Integrated bioinformatics analysis identifies ALDH18A1 as a prognostic hub gene in glutamine metabolism in lung adenocarcinoma by Hao Ren, Deng-Feng Ge, Zi-Chen Yang, Zhen-Ting Cheng, Shou-Xiang Zhao, Bin Zhang

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Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validation by Guiling Wu, Guiling Wu, Sihui Wu, Sihui Wu, Tian Xiong, Tian Xiong, Tian Xiong, You Yao, You Yao, Yu Qiu, Yu Qiu, Yu Qiu, Liheng Meng, Cuihong Chen, Xi Yang, Xi Yang, Xi Yang, Xinghuan Liang, Yingfen Qin

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Exploring the Causal Relationship and Molecular Mechanisms Between Fasting Insulin and Androgenetic Alopecia: A Mendelian Randomization Study with Bioinformatics Analysis by Ding X, Bai Z, Wang W, Gu Y, Li Z, Fan Y

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Bioinformatics analysis of miR-2861 and miR-5011-5p that function as potential tumor suppressors in colorectal carcinogenesis by Alper Aytekin, Hikmet Kadakal, Deniz Mihcioglu, Turkan Gurer

Subjects: “…Bioinformatics analysis…”
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Identification and validation of CDK1 as a promising therapeutic target for Eriocitrin in colorectal cancer: a combined bioinformatics and experimental approach by Jiemiao Shen, Xing Gong, Haili Ren, Xia Tang, Hairong Yu, Yilu Tang, Shen Chen, Minghui Ji

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Integrative Bioinformatics Analysis to Identify Key Ferroptosis-Related Genes and Immune Infiltration in Aortic Aneurysm and Dissection: Implication of PTGS2 by An W, Luo J, Zhang C, Xiao Q

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Exploring salivary gene expression clusters: A bioinformatics approach for advanced diagnosis and prognosis in head and neck squamous cell carcinoma by Rajesh Parsanathan, Rishaba Byju, D.S. Prabakaran

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Glucometabolic-Related Genes as Diagnostic Biomarkers and Therapeutic Targets for Alzheimer’s Disease and Type 2 Diabetes Mellitus: A Bioinformatics Analysis by Shuo Liu, He Chen, Xiao-Dong He, Xiao-Ou Yang

“…By analyzing microarray datasets from the Gene Expression Omnibus (GEO) repository, we identified differentially expressed glucometabolic genes (DEGs) in AD and T2DM cohorts. A range of bioinformatics tools were employed for functional annotation, pathway enrichment, protein interaction network construction, module analysis, ROC curve assessment, correlation matrix construction, gene set enrichment analysis, and gene-drug interaction mapping of these DEGs. …”
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Based on bioinformatics, SESN2 negatively regulates ferroptosis induced by ischemia reperfusion via the System Xc−/GPX4 pathway by Jiejie Hu, Lijun Qin, Guoqiang Zhu, Jingjing Ren, Hongxia Wang, Jing Jin, Haixue Zheng, Dan Li, Zhaoming Ge

“…Transcriptomic sequencing of the cells was performed first, followed by bioinformatics analysis. Differentially expressed gene (DEG) enrichment analysis highlighted ferroptosis-related pathways.ResultsUsing Venn analysis, nine ferroptosis-related DEGs were identified, namely, Slc3a2, Slc7a11, Ccn2, Tfrc, Atf3, Chac1, Gch1, Lcn2, and Sesn2. …”
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Identification of novel cytoskeleton protein involved in spermatogenic cells and sertoli cells of non-obstructive azoospermia based on microarray and bioinformatics analysis by Danial Hashemi Karoii, Hossein Azizi, Maryam Darvari, Ali Qorbanee, Dawan Jamal Hawezy

“…Methods The cytoskeleton, scaffold, and actin-binding genes were analyzed by microarray and bioinformatics (771 spermatogenic cellsgenes and 774 Sertoli cell genes). …”
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Bioinformatics Analysis, Prokaryotic Expression and Biological Activity of Lysin from Vibrio parahaemolyticus Phage vB_VpP_1 by ZHANG Defu, YANG Wenjing, LIU Ke, LIU Qingqing, BAI Wutong, LI Fan, LÜ Xinran, BAI Xue, TAN Xiqian, LI Xuepeng, LI Jianrong

