Showing 1,081 - 1,100 results of 1,491 for search '"bioinformatics"', query time: 0.05s Refine Results
  1. 1081

    WNT3A promotes the cementogenic differentiation of dental pulp stem cells through the FOXO1 signaling pathway by Dongmei Cheng, Yang Bao, Xue Wang, Haidong Xiang, Tianyuan Guo, Yong Du, Zhiyong Zhang, Han Guo

    Published 2025-02-01
    “…Results Differentially expressed genes (DEGs) associated with DPSC cementogenic differentiation were predominantly enriched in crucial pathways such as the signaling pathway, cell apoptosis, and Wnt signaling pathway. Bioinformatics analysis confirmed WNT3A as a pivotal biomarker for DPSC cementogenic differentiation, and WNT3A was highly expressed in the cementogenic differentiation group. …”
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    Article
  2. 1082
  3. 1083

    Molecular and functional characterization of Accl(2)efl: A biomarker for heavy metal stress in Apis cerana cerana by Yu-Lin Xu, Ling Peng, Jun-Jie Li, Wen-Feng Chen

    Published 2025-01-01
    “…To address this knowledge gap, we cloned the l(2)efl gene from Apis cerana cerana [Accl(2)efl] and conducted a bioinformatics analysis on the encoded protein, aiming to elucidate the potential functions of Accl(2)efl. …”
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  4. 1084
  5. 1085

    Deciphering the multifaceted mechanism of Shuang Huang Lian in treating upper respiratory tract infections: A metabolomics-based network pharmacology approach by Gang Xu, Akshay Suresh Patil, Ruhan Wei, Dan Liu, Aimin Zhou, Yan Xu

    Published 2025-02-01
    “…Key cheminformatics and bioinformatics platforms and databases, including ADMETlab, SEA, PASS, Super-Pred, SwissTargetPrediction, PharmMapper, and GeneCards, were used to predict the drug-like properties of active SHL components and identify protein targets shared between the active SHL components and the URTI-related disease genes. …”
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  6. 1086
  7. 1087
  8. 1088

    Identification of prognostic biomarker of non-small cell lung cancer based on mitochondrial permeability transition-driven necrosis-related genes and determination of anti-tumor ef... by Zhifei Ma, Wen Chen, Aiping Zhang, Xiaokang Shen, Lin Zheng

    Published 2025-02-01
    “…RT-qPCR confirmed that expression levels of three genes in tissues or cells were consistent with the results of bioinformatics analysis. Finally, ARL14 knockdown inhibited the malignant phenotype of NSCLC cells. …”
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    Article
  9. 1089

    Metagenomic analysis of gut microbiota diversity in poultry before and after antibiotic administration by O. V. Prasolova, N. I. Malik, I. A. Timofeeva, N. A. Kirsanova, E. V. Krylova, E. V. Malik, I. A. Rusanov, N. A. Chupakhina

    Published 2024-12-01
    “…The results of metagenomic data bioinformatics (without truncation) showed the presence of 158 microorganism species in the chick microbiota, 38% of which were classified as nonculturable.…”
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  10. 1090

    Pan-Cancer Analysis of Disulfidptosis-Related Genes Affecting Prognosis and Tumor Microenvironment by Jingyang SUN, Rongxuan JIANG, Liren HOU, Huanhuan DONG, Yihan LIN, Niuniu DONG, Guangjian ZHANG, Yanpeng ZHANG

    Published 2025-01-01
    “…ObjectiveTo assess the potential role of disulfidptosis-related genes (DRGs) in pan-cancer on prognosis and immunity on the basis of bioinformatics approaches. MethodsPan-cancer RNA-seq data, mutation profiles, clinical information, TMB, MSI, stemness scores, and tumor and immune microenvironment data contained in TCGA and various open-source online databases, and multi-group R-language algorithms were used for comprehensive analysis. …”
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  11. 1091
  12. 1092
  13. 1093

    Knockdown of RFC4 inhibits cell proliferation of oral squamous cell carcinoma in vitro and in vivo by Pengyue You, Di Wang, Zheng Liu, Shuzhen Guan, Ning Xiao, Haotian Chen, Xin Zhang, Lichuan Wu, Guizhen Wang, Haitao Dong

    Published 2025-02-01
    “…In the present study, bioinformatics analysis identified RFC4 as a potential key target in OSCC progression. …”
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  14. 1094
  15. 1095

    The Chloroplastic Small Heat Shock Protein Gene KvHSP26 Is Induced by Various Abiotic Stresses in Kosteletzkya virginica by Xiaohua Liu, Lizi Zhao, Jianzhao Li, Lijun Duan, Kai Zhang, Xuqiang Qiao, Weihuan Li, Chengchao Zheng, Xiaoli Tang, Hongxia Zhang

    Published 2021-01-01
    “…In this work, a putative sHSP gene KvHSP26 was cloned from K. virginica. Bioinformatics analyses revealed that KvHSP26 encoded a chloroplastic protein with the typical features of sHSPs. …”
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  16. 1096

    Evaluating the advancements in protein language models for encoding strategies in protein function prediction: a comprehensive review by Jia-Ying Chen, Jia-Ying Chen, Jia-Ying Chen, Jing-Fu Wang, Jing-Fu Wang, Jing-Fu Wang, Yue Hu, Yue Hu, Yue Hu, Xin-Hui Li, Xin-Hui Li, Xin-Hui Li, Yu-Rong Qian, Yu-Rong Qian, Yu-Rong Qian, Chao-Lin Song, Chao-Lin Song, Chao-Lin Song

    Published 2025-01-01
    “…Protein function prediction is crucial in several key areas such as bioinformatics and drug design. With the rapid progress of deep learning technology, applying protein language models has become a research focus. …”
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  17. 1097
  18. 1098

    Incomplete human reference genomes can drive false sex biases and expose patient-identifying information in metagenomic data by Caitlin Guccione, Lucas Patel, Yoshihiko Tomofuji, Daniel McDonald, Antonio Gonzalez, Gregory D. Sepich-Poore, Kyuto Sonehara, Mohsen Zakeri, Yang Chen, Amanda Hazel Dilmore, Neil Damle, Sergio E. Baranzini, George Hightower, Teruaki Nakatsuji, Richard L. Gallo, Ben Langmead, Yukinori Okada, Kit Curtius, Rob Knight

    Published 2025-01-01
    “…We find that insufficient host filtration using prior human genome references can introduce false sex biases and inadvertently permit flow-through of host-specific DNA during bioinformatic analyses, which could be exploited for individual identification. …”
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    Article
  19. 1099

    A Missense Mutation in OPA1 Causes Dominant Optic Atrophy in a Chinese Family by Shaoyi Mei, Xiaosheng Huang, Lin Cheng, Shiming Peng, Tianhui Zhu, Liang Chen, Yan Wang, Jun Zhao

    Published 2019-01-01
    “…The disease-causing mutation was identified by bioinformatics analysis and confirmed by segregation analysis. …”
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  20. 1100

    Successful Traceability of Wildlife Samples Contributes to Wildlife Conservation: A Case Study of Tracing the Snub-Nosed Monkey (<i>Rhinopithecus</i> spp.) by Xibo Wang, Ying Shen, Yang Teng, Ruifeng Wu, Shuhao Liu, Jilai Zhao, Can Hu, Ming Li, Huijuan Pan, Jiwei Qi

    Published 2025-01-01
    “…To address these limitations, we developed a bioinformatics-based pipeline for the rapid identification of traceable nuclear genome loci. …”
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