Showing 1,381 - 1,400 results of 1,491 for search '"bioinformatics"', query time: 0.07s Refine Results
  1. 1381

    LINC00707 Regulates miR-382-5p/VEGFA Pathway to Enhance Cervical Cancer Progression by Hua Guo, Jing Li, Furong Fan, Ping Zhou

    Published 2021-01-01
    “…In addition, the action of LINC00707 in cervical cancer cells was studied using bioinformatic tools and luciferase reporter experiment. …”
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    Article
  2. 1382

    Comprehensive Analysis of Gene Signatures of m6ARNA Methylation Regulators in Lung Adenocarcinoma and Development of a Risk Scoring System by Chundi Gao, Huayao Li, Wenzhe Ma, Qiming Zhang, Cun Liu, Lijuan Liu, Jing Zhuang, Changgang Sun

    Published 2022-01-01
    “…Overall, our findings revealed an important role of M6A methylation regulators in LUAD, and our risk scoring system involving these regulators might help to screen groups at high risk for LUAD and provide important theoretical bioinformatic support for evaluating the prognosis of such patients.…”
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  3. 1383

    Identification of mitochondrial carrier homolog 2 as an important therapeutic target of castration-resistant prostate cancer by Yankui Liu, Anjie Chen, Yufan Wu, Jiang Ni, Rong Wang, Yong Mao, Ning Sun, Yuanyuan Mi

    Published 2025-02-01
    “…Abstract We here investigate the expression of the mitochondrial carrier homolog 2 (MTCH2) and its potential function in castration-resistant prostate cancer (CRPC). Bioinformatic analyses reveal that MTCH2 overexpression is associated with critical clinical parameters of prostate cancer. …”
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  4. 1384

    Translational regulation of PKD1 by evolutionarily conserved upstream open reading frames by Lei Chen, Xia Gao, Xiangshen Liu, Ye Zhu, Dong Wang

    Published 2025-12-01
    “…In this study, we investigated the effects of uORFs and uORF-affecting variants by combining bioinformatic analyses, luciferase reporter assays, RT-qPCR and immunoblotting experiments. …”
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  5. 1385

    Comprehensive analysis of cuproptosis-related genes in immune infiltration and development of a novel diagnostic model for acute kidney injury by Yajing Li, Yingxue Ding

    Published 2024-12-01
    “…Nomogram and DCA further confirmed the accuracy of the model in predicting the risk of AKI.Conclusion This study elucidated the role of cuproptosis in AKI and revealed the association between CRGs and infiltrated immune cells through comprehensive bioinformatic techniques. The six-gene cuproptosis-related signature exhibited remarkable predictive efficiency for AKI.…”
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  6. 1386

    In Vitro and In Silico Analysis of Bergenia ciliata and Mimosa pudica for Inhibition of α-Amylase by Mahesh Bohara, Sajani Ghaju, Kabita Sharma, Surya Kant Kalauni, Karan Khadayat

    Published 2022-01-01
    “…The biological potential of the reported phytochemicals was also assessed by using bioinformatic tools. Furthermore, the active phytochemicals from these plants were docked with human pancreatic α-amylase to study their inhibitory activities to this enzyme. …”
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    Article
  7. 1387

    Transcriptomic-Based Identification of miR-125a Novel Targets in Human Hepatocarcinoma Cells by Ilenia De Leo, Nicola Mosca, Mariaceleste Pezzullo, Danila Valletta, Francesco Manfrevola, Vincenza Grazia Mele, Rosanna Chianese, Aniello Russo, Nicoletta Potenza

    Published 2025-01-01
    “…The merging of down-regulated genes with results from bioinformatic predictive tools yielded a number of candidate direct targets that were further experimentally validated by luciferase-based reporter assays. …”
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    Article
  8. 1388

    OMIC Technologies and Vaccine Development: From the Identification of Vulnerable Individuals to the Formulation of Invulnerable Vaccines by Nicola Cotugno, Alessandra Ruggiero, Veronica Santilli, Emma Concetta Manno, Salvatore Rocca, Sonia Zicari, Donato Amodio, Manuela Colucci, Paolo Rossi, Ofer Levy, Federico Martinon-Torres, Andrew J. Pollard, Paolo Palma

    Published 2019-01-01
    “…Finally, we will discuss how system biology “OMICs” data can be used to design bioinformatic tools to predict the vaccination outcome providing genetic and molecular “signatures” of protective immune response. …”
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    Article
  9. 1389

    Placental Vimentin Expression in Preeclampsia and Gestational Diabetes Mellitus by Fırat Asir, Suleyman Cemil Oglak, Tugcan Korak, Fatih Tas, Mehmet Yilmaz, Fikri Erdemci, Firat Sahin, Hayat Ayaz, Emine Zeynep Yilmaz, Gokhan Bolluk

    Published 2024-04-01
    “…Vimentin expression was generally recorded as negative in placental villi, fibrinoid substances, and connective tissue cells in the GDM group. Bioinformatic analysis showed that the AGE-RAGE signaling pathway and cancer-related pathways were mainly observed in Vimentin-associated pathways, which finally activate inflammatory pathways in both preeclampsia and GDM. …”
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    Article
  10. 1390

    Proteomic Profiling and Functional Analysis of B Cell-Derived Exosomes upon Pneumocystis Infection by Dan Ma, Qian-Yu Zhang, Heng-Mo Rong, Kan Zhai, Zhao-Hui Tong

    Published 2022-01-01
    “…In this study, using tandem mass tag-based quantitative proteomics coupled with bioinformatic analysis, we attempted to characterize exosomes derived from B lymphocytes in response to PCP. …”
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    Article
  11. 1391

