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Showing 401 - 420 results of 814 for search '(( effective microarray ) OR ( (selection OR selective) microarray ))', query time: 0.15s Refine Results
  1. 401
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  3. 403

    Tissue-restricted expression of Nrf2 and its target genes in zebrafish with gene-specific variations in the induction profiles. by Hitomi Nakajima, Yaeko Nakajima-Takagi, Tadayuki Tsujita, Shin-Ichi Akiyama, Takeshi Wakasa, Katsuki Mukaigasa, Hiroshi Kaneko, Yutaka Tamaru, Masayuki Yamamoto, Makoto Kobayashi

    Published 2011-01-01
    “…Seven zebrafish genes (gstp1, mgst3b, prdx1, frrs1c, fthl, gclc and hmox1a) suitable for WISH analysis were selected from candidates for Nrf2 targets identified by microarray analysis. …”
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    Article
  4. 404

    Inferring pathway activity toward precise disease classification. by Eunjung Lee, Han-Yu Chuang, Jong-Won Kim, Trey Ideker, Doheon Lee

    Published 2008-11-01
    “…The advent of microarray technology has made it possible to classify disease states based on gene expression profiles of patients. …”
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  5. 405
  6. 406

    High-Resolution Genomic Profiling of Chromosomal Abnormalities in Human Stem Cells Using the 135 K StemArray by Aaron M. Elliott, Kristi A. Hohenstein Elliott, Anja Kammesheidt

    Published 2012-01-01
    “…Determining the copy number variant (CNV) profile of stem cell lines is critical since CNVs can have dramatic effects on gene expression and tumorigenic potential. …”
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    Article
  7. 407

    ASSOCIATION OF THE COMBINATION OF STEMNESS GENE AMPLIFICATIONS AND COPY NUMBER ABERRATIONS OF WNT-SIGNALING GENES IN BREAST TUMORS WITH METASTASIS by N. V. Litviakov, M. K. Ibragimova, M. M. Tsyganov, I. V. Deriusheva, A. M. Pevsner, E. Yu. Garbukov, A. V. Doroshenko, E. M. Slonimskaya

    Published 2020-07-01
    “…The tumor DNA was examined using a CytoScanHD Array microarray (Affymetrix, USA).Results. By subtracting amplification and deletion frequencies in 852 cytobands between groups with metastases and without metastases, 21 cytobands were identified with the largest difference in deletion and amplification frequencies. …”
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  8. 408
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    Low miR-936-mediated upregulation of Pim-3 drives sorafenib resistance in liver cancer through ferroptosis inhibition by activating the ANKRD18A/Src/NRF2 pathway by Xiao Li, Mengna Cui, Long Xu, Qie Guo

    Published 2024-10-01
    “…We intended to explore the mechanisms underlying the development of sorafenib resistance, therefore identifying an effective strategy to overcome sorafenib resistance remain challenges.MethodsHere, the follow-up of liver cancer patients undergoing sorafenib therapy, as well as animal tumor challenge and treatment were performed. …”
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  10. 410

    Single‐Cell Analysis Integrated With Machine Learning Elucidates the Mechanisms of Nucleus Pulposus Cells Apoptosis in Intervertebral Disc Degeneration and Therapeutic Intervention... by Chao Song, Xiaofei Wu, Chaoqi Chen, Baoxin Shen, Yongliang Mei, Qian Yan, Feng Jiang, Feng Chen, Fei Liu

    Published 2025-03-01
    “…When it comes to treating decoction, traditional Chinese medicine is effective. In particular, the Duhuo (Radix Angelicae Biseratae) may be particularly helpful. …”
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    Article
  11. 411

    Targeting HVEM-GPT2 axis: a novel approach to T cell activation and metabolic reprogramming in non-small cell lung cancer therapy by Yuanshan Yao, Chunji Chen, Bin Li, Wen Gao

    Published 2025-02-01
    “…Abstract Background The modulation of tumor microenvironments through immune checkpoint pathways is pivotal for the development of effective cancer immunotherapies. This study aims to explore the role of HVEM in non-small cell lung cancer (NSCLC) microenvironment. …”
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  12. 412

    The potential of MCM8 as a biomarker in esophageal carcinoma: a comprehensive analysis integrating m6a methylation and angiogenesis by Xu-Sheng Liu, Yong Xu, Li-Song Dai, Ao Li, Jie Liu, Yu Zhang, Jin Xie, Zhi-Jun Pei