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Exploring the Anti-PANoptosis Mechanism of Dachaihu Decoction Against Sepsis-Induced Acute Lung Injury: Network Pharmacology, Bioinformatics, and Experimental Validation by Yang Z, Kao X, Zhang L, Huang N, Chen J, He M

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Overexpression of metalloproteinase PAPPA accelerates cancer progression and correlates with immune cell infiltration in gastric cancer: insights from bioinformatics and in vitro investigations by Shiya Yu, Shiyao Zheng, Jinwei Qiu, Hongming Lin, Xiaojuan Yu, Huiyan Chen, Junhong Wu, Weihang Wu, Jiong Chen, Yongyuan Chen, Jianwei Chen, Hu Zhao, Yu Wang

“…Pregnancy-associated plasma protein-A(PAPPA) is thought to play an important role in the occurrence and progression of cancer, yet its significance in the development of GC has not been reported. Methods Bioinformatics analysis elucidated PAPPA's expression in GC and its prognostic significance. …”
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GlucoGenes^®, a database of genes and proteins associated with glucose metabolism disorders, its description and applications in bioinformatics research by V. V. Klimontov, K. S. Shishin, R. A. Ivanov, M. P. Ponomarenko, K. A. Zolotareva, S. A. Lashin

“…The data were collected using text mining of the publications indexed in PubMed and PubMed Central and analysis of gene networks associated with hyperglycemia, hypoglycemia and glucose variability performed with ANDSystems, a bioinformatics tool. GlucoGenes® is freely available at: https://glucogenes.sysbio.ru/genes/main. …”
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Bioinformatics combining machine learning and single-cell sequencing analysis to identify common mechanisms and biomarkers of rheumatoid arthritis and ischemic heart failure by Ziyi Sun, Jianguo Lin, Xiaoning Sun, Zhangjun Yun, Xiaoxiao Zhang, Siyu Xu, Jinlong Duan, Kuiwu Yao

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New Insights into the Role of Inflammatory Pathways and Immune Cell Infiltration in Sleep Deprivation-Induced Atrial Fibrillation: An Integrated Bioinformatics and Experimental Study by Liang J, Tang B, Shen J, Rejiepu M, Guo Y, Wang X, Shao S, Guo F, Wang Q, Zhang L

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Mechanism of Radix Bupleuri and Hedysarum Multijugum Maxim drug pairs on liver fibrosis based on network pharmacology, bioinformatics and molecular dynamics simulation. by Lefei Yu, Pan Yu, Yongchang Cao, Weiya Cao

“…This study aims to explore the mechanism of RB-HMM drug pairs in treating liver fibrosis by using network pharmacology, bioinformatics, molecular docking, molecular dynamics simulation technology and in vitro experiments. …”
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Retraction Note: Screening and identification of susceptibility genes for cervical cancer via bioinformatics analysis and the construction of an mitophagy-related genes diagnostic model by Zhang Zhang, Fangfang Chen, Xiaoxiao Deng

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Understanding the Molecular Mechanisms of Incomptine A in Treating Non-Hodgkin Lymphoma Associated with U-937 Cells: Bioinformatics Approaches, Part I by Fernando Calzada, Normand García-Hernández, Elihú Bautista, José Manuel Sánchez-López, Miguel Valdes, Claudia Velázquez, Elizabeth Barbosa

“…<b>Conclusions</b>: The results obtained using the five bioinformatic approaches provide information and show that <b>IA</b> could be used to treat non-Hodgkin lymphoma induced with the U-937 cell line. …”
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RETRACTED ARTICLE: Screening and identification of susceptibility genes for cervical cancer via bioinformatics analysis and the construction of an mitophagy-related genes diagnostic model by Zhang Zhang, Fangfang Chen, Xiaoxiao Deng

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