    Structural Predictive Model of Presenilin-2 Protein and Analysis of Structural Effects of Familial Alzheimer’s Disease Mutations by Alejandro Soto-Ospina, Pedronel Araque Marín, Gabriel de Jesús Bedoya, Andrés Villegas Lanau

    Published 2021-01-01
    “…From a theoretical analysis, a preliminary bioinformatic study is made to find the phosphorylation patterns in the protein and the hydropathic index according to the polarity and chemical environment. …”
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  12. 1392

    Methods of yeast genome editing by A. S. Rozanov, V. N. Shlyahtun, L. A. Tekutieva, O. M. Son, S. V. Sizova, S. E. Peltek

    Published 2018-01-01
    “…Many high­throughput methods were developed in the second decade of the XXI century, including those used in genomics, transcriptomics, proteomics, metabolomics, interactomics, etc. Modern bioinformatic databases now allow one to rapidly process the increasing flow of information and model cellular processes. …”
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    Article
  13. 1393

    Microcephalic osteodysplastic primordial dwarfism type II in four Indian children with PCNT variants by Amit Singh, Mahak Garg, Mohammed Shariq, Preeti Khetarpal, Inusha Panigrahi

    Published 2025-01-01
    “…Data were analyzed using standard bioinformatic algorithms and possible causal variants identified. …”
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  14. 1394

    Dataset for comparative analysis of precision metagenomics and traditional methods in urinary tract infection diagnosticsNCBI by Rob E. Carpenter, Sadia Almas, Vaibhav K. Tamrakar, Rahul Sharma

    Published 2025-04-01
    “…The dataset includes 47 urine samples, each analyzed by microbial culture, PCR, and precision metagenomics, followed by bioinformatic classification using the Explify® platform. precision metagenomics identified significantly more uropathogens (62 distinct organisms) compared to PCR (19 organisms) and microbial culture (13 organisms), with 98 % of samples testing positive for polymicrobial infections via precision metagenomics. …”
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  15. 1395

    Structure and Expression Analyses of SVA Elements in Relation to Functional Genes by Yun-Jeong Kwon, Yuri Choi, Jungwoo Eo, Yu-Na Noh, Jeong-An Gim, Yi-Deun Jung, Ja-Rang Lee, Heui-Soo Kim

    Published 2013-09-01
    “…SINE-VNTR-Alu (SVA) elements are present in hominoid primates and are divided into 6 subfamilies (SVA-A to SVA-F) and active in the human population. Using a bioinformatic tool, 22 SVA element-associated genes are identified in the human genome. …”
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  16. 1396

    lncRNA HHIP-AS1 Promotes the Osteogenic Differentiation Potential and Inhibits the Migration Ability of Periodontal Ligament Stem Cells by Qianyi Qin, Haoqing Yang, Chen Zhang, Xiao Han, Jing Guo, Zhipeng Fan, Jie Guo

    Published 2021-01-01
    “…In addition, the RNA sequencing data showed that 356 mRNAs and 14 lncRNAs were upregulated, including receptor tyrosine kinase-like orphan receptor 2 and nuclear-enriched abundant transcript 1, while 185 mRNAs and 6 lncRNAs were downregulated, including fibroblast growth factor 5 and LINC00973, in HHIP-AS1-depleted PDLSCs. Bioinformatic analysis revealed several biological processes and signaling pathways related to HHIP-AS1 functions, including the PI3K-Akt signaling pathway and JAK-STAT signaling pathway. …”
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    Article
  17. 1397

    Extracellular Vesicle-Loaded Oncogenic lncRNA NEAT1 from Adipose-Derived Mesenchymal Stem Cells Confers Gemcitabine Resistance in Pancreatic Cancer via miR-491-5p/Snail/SOCS3 Axis by Rongxiang Wu, Zhan Su, Le Zhao, Ruifeng Pei, Yiren Ding, Deqiang Li, Shuo Zhu, Lu Xu, Wei Zhao, Wuyuan Zhou

    Published 2023-01-01
    “…The binding affinity among NEAT1, miR-491-5p, and Snail was identified through bioinformatic analysis and experimental validation. NEAT1 competitively bound to miR-491-5p to elevate Snail expression and diminish SOCS3 expression. …”
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    Article
  18. 1398

    CRIP1 inhibits cutaneous melanoma progression through TFAM-mediated mitochondrial biogenesis by Jianqiang Wu, Lixia Chen, Peijun Wen

    Published 2025-02-01
    “…However, the biological function and underlying mechanisms of CRIP1 in melanoma progression are largely unknown. Bioinformatic prediction of CRIP1 expression in melanoma and its association with clinical parameters and prognosis of patients. …”
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    Article
  19. 1399

    Alternative splicing expands the antiviral IFITM repertoire in Chinese rufous horseshoe bats. by Nelly S C Mak, Jingyan Liu, Dan Zhang, Jordan Taylor, Xiaomeng Li, Kazi Rahman, Feiyu Chen, Siddhartha A K Datta, Kin Kui Lai, Zhengli Shi, Nigel Temperton, Aaron T Irving, Alex A Compton, Richard D Sloan

    Published 2024-12-01
    “…In parallel with human IFITM1-3, bat IFITM isoforms localize to distinct sites of virus entry which influences their antiviral potency. Further bioinformatic analysis of IFITM repertoires in 206 mammals reveals that alternative splicing is a recurring strategy for IFITM diversification, albeit less widely adopted than gene duplication. …”
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    Article
  20. 1400

    Tumor mutational burden quantification from targeted gene panels: major advancements and challenges by Sara Gandini, Laura Fancello, Pier Giuseppe Pelicci, Luca Mazzarella

    Published 2019-07-01
    “…Moreover, we highlight how various experimental, platform-related or methodological variables, as well as bioinformatic pipelines, influence panel-based TMB quantification. …”
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