    Published 2025-05-01
    “…Abstract Background Effective biomarkers for esophageal carcinoma (ESCA) are currently lacking. …”
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  13. 413

    Characterization of breast cancer tumors in older patients who show de novo resistance to endocrine therapy by Yumiko Ishizuka, Yoshiya Horimoto, Men Yuan, Yuko Ueki, Hiroko Onagi, Harumi Saeki, Takuo Hayashi, Tsuyoshi Saito, Takahiko Kawate, Takashi Ishikawa, Hidetaka Eguchi, Junichiro Watanabe, Goro Kutomi

    Published 2024-12-01
    “…While endocrine therapy is generally effective, some patients show disease progression from the beginning due to de novo resistance. …”
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    Article
  14. 414

    Integrated Bioinformatics Analysis of Hub Genes and Pathways in Anaplastic Thyroid Carcinomas by Xueren Gao, Jianguo Wang, Shulong Zhang

    Published 2019-01-01
    “…Through PPI analysis, TOP2A, TYMS, CCNB1, RACGAP1, FEN1, PRC1, and UBE2C were selected as hub genes, which were highly expressed in ATC tissues. …”
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  15. 415

    Cavin-3 knockout mice show that cavin-3 is not essential for caveolae formation, for maintenance of body composition, or for glucose tolerance. by Libin Liu, Carsten G Hansen, Brian J Honeyman, Benjamin J Nichols, Paul F Pilch

    Published 2014-01-01
    “…We find that loss of cavin-3 has minimal or no effects on the levels of other caveolar proteins, does not appear to play a major role in formation of protein complexes important for caveolar morphogenesis, and has no significant effect on caveolae abundance. …”
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  16. 416

    Exploring the role of ferroptosis in pemphigus: identification of diagnostic markers and regulatory mechanisms by Jing Mao, Jianping Lan, Zheyu Zhuang, Ying Chen, Ying Chen, Yushan Ou, Xinhong Su, Xueting Zeng, Fuchen Huang, Zequn Tong, Xiaoqing Lv, Xiaoqing Lv, Xiaoqing Lv, Hui Ke, Zhenlan Wu, Ying Zou, Bo Cheng, Bo Cheng, Bo Cheng, Chao Ji, Chao Ji, Chao Ji, Ting Gong

    Published 2025-06-01
    “…Machine learning algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) were used to select key ferroptosis-related genes. …”
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  17. 417

    A Synopsis of Serum Biomarkers in Cutaneous Melanoma Patients by Pierre Vereecken, Frank Cornelis, Nicolas Van Baren, Valérie Vandersleyen, Jean-François Baurain

    Published 2012-01-01
    “…However, the poor sensitivity and specificity of those markers and many other molecules are serious limitations for their routine use in both early (AJCC stage I and II) and advanced stages of melanoma (AJCC stage III and IV). Microarray technology and proteomic research will surely provide new candidates in the near future allowing more accurate definition of the individual prognosis and prediction of the therapeutic outcome and select patients for early adjuvant strategies.…”
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  18. 418

    Identification and validation of TSPAN13 as a novel temozolomide resistance-related gene prognostic biomarker in glioblastoma. by Haofei Wang, Zhen Liu, Zesheng Peng, Peng Lv, Peng Fu, Xiaobing Jiang

    Published 2025-01-01
    “…Using LASSO Cox analysis, we selected 12 TMZR-RDEGs to construct a risk score model, which was evaluated for performance through survival analysis, time-dependent ROC, and stratified analyses. …”
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  19. 419

    Have maternal or paternal ages any impact on the prenatal incidence of genomic copy number variants associated with fetal structural anomalies? by Marta Larroya, Marta Tortajada, Eduard Mensión, Montse Pauta, Laia Rodriguez-Revenga, Antoni Borrell

    Published 2021-01-01
    “…Pregnancies with any pathogenic copy number variant (CNV), either microdeletion or microduplication, were defined as cases. Controls were selected as the next two pregnancies with the same indication for CMA but with a normal result. …”
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  20. 420

    Cuproptosis genes in predicting the occurrence of allergic rhinitis and pharmacological treatment. by Ting Yi

    Published 2025-01-01
    “…<h4>Results</h4>Four AR signature genes (MRPS30, CLPX, MRPL13, and MRPL53) were selected by the MCC, EPC, BottleNeck, and Closeness algorithms. …”
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