Showing 15,061 - 15,080 results of 16,050 for search '"molecular"', query time: 0.12s Refine Results
  1. 15061

    Azole Resistance and <i>ERG11</i> Mutation in Clinical Isolates of <i>Candida tropicalis</i> by Adriele Celine Siqueira, Gisele Aparecida Bernardi, Lavinia Nery Villa Stangler Arend, Gabrielle Tomé Cordeiro, Daiane Rosolen, Fernanda Costa Brandão Berti, Amanda Maria Martins Ferreira, Thaís Muniz Vasconcelos, Bianca Cruz Neves, Luiza Souza Rodrigues, Libera Maria Dalla-Costa

    Published 2025-01-01
    “…We investigated the molecular mechanisms underlying azole resistance in seven <i>Candida tropicalis</i> isolates that caused candidemia and candiduria in Paraná, Brazil (2016–2022). …”
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  2. 15062

    Identification of cancer cell-intrinsic biomarkers associated with tumor progression and characterization of SFTA3 as a tumor suppressor in lung adenocarcinomas by Yu Zhao, Chengcheng Zhou, Ling Zuo, Haoming Yan, Yuhan Gu, Hong Liu, Guiping Yu, Xiaorong Zhou

    Published 2025-01-01
    “…RNA sequencing was performed to elucidate the molecular mechanisms underlying the role of SFTA3 in lung cancer cells. …”
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  3. 15063

    The Anthelmintic Activity of <i>Nepeta racemosa</i> Lam. Against Gastrointestinal Nematodes of Sheep: Rosmarinic Acid Quantification and In Silico Tubulin-Binding Studies by Büşra Karpuz Ağören, Mahmut Sinan Erez, Esma Kozan, Aydın Dağyaran, Mevlüt Akdağ, Eduardo Sobarzo-Sánchez, Esra Küpeli Akkol

    Published 2025-01-01
    “…MeOH extract, <i>n</i>-hexane, dichloromethane (DCM), ethyl acetate (EtOAc), <i>n</i>-buthanol (<i>n</i>-BuOH) and aqueous (H<sub>2</sub>O) subextracts, and quantify rosmarinic acid in the active extract by the HPLC method, and perform in silico molecular docking studies of rosmarinic acid to examine its binding interactions with tubulin. …”
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  4. 15064

    PTOV1 exerts pro-oncogenic role in colorectal cancer by modulating SQSTM1-mediated autophagic degradation of p53 by Yongli Fan, Yuqin Li, Xia Luo, Shiqi Xiang, Jia Hu, Jingchun Zhan, Weilong Chang, Rui Deng, Xianwen Ran, Yize Zhang, Yudie Cai, Weiwei Zhu, Huifen Wang, Zhibo Liu, Di Wang

    Published 2025-02-01
    “…The upregulated PTOV1 promoted cell proliferation, migration, invasion, tumor growth and metastasis of CRC cells in vitro and in vivo. At the molecular level, PTOV1 destabilized p53 by activating autophagy and recruiting p53 for the cargo receptor SQSTM1 directed autophagic degradation. …”
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  5. 15065
  6. 15066

    Individualized gray matter morphological abnormalities unveil two neuroanatomical obsessive-compulsive disorder subtypes by Baohong Wen, Keke Fang, Qiuying Tao, Ya Tian, Lianjie Niu, Wenqing Shi, Zijun Liu, Jin Sun, Liang Liu, Xiaopan Zhang, Ruiping Zheng, Hui-Rong Guo, Yarui Wei, Yong Zhang, Jingliang Cheng, Shaoqiang Han

    Published 2025-01-01
    “…To gain deeper insights into the connectomic and molecular underpinnings of structural brain abnormalities in the identified subtypes, we investigated their associations with normal brain network architecture and the distribution of neurotransmitter receptors/transporters. …”
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  7. 15067

    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. Then, molecular docking between hub RDEGs and RosA was performed, and further evaluation was carried out by using bioinformatics for the predictive value of the hub RDEGs. …”
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  8. 15068

    Identification of Co-Expression Modules of Cotton Plant Height-Related Genes Based on Weighted Gene Co-Expression Network Analysis by Qian Huang, Li Liu, Hang Li, Xuwen Wang, Aijun Si, Liangrong He, Yu Yu

    Published 2025-01-01
    “…This study offers theoretical insights into the molecular mechanisms underlying cotton plant height and provides valuable references for breeding new cotton varieties with optimized plant heights.…”
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  9. 15069
  10. 15070
  11. 15071

    Multilevel plasticity and altered glycosylation drive aggressiveness in hypoxic and glucose-deprived bladder cancer cells by Andreia Peixoto, Dylan Ferreira, Andreia Miranda, Marta Relvas-Santos, Rui Freitas, Tim S. Veth, Andreia Brandão, Eduardo Ferreira, Paula Paulo, Marta Cardoso, Cristiana Gaiteiro, Sofia Cotton, Janine Soares, Luís Lima, Filipe Teixeira, Rita Ferreira, Carlos Palmeira, Albert J.R. Heck, Maria José Oliveira, André M.N. Silva, Lúcio Lara Santos, José Alexandre Ferreira

