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Showing 281 - 300 results of 326 for search '(( executive microarray ) OR ((( selective microarray ) OR ( selection microarray ))))', query time: 0.16s Refine Results
  1. 281

    Candidate gene biodosimetry markers of exposure to external ionizing radiation in human blood: A systematic review. by Jerome Lacombe, Chao Sima, Sally A Amundson, Frederic Zenhausern

    Published 2018-01-01
    “…Original English-language publications of microarray studies assessing radiation-induced changes in gene expression levels in human blood after external IR were included. …”
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    Article
  2. 282
  3. 283

    Inhibitory Effect of PRMT5/MTA Inhibitor on MTAP‐Deficient Glioma May Be Influenced by Surrounding Normal Cells by Yunjie Wang, Xiaohui Sun, Runchen Ma, Xiaofan Zhang, Shengmin Ji, Zhaofeng Liu, Gangqiang Yang, Hongbo Wang, Peng Zhang, Jianzhao Zhang, Jingwei Tian

    Published 2024-12-01
    “…In vitro and in vivo experiments have demonstrated that MRTX1719, a small molecule that selectively binds PRMT5/MTA complex, significantly inhibits the proliferation of MTAP‐deficient tumors and has a weak toxic effect on normal cells. …”
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    Article
  4. 284

    Etiology and outcomes of fetal renal abnormalities in Southern China: a single-tertiary-center study by Meiying Cai, Yashi Gao, Huili Xue, Xianguo Fu, Hua Cao, Liangpu Xu, Na Lin, Hailong Huang

    Published 2025-08-01
    “…We retrospectively analyzed data from 1,019 cases for which chromosomal microarray analysis (CMA) was performed; 58 CMA-negative fetuses were selected for whole-exome sequencing (WES). …”
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    Article
  5. 285

    A retrospective analysis of 6942 amniocentesis cases by Qingsha An, Yuxiao Huang, Feifei Yu, Yilun Tao, Juan Li, Xiaoze Li

    Published 2025-08-01
    “…Among the single-method cases, Chromosomal Microarray Analysis (CMA) was the most frequently selected technique (14.18%). …”
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    Article
  6. 286

    Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma by Domenico Pomarico, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti

    Published 2025-03-01
    “…In particular, quantum machine learning shows promising generalization capabilities, which we have exploited in the classification of hepatocellular carcinoma tissue based on microarray gene expressions. By using previously characterized genetic communities, we minimize the computational complexity associated with the number of qubits, enabling the execution of quantum-inspired algorithms on classical machines. …”
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    Article
  7. 287

    Highly immunoreactive IgG antibodies directed against a set of twenty human proteins in the sera of patients with amyotrophic lateral sclerosis identified by protein array. by Caroline May, Eckhard Nordhoff, Swaantje Casjens, Michael Turewicz, Martin Eisenacher, Ralf Gold, Thomas Brüning, Beate Pesch, Christian Stephan, Dirk Woitalla, Botond Penke, Tamás Janáky, Dezső Virók, László Siklós, Jozsef I Engelhardt, Helmut E Meyer

    Published 2014-01-01
    “…Amyotrophic lateral sclerosis (ALS), the most common adult-onset motor neuron disorder, is characterized by the progressive and selective loss of upper and lower motor neurons. Diagnosis of this disorder is based on clinical assessment, and the average survival time is less than 3 years. …”
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    Article
  8. 288

    A high-content small molecule screen identifies sensitivity of glioblastoma stem cells to inhibition of polo-like kinase 1. by Davide Danovi, Amos Folarin, Sabine Gogolok, Christine Ender, Ahmed M O Elbatsh, Pär G Engström, Stefan H Stricker, Sladjana Gagrica, Ana Georgian, Ding Yu, Kin Pong U, Kevin J Harvey, Patrizia Ferretti, Patrick J Paddison, Jane E Preston, N Joan Abbott, Paul Bertone, Austin Smith, Steven M Pollard

    Published 2013-01-01
    “…We used live-cell imaging and high content image analysis tools and identified JNJ-10198409 (J101) as an agent that induces mitotic arrest at prometaphase in GNS cells but not NS cells. Antibody microarrays and kinase profiling suggested that J101 responses are triggered by suppression of the active phosphorylated form of polo-like kinase 1 (Plk1) (phospho T210), with resultant spindle defects and arrest at prometaphase. …”
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    Article
  9. 289

    Tumor immune microenvironment permissive to metastatic progression of ING4-deficient breast cancer. by Emily Tsutsumi, Anne M Macy, Janine LoBello, Karen T Hastings, Suwon Kim

    Published 2024-01-01
    “…To characterize the tumor immune microenvironment associated with ING4-deficient tumors, three approaches were employed in this study: First, tissue microarrays composed of 246 primary breast tumors including 97 ING4-deficient tumors were evaluated for the presence of selective immune markers, CD68, CD4, CD8, and PD-1, using immunohistochemical staining. …”
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    Article
  10. 290

    Does Bilirubin Have a Causal Relationship With Vitiligo? A Mendelian Randomization Study and Bioinformatics Analysis by Xu D, Yin Y, Teng Y, Huang Y, Yu Y, Tao X, Fan Y, Ding X

