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Showing 801 - 820 results of 1,096 for search '(( effective microarray ) OR ((( selective microarray ) OR ( detection microarray ))))', query time: 0.16s Refine Results
  1. 801

    mRNA-lncRNA gene expression signature in HPV-associated neoplasia and cervical cancer by E. D. Kulaeva, E. S. Muzlaeva, E. V. Mashkina

    Published 2024-05-01
    “…Validation on an independent microarray dataset showed that the differential expression patterns of the CDKN2A and SLC27A6 genes were conserved in the respective gene expression comparisons between groups.…”
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    Article
  2. 802

    Experimental study on the role and biomarker potential of CX3CR1 in osteoarthritis by Junpu Huang, Xifan Zheng, Jinzhi Meng, Hongtao Wang, Lingyun Chen, Jun Yao

    Published 2025-12-01
    “…This study aimed to identify OA-associated genes and elucidate the molecular pathways implicated, with the goal of discovering reliable diagnostic biomarkers.Methods The microarray dataset was retrieved from the Gene Expression Omnibus (GEO) and analyzed using R software to identify the signature gene, CX3CR1. …”
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  3. 803
  4. 804

    Integrated Genome-Wide Analysis of Gene Expression and DNA Copy Number Variations Highlights Stem Cell-Related Pathways in Small Cell Esophageal Carcinoma by Di Liu, Xinyan Xu, Junmiao Wen, Liyi Xie, Junhua Zhang, Yuxin Shen, Guoliang Jiang, Jiayan Chen, Min Fan

    Published 2018-01-01
    “…In order to elucidate the effect of CNV on mRNA expression, we integrated the genome-wide copy number data and gene expression in 3 paired samples. …”
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  5. 805

    Potential Canonical Wnt Pathway Activation in High-Grade Astrocytomas by Rebecca Schüle, Christine Dictus, Benito Campos, Feng Wan, Jörg Felsberg, Rezvan Ahmadi, Franz-Simon Centner, Niels Grabe, Guido Reifenberger, Justo L. Bermejo, Andreas Unterberg, Christel Herold-Mende

    Published 2012-01-01
    “…A cytoplasmic β-catenin pool was detectable in 13/15 cultures leading to some transcriptional activity assessed by luciferase reporter gene assay in 8/13. …”
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  6. 806

    Over Time Changes in the Transcriptomic Profiles of Tomato Plants with or Without <i>Mi-1</i> Gene During Their Incompatible or Compatible Interactions with the Whitefly <i>Bemisia... by Susana Pascual, Clara I. Rodríguez-Álvarez, Irene López-Vidriero, José M. Franco-Zorrilla, Gloria Nombela

    Published 2025-03-01
    “…Motelle, incompatible interaction) was studied using the oligonucleotide microarray technique. Both interactions were studied 2 and 12 days post infestation (dpi) of plants with adult insects. …”
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    Article
  7. 807

    Genetic and functional characterization of inherited complex chromosomal rearrangements in a family with multisystem anomalies by He Fang, Stephen M. Eacker, Yu Wu, Whitney Neufeld-Kaiser, Mercy Laurino, Siobán Keel, Marshall S. Horwitz, Yajuan J. Liu

    Published 2025-01-01
    “…They often require karyotyping, fluorescence in situ hybridization, and chromosomal microarray analysis (CMA) for clinical diagnosis because of the limitations of each method. …”
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    Article
  8. 808

    Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas by Xing Liu, Yiming Li, Zhiyan Sun, Shaowu Li, Kai Wang, Xing Fan, Yuqing Liu, Lei Wang, Yinyan Wang, Tao Jiang

    Published 2018-09-01
    “…Gene set enrichment analysis (GSEA), significant analysis of microarray, generalized linear models, and Least absolute shrinkage and selection operator algorithm were used to explore radiogenomic and prognostic signatures of AG patients. …”
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    Article
  9. 809

    Bioinformatic analyses reveal lysosomal-associated protein transmembrane 5 as a potential therapeutic target in lipotoxicity-induced injury in diabetic kidney disease by Xin Chen, Shenglong Zhu, Ciyou Huang, Jiayi Liu, Jinbang Wang, Siyuan Cui

    Published 2024-12-01
    “…Here, we analyzed the GSE 30529 microarray datasets of human tubulointerstitial tissue samples from the Gene Expression Omnibus database (GEO). …”
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  10. 810
  11. 811

