Biocell最新文献

{"title":"Genetic algorithm-optimized backpropagation neural network establishes a diagnostic prediction model for diabetic nephropathy: Combined machine learning and experimental validation in mice","authors":"Wei Liang, Zongwei Zhang, Keju Yang, Hongtu Hu, Qiang Luo, Ankang Yang, Li-Chiu Chang, Yuanyuan Zeng","doi":"10.32604/biocell.2023.027373","DOIUrl":"https://doi.org/10.32604/biocell.2023.027373","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"45 6-7 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77729970","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}

{"title":"Research progress of protein phosphatase 2A in cellular autophagy","authors":"Hongmei Wu, Di Li, Yuanyuan Huang, Ruyuan Liu, Xiaonian Zhu","doi":"10.32604/biocell.2023.026049","DOIUrl":"https://doi.org/10.32604/biocell.2023.026049","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"15 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72535110","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}

{"title":"RASAL2 acts as a tumor suppressor in cervical cancer cells","authors":"Li Chen, Fangfang Li, Shouyan Cao, Xia Li, Chao Zhou, Sai Han, Youzhong Zhang","doi":"10.32604/biocell.2023.027308","DOIUrl":"https://doi.org/10.32604/biocell.2023.027308","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"15 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72700349","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}

{"title":"Role of necroptosis in spinal cord injury and its therapeutic implications","authors":"Jiawei Fu, Chunshuai Wu, Guanhua Xu, Jinlong Zhang, Yiqiu Li, Chunyan Ji, Zhiming Cui","doi":"10.32604/biocell.2023.026881","DOIUrl":"https://doi.org/10.32604/biocell.2023.026881","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"34 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76924095","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}

{"title":"Analysis of tumor-draining vein secretome: A direct access to tumor-derived extracellular vesicles in surgical lung cancer patients","authors":"","doi":"10.32604/biocell.2023.027718","DOIUrl":"https://doi.org/10.32604/biocell.2023.027718","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"15 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78181883","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}

{"title":"Novel defined N7-methylguanosine modification-related lncRNAs for predicting the prognosis of laryngeal squamous cell carcinoma","authors":"ZHAOXU YAO, HAIBIN MA, LIN LIU, QIAN ZHAO, LONGCHAO QIN, XUEYAN REN, CHUANJUN WU, KAILI SUN","doi":"10.32604/biocell.2023.030796","DOIUrl":"https://doi.org/10.32604/biocell.2023.030796","url":null,"abstract":"<b>Objective:</b> Through integrated bioinformatics analysis, the goal of this work was to find new, characterised N7-methylguanosine modification-related long non-coding RNAs (m7G-lncRNAs) that might be used to predict the prognosis of laryngeal squamous cell carcinoma (LSCC). <b>Methods:</b> The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database & sanitised. Then, using co-expression analysis of m7G-associated mRNAs & lncRNAs & differential expression analysis (DEA) among LSCC & normal sample categories, we discovered lncRNAs that were connected to m7G. The prognosis prediction model was built for the training category using univariate & multivariate COX regression & LASSO regression analyses, & the model’s efficacy was checked against the test category data. In addition, we conducted DEA of prognostic m7G-lncRNAs among LSCC & normal sample categories & compiled a list of co-expression networks & the structure of prognosis m7G-lncRNAs. To compare the prognoses for individuals with LSCC in the high- & low-risk categories in the prognosis prediction model, survival and risk assessments were also carried out. Finally, we created a nomogram to accurately forecast the outcomes of LSCC patients & created receiver operating characteristic (ROC) curves to assess the prognosis prediction model’s predictive capability. <b>Results:</b> Using co-expression network analysis & differential expression analysis, we discovered 774 m7G-lncRNAs and 551 DEm7G-lncRNAs, respectively. We then constructed a prognosis prediction model for six m7G-lncRNAs (<i>FLG−AS1</i>, <i>RHOA−IT1</i>, <i>AC020913.3</i>, <i>AC027307.2</i>, <i>AC010973.2</i> and <i>AC010789.1</i>), identified 32 DEPm7G-lncRNAs, analyzed the correlation between 32 DEPm7G-lncRNAs and 13 DEPm7G-mRNAs, and performed survival analyses and risk analyses of the prognosis prediction model to assess the prognostic performance of LSCC patients. By displaying ROC curves and a nomogram, we finally checked the prognosis prediction model's accuracy. <b>Conclusion:</b> By creating novel predictive lncRNA signatures for clinical diagnosis & therapy, our findings will contribute to understanding the pathogenetic process of LSCC.","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"354 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135755380","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}

{"title":"Microfluidic platform for circulating tumor cells isolation and detection","authors":"Jiahao Zhang, J. Ren, Zirui Li, Yixing Gou","doi":"10.32604/biocell.2023.028628","DOIUrl":"https://doi.org/10.32604/biocell.2023.028628","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"4 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75587943","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}

{"title":"Abstracts from XXIV Annual Meeting of the Argentinean Society of Biology (SAB)","authors":"","doi":"10.32604/biocell.2023.s0124","DOIUrl":"https://doi.org/10.32604/biocell.2023.s0124","url":null,"abstract":"","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":"83052457","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}

{"title":"Columbianetin acetate inhibits the occurrence and development of pancreatic cancer cells by down-regulating the expression of Meiotic nuclear divisions 1","authors":"K. Sun, Dongqin Wang, Zhiqiang Zhang, Yinlong Huang, Xiaofu Lian, Jia Hua, Jing Zhang, Chaoqun Lian","doi":"10.32604/biocell.2023.023553","DOIUrl":"https://doi.org/10.32604/biocell.2023.023553","url":null,"abstract":"Columbianetin acetate (CE) is one of the effective components of Angelica pubescens. So far, the specific role and molecular mechanism of CE in pancreatic cancer are not clear. Thus, this study aimed to explore the specific mechanism of CE on pancreatic cancer. The target genes combined with CE were predicted through the PharmMapper database and the 3D molecular structure of CE. Then, the Cancer Genome Atlas (TCGA) and Cistrome data browser (DB) databases were used to screen Meiotic nuclear divisions 1 (MND1)-related genes, transcription factors, and transcription factor data sets, and the intersection of the above data sets. The “limma” package in the R and gene expression profiling interactive analysis (GEPIA) databases were used to analyze the correlation and survival difference between the target genes and MND1 to predict the degree of association between CE and MND1. Western blotting and RT-PCR experiments revealed the regulatory relationship among CE, E2F1, and MND1 at the cellular level. The specific effects of CE on pancreatic cancer cells were explored through CCK8, wound healing, migration, and flow cycle experiments. E2F1, also the predictive transcription factor of MND1, was also the predictive target protein of CE. At the same time, E2F1 and MND1 were closely related in pancreatic tissue. In the cell function experiment, CE and interference with E2F1 expression could reduce the gene and protein expression of MND1, which was closely associated with cell proliferation, migration, and cycle development. Similarly, interfering with the expression of mnd1 can also inhibit the further development of tumor cells. CE may inhibit the development of pancreatic cancer cells by reducing the expression of MND1. This implies that CE may be a potential novel agent for the treatment of pancreatic cancer.","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"100 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83348294","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}

{"title":"Comprehensive bioinformatics analysis of CYB561 expression in breast cancer: Link between prognosis and immune infiltration","authors":"Xi Yang, Huixian Wu, Chao-Liang Xiong, Bo Zhao, Meilian Liu, J. Qin, Meihai Deng","doi":"10.32604/biocell.2023.027103","DOIUrl":"https://doi.org/10.32604/biocell.2023.027103","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90194699","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}