Showing 321 - 340 results of 569 for search '"Venn diagram"', query time: 0.63s Refine Results
  1. 321

    Identification and exploration of novel M2 macrophage-related biomarkers in the development of acute myocardial infarction by Qiaoyu Zhou, Guogang Zhang, Zhaoya Liu, Jiayi Zhang, Ruizheng Shi

    Published 2022-11-01
    “…Subsequent analysis using a Venn diagram assessed 631 DEGs in GSE123342, 1457 DEGs in GSE97320, and module candidate hub genes for their relationship with Mϕ2 in the progression of AMI. …”
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    Article
  2. 322
  3. 323

    The Crosstalk Between Immune Infiltration, Circulating Tumor Cells, and Metastasis in Pancreatic Cancer: Identification of HMGB3 From a Multiple Omics Analysis by Hao-dong Tang, Yang Wang, Peng Xie, Si-yuan Tan, Hai-feng Li, Hao Shen, Zheng Zhang, Zheng-qing Lei, Jia-hua Zhou, Jia-hua Zhou

    Published 2022-06-01
    “…Finally, we found that HMGB3 was the hub gene according to the Venn diagram. The expression of HMGB3 in PDAC was significantly higher than that in normal tissues (protein and mRNA levels). …”
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    Article
  4. 324

    Label-free LC-MS/MS proteomics analyses reveal CLIC1 as a predictive biomarker for bladder cancer staging and prognosis by Weifeng Wang, Guankai Huang, Hansen Lin, Hansen Lin, Lei Ren, Liangmin Fu, Liangmin Fu, Xiaopeng Mao

    Published 2023-01-01
    “…The proteome differences were examined and visualized using radar plots, heat maps, bubble plots, and Venn diagrams.ResultsAs a result of combining the Venn diagram with protein-protein interactions (PPIs), Chloride intracellular channel 1 (CLIC1) was identified as the primary protein. …”
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    Article
  5. 325

    Construction of the Interaction Network of Hub Genes in the Progression of Barrett’s Esophagus to Esophageal Adenocarcinoma by Li K, Duan P, He H, Du R, Wang Q, Gong P, Bian H

    Published 2023-04-01
    “…The overlapping genes of DEGs between BE and EAC were analyzed by Venn diagram tool. The hub genes were selected by Cytoscape software based on the protein-protein interaction network of the overlapping genes using STRING database. …”
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    Article
  6. 326

    Identification of the E2F1-RAD51AP1 axis as a key factor in MGMT-methylated GBM TMZ resistance by Junhu Zhou, Fei Tong, Jixing Zhao, Xiaoteng Cui, Yunfei Wang, Guangxiu Wang, Chunsheng Kang, Xiaomin Liu, Qixue Wang

    Published 2023-05-01
    “…Knockdown of E2F1 increased sensitivity to TMZ. Venn diagram profiling showed that RAD51AP1 is positively correlated with E2F1, mediates TMZ resistance, and has a potential E2F1 binding site on the promoter. …”
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    Article
  7. 327

    RNA sequencing (RNA-Seq) of lymph node, spleen, and thymus transcriptome from wild Peninsular Malaysian cynomolgus macaque (Macaca fascicularis) by Joey Ee Uli, Christina Seok Yien Yong, Swee Keong Yeap, Jeffrine J. Rovie-Ryan, Nurulfiza Mat Isa, Soon Guan Tan, Noorjahan Banu Alitheen

    Published 2017-08-01
    “…Differential gene expression analysis among the three tissues revealed 574 differentially expressed genes (DEG) between lymph and spleen, 5402 DEGs between lymph and thymus, and 7008 DEGs between spleen and thymus. Venn diagram analysis of expressed genes revealed a total of 2,630, 253, and 279 tissue-specific genes respectively for lymph node, spleen, and thymus tissues. …”
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    Article
  8. 328

    Interactions Among Nerve Regeneration, Angiogenesis, and the Immune Response Immediately After Sciatic Nerve Crush Injury in Sprague-Dawley Rats by Bo He, Bo He, Vincent Pang, Xiangxia Liu, Xiangxia Liu, Shuqia Xu, Yi Zhang, David Djuanda, Guanggeng Wu, Yangbin Xu, Zhaowei Zhu

    Published 2021-10-01
    “…In the injury group, tissue samples were collected at 4 and 7 days after the injury for next-generation sequencing (NGS) analysis combined with gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Venn diagram construction to identify the differentially expressed mRNAs (DEmRNAs) associated with regeneration, angiogenesis, and the immune response of the nerve. …”
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    Article
  9. 329

    Research on the Mechanism of Xiaoyao Pill in Treating Hyperplasia of Mammary Gland was Explored Based on Network Pharmacology and Molecular Docking Technology by GUAN Qing-xia, YANG Fang-fang, YANG Zhi-ping, NIE Ze-hui, ZHOU Xiao-ying, LIN Ze-yu, CHEN Zhong-xin, ZOU Shu-jun

    Published 2022-01-01
    “…The drug targets and disease targets were selected to make a Venn diagram, and the common targets were used to make a PPI network diagram in the String database. …”
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    Article
  10. 330

    Screening of immunopeptides from Zhiciweipi (Corium Erinacei Praeparaum) and their immunity to RAW264.7 macrophages by Zhikai Xiahou, Zexin Zhang, Wenfeng Wu, Jun Han

    Published 2022-12-01
    “…A total of 20 immune regulatory genes were identified from the Venn diagram of protein and immune regulatory genes in Zhiciweipi (Corium Erinacei Praeparaum). …”
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    Article
  11. 331