    Published 2025-02-01
    “…Summary: Bladder tumors with aggressive characteristics often present microenvironmental niches marked by low oxygen levels (hypoxia) and limited glucose supply due to inadequate vascularization. The molecular mechanisms facilitating cellular adaptation to these stimuli remain largely elusive. …”
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  12. 15072
  13. 15073

    Two-dimensional cell membrane chromatography guided screening of myocardial protective compounds from Yindan Xinnaotong soft capsule by Si-Min Shao, Xuan Ji, Xing Wang, Run-Zhou Liu, Yu-Ru Cai, Xiaobing Lin, Ze-Jie Zeng, Ling Chen, Liu Yang, Hua Yang, Wen Gao

    Published 2025-01-01
    “…Furthermore, all 24 screened compounds exhibit strong binding affinities with FOXO3 evaluated by molecular docking. Conclusion A highly stable and efficient 2D imidazole-modified H9c2/CMC-RPLC-MS system was developed, allowing for the screening of potentially active compounds from YD. …”
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  14. 15074
  15. 15075
  16. 15076

    Suppression of epileptic seizures by transcranial activation of K+-selective channelrhodopsin by Xiaodong Duan, Chong Zhang, Yujie Wu, Jun Ju, Zhe Xu, Xuanyi Li, Yao Liu, Schugofa Ohdah, Oana M. Constantin, Yifan Pan, Zhonghua Lu, Cheng Wang, Xiaojing Chen, Christine E. Gee, Georg Nagel, Sheng-Tao Hou, Shiqiang Gao, Kun Song

    Published 2025-01-01
    “…In this study, we developed a highly sensitive moderately K+-selective channelrhodopsin (HcKCR1-hs) by molecular engineering of the recently discovered Hyphochytrium catenoides kalium (potassium) channelrhodopsin 1. …”
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  17. 15077

    Morpho-cultural, pathogenic, and genetic characterization of Indian isolates of Macrophomina phaseolina causing charcoal rot in soybean by Laxman Singh Rajput, Sanjeev Kumar, Kriti Pathak, Palak Acharya, Divyanshu Goswami, Vennampally Nataraj, Maranna Shivakumar, Hemant Singh Maheshwari, Saloni Mandloi, Sapna Jaiswal, Asha Yadav, Raksha Vishwakarma

    Published 2025-01-01
    “…These isolates were examined for morpho-cultural, molecular, and pathogenic variability. All these isolates were pathogenic to the soybean and had significant variability for different Morpho-cultural characters. …”
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  18. 15078
  19. 15079

    Predicting Axillary Lymph Node Metastasis in Young Onset Breast Cancer: A Clinical-Radiomics Nomogram Based on DCE-MRI by Dong X, Meng J, Xing J, Jia S, Li X, Wu S

    Published 2025-01-01
    “…Precisely forecasting axillary lymph node metastasis (ALNM) is essential for customizing treatment plans and enhancing patient results.Objective: This research sought to create and verify a clinical-radiomics nomogram that combines radiomic features from Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) with standard clinical predictors to improve the accuracy of predicting ALNM in young breast cancer patients.Methods: We performed a retrospective analysis at one facility, involving the creation and validation of a nomogram in two stages.At first, a medical model was developed utilizing conventional indicators like tumor dimensions, molecular classifications, multifocal presence, and MRI-determined ALN status.A more detailed clinical-radiomics model was subsequently developed by integrating radiomic characteristics derived from DCE-MRI images.These models were created using logistic regression analyses on a training dataset, and their effectiveness was assessed by measuring the area under the receiver operating characteristic curve (AUC) in a separate validation dataset.Results: The clinical-radiomics nomogram surpassed the clinical-only model, recording an AUC of 0.892 in the training dataset and 0.877 in the validation dataset.Significant predictors included MRI-reported ALN status and select radiomic features, which markedly enhanced the model’s predictive capacity.Conclusion: Integrating radiomic features with clinical predictors in a nomogram significantly improves ALNM prediction in young onset breast cancer, providing a valuable tool for personalized treatment planning. …”
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  20. 15080

    Developing a Prototype Machine Learning Model to Predict Quality of Life Measures in People Living With HIV by Mercadal-Orfila G, Serrano López de las Hazas J, Riera-Jaume M, Herrera-Perez S

    Published 2025-01-01
    “…Gabriel Mercadal-Orfila,1,2 Joaquin Serrano López de las Hazas,3 Melchor Riera-Jaume,4 Salvador Herrera-Perez5 1Pharmacy Department, Hospital Mateu Orfila, Maón, Spain; 2Department of Biochemistry and Molecular Biology, Universitat de Les Illes Balears (UIB), Palma de Mallorca, Spain; 3Pharmacy Department, Hospital Universitario Son Llàtzer, Palma de Mallorca, Spain; 4Unidad de Enfermedades Infecciosas, Servicio de Medicina Interna, Hospital Universitario Son Espases, Palma de Mallorca, Spain; 5Facultad de Ciencias de la Salud, Universidad Internacional de Valencia, Valencia, EspañaCorrespondence: Salvador Herrera-Perez; Gabriel Mercadal-Orfila, Email salva.herrera@me.com; bielmercadal@gmail.comBackground: In the realm of Evidence-Based Medicine, introduced by Gordon Guyatt in the early 1990s, the integration of machine learning technologies marks a significant advancement towards more objective, evidence-driven healthcare. …”
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