiaki / Mori, Mizuho / Fukuda, Motoki / Ariji, Yoshiko / Ariji, Eiichiro

Imaging science in dentistry

2023 Volume 54, Issue 1, Page(s) 33–41

Abstract: Purpose: The aims of this study were to create a deep learning model to distinguish between nasopalatine duct cysts (NDCs), radicular cysts, and no-lesions (normal) in the midline region of the anterior maxilla on panoramic radiographs and to compare ... ...

Abstract	Purpose: The aims of this study were to create a deep learning model to distinguish between nasopalatine duct cysts (NDCs), radicular cysts, and no-lesions (normal) in the midline region of the anterior maxilla on panoramic radiographs and to compare its performance with that of dental residents. Materials and methods: One hundred patients with a confirmed diagnosis of NDC (53 men, 47 women; average age, 44.6±16.5 years), 100 with radicular cysts (49 men, 51 women; average age, 47.5±16.4 years), and 100 with normal groups (56 men, 44 women; average age, 34.4±14.6 years) were enrolled in this study. Cases were randomly assigned to the training datasets (80%) and the test dataset (20%). Then, 20% of the training data were randomly assigned as validation data. A learning model was created using a customized DetectNet built in Digits version 5.0 (NVIDIA, Santa Clara, USA). The performance of the deep learning system was assessed and compared with that of two dental residents. Results: The performance of the deep learning system was superior to that of the dental residents except for the recall of radicular cysts. The areas under the curve (AUCs) for NDCs and radicular cysts in the deep learning system were significantly higher than those of the dental residents. The results for the dental residents revealed a significant difference in AUC between NDCs and normal groups. Conclusion: This study showed superior performance in detecting NDCs and radicular cysts and in distinguishing between these lesions and normal groups.
Language	English
Publishing date	2023-12-13
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	2631801-5
ISSN	2233-7830 ; 2233-7822
ISSN (online)	2233-7830
ISSN	2233-7822
DOI	10.5624/isd.20230169
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Article ; Online: Automatic visualization of the mandibular canal in relation to an impacted mandibular third molar on panoramic radiographs using deep learning segmentation and transfer learning techniques.

Ariji, Yoshiko / Mori, Mizuho / Fukuda, Motoki / Katsumata, Akitoshi / Ariji, Eiichiro

Oral surgery, oral medicine, oral pathology and oral radiology

2022 Volume 134, Issue 6, Page(s) 749–757

Abstract: Objective: The aim of this study was to create and assess a deep learning model using segmentation and transfer learning methods to visualize the proximity of the mandibular canal to an impacted third molar on panoramic radiographs.: Study design: ... ...

Abstract	Objective: The aim of this study was to create and assess a deep learning model using segmentation and transfer learning methods to visualize the proximity of the mandibular canal to an impacted third molar on panoramic radiographs. Study design: The panoramic radiographs containing the mandibular canal and impacted third molar were collected from 2 hospitals (Hospitals A and B). A total of 3200 areas were used for creating and evaluating learning models. A source model was created using the data from Hospital A, simulatively transferred to Hospital B, and trained using various amounts of data from Hospital B to create target models. The same data were then applied to the target models to calculate the Dice coefficient, Jaccard index, and sensitivity. Results: The performance of target models trained using 200 or more data sets was equivalent to that of the source model tested using data obtained from the same hospital (Hospital A). Conclusions: Sufficiently qualified models could delineate the mandibular canal in relation to an impacted third molar on panoramic radiographs using a segmentation technique. Transfer learning appears to be an effective method for creating such models using a relatively small number of data sets.
MeSH term(s)	Humans ; Deep Learning ; Mandibular Canal/diagnostic imaging ; Molar, Third/diagnostic imaging ; Radiography, Panoramic ; Tooth, Impacted/diagnostic imaging ; Radiography, Dental, Digital
Language	English
Publishing date	2022-06-05
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2650843-6
ISSN	2212-4411 ; 2212-4403
ISSN (online)	2212-4411
ISSN	2212-4403
DOI	10.1016/j.oooo.2022.05.014
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Article ; Online: Nuclear Foci Assays in Live Cells.

Mori, Eiichiro / Asaithamby, Aroumougame

Methods in molecular biology (Clifton, N.J.)

2019 Volume 1984, Page(s) 75–85

Abstract: DNA double strand breaks (DSBs) are a serious threat to genome stability and cell viability. Accurate detection of DSBs is critical for the basic understanding of cellular response to ionizing radiation. Recruitment and retention of DNA repair and ... ...