    Published 2025-05-01
    “…This study aims to investigate the causal associations between bilirubin and vitiligo using Mendelian randomization (MR) analysis, complemented by bioinformatics validation to unravel the underlying molecular mechanisms.Methods: Genome-wide association study (GWAS) data pertaining to vitiligo and bilirubin were obtained, followed by the execution of a bidirectional MR analysis. Additionally, we performed a bioinformatics analysis using microarray datasets to identify differentially expressed genes (DEGs) in relation to bilirubin in patients with vitiligo. …”
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    Article
  11. 291

    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
    “…The kanMX6 and natMX6 markers allow selection under urg1 induced and repressed conditions, respectively. …”
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    Article
  12. 292

    Quantification of the heterogeneity of prognostic cellular biomarkers in ewing sarcoma using automated image and random survival forest analysis. by Claudia Bühnemann, Simon Li, Haiyue Yu, Harriet Branford White, Karl L Schäfer, Antonio Llombart-Bosch, Isidro Machado, Piero Picci, Pancras C W Hogendoorn, Nicholas A Athanasou, J Alison Noble, A Bassim Hassan

    Published 2014-01-01
    “…Using material from cohorts of genetically diagnosed Ewing sarcoma with EWSR1 chromosomal translocations, confocal images of tissue microarrays were segmented with level sets and watershed algorithms. …”
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    Article
  13. 293

    History and prospects of flax genetic markers by Daiana A. Zhernova, Elena N. Pushkova, Tatiana A. Rozhmina, Elena V. Borkhert, Alexander A. Arkhipov, Alexander A. Arkhipov, Elizaveta A. Sigova, Elizaveta A. Sigova, Ekaterina M. Dvorianinova, Ekaterina M. Dvorianinova, Alexey A. Dmitriev, Alexey A. Dmitriev, Nataliya V. Melnikova

    Published 2025-01-01
    “…Cost-effective and accurate analysis of large number of genotypes for multiple markers simultaneously using microarrays or targeted deep sequencing became available, as well as HRM, TaqMan, KASP, and other fluorescence-based high-throughput methods for detecting DNA polymorphisms. …”
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    Article
  14. 294

    A Narrative Review of Molecular, Immunohistochemical and In-Situ Techniques in Dermatopathology by J. A. Gabriel, N. Weerasinghe, P. Balachandran, R. Salih, G. E. Orchard

    Published 2024-12-01
    “…Moreover, molecular profiling is increasingly guiding the selection of therapeutic agents, ensuring a personalised and effective approach to managing skin disorders. …”
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    Article
  15. 295

    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
  16. 296

    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
  17. 297

    Rotterdam Oncology Documentation (RONCDOC) – a high-quality data warehouse and tissue collection for head and neck cancer by Arta Hoesseini, Emilie A. C. Dronkers, Eveline Dieleman, Maria J. De Herdt, Marjan. H. Wieringa, Marie-Louise F. van Velthuysen, Marinella P. J. Offerman, Aniel Sewnaik, Dominiek Monserez, Stijn Keereweer, Jose A. U. Hardillo, Robert Jan Baatenburg de Jong

    Published 2025-04-01
    “…Furthermore, a comprehensive validation protocol was developed to guarantee the quality of the data. Tissue microarrays (TMAs) were constructed from resection specimens of patients with primary oral squamous cell carcinoma. …”
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    Article
  18. 298

    Development and In Vitro Characterization of [<sup>3</sup>H]GMC-058 as Radioligand for Imaging Parkinsonian-Related Proteinopathies by Andrea Varrone, Vasco C. Sousa, Manolo Mugnaini, Sandra Biesinger, Gunnar Nordvall, Lee Kingston, Ileana Guzzetti, Charles S. Elmore, Dan Sunnemark, Dinahlee Saturnino Guarino, Sjoerd J. Finnema, Magnus Schou

    Published 2025-06-01
    “…[<sup>3</sup>H]GMC-058 was the only compound with negligible binding in controls, and was further evaluated using tissue microarrays, autoradiography on fresh-frozen brain slices, and in vitro saturation binding assay on brain homogenates. …”
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    Article
  19. 299

    Effects of tumour-associated macrophages on cardia carcinoma progression by Zhixiong Zhang, Zihong Xu, Yaowu Cai, Xintong Chen, Chaoqing Huang, Xuefeng Xu

    Published 2025-07-01
    “…Methods Cancer tissue and pericancer tissue samples from 80 patients with cardia carcinoma who underwent D2 radical surgery between January 2014 and January 2015 at Putian First Hospital were selected. Tissue microarrays were fabricated, and immunohistochemistry technology was used to detect the infiltration of TAMs (CD163 as a marker) and to analyse their relationship with the clinicopathological characteristics of the patients. …”
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  20. 300

    MaGIC: a program to generate targeted marker sets for genome-wide association studies by Claire L. Simpson, Valerie K. Hansen, Pak C. Sham, Andrew Collins, John F. Powell, Ammar Al-Chalabi

    Published 2004-12-01
    “…High-throughput genotyping technologies such as DNA pooling and DNA microarrays mean that whole-genome screens are now practical for complex disease gene discovery using association studies. …”
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    Article