Showing 381 - 400 results of 404 for search '"protein interactions"', query time: 0.07s Refine Results
  1. 381

    Identification of potential druggable targets for endometriosis through Mendelian randomization analysis by Peng Chen, Xin Wei, Xiao-Ke Li, Yi-Hang Zhou, Yi-Hang Zhou, Qi-Fang Liu, Ling Ou-Yang

    Published 2025-01-01
    “…Additionally, we conducted a protein-protein interaction (PPI) network as well as functional enrichment analyses to unveil potential associations among target proteins.ResultsMR analysis revealed that a decrease of one standard deviation (SD) in plasma R-Spondin 3 (RSPO3) level had a protective effect on EM (OR = 1.0029; 95% confidence interval (95% CI): 1.0015–1.0043; P = 3.2567e-05; Bonferroni P < 5.63 × 10−5). …”
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    Article
  2. 382

    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

    Published 2025-01-01
    “…Function enrichment analyses revealed that the FRGs were mainly associated with responses to chemical stress and cytokine signaling in the immune system. Protein–protein interaction network analyses identified 8 hub FRGs including EZH2, EGFR, HIF1A, IL6, PTGS2, MAPK1, IL1B and SRC. …”
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    Article
  3. 383

    Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses by Bin Zhao, Dan Wang, Yanling Liu, Xiaohong Zhang, Zheng Wan, Jinling Wang, Ting Su, Linshan Duan, Yan Wang, Yuehua Zhang, Yilin Zhao

    Published 2020-01-01
    “…Methods. 29 samples of atherosclerosis-related gene expression profiling, including 16 human advanced atherosclerosis plaque (AA) and 13 human early atherosclerosis plaque (EA) samples from the Gene Expression Omnibus (GEO) database, were analyzed to get differentially expressed genes (DEGs) and the construction of protein and protein interaction (PPI) networks. Besides, we detected the relative fraction of 22 immune cell types in atherosclerosis by using the deconvolution algorithm of “cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT).” …”
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    Article
  4. 384

    Identifying a Serum Exosomal-Associated lncRNA/circRNA-miRNA-mRNA Network in Coronary Heart Disease by Jia Mao, Yufei Zhou, Licheng Lu, Ping Zhang, Runhua Ren, Yaqiong Wang, Jing Wang

    Published 2021-01-01
    “…Subsequently, a protein-protein interaction (PPI) network was established to screen out on which hub genes enrichment analyses should be performed, and a ceRNA network (lncRNA/circRNA-miRNA-mRNA) was constructed to elucidate ceRNA axes in CHD. …”
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    Article
  5. 385

    Exploring the mechanism of rosmarinic acid in the treatment of lung adenocarcinoma based on bioinformatics methods and experimental validation by Chaowang Zhou, Ruqian Zhong, Lei Zhang, Renyi Yang, Yuxin Luo, Huijun Lei, Liang Li, Jianzhong Cao, Zhiying Yuan, Xiaoning Tan, Mengzhou Xie, Haoyu Qu, Zuomei He

    Published 2025-01-01
    “…Secondly, GO and KEGG enrichment analysis of RDEGs were performed, and protein–protein interaction networks (PPIs) were constructed to identify and visualize hub RDEGs. …”
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    Article
  6. 386

    Identifying health risk determinants and molecular targets in patients with idiopathic pulmonary fibrosis via combined differential and weighted gene co-expression analysis by Abu Tayab Moin, Md. Asad Ullah, Jannatul Ferdous Nipa, Mohammad Sheikh Farider Rahman, Afsana Emran, Md. Minhazul Islam, Swapnil Das, Tawsif Al Arian, Mohammad Mahfuz Enam Elahi, Mukta Akter, Umme Sadea Rahman, Arnab Halder, Shoaib Saikat, Mohammad Jakir Hosen

    Published 2025-01-01
    “…Differentially expressed genes (DEGs) were identified, and their functional roles were assessed through pathway enrichment and tissue-specific expression analysis. Protein-protein interaction (PPI) networks and co-expression modules were constructed to identify hub genes and their associations with disease severity. …”
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    Article
  7. 387

    Identification and validation of the important role of KIF11 in the development and progression of endometrial cancer by Biying Wang, Lunmin Bao, Xiaoduo Li, Guang Sun, Wu Yang, Nanzi Xie, Ling Lei, Wei Chen, Hailong Zhang, Man Chen, Xing Zhao, Xiufang Wan, Rui Yuan, Hongmei Jiang

