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Showing 361 - 380 results of 702 for search '(( detection microarray ) OR ( (selective OR selective) microarray ))', query time: 0.11s Refine Results
  1. 361

    Intratumoral IL-1R1 expression delineates a distinctive molecular subset with therapeutic resistance in patients with gastric cancer by Heng Zhang, Chao Lin, Hongyong He, Hao Liu, Ruochen Li, He Li, Jiejie Xu, Yun Gu, Puran Zhang, Hanji Fang, Yifan Cao, Jieti Wang

    Published 2022-02-01
    “…IL-1R1 mRNA expression was directly acquired from public datasets, and we also detected IL-1R1 protein expression on tumor microarray by immunohistochemistry. …”
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  2. 362

    Prenatal Diagnosis of 17p13.1p13.3 Duplication by Kirsi Kiiski, Tiiu Roovere, Riina Zordania, Harriet von Koskull, Nina Horelli-Kuitunen

    Published 2012-01-01
    “…This was further defined as a chromosome 17p13.1p13.3 duplication by FISH and genomic microarray analysis (GMA). In addition Prenatal BACs-on-Beads (PN_BoBs) assay was performed, which detected the duplication clearly. …”
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  3. 363

    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
    “…The sorafenib-resistant liver cancer cell lines Huh7/SOR and HepG2/SOR were also established. miRNA and mRNA microarray analyses, TargetScan prediction, dual luciferase reporter assay, RNA pull-down assay, co-mmunoprecipitation (Co-IP) and pull-down assays, a transcription factor-specific NRF2 assay, an iron detection assay, a lipid peroxidation quantification assay, a ROS measurement assay, and GSH/GSSG and GSH-px standard quantitative assays were used.ResultsWe showed that upregulation of the provirus-integrating site for Moloney murine leukemia virus 3 (Pim-3) predicted poor response and unsatisfactory prognosis in sorafenib-treated liver cancer patients. …”
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  4. 364

    QKI-induced circ_0001766 inhibits colorectal cancer progression and rapamycin resistance by miR-1203/PPP1R3C/mTOR/Myc axis by Yulai Zhou, Yan Gao, Yinghui Peng, Changjing Cai, Ying Han, Yihong Chen, Gongping Deng, Yanhong Ouyang, Hong Shen, Shan Zeng, Yangfeng Du, Zemin Xiao

    Published 2025-04-01
    “…However, no circRNA-based therapies have yet entered clinical development, underscoring the need for comprehensive detection and mechanistic studies of circRNAs in CRC. …”
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  5. 365

    Rapid changes in transcription profiles of the Plasmodium yoelii yir multigene family in clonal populations: lack of epigenetic memory? by Deirdre Cunningham, Jannik Fonager, William Jarra, Celine Carret, Peter Preiser, Jean Langhorne

    Published 2009-01-01
    “…Using microarray and quantitative RT-PCR, we show that despite this very restricted transcription in a single cell, many yir genes are transcribed throughout the intra-erythrocytic asexual cycle. …”
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  6. 366

    Application of family whole-exome sequencing for prenatal diagnosis—an analysis of 357 cases by Yijun Ge, Huizhen Yuan, Yao Yu, Junfang Xiao, Danping Liu, Yongbao Peng, Ying Liu, Shuhui Huang, Bicheng Yang, Yongyi Zou, Yanqiu Liu

    Published 2025-08-01
    “…Using techniques such as amniotic fluid, chorionic villus, or umbilical cord blood sampling, intact fetal cells were extracted for cell culture and subsequently analyzed using chromosomal karyotyping and chromosomal microarray techniques. 2. With fully informed consent, fetuses and their parents whose genetic etiology could not be detected by karyotyping combined with chromosomal microarray technology had their cellular DNA subjected to whole-exome sequencing of the pedigree. 3. …”
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    Article
  7. 367

    Robust modeling of differential gene expression data using normal/independent distributions: a Bayesian approach. by Mojtaba Ganjali, Taban Baghfalaki, Damon Berridge

    Published 2015-01-01
    “…In this paper, the problem of identifying differentially expressed genes under different conditions using gene expression microarray data, in the presence of outliers, is discussed. …”
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    Article
  8. 368

    Yield of Genetic Testing in Children with Autism Spectrum Disorder – A Single-Center Experience by Kriti Arora, Minakshi Balwani, Akash Wakchaure, Gouri R Passi

    Published 2025-03-01
    “…Yield of whole exome sequencing (WES), 12/27 (44.49%), was more than that of chromosomal microarray (CMA) 1/30 (3.3%) (P < 0.05). Fragile-X gene mutation was detected in 0/14 patients tested. …”
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  9. 369

