Biocell最新文献

筛选
英文 中文
Correlations among core species corresponding to the clinical staging of periodontitis 牙周炎临床分期相关核心菌种的相关性
IF 1.2 4区 生物学
Biocell Pub Date : 2023-01-01 DOI: 10.32604/biocell.2023.024948
Qian Zhang, Minger Zhen, Peng Li, X. Chi, Yifei Zhang
{"title":"Correlations among core species corresponding to the clinical staging of periodontitis","authors":"Qian Zhang, Minger Zhen, Peng Li, X. Chi, Yifei Zhang","doi":"10.32604/biocell.2023.024948","DOIUrl":"https://doi.org/10.32604/biocell.2023.024948","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"10 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84697445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Molecular mechanisms and cellular process in signal transduction pathway related to air pollutants in obstructive lung diseases: A mini-review 阻塞性肺疾病中空气污染物信号转导通路的分子机制和细胞过程综述
IF 1.2 4区 生物学
Biocell Pub Date : 2023-01-01 DOI: 10.32604/biocell.2023.028975
A. Jang
{"title":"Molecular mechanisms and cellular process in signal transduction pathway related to air pollutants in obstructive lung diseases: A mini-review","authors":"A. Jang","doi":"10.32604/biocell.2023.028975","DOIUrl":"https://doi.org/10.32604/biocell.2023.028975","url":null,"abstract":"Exposure to air pollutants such as PM10, PM2.5, PM0.1, O3, CO, NO2, and SO2, and biological pollutants are important factors causing the evolution and furtherance of obstructive lung diseases (OLD), including asthma and chronic obstructive pulmonary disease (COPD). Asthma is the most frequent chronic inflammatory airway disease, characterized by breathlessness, wheezing, chest tightness, and cough, together with the presence of exaggerated expiratory airflow fluctuation that varies over time. COPD is a heterogeneous lung condition characterized by chronic respiratory symptoms such as dyspnea, cough, expectoration, and/or exacerbations due to abnormalities of the airways and/or alveoli that cause persistent, often progressive, airflow obstruction. Understanding the molecular mechanisms and cellular processes based on the development of OLD on exposure to air pollutants will provide insights into the solution of pathogenesis, prevention, and treatment of these conditions. The molecular mechanisms and cellular process involved in signal transduction pathway plays a role in the binding of extracellular signaling molecules and ligands to receptors placed on the cell surface or on the inner side cell that trigger inflammation that occurs, especially when something important enters the cell to bring into a cascade response. This binding then alters the cell metabolism, shape, and gene expression in the airway. This review aimed to reveal the effect of air pollutants on the molecular mechanisms and cellular processes involved in the signal transduction pathways in OLD.","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"24 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85678412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of docosahexaenoic acid or arachidonic acid supplementation on the behavior of cardiomyocytes derived from human pluripotent stem cells 补充二十二碳六烯酸或花生四烯酸对人多能干细胞衍生的心肌细胞行为的影响
IF 1.2 4区 生物学
Biocell Pub Date : 2023-01-01 DOI: 10.32604/biocell.2023.028186
{"title":"Effects of docosahexaenoic acid or arachidonic acid supplementation on the behavior of cardiomyocytes derived from human pluripotent stem cells","authors":"","doi":"10.32604/biocell.2023.028186","DOIUrl":"https://doi.org/10.32604/biocell.2023.028186","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"29 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85983591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The microRNA pathway activation in insect cell model upon Autographa californica multiple nucleopolyhedrovirus infection 加州签名虫多核多角体病毒感染昆虫细胞模型中microRNA通路的激活
IF 1.2 4区 生物学
Biocell Pub Date : 2023-01-01 DOI: 10.32604/biocell.2023.026182
Qiaojing Jia, Yu V. Fu
{"title":"The microRNA pathway activation in insect cell model upon Autographa californica multiple nucleopolyhedrovirus infection","authors":"Qiaojing Jia, Yu V. Fu","doi":"10.32604/biocell.2023.026182","DOIUrl":"https://doi.org/10.32604/biocell.2023.026182","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"47 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79266087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN. PSTCNN:使用 PSO 引导的自调整 CNN 进行可解释的 COVID-19 诊断。
IF 0.8 4区 生物学
Biocell Pub Date : 2023-01-01 Epub Date: 2022-11-18 DOI: 10.32604/biocell.2021.0xxx
Wei Wang, Yanrong Pei, Shui-Hua Wang, Juan Manuel Gorrz, Yu-Dong Zhang
{"title":"PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN.","authors":"Wei Wang, Yanrong Pei, Shui-Hua Wang, Juan Manuel Gorrz, Yu-Dong Zhang","doi":"10.32604/biocell.2021.0xxx","DOIUrl":"10.32604/biocell.2021.0xxx","url":null,"abstract":"<p><p>Since 2019, the coronavirus disease-19 (COVID-19) has been spreading rapidly worldwide, posing an unignorable threat to the global economy and human health. It is a disease caused by severe acute respiratory syndrome coronavirus 2, a single-stranded RNA virus of the genus Betacoronavirus. This virus is highly infectious and relies on its angiotensin-converting enzyme 2-receptor to enter cells. With the increase in the number of confirmed COVID-19 diagnoses, the difficulty of diagnosis due to the lack of global healthcare resources becomes increasingly apparent. Deep