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Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering最新文献

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Differential Response to the High Doses of Dimethyl Sulfoxide of the Several Human Cancer Cell Lines Cultured in 2D Monolayer, Decellularized Matrix, and 3D Spheroid cell Culture Systems 在二维单层、脱细胞基质和三维球形细胞培养系统中培养的几种人癌细胞对高剂量二甲亚砜的差异反应
Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2020-11-06 DOI: 10.1145/3444884.3444916
E. Skorova, E. Shabalina, D. Chudakova, V. Anikin, I. Reshetov, O. Mynbaev, E. Petersen
{"title":"Differential Response to the High Doses of Dimethyl Sulfoxide of the Several Human Cancer Cell Lines Cultured in 2D Monolayer, Decellularized Matrix, and 3D Spheroid cell Culture Systems","authors":"E. Skorova, E. Shabalina, D. Chudakova, V. Anikin, I. Reshetov, O. Mynbaev, E. Petersen","doi":"10.1145/3444884.3444916","DOIUrl":"https://doi.org/10.1145/3444884.3444916","url":null,"abstract":"When using cell-based models for drug research screening it is of critical importance to validate their applicability and accuracy. Here we report that the patterns of cellular response to high concentrations of DMSO measured with vital dye are cell line-specific and varied in time and type of response for different cell lines and for the same cell line cultures in 2D Monolayer, Decellularized Matrix, or 3D Spheroid cell culture systems. This should be considered at the stage of the experimental design, and for each experiment the more suitable cell culture system should be chosen, based on the characteristics of cellular response to DMSO in this particular system, especially if developing cell-based automated systems for drug screening.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116096219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Novel Linear B-cell Epitope Prediction Method based on Position Entropy of Amino Acids 基于氨基酸位置熵的线性b细胞表位预测新方法
Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2020-11-06 DOI: 10.1145/3444884.3444913
Hongguang Yang, Bin Cheng, Ling-yun Liu
{"title":"A Novel Linear B-cell Epitope Prediction Method based on Position Entropy of Amino Acids","authors":"Hongguang Yang, Bin Cheng, Ling-yun Liu","doi":"10.1145/3444884.3444913","DOIUrl":"https://doi.org/10.1145/3444884.3444913","url":null,"abstract":"Epitope prediction plays an important role in diagnosis, treatment of diseases and the development of antibodies. Recently, many machine learning algorithms and new strategies have been used to predict the B-Cell epitopes. However, the performance of epitope prediction is still not satisfactory. We propose the method of Linear B-cell epitope prediction base on the position entropy of amino acids and long and short-term memory (LSTM) network. We design three sets of experiments to verify the effectiveness of the model. The result of experiments indicates that the accuracy of our method can reach to 88.94%. The result also show that the position entropy of amino acids is an effective feature in B-cell epitope prediction.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129541309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Whole View of Therapies for Breast Cancer 乳腺癌治疗的整体观点
Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2020-11-06 DOI: 10.1145/3444884.3444918
C. Jie
{"title":"The Whole View of Therapies for Breast Cancer","authors":"C. Jie","doi":"10.1145/3444884.3444918","DOIUrl":"https://doi.org/10.1145/3444884.3444918","url":null,"abstract":"Breast cancer is a leading cause of death in women, influencing on 1.7 million patients every year in the whole world. So regarding to the treatments of the breast cancer it is very important to summarize and review. Although there are many treatments to the breast cancer, the comparison among these were not addressed. In this review, we did a comprehensive literature research and summarized treatments for breast cancer, especially going through the popular therapy for human breast cancer, analyzing the clinical trial data and the adverse effect of the way. We all know breast cancer contains many subtypes and we summarized the treatments in terms of different cancer subtypes.A deep understanding of human breast cancer could bring a better effect of curing the disease, based on the known therapies we also predicted the future directions of the treatments for human breast cancer, which potentially showed a great achievements in breast cancer treatment.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123145332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
BIN1 Isoform 1 has Less Function in Promoting the Stability of TAT System in Adult Rat Cardiomyocytes BIN1异构体1在促进成年大鼠心肌细胞TAT系统稳定性中的作用较小
Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2020-11-06 DOI: 10.1145/3444884.3444898
Haolin Zheng
{"title":"BIN1 Isoform 1 has Less Function in Promoting the Stability of TAT System in Adult Rat Cardiomyocytes","authors":"Haolin Zheng","doi":"10.1145/3444884.3444898","DOIUrl":"https://doi.org/10.1145/3444884.3444898","url":null,"abstract":"The process of heart electrical excitation to contraction is called excitation-contraction coupling, which is important for heart to propel blood out. Transverse-axial-tubule (TAT) system in Ventricular myocyte, including classic transverse tubules (TTs) and axial tubules (ATs), is complex tubular structure formed by invaginations of sarcolemma. During many heart diseases, such as arrhythmia, hypertrophy and heart failure, TAT system become disordered which affecting the efficiency of E-C coupling. In heart cell, membrane shape regulation is important for many cellular functions. According to literature report Bin/Amphyiphysin/Rvs (BAR) domain-containing proteins play important role in membrane remodeling during the basic cell life activities such as endocytosis, cell migration, and endosomal sorting. In striated muscle, BIN1 is assumed to be very important palyer in inducing cytomembrane invagination to form the TAT system. BIN1 mutations and misregulation of splicing cause diseases in skeletal muscle and brain, and cardiac isoform of BIN1 (BIN1+13+17 or cBIN1) is known to organize cardiac TT microdomains, but the role of other BIN1 isoforms in heart remains elusive. We are curious about the role of BIN1 isoform 1 and whether it can maintain or promote TAT system stability in cultured adult myocytes. So we transfected adult rat cardiomyocytes with adenovirus of DsRed-BIN1 isoform 1. The results showed that overexpression of BIN1 isoform 1 didn't show a significant positive effect on maintaining or promoting the stability of TAT system in adult cardiomyocytes","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122920167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Factors Affecting the Proliferation Ability of Cardiomyocytes 影响心肌细胞增殖能力的因素
Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2020-11-06 DOI: 10.1145/3444884.3444911
J. Tan
{"title":"Factors Affecting the Proliferation Ability of Cardiomyocytes","authors":"J. Tan","doi":"10.1145/3444884.3444911","DOIUrl":"https://doi.org/10.1145/3444884.3444911","url":null,"abstract":"Heart disease is a highly lethal disease that causes a large number of deaths worldwide every year. When heart disease happened, it will cause the death of a large number of cardiomyocytes. Because of the proliferation capacity of mammalian cardiomyocytes is limited, it's unable for cardiomyocytes to compensate the damage through their own proliferation, resulting in severe damage to the heart function, and ultimately leading to death. Therefore, how to improve the proliferation of cardiomyocytes during the occurrence of heart disease has become a key issue in the study of heart disease. In this review, we discuss the factors that affect the proliferative ability of cardiomyocytes, namely, oxygen concentration, and transcription factors, so as to contribute to the treatment of heart diseases.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131809828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Recent Insights into Proteomics in Plant Pathology 植物病理学中蛋白质组学研究进展
Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2020-11-06 DOI: 10.1145/3444884.3444907
Shiyu Lin
{"title":"Recent Insights into Proteomics in Plant Pathology","authors":"Shiyu Lin","doi":"10.1145/3444884.3444907","DOIUrl":"https://doi.org/10.1145/3444884.3444907","url":null,"abstract":"In this review we examine current proteomic approaches used for studies about plant-pathogen interactions. The proteomic analysis has been greatly developed in recent years, and rapid advances are widely discussed. Proteomic date provides the quantitative and qualitative information about resistance-related proteins during plant-pathogen interaction. By studying these differentially expressed proteins, we can better understand the relationship between these proteins and biological resistance. Proteomic studies provide a strategy for studying plant- pathogen interactions and make significant progress in the study of model plants and major crops. Therefore, the search for resistance-related genes or proteins can provide comprehensive information on the physiological response and regulatory mechanisms, which will in turn provide opportunities to improve plant resistance.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128263744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Study of Voice Pathology Detection based on MFCC and SVM 基于MFCC和SVM的语音病理检测研究
Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2020-11-06 DOI: 10.1145/3444884.3444890
Yipeng Niu, Jiaming Cao, Fei Shen, Pengling Ren
{"title":"The Study of Voice Pathology Detection based on MFCC and SVM","authors":"Yipeng Niu, Jiaming Cao, Fei Shen, Pengling Ren","doi":"10.1145/3444884.3444890","DOIUrl":"https://doi.org/10.1145/3444884.3444890","url":null,"abstract":"Subjective auditory perception evaluation of voice is the most simple and direct method for judgment of the degree of voice lesions and the treatment effect. But it is closely related to the clinical experience of doctors. Recently, some voice automatic diagnosis methods based on voice feature parameters and classification algorithms have been proposed. Mel Frequency Cepstral Coefficient (MFCC) is the most commonly used feature parameter. However, it is not clear the role of MFCC dynamic features in improving diagnosis results. This study adopted the features of MFCC, MFCC + ΔMFCC, and MFCC + ΔMFCC + ΔΔMFCC respectively, combined with the Support Vector Machine (SVM) method to further determine whether adding dynamic MFCC features can improve the accuracy of pathological voice detection. The results showed that no matter whether dynamic features were added or not, the accuracy rate and specificity have not changed significantly. This means the dynamic change of the MFCC characteristic parameters is slight at least for vowel vocalization. This study may provide useful information for pathological voice diagnosis based on vowel vocalization.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"325 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123658490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Dynamic Functional Connectivity and Graph Convolution Network for Alzheimer's Disease Classification 动态功能连接与图卷积网络在阿尔茨海默病分类中的应用
Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2020-06-24 DOI: 10.1145/3444884.3444885
X. An, Yutao Zhou, Yang Di, Dong Ming
{"title":"Dynamic Functional Connectivity and Graph Convolution Network for Alzheimer's Disease Classification","authors":"X. An, Yutao Zhou, Yang Di, Dong Ming","doi":"10.1145/3444884.3444885","DOIUrl":"https://doi.org/10.1145/3444884.3444885","url":null,"abstract":"Alzheimer's disease (AD) is the most prevalent form of dementia. Traditional methods cannot achieve efficient and accurate diagnosis of AD. This paper introduces a novel method based on dynamic functional connectivity (dFC) that can effectively capture changes in the brain. We compare and combine four different types of features including amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), dFC and the adjacency matrix of different brain structures between subjects. We use graph convolution network (GCN) which consider the similarity of brain structure between patients to solve the classification problem of non-Euclidean domains. The proposed method's accuracy and the area under the receiver operating characteristic curve achieved 91.3% and 98.4%. This result demonstrated that our proposed method can be used for detecting AD.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114940666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
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