    Published 2025-01-01
    “…DEGs were further screened for hub genes through protein–protein interaction (PPI) network analysis and machine learning. …”
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    Article
  8. 388

    Exploration of the mechanism of Lithospermum erythrorhizon oil in treating atopic dermatitis based on network pharmacology and experimental validation of the PI3K-Akt pathway regul... by Weisheng Hu, Yinlan Wang, Yingjie Zhou, Junbao Shi, Zengyan Li, Xiaoling Jiang, Qinyuan Wu, Changming Zhong, Huilan Weng, Sijie Ouyang, Yuan Jing, Xianxiang Cai, Mingda Ye, Ning Huang

    Published 2025-01-01
    “…Common targets were selected by intersecting these with AD-related targets from GeneCards. A protein-protein interaction (PPI) network was built using STRING, and functional analysis Gene Ontology (GO) and pathway enrichment Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed on Metascape. …”
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    Article
  9. 389

    Genome-wide identification of the Sec14 gene family and the response to salt and drought stress in soybean (Glycine max) by Jinyu Zhang, Liying Zou, Li Wang, Dongchao Zhang, Ao Shen, Yongqi Lei, Maoni Chao, Xinjuan Xu, Zhiwei Xue, Zhongwen Huang

    Published 2025-01-01
    “…Furthermore, the protein interaction network and miRNA regulation associated with GmSec14s were predicted to elucidate the potential functions of GmSec14 members. …”
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    Article
  10. 390

    Integrating bulk and single-cell RNA sequencing data: unveiling RNA methylation and autophagy-related signatures in chronic obstructive pulmonary disease patients by Shi-Xia Liao, Lan-Ying Zhang, Ling-Mei Shi, Huai-Yu Hu, Yan-Hui Gu, Ting-Hua Wang, Yao Ouyang, Peng-Peng Sun

    Published 2025-02-01
    “…Differentially expressed genes (DEGs) were identified between COPD and non-COPD samples, and protein–protein interaction networks were constructed. Univariate logistic regression identified shared genes between DEGs and RNA methylation gene sets. …”
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    Article
  11. 391

    Construction of the bromodomain-containing protein-associated prognostic model in triple-negative breast cancer by Wei Chen, Yushuai Yu, Chenxi Wang, Zirong Jiang, Xiewei Huang, Yidan Lin, Hongjing Han, Qing Wang, Hui Zhang

    Published 2025-01-01
    “…Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction (PPI) network analysis were conducted to investigate active pathways and molecular interactions. …”
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    Article
  12. 392

    Ferroptosis Transcriptional Regulation and Prognostic Impact in Medulloblastoma Subtypes Revealed by RNA-Seq by Christophe Desterke, Yuanji Fu, Jenny Bonifacio-Mundaca, Claudia Monge, Pascal Pineau, Jorge Mata-Garrido, Raquel Francés

    Published 2025-01-01
    “…Using two independent medulloblastoma RNA-sequencing cohorts (MB-PBTA and MTAB-10767), we investigated the expression of ferroptosis-related molecules through multiple approaches, including Weighted Gene Co-Expression Network Analysis (WGCNA), molecular subtype stratification, protein–protein interaction (PPI) networks, and univariable and multivariable overall survival analyses. …”
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    Article
  13. 393

    Contribution of cuproptosis and immune-related genes to idiopathic pulmonary fibrosis disease by Chengji Jin, Jia Li, Qiaoyu Li, Lipeng Zhang, Shaomao Zheng, Qiong Feng, Yongjie Li, Yu Zheng, Qiuli Nie, Jin Liang, Jing Wang, Jing Wang

    Published 2025-02-01
    “…Additionally, four immune-related hub genes were screened using a protein–protein interaction (PPI) network and evaluated through the receiver operating characteristic (ROC) curve. …”
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    Article
  14. 394

    Proteomic analysis to explore potential mechanism underlying pseudomale sperm defect in Cynoglossus semilaevis by Xihong Li, Lu Li, Zhongkai Cui, Ming Li, Xuexue Sun, Zhijie Li, Zhangfan Chen, Lanqing Ding, Dongdong Xu, Wenteng Xu

