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Showing 721 - 740 results of 814 for search '(( effective microarray ) OR ( selective microarray ))*', query time: 0.11s Refine Results
  1. 721

    Transcriptomic analysis of neural stem and progenitor cells in comparison with glioblastoma stem cells by V. E. Shevchenko, N. E.  Arnotskaya, T.  I. Kushnir, A. S. Bryukhovetskiy

    Published 2023-12-01
    “…To conduct a comparative transcriptomic analysis of CD133+-NSPCs and CD133+-GSCs to study the molecular genetic differences between the phenotypes of these cells and identify potential targets for therapeutic effects on GSCs.Materials and methods. Used: highly sensitive transcriptomic analysis on high-density microarrays, cellular technologies, modern bioinformatics analysis.Results. …”
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    Article
  2. 722

    GPX3 promotes cisplatin resistance in TNBC by manipulating ROS-TGFB1-ZEB2 by Qingyi Hu, Qianzhi Chen, Wen Yang, Anwen Ren, Jie Tan, Tao Huang

    Published 2025-07-01
    “…The correlation between the expression level of GPX3, TGFB1, and ZEB2 was analyzed using breast cancer microarrays and the TCGA database. The effect of GPX3 on platinum sensitivity in TNBC was studied using a mouse xenograft model. …”
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    Article
  3. 723

    Phosphoribosyl transferase domain containing 1: A prognostic biomarker in testicular germ cell tumors by Peisheng Huang, Yihao Chen, Yongcheng Shi, Chuanfan Zhong, Huawei Lin, Xiaoxue Yu, Kai Chen, Zhuoya Huang, Le Zhang, Shumin Fang, Jianming Lu, Jiahong Chen

    Published 2025-06-01
    “…Immunohistochemistry on tissue microarrays validated PRTFDC1’s predictive value in clinical samples. …”
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    Article
  4. 724

    Targeting Mesothelin Enhances Personalized Neoantigen Vaccine Induced Antitumor Immune Response in Orthotopic Pancreatic Cancer Mouse Models by Zhixiong Cai, Zhenli Li, Wenting Zhong, Fangzhou Lin, Xiuqing Dong, Honghao Ye, Yutong Guo, Geng Chen, Xiaoling Yu, Haijun Yu, Ruijing Tang, Xiaolong Liu

    Published 2025-03-01
    “…Abstract The immunosuppressive microenvironment in pancreatic cancer, characterized by low tumor‐specific T cells and excessive fibrosis, limits the effectiveness of immunotherapy. Here, three datasets and multi‐immunofluorescence staining of tissue microarrays in pancreatic cancer indicate that mesothelin (MSLN) expression negatively correlates with cytotoxic T cells in tumor. …”
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    Article
  5. 725

    Silibinin attenuates ferroptosis in acute kidney injury by targeting FTH1 by Yijian Deng, Liying Zeng, Huaxi Liu, Anna Zuo, Jie Zhou, Ying Yang, Yanting You, Xinghong Zhou, Baizhao Peng, Hanqi Lu, Shuai Ji, Ming Wang, Yigui Lai, Hiu Yee Kwan, Xiaomin Sun, Qi Wang, Xiaoshan Zhao

    Published 2024-11-01
    “…Finally, the inhibitory effects of silibinin on ferroptosis were reversed by knocking down FTH1 in vitro. …”
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    Article
  6. 726

    Platelet-derived exosomal LINC00183 facilitate colorectal cancer malignant progression driven by histone lactylation through stabilizing ENO1 by Guoqing Su, Jinghang Qian, Yi Wang, Yu Zhu, Yanyan Chen, Jingru Shen, Jiayuan Jiang, Yuepeng Cao, Nannan Wang, Xing Huang, Chengshuai Si, Xu Zhang, Peng Shao, Yongxia Ye, Yang Wang, Jun Bao, Liu Yang

    Published 2025-08-01
    “…Analysis of CRC tissue microarrays and TCGA-CRC patient data indicated that LINC00183 is often overexpressed in CRC, in association with advanced tumor stage and poor survival. …”
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    Article
  7. 727

    Identification of vascular and hematopoietic genes downstream of etsrp by deep sequencing in zebrafish. by Gustavo Gomez, Jae-Hyung Lee, Matthew B Veldman, Jing Lu, Xinshu Xiao, Shuo Lin

    Published 2012-01-01
    “…Several novel genes expressed in vasculature have been identified through transcriptional profiling of zebrafish embryos overexpressing etsrp by microarrays. Here we re-examined this transcriptional profile by Illumina RNA-sequencing technology, revealing a substantially increased number of candidate genes regulated by etsrp. …”
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  8. 728

    The transcription factor SOX18 regulates the expression of matrix metalloproteinase 7 and guidance molecules in human endothelial cells. by Martina Hoeth, Heide Niederleithner, Renate Hofer-Warbinek, Martin Bilban, Herbert Mayer, Ulrike Resch, Christof Lemberger, Oswald Wagner, Erhard Hofer, Peter Petzelbauer, Rainer de Martin

    Published 2012-01-01
    “…Knock-down of SOX18 using RNA interference was then used to confirm the effect of the transcription factor on selected genes that included the guidance molecules ephrin B2 and semaphorin 3G. …”
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    Article
  9. 729

