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

{"title":"Ramiprilat Effects on Endothelial Progenitor Cells Migration is Increased by Human Umbilical Cord Blood-Mesenchymal Stem Cells derived Secretome","authors":"Y. Oktaviono, I. A. Isaridha, F. Sandra, A. Lefi, A. Subagjo","doi":"10.1145/3444884.3444914","DOIUrl":"https://doi.org/10.1145/3444884.3444914","url":null,"abstract":"Endothelial progenitor cells (EPCs) have a critical role in angiogenesis and vasculogenesis of coronary artery disease (CAD) patients. Secretome of human Umbilical Cord Blood-Mesenchymal Stem Cell (hUCB-MSCs) can promote neovascularization. Ramiprilat is an active metabolite of ramipril that has shown benefit in cardiovascular disease. The effect of hUCB-MSCs-derived secretome alone or combination with ramiprilat on EPCs migration is not yet elucidated. This study aimed to identify the effect of hUCB- MSC derived secretome and its combination with ramiprilat on EPCs migration. EPCs were collected from peripheral blood of CAD patient and cultured in the Stemline II medium. Cultured EPCs were then divided into groups of control, ramiprilat 10 μmol, hUCB-MSCs derived secretome (2%, 10%, and 20%), and its combination. The migration of EPCs was assessed using a Boyden chamber assay. Ramiprilat and hUCB-MSCs-derived secretome at all doses increase EPCs migration in dose-dependent manner. Combination of hUCB-MSCs-derived secretome at dose 10% and 20% and ramiprilat significantly increase migrated cells compared to ramiprilat only and secretome only group (p<0.001). In conclusion, hUCB-MSCs-derived secretome and ramiprilat enhance EPCs migration and combination of those two substances furtherly increased the migrated cells. hUCB-MSCs-derived secretome has the potential as regenerative treatment for CAD patients.","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":"130687912","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}

{"title":"Effective Evaluation of Clustering Algorithms on Single-Cell CNA data","authors":"M. Montemurro, Gianvito Urgese, Elena Grassi, C. Pizzino, A. Bertotti, E. Ficarra","doi":"10.1145/3444884.3444886","DOIUrl":"https://doi.org/10.1145/3444884.3444886","url":null,"abstract":"Clustering methods are increasingly applied to single-cell DNA sequencing (scDNAseq) data to infer the subclonal structure of cancer. However, the complexity of these data exacerbates some data-science issues and affects clustering results. Additionally, determining whether such inferences are accurate and clusters recapitulate the real cell phylogeny is not trivial, mainly because ground truth information is not available for most experimental settings. Here, by exploiting simulated sequencing data representing known phylogenies of cancer cells, we propose a formal and systematic assessment of well-known clustering methods to study their performance and identify the approach providing the most accurate reconstruction of phylogenetic relationships.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"21 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":"132601900","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}

{"title":"Optimization of Acoustic Noise for Single-Shot Echo-Planar Imaging by Varying Echo Spacing","authors":"Zhenliang Lin, Qikang Li, Rui Wang, Guobin Li, Jie Luo","doi":"10.1145/3444884.3444895","DOIUrl":"https://doi.org/10.1145/3444884.3444895","url":null,"abstract":"Single-shot echoplanar imaging (EPI) sequence is a commonly-used readout scheme for functional magnetic resonance imaging (fMRI). It acquires signal in a short period of time with loud acoustic noise, which could cause discomfort for patients and even pose risk for sensitive populations, as well as confound auditory fMRI studies. Though a variety of attempts have been made toward quiet EPI scans, none has considered both the noise level and the timbre. In this study, we investigated the effect of varying echo spacing and modified gradient waveform on sound pressure level and noise spectral entropy. We then used genetic algorithm to optimize both sound pressure level and spectral entropy for single-shot EPI sequence by varying the duration of each readout unit with a sinusoidal waveform, changing the timbre significantly with increased entropy and reduced loudness. The resulting image quality were also compared with images obtained by standard EPI sequence.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"3 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":"130505328","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}