Abstract	DNA double strand breaks (DSBs) are a serious threat to genome stability and cell viability. Accurate detection of DSBs is critical for the basic understanding of cellular response to ionizing radiation. Recruitment and retention of DNA repair and response proteins at DSBs can be conveniently visualized by fluorescence imaging (often called ionizing radiation-induced foci) both in live and fixed cells. In this chapter, we describe a live cell imaging methodology that directly monitors induction and repair of single DSB, recruitment kinetics of DSB repair/sensor factors to DSB sites, and dynamic interaction of DSB repair/sensor proteins with DSBs at single-cell level. Additionally, the methodology described in this chapter can be readily adapted to other DSBs repair/sensor factors and cell types.
MeSH term(s)	Biological Assay/methods ; Cell Line, Tumor ; Cell Nucleus/metabolism ; Cell Survival ; DNA Breaks, Double-Stranded ; DNA Damage ; DNA Repair ; Fluorescence Recovery After Photobleaching ; Humans ; Kinetics ; Tumor Suppressor p53-Binding Protein 1/metabolism
Chemical Substances	Tumor Suppressor p53-Binding Protein 1
Language	English
Publishing date	2019-07-03
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ISSN	1940-6029
ISSN (online)	1940-6029
DOI	10.1007/978-1-4939-9432-8_9
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Article: Profiling volatile compounds from culture supernatants of periodontal bacteria using gas chromatography/mass spectrometry/olfactometry analysis with a monolithic silica gel adsorption device

Mori, Asuka / Taniguchi, Moyu / Kuboniwa, Masae / Amano, Atsuo / Fukusaki, Eiichiro

Journal of bioscience and bioengineering. 2022 Apr. 06,

2022

Abstract	Halitosis is formed mainly by the volatile compounds produced by periodontal bacteria. Three volatile sulfur compounds (VSCs), hydrogen sulfide, methanethiol, and dimethyl sulfide, have attracted attention as major components of halitosis. However, these compounds cannot account for all odors. In this study, we profiled volatile compounds from the culture supernatants of periodontal bacteria using gas chromatography/mass spectrometry/olfactometry analysis with a monolithic silica gel adsorption device to investigate the potential odorous compounds. Periodontal bacteria have been found to produce volatile compounds belonging to various classes, such as alcohols, ketones, fatty acids, and aromatic compounds, in addition to VSCs. In addition, VSCs different from hydrogen sulfide and methanethiol, which are considered important causative compounds, may also influence to halitosis.
Keywords	adsorption ; dimethyl sulfide ; halitosis ; hydrogen sulfide ; methanethiol ; olfactometry ; silica gel ; sulfur
Language	English
Dates of publication	2022-0406
Publishing place	Elsevier B.V.
Document type	Article
Note	Pre-press version
ZDB-ID	1465387-4
ISSN	1347-4421 ; 1389-1723
ISSN (online)	1347-4421
ISSN	1389-1723
DOI	10.1016/j.jbiosc.2022.04.002
Database	NAL-Catalogue (AGRICOLA)

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Article: Differences in the panoramic appearance of cleft alveolus patients with or without a cleft palate.

Fujii, Takeshi / Kuwada, Chiaki / Kise, Yoshitaka / Fukuda, Motoki / Mori, Mizuho / Nishiyama, Masako / Nozawa, Michihito / Naitoh, Munetaka / Ariji, Yoshiko / Ariji, Eiichiro

Imaging science in dentistry

2023 Volume 54, Issue 1, Page(s) 25–31

Abstract: Purpose: The purpose of this study was to clarify the panoramic image differences of cleft alveolus patients with or without a cleft palate, with emphases on the visibility of the line formed by the junction between the nasal septum and nasal floor (the ...

Abstract	Purpose: The purpose of this study was to clarify the panoramic image differences of cleft alveolus patients with or without a cleft palate, with emphases on the visibility of the line formed by the junction between the nasal septum and nasal floor (the upper line) and the appearances of the maxillary lateral incisor. Materials and methods: Panoramic radiographs of 238 patients with cleft alveolus were analyzed for the visibility of the upper line, including clear, obscure or invisible, and the appearances of the maxillary lateral incisor, regarding congenital absence, incomplete growth, delayed eruption and medial inclination. Differences in the distribution ratio of these visibility and appearances were verified between the patients with and without a cleft palate using the chi-square test. Results: There was a significant difference in the visibility distribution of the upper line between the patients with and without a cleft palate (p<0.05). In most of the patients with a cleft palate, the upper line was not observed. In the unilateral cleft alveolus patients, the medial inclination of the maxillary lateral incisor was more frequently observed in patients with a cleft palate than in patients without a cleft palate. Conclusion: Two differences were identified in panoramic appearances. The first was the disappearance (invisible appearance) of the upper line in patients with a cleft palate, and the second was a change in the medial inclination on the affected side maxillary lateral incisor in unilateral cleft alveolus patients with a cleft palate.
Language	English
Publishing date	2023-12-13
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	2631801-5
ISSN	2233-7830 ; 2233-7822
ISSN (online)	2233-7830
ISSN	2233-7822
DOI	10.5624/isd.20230159
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