    Exploring the Functional Disorder and Corresponding Key Transcription Factors in Intraductal Papillary Mucinous Neoplasms Progression by Guiying Bai, Chenxuan Wu, Yingtang Gao, Guiming Shu

    Published 2015-01-01
    “…This study has analyzed the gene expression patterns of an IPMN microarray dataset including normal pancreatic ductal tissue (NT), intraductal papillary mucinous adenoma (IPMA), intraductal papillary mucinous carcinoma (IPMC), and invasive ductal carcinoma (IDC) samples. …”
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  10. 370

    The Differential Gene Expression Pattern of Mycobacterium tuberculosis in Response to Capreomycin and PA-824 versus First-Line TB Drugs Reveals Stress- and PE/PPE-Related Drug Targ... by Li M. Fu, Shu C. Tai

    Published 2009-01-01
    “…Six among the 42 genes identified in this study are on the list of the top 100 persistence targets selected by the TB Structural Genomics Consortium. …”
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  11. 371

    Estimation of relevant variables on high-dimensional biological patterns using iterated weighted kernel functions. by Sergio Rojas-Galeano, Emily Hsieh, Dan Agranoff, Sanjeev Krishna, Delmiro Fernandez-Reyes

    Published 2008-03-01
    “…The resulting variable subsets achieved classification accuracies of 99% on Human African Trypanosomiasis, 91% on Tuberculosis, and 91% on Malaria serum proteomic profiles with fewer than 20% of variables selected. Our method scaled-up to dimensionalities of much higher orders of magnitude as shown with gene expression microarray datasets in which we obtained classification accuracies close to 90% with fewer than 1% of the total number of variables.…”
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  12. 372

    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
    “…Here, we describe an improved version of our StemArray, a stem-cell-focused comparative genomic hybridization (aCGH) microarray, which contains 135,000 probes and covers over 270 stem cell and cancer related genes at the exon level. …”
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  13. 373

    Targeting Serglycin Prevents Metastasis in Murine Mammary Carcinoma. by Ananya Roy, Julia Femel, Elisabeth J M Huijbers, Dorothe Spillmann, Erik Larsson, Maria Ringvall, Anna-Karin Olsson, Magnus Åbrink

    Published 2016-01-01
    “…A microarray expression analysis and functional annotation of differentially expressed genes identified several biological pathways where serglycin may be important. …”
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  14. 374

    Integration of the transcriptome and glycome for identification of glycan cell signatures. by Sandra V Bennun, Kevin J Yarema, Michael J Betenbaugh, Frederick J Krambeck

    Published 2013-01-01
    “…The model further elucidated limitations in the two analytical platforms including a defect in the microarray for detecting the GnTV (MGAT5) enzyme. Our results demonstrate the potential of systems glycobiology tools for elucidating key glycan biomarkers and potential therapeutic targets. …”
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  15. 375

    Reprogramming‐derived gene cocktail increases cardiomyocyte proliferation for heart regeneration by Yuan‐Yuan Cheng, Yu‐Ting Yan, David J Lundy, Annie HA Lo, Yu‐Ping Wang, Shu‐Chian Ruan, Po‐Ju Lin, Patrick CH Hsieh

    Published 2016-12-01
    “…Several candidate genes were selected and tested for their ability to induce CM proliferation. …”
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  16. 376

    Comparing gene-gene co-expression network approaches for the analysis of cell differentiation and specification on scRNAseq data by Alisa Pavel, Manja Gersholm Grønberg, Line H. Clemmensen

    Published 2025-01-01
    “…Gene-gene co-expression network analysis has been widely applied to bulk RNA sequencing and microarray data to investigate different phenotypes and compound exposures. …”
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  17. 377
  18. 378

    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
  19. 379

    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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  20. 380

    Peroxisome proliferator-activated receptor gamma coactivator-1 alpha acts as a tumor suppressor in hepatocellular carcinoma by Rui Liu, Haiyang Zhang, Yan Zhang, Shuang Li, Xinyi Wang, Xia Wang, Cheng Wang, Bin Liu, Ke Zen, Chen-yu Zhang, Chunni Zhang, Yi Ba

    Published 2017-04-01
    “…In addition, the expression levels of 21,400 genes in tissues and cells were detected by microarray. It was shown that peroxisome proliferator-activated receptor gamma coactivator-1 alpha expression was significantly downregulated in hepatocellular carcinoma compared with normal liver tissues. …”
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    Article