learning-based computer-aided diagnosis models with high generalisability can effectively alleviate this pressure. Hyperparameter tuning is essential in training such models and significantly impacts their final performance and training speed. However, traditional hyperparameter tuning methods are usually time-consuming and unstable. To solve this issue, we introduce Particle Swarm Optimisation to build a PSO-guided Self-Tuning Convolution Neural Network (PSTCNN), allowing the model to tune hyperparameters automatically. Therefore, the proposed approach can reduce human involvement. Also, the optimisation algorithm can select the combination of hyperparameters in a targeted manner, thus stably achieving a solution closer to the global optimum. Experimentally, the PSTCNN can obtain quite excellent results, with a sensitivity of 93.65%±1.86%, a specificity of 94.32%±2.07%, a precision of 94.30%±2.04%, an accuracy of 93.99%±1.78%, an F1-score of 93.97%±1.78%, Matthews Correlation Coefficient of 87.99%±3.56%, and Fowlkes-Mallows Index of 93.97%±1.78%. Our experiments demonstrate that compared to traditional methods, hyperparameter tuning of the model using an optimisation algorithm is faster and more effective.</p>","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"47 2","pages":"373-384"},"PeriodicalIF":0.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613982/pdf/EMS158588.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10517202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Photodynamic therapy with TBZPy regulates the PI3K/AKT and endoplasmic reticulum stress-related PERK/eIF2α pathways in HeLa cells TBZPy光动力治疗可调节HeLa细胞中PI3K/AKT和内质网应激相关的PERK/eIF2α通路
IF 1.2 4区 生物学
Biocell Pub Date : 2023-01-01 DOI: 10.32604/biocell.2023.028056
Yifan Li, Jing Zhang, Yi-Ming Fan, H. Xiao, Kexin Kang, Yali Zhou, Zhiwen Zhang, Yumin Li, Muzhou Teng
{"title":"Photodynamic therapy with TBZPy regulates the PI3K/AKT and endoplasmic reticulum stress-related PERK/eIF2α pathways in HeLa cells","authors":"Yifan Li, Jing Zhang, Yi-Ming Fan, H. Xiao, Kexin Kang, Yali Zhou, Zhiwen Zhang, Yumin Li, Muzhou Teng","doi":"10.32604/biocell.2023.028056","DOIUrl":"https://doi.org/10.32604/biocell.2023.028056","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"170 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73176412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Phytochemistry and ethnomedicinal qualities of metabolites from Phyllanthus emblica L.: A review 余甘子代谢物的植物化学及民族药性质研究进展
IF 1.2 4区 生物学
Biocell Pub Date : 2023-01-01 DOI: 10.32604/biocell.2023.022065
Vijay Kumar, Praveen C. Ramamurthy, Simranjeet Singh, Daljeet Singh Dhanjal, Parul Parihar, D. Bhatia, R. Prasad, Joginder Singh
{"title":"Phytochemistry and ethnomedicinal qualities of metabolites from Phyllanthus emblica L.: A review","authors":"Vijay Kumar, Praveen C. Ramamurthy, Simranjeet Singh, Daljeet Singh Dhanjal, Parul Parihar, D. Bhatia, R. Prasad, Joginder Singh","doi":"10.32604/biocell.2023.022065","DOIUrl":"https://doi.org/10.32604/biocell.2023.022065","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"132 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74860181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
SW-Net: A novel few-shot learning approach for disease subtype prediction SW-Net:一种用于疾病亚型预测的新颖的少量学习方法
IF 1.2 4区 生物学
Biocell Pub Date : 2023-01-01 DOI: 10.32604/biocell.2023.025865
Yu-Han Ji, Yong Liang, Ziyi Yang, Ning Ai
{"title":"SW-Net: A novel few-shot learning approach for disease subtype prediction","authors":"Yu-Han Ji, Yong Liang, Ziyi Yang, Ning Ai","doi":"10.32604/biocell.2023.025865","DOIUrl":"https://doi.org/10.32604/biocell.2023.025865","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"132 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77418398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SPP1 and the risk score model to improve the survival prediction of patients with hepatocellular carcinoma based on multiple algorithms and back propagation neural networks SPP1和基于多算法和反向传播神经网络的风险评分模型提高肝癌患者的生存预测
IF 1.2 4区 生物学
Biocell Pub Date : 2023-01-01 DOI: 10.32604/biocell.2023.025957
Wenli Zeng, Feng Ling, Kainuo Dang, Qing-xia Chi
{"title":"SPP1 and the risk score model to improve the survival prediction of patients with hepatocellular carcinoma based on multiple algorithms and back propagation neural networks","authors":"Wenli Zeng, Feng Ling, Kainuo Dang, Qing-xia Chi","doi":"10.32604/biocell.2023.025957","DOIUrl":"https://doi.org/10.32604/biocell.2023.025957","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"11 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80986612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
KIF15, a key regulator of nasopharyngeal carcinoma development mediated by the P53 pathway P53通路介导鼻咽癌发展的关键调控因子KIF15
IF 1.2 4区 生物学
Biocell Pub Date : 2023-01-01 DOI: 10.32604/biocell.2023.025280
Yongliwang, S. Qu, Yong Yang, Ying Qin, Fei Liu, Guangwu Huang
{"title":"KIF15, a key regulator of nasopharyngeal carcinoma development mediated by the P53 pathway","authors":"Yongliwang, S. Qu, Yong Yang, Ying Qin, Fei Liu, Guangwu Huang","doi":"10.32604/biocell.2023.025280","DOIUrl":"https://doi.org/10.32604/biocell.2023.025280","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"86 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82424938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信