{"title":"Towards Data-Driven Modelling of Sumoylation Following Heat Shock","authors":"Manyu Zhang, Yifei Zhang, Alice Zhao, Chun Guo, Lingzhong Guo","doi":"10.1145/3444884.3444888","DOIUrl":"https://doi.org/10.1145/3444884.3444888","url":null,"abstract":"Understanding how cell fate is determined when exposed to extreme stresses such as heat shock is critical in biomedical systems. It has long been understood that exposure of cells to high temperature typically protect themselves with a heat shock response (HSR), where accumulation of denatured or unfolded proteins triggers the synthesis of heat shock proteins (HSPs) through the heat shock transcription factor, e.g., heat shock factor 1 (HSF1). Recent experimental work has also shown that protein posttranslational modifications (PTMs) such as SUMOylation play crucial roles in cellular responses to heat shock. As a complementary approach to the current experimental methodologies, in this study we aim to develop a mathematical model of SUMOylation-development synergism of HSR for the purpose of studying the dynamical behaviour of HSR quantitatively. The structure of our dynamical model is derived mostly from mass action kinetics while the model parameters are optimized by using a genetic algorithm (GA) based data-driven approach. The preliminary results show GA based data-driven approach has potentials for our modelling purpose.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"10 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":"123207916","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}

{"title":"Development and Application of CRISPR-Mediated Genetic Screening in Oncology","authors":"Wanji Li","doi":"10.1145/3444884.3444909","DOIUrl":"https://doi.org/10.1145/3444884.3444909","url":null,"abstract":"Abstract: Clustered regularly interspaced short palindromic repeats (CRISPR) is a powerful tool for gene editing. Moreover, it can also be applied to genetic screening to investigate various biological activities for its high efficiency and throughput. The common procedure of CRISPR-mediated genetic screening includes the identification of genes of interest, the construction of sgRNA library, the transduction of sgRNA library on expression vector into target hosts, and the following data analysis. CRISPR-mediated genetic screening would further develop, employing various Cas protein and regulating diverse life process. This review article summarizes the development of CRISPR, the common procedure of CRISPR-mediated genetic screening, and the future applications.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"37 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":"125423225","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}

{"title":"A Molecular View of Coronavirus Disease-2019 (COVID-19)","authors":"Chenkai Jiang","doi":"10.1145/3444884.3444908","DOIUrl":"https://doi.org/10.1145/3444884.3444908","url":null,"abstract":"This article reviews the research progress of the spike protein of the virus SARS-CoV-2 that causes COVID-19, including the gene sequence and protein sequence encoding the spike protein, as well as its secondary and tertiary structure through bioinformatics tools. The sequence similarlity comparsion results show that the spike protein has many homologous proteins and the highest similarity is SPIKE_Bat SARS-like CoV, which was also a spike glycoprotein from Bats.Secondary structure prediction shows that the sequence from position 1196 to 1218 occurs across the membrane and the protein has a several secondary domains which are potentially helpful for the virus to infect host cells ; Next, we found that the spike glycoprotein is predicted as a trimer which is extremely useful to bind the ACE2. In addition, this review also summarized the monoclonal antibody drugs targeting the spike protein, as well as several small molecule drugs, and made a comprehensive view for the treatment of COVID-19.","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":"131100692","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}

{"title":"Using Hidden Markov Model for Identification Based on EEG Signals","authors":"Wenxiao Zhong, X. An, Yang Di, Lixin Zhang, Dong Ming","doi":"10.1145/3444884.3444889","DOIUrl":"https://doi.org/10.1145/3444884.3444889","url":null,"abstract":"The researches on individual identification approaches based on EEG signals draw lots of attention in recent years. Few of them got time-robust identification performance. In this study, we focused on the time robustness of individual identification using EEG under conditions of resting-state of eye open/closed (REO/REC). Ten subjects participated in this study and each of them conducted three independent runs experiment, with the time intervals between adjacent runs were at least two weeks. There were three sessions within each run, and the time duration of each session is 150 seconds of REO/REC. Two features, auto-regressive (AR) and Mel-frequency cepstrum coefficients (MFCC) were calculated as identity features. Then Support vector machines (SVM) and Hidden Markov model (HMM) were used as classifiers. To access the time-robust performance of our methods, we used one of three runs data as test set and the other two as training set. Results show that the best classification accuracy is 80%. It is believed that under the conditions of REC and REO, the identity features of most subjects are robust across time and can be used for identification. This study will have an important impact on in EEG-based identification system.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"18 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":"117220635","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}