    Expression and clinical significance of FGL1 and YAP1 in colorectal cancer by LIU Yuanming*,CUI Guangjie,CHEN Jiaqi,LU Yang,GAO Chao

    Published 2025-07-01
    “…<b>Methods</b> Tissue microarray technique was used to detect FGL1 and YAP1 expression in 101 colorectal cancer tissues and 79 adjacent tissues from June 2007 to April 2008. …”
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  12. 812
  13. 813

    Multiple-omics analysis of aggrephagy-related cellular patterns and development of an aggrephagy-related signature for hepatocellular carcinoma by Jiafen Xie, Xiaoming Wang

    Published 2025-04-01
    “…Abstract Background Protein aggrephagy, a selected autophagy process response for degrading protein aggregates, plays a critical role in various cancers. …”
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  14. 814
  15. 815

    Screening and identification of potential target of 1′-acetoxychavicol acetate (ACA) in acquired lapatinib-resistant breast cancer by Febri Wulandari, Ahmad Fauzi, Muhammad Da'i, Mahmoud Mirzaei, Maryati, Kun Harismah

    Published 2024-12-01
    “…Genomic mutations, expression levels, prognostic significance, and ROC analysis were examined in selected genes. We used AutoDock Vina to conduct ACA molecular docking with potential target genes. …”
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  16. 816

    Bayesian inference towards the resolution of molecular evolution: application to the “Trichoderma harzianum sensu lato” clade by Druzhinina I S, Kubicek C P

    Published 2004-07-01
    “…The clade containing the ex-neotype strain of T. harzianum included exclusively clonally propagating isolates from temperate climates, and was clearly distinguished from all other “H. lixii/T. harzianum” lineages by multivariate analysis of phenotype microarray data. We propose that only this lineage should be regarded as T. harzianum sensu stricto, and that the other lineages be regarded as T. harzianum sensu lato until phenetic characters have been defined which allow their description as separate taxa.…”
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  17. 817

    New Frontiers for the Early Diagnosis of Cancer: Screening miRNAs Through the Lateral Flow Assay Method by Afsaneh Emamiamin, Seyedeh Rojin Shariati Pour, Thea Serra, Donato Calabria, Marta Varone, Fabio Di Nardo, Massimo Guardigli, Laura Anfossi, Claudio Baggiani, Martina Zangheri, Mara Mirasoli

    Published 2025-04-01
    “…This review focuses on LFA-based methods for detecting and quantifying miRNAs associated with the diagnosis of various cancers, with particular emphasis on sensitivity enhancements achieved through the application of different labels and detection systems. …”
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  18. 818

    Differentiating Branch Duct and Mixed IPMN in Endoscopically Collected Pancreatic Cyst Fluid via Cytokine Analysis by Linda S. Lee, Andrew M. Bellizzi, Peter A. Banks, Nisha I. Sainani, Vivek Kadiyala, Shadeah Suleiman, Darwin L. Conwell, Joao A. Paulo

    Published 2012-01-01
    “…Eighty-six of 89 IMPs were detected in at least one of the 10 samples. Fourteen IMPs were detected only in mixed IPMN, while none were only in BD-IPMN. …”
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  19. 819

    Myogenic IGFBP5 levels in rhabdomyosarcoma are nourished by mesenchymal stromal cells and regulate growth arrest and apoptosis by Yue Zhang, Karim Katkhada, Liu Zhen Meng, Binbin Zhao, Shanlin Tong, Wiem Chaabane, Aditi Kallai, Nicholas P. Tobin, Arne Östman, Alessandro Mega, Monika Ehnman

    Published 2025-04-01
    “…High resolution microarray-based Clariom D gene expression analysis identified insulin-like growth factor binding protein 5 (IGFBP5) as the top upregulated gene in RMS cells exposed to naïve stromal cells, and effects on growth arrest, caspase 3/7 activation, and myogenic cell identity were demonstrated in functional assays. …”
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  20. 820

    Coexpression within Integrated Mitochondrial Pathways Reveals Different Networks in Normal and Chemically Treated Transcriptomes by Cong Chen, Tae Kyung Hyun, Xiao Han, Zhihui Feng, Yuan Li, Xiaolong Liu, Jiankang Liu

    Published 2014-01-01
    “…In this study, we construct coexpression networks based on microarray datasets from different tissues and chemical treatments to explore the role of integrated MRCs in the coexpression network and the effects of different chemicals on the mitochondrial network. …”
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