    Distribution of Recessive Genetic Defect Carriers in Holstein Friesian Cattle: A Polish Perspective by Marta Gozdek, Sebastian Mucha, Adam Prostek, Dariusz Kamola, Tomasz Sadkowski

    Published 2024-11-01
    “…The studies were performed using Illumina Infinium microarrays. Among both bulls and cows, the highest numbers of carriers were detected for HH5 (appropriately 6.7% and 5.4%). …”
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    Article
  10. 730

    The Impact of Antenatal and Postnatal Factors on the Development of the Pulmonary Microvasculature in Preterm Infants by Raluca Chirculescu, Ruxandra Viorica Stănculescu, Paul Cristian Bălănescu, Gheorghe Peltecu

    Published 2025-05-01
    “…<b>Methods</b>: The investigation analyzed 67 cases of preterm infants, whose lifespans ranged from 1 day to 149 days. After selecting the cases from the autopsy database, two lung tissue microarrays were created. …”
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    Article
  11. 731

    Advanced strategies for screening and identifying RNA-targeted small molecules: Bridging therapeutic potential and innovation by Zukela Ruzi, Daxiong Han, Kailibinuer Aierken

    Published 2025-05-01
    “…However, their dynamic nature and structural complexity have historically posed challenges in developing small molecules with high affinity and selectivity. In recent years, significant advancements in screening methodologies, such as high-throughput screening (HTS), small molecule microarrays (SMMs), and DNA-encoded libraries (DELs), have facilitated the identification of RNA-binding small molecules with enhanced specificity. …”
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  12. 732
  13. 733
  14. 734

    A nomogram for predicting 3-year total weight loss percentage following LSG: insights from visceral adipose tissue inflammatory methylation sites by Zhehong Li, Liang Wang, Zheng Wang, Qiqige Wuyun, Buhe Amin, Dongbo Lian, Guangzhong Xu, Nengwei Zhang, Dezhong Wang

    Published 2025-07-01
    “…Comparative analyses of 850K methylation microarrays from VAT samples were performed to identify methylation sites associated with INF-related genes. …”
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    Article
  15. 735

    urg1: a uracil-regulatable promoter system for fission yeast with short induction and repression times. by Stephen Watt, Juan Mata, Luis López-Maury, Samuel Marguerat, Gavin Burns, Jürg Bähler

    Published 2008-01-01
    “…<h4>Methodology/principal findings</h4>We used S. pombe microarrays to identify three neighbouring genes (urg1, urg2, and urg3) whose transcript levels rapidly and strongly increased in response to uracil, a condition which otherwise had little effect on global gene expression. …”
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  16. 736

    Elucidation of Dysregulated Pathways Associated With Hypoxia in Oestrogen Receptor‐Negative Breast Cancer by Suad A. K. Shamis, Jean Quinn, Sara Al‐Badran, Molly McKenzie, Phimmada Hatthakarnkul, Gerard Lynch, Guang‐Yu Lian, Warapan Numprasit, Laszlo Romics Jr., Ditte Andersen, Elizabeth Mallon, Donald C. McMillan, Joanne Edwards

    Published 2024-12-01
    “…Methods Immunohistochemistry was performed to identify the prognostic role of CAIX protein expression in ER− tissue microarrays (TMAs) (n = 191). CAIX‐positive samples (n = 37) were transcriptionally profiled by TempO‐Seq and analysed by STRING. …”
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    Article
  17. 737

    Decoding the prognostic landscape of LUAD: the interplay between N6-methyladenosine modification and immune microenvironment by Quan Chen, Quan Chen, Weijun Wan, Qing Zhao, Juan Li, Juan Li, Yanli Xiong, Yanli Xiong, Yuchuan Yuan, Lu Tang, Xiaofeng Wu, Wei Xing, Wei Guo, Di Lu, Luoquan Ao, Xiang Xu, Xiang Xu, Xiang Xu, Xiang Ao, Xiang Ao, Xiang Ao

    Published 2024-12-01
    “…A risk score model was constructed using least absolute shrinkage and selection operator regression and validated in two independent cohorts and LUAD tissue microarrays. …”
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    Article
  18. 738

    Applicability of epigenetic age models to next-generation methylation arrays by Leonardo D. Garma, Miguel Quintela-Fandino

    Published 2024-10-01
    “…As new methylation microarrays are developed and older models discontinued, existing epigenetic clocks might become obsolete. …”
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    Article
  19. 739

    NONO regulates m5C modification and alternative splicing of PTEN mRNAs to drive gastric cancer progression by Gaichao Zhao, Ruochen liu, Lingjun Ge, Dan Qi, Qishu Wu, Zini Lin, Houji Song, Liping Zhong, Hongjuan Cui

    Published 2025-03-01
    “…Abstract Background The effect of m5C modification on oncogene mRNAs has been well studied, while little is known about its influence on mRNAs of tumor suppressor genes (TSGs). …”
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  20. 740

    Alliin, a Garlic (Allium sativum) Compound, Prevents LPS-Induced Inflammation in 3T3-L1 Adipocytes by Saray Quintero-Fabián, Daniel Ortuño-Sahagún, Manuel Vázquez-Carrera, Rocío Ivette López-Roa

    Published 2013-01-01
    “…However its potential anti-inflammatory effect is unknown. We examined the effects of alliin in lipopolysaccharide- (LPS-) stimulated 3T3-L1 adipocytes by RT-PCR, Western blot, and microarrays analysis of 22,000 genes. …”
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    Article