{"title":"Overview of Alzheimer's Disease","authors":"W. Mao","doi":"10.1145/3444884.3444900","DOIUrl":"https://doi.org/10.1145/3444884.3444900","url":null,"abstract":"Alzheimer's disease is a neurodegenerative disease that is more widespread worldwide, but there is currently no corresponding drug that can be effectively treated. The clinical phenomena of Alzheimer's disease mainly include memory disorders, cognitive disorders, language disorders and so on. There are many pathogeneses of Alzheimer's disease, such as Aβ toxicity theory, abnormal Tau protein metabolism, cholinergic theory, neuroinflammation theory, etc., but the most important theory is Aβ toxicity theory. In this paper, through the study of galanin, morphine, GABA and VEGF, it was found that the drug protects the brain cells and neurons by protecting Aβ neurotoxicity and reducing the apoptosis rate of cells. Although the above drugs can play a protective role in Aβ neurotoxicity, the treatment of clinical conditions specific to Alzheimer's disease needs further research. This article provides constructive suggestions for the research on the treatment of Alzheimer's disease.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"156 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":"115688756","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}

{"title":"The impact of two scatter correction methods on I-131 AC-SPECT images using an anthropomorphic phantom with variable sizes of thyroid remnants","authors":"A. Hadjiconstanti, Konstantinos Michael, T. Leontiou, A. Lontos, S. Frangos, G. Demosthenous, M. Lyra, Y. Parpottas","doi":"10.1145/3444884.3444894","DOIUrl":"https://doi.org/10.1145/3444884.3444894","url":null,"abstract":"Differentiated thyroid cancer treatment typically involves surgical removal of the whole or the largest part of the thyroid gland and a subsequent radioiodine therapy. It is important in diagnostic postsurgical SPECT/CT imaging to provide information on the actual presence and sizes of thyroid remnants. The aim of this work is to assess the impact of two scatter correction methods, the dual energy window (DEW) and the triple energy window (TEW), on the quality of the I-131 SPECT/CT images. Acquisitions were performed using an anthropomorphic neck-thyroid phantom with two thyroid remnants of 1.5 and 3 mL. Activity could be injected in the remnants and the background area. For the first set of acquisitions, the counts in each thyroid remnant from the non-scatter (NSC) and scatter corrected (DEW and TEW) attenuation corrected SPECT (AC-SPECT) images for different administered activity were calculated. For the second set of acquisitions, the image quality in terms of Contrast-to-Noise (CNR), Signal-to-Noise (SNR) ratios and Noise from the NSC, DEW and TEW corrected images were calculated for different remnants-to-background activity ratios. The DEW scatter correction method removed more photons than the TEW one. Even though both scatter correction methods improved image quality, especially for lower background activities and for higher volumes of remnants, this improvement is more profound when applying the TEW method. In addition, two experienced nuclear medicine physicians in a visual evaluation, without having a prior knowledge on any imaging parameters, considered that the TEW scatter corrected AC-SPECT images presented better image quality than the DEW ones. In this study, the qualitative and quantitative comparison of the two scatter correction methods indicated the effectiveness of the TEW method in diagnostic postsurgical thyroid I-131 SPECT/CT imaging.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"2 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":"131743585","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}

{"title":"The Heart Failure Treatment of β-Blockers","authors":"Ji-Zhou Su","doi":"10.1145/3444884.3444896","DOIUrl":"https://doi.org/10.1145/3444884.3444896","url":null,"abstract":"Heart failure (HF) refers to a syndrome that causes the heart's pumping function to be impaired for a variety of reasons, and the cardiac output cannot meet the basic metabolic needs of systemic tissues. The main symptoms are dyspnea, weariness and fluid retention. HF has plagued patients, greatly reduced their quality of life, and caused a considerable medical burden, so this disease is an urgent problem to be solved. Cardiac adrenergic receptors and their signal transduction mechanisms are closely related to HF. Studies have shown that sympathetic nervous are continuously activated during the process of HF, and the level of circulating catecholamines(CAs) are relevant to the degree and prognosis of HF, while changes in sympathetic nerve tension directly cause corresponding biological effects mediated by adrenergic receptors, affecting the process of HF. In order to effectively treat HF, many kinds of β-blockers have been studied. β-blockers are a type of drugs that selectively bind to adrenergic receptors, thereby antagonizing the agonistic effects of neurotransmitters and CAs on the β-receptors. The present review discusses several different β-blockers and focuses on their selectivity and pharmacokinetics, also some of their common side effects are listed and summarized. β-blockers have been playing a cornerstone role in the treatment of HF, and it can be expected that they will be more widely used in the field of HF treatment. Therefore, in order to reduce their side effects and make them better for patients, β-blockers should be further improved based on some of their characteristics. In addition, the use of β-blocker drugs should also be bolder and more personalized to ensure that they exert their maximum effect.","PeriodicalId":142206,"journal":{"name":"Proceedings of the 2020 7th International Conference on Biomedical and Bioinformatics Engineering","volume":"2 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":"114867186","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}