    Published 2025-03-01
    “…Proteins involved with proteasome were enriched by GO and KEGG analyses. A protein-protein interaction (PPI) network was further constructed to understand the relationship of the DEPs. …”
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    Article
  15. 395

    Genome-Wide Characterization and Expression Analysis of the HD-ZIP Gene Family in Response to Salt Stress in Pepper by Zhongrong Zhang, Ranran Zhu, Xuehua Ji, Hui Ji Li, Hui Lv, Hai Ying Zhang

    Published 2021-01-01
    “…There were multiple pressure-related action elements upstream of the start codon of the HD-Z-IP family. Protein interaction network proved to be coexpression phenomenon between ATML1 (CaH-DZ22, CaHDZ32) and At4g048909 (CaHDZ12, CaHDZ31), and three regions of them were highly homology. …”
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    Article
  16. 396

    Identification of EARS2 as a Potential Biomarker with Diagnostic, Prognostic, and Therapeutic Implications in Colorectal Cancer by Wang L, Deng X, Tang J, Gong Y, Bu S, Li Z, Liao B, Ding Y, Dai T, Liao Y, Li Y

    Published 2025-01-01
    “…To investigate the mechanisms underlying EARS2 in CRC, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Gene Set Enrichment Analysis, and Protein-Protein Interaction analyses were performed, alongside the construction of miRNA-mRNA interaction networks. …”
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    Article
  17. 397

    The Multifaceted Roles of Myrrha in the Treatment of Breast Cancer: Potential Therapeutic Targets and Promises by Anwar Shams MD, MSc, PhD, Abdullah Ahmed Alzahrani, Taghreed A Ayash MSc, PhD, Shadi Tamur MD, FRCPC, FAAP, Majed AL-Mourgi MD, FRCS, FCCP, FACS

    Published 2024-12-01
    “…Furthermore, the STRING protein interaction network and the KEGG analyses indicate that myrrh exerts therapeutic effects on breast cancer by regulating several biological processes such as cell proliferation, cell migration, apoptosis, and various signaling pathways, including TNF, PI3K-Akt, NF-κB, and MAPK. …”
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    Article
  18. 398

    Genome-Wide Comprehensive Identification and In Silico Characterization of Lectin Receptor-Like Kinase Gene Family in Barley (Hordeum vulgare L.) by Fee Faysal Ahmed, Farah Sumaiya Dola, Md Shohel Ul Islam, Fatema Tuz Zohra, Nasrin Akter, Shaikh Mizanur Rahman, Md. Abdur Rauf Sarkar

    Published 2024-01-01
    “…In addition, 46 putative miRNAs were predicted to target 81 HvlecRLK genes and HvlecRLK13 was the most targeted gene by 8 different miRNAs. Protein-protein interaction analysis demonstrated higher functional similarities of 63 HvlecRLKs with 7 Arabidopsis STRING proteins. …”
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    Article
  19. 399

    Potential drug targets for asthma identified through mendelian randomization analysis by Xingxuan Chen, Yu Shang, Danting Shen, Si Shi, Zhe Wen, Lijuan Li, Hong Chen

    Published 2025-01-01
    “…Bidirectional Mendelian randomization analysis, Steiger filtering, colocalization, and phenotype scanning were employed for reverse causal inference detection, further substantiating the Mendelian randomization results. A protein-protein interaction network was also constructed to reveal potential associations between proteins and asthma medications. …”
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  20. 400

    Identification of the Granule-Bound Starch Synthase (GBSS) Genes Involved in Amylose Biosynthesis in Tartary Buckwheat (<i>Fagopyrum tataricum</i> (L.) Gaertn.) by Juan Huang, Fei Liu, Jieqiong Zhang, Bin Tang, Jiao Deng, Taoxiong Shi, Liwei Zhu, Hongyou Li, Qingfu Chen

    Published 2025-01-01
    “…Furthermore, the cis acting elements in the promoters of <i>FtGBSSs</i> and their binding transcription factors (TFs) were investigated. A protein–protein interaction network was constructed and co-expression was analyzed based on the gene expression patterns of the <i>FtGBSSs</i>, and the identified TFs, belonging to bZIP, ERF, bHLH, and MADS-box TF families, were identified within this network, and their expression patterns were significantly correlated to the expression patterns of two seed-specific <i>FtGBSS</i> genes (<i>FtGBSS-3</i> and <i>FtGBSS-5</i>). …”
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