Showing 81 - 100 results of 322 for search '(( elective microarray ) OR ( (selective OR selective) microarray ))', query time: 0.11s Refine Results
  1. 81
  2. 82

    Exposing Optimal Feature Sets for Enhancing Machine Learning Performance by Hiba Mohammed Al-Marwai, Ghaleb H. Al-Gaphari, Mohammed Mohammed Zayed

    Published 2025-01-01
    “…To evaluate the effectiveness of our approach, we conduct experiments on benchmark microarray datasets from the ADNI database. Comparative analysis is performed against six traditional single objective methods and five other existing multiobjective methods. …”
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  3. 83
  4. 84

    Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B‐cell lymphoma by Mei‐wei Li, Feng‐xiang Huang, Zu‐cheng Xie, Hao‐yuan Hong, Qing‐yuan Xu, Zhi‐gang Peng

    Published 2023-02-01
    “…Results Twelve prognosis‐correlated snoRNAs were selected from the DLBCL patient cohort of microarray profiles, and a three‐snoRNA signature consisting of SNORD1A, SNORA60, and SNORA66 was constructed. …”
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  5. 85

    Protein-specific immune response elicited by the Shigella sonnei 1790GAHB GMMA-based candidate vaccine in adults with varying exposure to Shigella by Arlo Z. Randall, Valentino Conti, Usman Nakakana, Xiaowu Liang, Andy A. Teng, Antonio Lorenzo Di Pasquale, Melissa Kapulu, Robert Frenck, Odile Launay, Pietro Ferruzzi, Antonella Silvia Sciré, Elisa Marchetti, Christina Obiero, Jozelyn V. Pablo, Joshua Edgar, Philip Bejon, Adam D. Shandling, Joseph J. Campo, Angela Yee, Laura B. Martin, Audino Podda, Francesca Micoli

    Published 2025-05-01
    “…An ideal vaccine would provide protection against the most prevalent species, Shigella flexneri and Shigella sonnei; therefore, it could be relevant to identify common antigens. We developed a microarray containing 3,150 full-length or fragmented proteins selected across Shigella species. …”
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  6. 86

    Expression of long non-coding RNA in patients with non-IgA mesangial proliferative glomerulonephritis by CONG Shan, SUI Wei-guo, ZOU Gui-mian, XUE Wen, LI Huan, YAN Qiang, CHEN Jie-jing, LUO Ya-dan, CHEN Huai-zhou

    Published 2015-01-01
    “…Objective To study differential expression profile of mRNA and long non-coding RNA(IncRNA) through microarray analysis between non-IgA mesangial proliferative glomerulonephritis(MsPGN) patients and the controls,and then explore the potential role of IncRNA in the pathogenesis of non-IgA MsPGN.Methods Through simple random sampling,4 patients with non-IgA MsPGN and 2 controls were selected as disease group and control group,respectively.Renal cortical tissues from two groups were collected.Total RNA was extracted,quantified and prepared to ds-cDNA through reverse transcription ds-cDNA was labeled with NimbleGen one-color DNA labeling kit and used for array hybridization.All experimental data were processed through GO analysis,Pathway analysis and the gene loci correlation analysis of mRNA and IncRNA.Some IncRNAs that were closely related to non-IgA MsPGN were screened out.Finally,part of the array results was detected by PCR to verify the reliability of array test Results By fold change filtering,4317 differentially expressed mRNAs and 3502 differentially expressed IncRNAs were screened out.Five IncRNAs were found to play potential roles in the pathogenesis of non-IgA MsPGN:AF1180924(close to coding gene FGG),AK092233(close to coding gene COL18A1),AK130579(close to coding gene CREBBP),AK023598(close to coding gene LEPR),and AK055915(close to coding gene CDC42EP3).These results provided an important basis for revealing the pathogenesis of non-IgA MsPGN.Conclusions Some IncRNAs can potentially regulate related genes and plays an important role in the pathogenesis and development of non-IgA MsPGN.…”
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  7. 87
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    Analysis of Gene Expression in Human Dermal Fibroblasts Treated with Senescence-Modulating COX Inhibitors by Jeong A. Han, Jong-Il Kim

    Published 2017-06-01
    “…In contrast, celecoxib, another COX-2–selective inhibitor, and aspirin, a non-selective COX inhibitor, accelerated the senescence and aging. …”
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  11. 91

    A multi-omic meta-analysis reveals novel mechanisms of insecticide resistance in malaria vectors by Sanjay C. Nagi, Victoria A. Ingham

    Published 2025-05-01
    “…This study, employing a cross-species approach, integrates RNA-Sequencing, whole-genome sequencing, and microarray data to elucidate drivers of insecticide resistance in Anopheles gambiae complex and An. funestus. …”
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  12. 92

    Nanomaterials based biosensors applied for detection of aflatoxin B1 in cereals: a review by Loyce Namanya, Emma Panzi Mukhokosi, Ediriisa Mugampoza