    Investigation of the mechanisms and experimental verification of Cuscuta-Salvia in the treatment of polycystic ovary syndrome (PCOS) via network pharmacology by Ying-ying Zhang, Jian-xiong Ma, Yu-tian Zhu, Yi-xuan Wang, Wang-qiang Chen, Xin Sun, Wei Zhang, Chen-ye Wang, Cai-fei Ding

    Published 2022-04-01
    “…Subsequently, common targets between Cuscuta-Salvia and PCOS were identified using a Venn diagram. PPI network was established. Core genes were selected using a Cytoscape software plugin. …”
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    Article
  12. 332

    Identification and Validation of Potential Biomarkers and Their Functions in Acute Kidney Injury by Jianwen Chen, Yalei Chen, Alberto Olivero, Xiangmei Chen

    Published 2020-05-01
    “…The overlapping DEGs among four group sets were further analyzed by the VennDiagram package, and their potential functions were analyzed by the GO and KEGG pathway enrichment analyses using the DAVID database. …”
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    Article
  13. 333

    A novel 9-gene signature for the prediction of postoperative recurrence in stage II/III colorectal cancer by Cheng Xin, Yi Lai, Liqiang Ji, Ye Wang, Shihao Li, Liqiang Hao, Wei Zhang, Ronggui Meng, Jun Xu, Yonggang Hong, Zheng Lou

    Published 2023-01-01
    “…Common prognostic genes were identified by Venn diagram and subsequently subjected to least absolute shrinkage and selection operator (LASSO) regression analysis and multivariate Cox regression analysis for signature construction. …”
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    Article
  14. 334

    Exploring the key genetic association between chronic pancreatitis and pancreatic ductal adenocarcinoma through integrated bioinformatics by Kai Guo, Yatong Zhao, Yingying Cao, Yuan Li, Meng Yang, Ying Tian, Jianmeng Dai, Lina Song, Shuai Ren, Zhongqiu Wang

    Published 2023-07-01
    “…Weighted gene co-expression network analysis (WGCNA) was performed to construct a gene co-expression network between chronic pancreatitis and pancreatic ductal adenocarcinoma. GEO2R and a Venn diagram were used to identify differentially expressed genes. …”
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    Article
  15. 335

    Expression of CCL2, FOS, and JUN May Help to Distinguish Patients With IgA Nephropathy From Healthy Controls by Xue Zhou, Xue Zhou, Xue Zhou, Ning Wang, Yuefeng Zhang, Pei Yu, Pei Yu

    Published 2022-04-01
    “…The common gene list was screened out between DEGs and immune-associated genes by Venn diagram, then performed gene-gene interaction, protein-protein interaction (PPI) and function enrichment analyses. …”
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    Article
  16. 336

    Identification of hub genes and small molecule therapeutic drugs related to breast cancer with comprehensive bioinformatics analysis by Mingqian Hao, Wencong Liu, Chuanbo Ding, Xiaojuan Peng, Yue Zhang, Huiying Chen, Ling Dong, Xinglong Liu, Yingchun Zhao, Xueyan Chen, Sadia Khatoon, Yinan Zheng

    Published 2020-09-01
    “…After downloading multiple gene expression datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, 283 overlapping differentially expressed genes (DEGs) significantly enriched in different cancer-related functions and pathways were obtained using LIMMA, VennDiagram and ClusterProfiler packages of R. We then analyzed the topology of protein–protein interaction (PPI) network with overlapping DEGs and further obtained six hub genes (RRM2, CDC20, CCNB2, BUB1B, CDK1, and CCNA2) from the network via STRING and Cytoscape. …”
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    Article
  17. 337

    Study on the Mechanism of Budesonide in the Treatment of IgA Nephropathy Based on Network Pharmacology by ZHANG Kang, ZHAO Tingting, ZHANG Bo, GAO Mengqi, LI Yuxi, WANG Shaopeng, ZHAO Wenjing

    Published 2023-12-01
    “…The intersection of budesonide targets and IgAN targets was obtained through a Venn diagram. A protein-protein interaction (PPI) network map was constructed, and gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the intersecting targets. …”
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    Article
  18. 338

    Development and Validation of Prognostic Model in Transitional Bladder Cancer Based on Inflammatory Response-Associated Genes by Zhiwen Xie, Jinming Cai, Wenlan Sun, Shan Hua, Xingjie Wang, Anguo Li, Juntao Jiang

    Published 2021-10-01
    “…The intersection between them was displayed by Venn diagram. Based on least absolute shrinkage and selection operator (LASSO) regression analysis method, the TCGA-BLCA cohort was used to construct a risk signature. …”
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    Article
  19. 339

    Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis by Mingze Lu, Xiaowen Fan, Weilin Liao, Yijiao Li, Lijie Ma, Mu Yuan, Rui Gu, Zhengdao Wei, Chao Wang, Hua Zhang

    Published 2021-05-01
    “…Common DEGs between LAC and normal tissues were identified using the GEO2R tool and Venn diagram software. Next, the Database for Annotation, Visualization, and Integrated Discovery (DAVID) was used to analyze the Gene Ontology and Kyoto Encyclopedia of Gene and Genome (KEGG) pathways. …”
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    Article
  20. 340

    KL is a favorable prognostic factor related immune for clear cell renal cell carcinoma by Ke-Hao Pan, Liqing Yao, Zhihao Chen, Jiale Sun, Zongming Jia, Jianglei Zhang, Zhixin Ling

    Published 2023-09-01
    “…Results In this study, we utilized Venn diagram analysis to identify 17 co-expressed immune-aging related DEGs from GSE168845, import database, and MSigDB database. …”
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    Article