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Showing 161 - 180 results of 326 for search '(( executive microarray ) OR ( selection microarray ))', query time: 0.10s Refine Results
  1. 161

    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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  2. 162

    Pan-cancer analysis identifies CD155 as a promising target for CAR-T cell therapy by Xiaohong Liu, Yue Sun, Boxu Lin, Hao Xiong, Xinyue Lu, Binghe Tan, Chenglin Zhang, Mingyao Liu, Juliang Qin, Na Zhang, Bing Du

    Published 2025-06-01
    “…Therefore, the exploration and rational selection of novel tumor targets is urgently needed. …”
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    Article
  3. 163

    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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  4. 164

    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
  5. 165

    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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  6. 166

    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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  7. 167

    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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  8. 168
  9. 169

    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
  10. 170

    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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    Article
  11. 171
  12. 172

    Expression profiles and bioinformatic analysis of circular RNA in rheumatic heart disease: potential hsa_circ_0001490 and hsa_circ_0001296 as a diagnostic biomarker by Xiaoliang Chen, Lina Chen, Li Bi, Shunying Zhao, Xiaoyan Hu, Ni Li, Linwen Zhu, Guofeng Shao

    Published 2025-08-01
    “…The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to predict the potential functions of the differentially expressed genes and RHD-related pathways.ResultsFour circRNAs were selected from circRNA microarray data. qRT-PCR confirmed that hsa_circ_0001490 and hsa_circ_0001296 were significantly upregulated in RHD plasma (4.28-fold, P < 0.001; 5.24-fold, P < 0.001, respectively). …”
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  13. 173

    CD155 blockade enhances allogeneic natural killer cell-mediated antitumor response against osteosarcoma by Lei Shi, Christian M Capitini, Amy K Erbe, Fernanda Szewc, Longzhen Song, Matthew H Forsberg, David P Turicek, Paul D Bates, Devin M Burpee, Aicha E Quamine, Johnathan D Ebben, Jillian M Kline, Emily O Lafeber, Madison F Phillips, Monica M Cho, Amanda S Ceas, John A Kink

    Published 2025-04-01
    “…Mice bearing pulmonary OS metastases underwent alloBMT and alloNK cell infusion with anti-CD155 either before or after tumor induction, with select groups receiving anti-DNAM-1 pretreated alloNK cells. …”
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  14. 174

    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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  15. 175

    Maternal bisphenol a exposure impacts the fetal heart transcriptome. by Kalyan C Chapalamadugu, Catherine A Vandevoort, Matthew L Settles, Barrie D Robison, Gordon K Murdoch

    Published 2014-01-01
    “…At the end of treatment, fetal heart tissues were collected and chamber specific transcriptome expression was assessed using genome-wide microarray. Quantitative real-time PCR was conducted on select genes and ventricular tissue glycogen content was quantified. …”
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  16. 176

    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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  17. 177

    Weighted frequent gene co-expression network mining to identify genes involved in genome stability. by Jie Zhang, Kewei Lu, Yang Xiang, Muhtadi Islam, Shweta Kotian, Zeina Kais, Cindy Lee, Mansi Arora, Hui-Wen Liu, Jeffrey D Parvin, Kun Huang

    Published 2012-01-01
    “…In this study, we used a network mining algorithm to identify tightly connected gene co-expression networks that are frequently present in microarray datasets from 33 types of cancer which were derived from 16 organs/tissues. …”
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  18. 178

    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
    “…We conducted a non-paired case-control study (1:2 ratio) among pregnancies undergoing chromosomal microarray analysis (CMA) because of fetal ultrasound anomalies, from December 2012 to May 2020. …”
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  19. 179

    Identification of the Exercise and Time Effects on Human Skeletal Muscle through Bioinformatics Methods by Mufang Feng, Jie Ji, Xiaoliu Li, Xinming Ye

    Published 2022-01-01
    “…To determine the effects of exercise and time on human skeletal muscle, we downloaded the microarray expression profile of GSE1832 and analyzed it to select differentially expressed genes (DEGs). …”
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  20. 180

    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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