    Published 2025-01-01
    “…However, more studies are needed to address the automatic simultaneous detection of various aflatoxins in real samples and a biosensing system that integrates with microarray technology.…”
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  13. 93

    Two stable variants of Burkholderia pseudomallei strain MSHR5848 express broadly divergent in vitro phenotypes associated with their virulence differences. by A A Shea, R C Bernhards, C K Cote, C J Chase, J W Koehler, C P Klimko, J T Ladner, D A Rozak, M J Wolcott, D P Fetterer, S J Kern, G I Koroleva, S P Lovett, G F Palacios, R G Toothman, J A Bozue, P L Worsham, S L Welkos

    Published 2017-01-01
    “…Microscopic and colony morphology differences on six differential media were observed and only the Rough variant metabolized sugars in selective agar. Antimicrobial susceptibilities and lipopolysaccharide (LPS) features were characterized and phenotype microarray profiles revealed distinct metabolic and susceptibility disparities between the variants. …”
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  14. 94

    The impact of the nucleosome code on protein-coding sequence evolution in yeast. by Tobias Warnecke, Nizar N Batada, Laurence D Hurst

    Published 2008-11-01
    “…We identify nucleosome positioning as a likely candidate to set up such a DNA-level selective regime and use high-resolution microarray data in yeast to compare the evolution of coding sequence bound to or free from nucleosomes. …”
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  15. 95

    The transcription factors Snail and Slug activate the transforming growth factor-beta signaling pathway in breast cancer. by Archana Dhasarathy, Dhiral Phadke, Deepak Mav, Ruchir R Shah, Paul A Wade

    Published 2011-01-01
    “…In order to obtain a global view of the impact of Snail and Slug expression, we performed a microarray experiment using the MCF-7 breast cancer cell line, which does not express detectable levels of Snail or Slug. …”
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  16. 96

    Prevention of hypovolemic circulatory collapse by IL-6 activated Stat3. by Jeffrey A Alten, Ana Moran, Anna I Tsimelzon, Mary-Ann A Mastrangelo, Susan G Hilsenbeck, Valeria Poli, David J Tweardy

    Published 2008-02-01
    “…Pre-treatment of rats with a selective inhibitor of Stat3, T40214, reduced the IL-6-mediated increase in cardiac Stat3 activity, blocked successful resuscitation by IL-6 and reversed IL-6-mediated protection from cardiac apoptosis. …”
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  17. 97

    Pharmacologic inhibition of CSF-1R suppresses intrinsic tumor cell growth in osteosarcoma with CSF-1R overexpression by Cheng Dai, Bin Shen, Shenyan Liu, Cong Li, Shuqun Yang, Jie Wang, Jie Zhang, Manqi Liu, Zhixuan Zhu, Wan Shi, Qi Zhang, Zhui Chen, Nannan Zhang

    Published 2025-08-01
    “…Immunohistochemistry (IHC) was utilized to analyze human tissue microarray samples of osteosarcoma. We then investigated the anti-tumor effect and the mechanisms of action of pharmacologic inhibition of CSF-1R activity by pimicotinib (ABSK021), a highly potent and selective small molecule inhibitor of CSF-1R, in osteosarcoma models both in vitro and in vivo. …”
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  18. 98

    Gene network inference and biochemical assessment delineates GPCR pathways and CREB targets in small intestinal neuroendocrine neoplasia. by Ignat Drozdov, Bernhard Svejda, Bjorn I Gustafsson, Shrikant Mane, Roswitha Pfragner, Mark Kidd, Irvin M Modlin

    Published 2011-01-01
    “…High throughput techniques such as inference of gene regulatory networks from microarray experiments can objectively define signaling machinery in this disease. …”
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  19. 99

    Metabolomic characterisation of the glioblastoma invasive margin reveals a region-specific signature by James Wood, Stuart J. Smith, Marcos Castellanos-Uribe, Anbarasu Lourdusamy, Sean T. May, David A. Barrett, Richard G. Grundy, Dong-Hyun Kim, Ruman Rahman

    Published 2025-01-01
    “…Here, we use liquid chromatography–mass spectrometry and gene expression microarray to profile integrated intratumour metabolic heterogeneity, as a direct functional readout of adaptive responses of subclones to the tumour microenvironment. …”
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  20. 100

    Combined Use of Gene Expression Modeling and siRNA Screening Identifies Genes and Pathways Which Enhance the Activity of Cisplatin When Added at No Effect Levels to Non-Small Cell... by Ada W Y Leung, Stacy S Hung, Ian Backstrom, Daniel Ricaurte, Brian Kwok, Steven Poon, Steven McKinney, Romulo Segovia, Jenna Rawji, Mohammed A Qadir, Samuel Aparicio, Peter C Stirling, Christian Steidl, Marcel B Bally

    Published 2016-01-01
    “…Here, we report on studies designed to uncover how tumour cells respond to sub-lethal doses of cisplatin. A microarray study revealed changes in gene expressions that occurred when A549 cells were exposed to a no-observed-effect level (NOEL) of cisplatin (e.g. the IC10). …”
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