Showing 81 - 100 results of 218 for search 'microarrays', query time: 0.05s Refine Results
  1. 81
  2. 82

    Identificación de biomarcadores sanguíneos para la detección de lesiones premalignas y el diagnóstico del cáncer gástrico by Martín Alonso Goméz Zuleta, Karen Torres, Michael T Falduto, Scott R Magnuson

    Published 2017-03-01
    “…La sangre se colocó en un tubo de ARN sanguíneo PAXgene; luego, el ARN se extrajo de la sangre y se analizó usando una plataforma de microarrays, los cuales identificaron cambios de expresión de ARN mensajero que permitieron diferenciar cada una de las etapas descritas. …”
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    Article
  3. 83

    HLA‐DR⁺ Tumor Cells Show an Association with a Distinct Immune Microenvironment and CD8⁺ T‐Cell Exhaustion in HBV‐Associated Hepatocellular Carcinoma by Jun‐Qing Chang, Yan Guo, Wen‐Jing Yuan, Yu‐Man Chen, Bo‐Wei Liu, Wen‐Tao Li, Xiang‐Ming Ding, Xu‐Dong Fu, Yu‐Han Lou, Zhuo‐Ran Chen, Xiao‐Ying Luo, Song‐Ze Ding, Bing‐Yong Zhang, Xiu‐Ling Li, Yong‐Zhi Hong, Shun‐Dong Cang, Dong‐Xiao Li, Ling Lan

    Published 2025-08-01
    “…By integrating the largest publicly available single‐cell RNA sequencing (scRNA‐seq) dataset of HCC (160 samples from 124 patients) with multi‐scale protein‐level validation using multiplex immunofluorescence and tissue microarrays (198 HCC specimens), HLA‐DR⁺ tumor cells are identified as a distinctive feature of HBV+HCC. …”
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    Article
  4. 84

    Vitamin K‐dependent gamma‐carboxyglutamic acid protein 1 promotes pancreatic ductal adenocarcinoma progression through stabilizing oncoprotein KRAS and tyrosine kinase receptor EGF... by Zheng Wu, Qing Ye, Shan Zhang, Li‐Peng Hu, Xiao‐Qi Wang, Lin‐Li Yao, Lei Zhu, Shu‐Yu Xiao, Zong‐Hao Duan, Xue‐Li Zhang, Shu‐Heng Jiang, Zhi‐Gang Zhang, De‐Jun Liu, Dong‐Xue Li, Xiao‐Mei Yang

    Published 2025-01-01
    “…Methods Analysis of pancreatic ductal adenocarcinoma (PDAC) datasets, including transcription profiles, clinical data, and tissue microarrays, was conducted to evaluate PRRG1 expression and its clinical relevance. …”
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    Article
  5. 85

    Gene Expression Profiles for Predicting Metastasis in Breast Cancer: A Cross-Study Comparison of Classification Methods by Mark Burton, Mads Thomassen, Qihua Tan, Torben A. Kruse

    Published 2012-01-01
    “…Machine learning has increasingly been used with microarray gene expression data and for the development of classifiers using a variety of methods. …”
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    Article
  6. 86

    Gene Expression Music Algorithm-Based Characterization of the Ewing Sarcoma Stem Cell Signature by Martin Sebastian Staege

    Published 2016-01-01
    “…We analyzed the behavior of public microarray data sets from Ewing sarcoma (“Ewing family tumors,” EFT) cell lines and biopsies in GEMusicA after prefiltering DNA microarray data for the probe sets from the stem cell signature. …”
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  7. 87

    Deep learning-based spatial analysis on tumor and immune cells of pathology images predicts MIBC prognosis. by Chao Hu, Fan Wang, Hui Xu, XiQi Dong, XiuJuan Xiong, Yun Zhang, TianCheng Zhao, YuanQiao He, LiBin Deng, XiongBing Lu

    Published 2025-01-01
    “…The prognostic value of Lymph_inside % was validated in the HBlaU079Su01 microarray. Multiomics analysis demonstrated that Lymph_inside % demonstrated significant positive correlations with antitumor immune cell abundance and the apoptosis pathway. …”
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  8. 88
  9. 89

    D-Mannose Inhibits Adipogenic Differentiation of Adipose Tissue-Derived Stem Cells via the miR669b/MAPK Pathway by Yitong Liu, Lijia Guo, Lei Hu, Chen Xie, Jingfei Fu, Yiyang Jiang, Nannan Han, Lu Jia, Yi Liu

    Published 2020-01-01
    “…The microarray data were further analyzed by a Venn diagram and Gene Set Enrichment Analysis (GSEA). …”
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    Article
  10. 90

    The Comparison of Three Measures in Feature Selection by SONG Zhi-chao, KANG Jian, SUN Guang-lu, HE Yong-jun

    Published 2018-02-01
    “…By combining them with the fast correlation-based filter ( FCBF) feature selection method,we make the comparison of selected feature subset from 8 gene microarray and image datasets. Experimental results indicate that the feature subsets selected by linear correlation coefficient based FCBF obtain better classification accuracy in gene microarray datasets than in image datasets,while mutual information and symmetrical uncertainty based FCBF tend to obtain better results in image datasets. …”
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    Article
  11. 91

    CFS-MOES Ensemble Model on Metaheuristic Search-Based Feature Selection by Santosini Bhutia, Bichitrananda Patra, Mitrabinda Ray

    Published 2024-01-01
    “…However, the tremendous dimensionality of the microarray cancer dataset is the greatest challenge in interpreting the data. …”
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  12. 92

    Identification of Potential Therapeutic Targets in the Liver of Pioglitazone-Treated Type 2 Diabetes Sprague-Dawley Rats via Expression Profile Chip and iTRAQ Assay by Zhong-Xia Lu, Wen-Jun Xu, Yang-Sheng Wu, Chang-Yu Li, Yi-Tao Chen

    Published 2018-01-01
    “…Furthermore, Western blotting and RT-qPCR were used to validate the results of microarray and iTRAQ. In conclusion, Cyp7a1, Cp, and RT1-EC2 are differentially expressed genes/proteins since they showed a similar trend in rats in the model group and the pioglitazone-treated group.…”
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  13. 93

    Inhibition of Rho Kinase Induces Antioxidative Molecules and Suppresses Reactive Oxidative Species in Trabecular Meshwork Cells by Tomokazu Fujimoto, Toshihiro Inoue, Saori Ohira, Nanako Awai-Kasaoka, Takanori Kameda, Miyuki Inoue-Mochita, Hidenobu Tanihara

    Published 2017-01-01
    “…The cynomolgus monkey array and 12,613 probes were used in DNA microarray analysis, and the affected genes were categorized using gene ontology analysis. …”
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    Article
  14. 94

    Transcriptional Profiling of Caudal Fin Regeneration in Zebrafish by Michael Schebesta, Ching-Ling Lien, Felix B. Engel, Mark T. Keating

    Published 2006-01-01
    “…To elucidate the principles of limb-fin regeneration, we performed an Affymetrix microarray screen on regenerating caudal fins 12, 24, 48, and 72 h post amputation. …”
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  15. 95

    Identification of Differentially Expressed Genes and Long Noncoding RNAs Associated with Parkinson’s Disease by Lu-Mei Chi, Li-Ping Wang, Dan Jiao

    Published 2019-01-01
    “…This study aims to determine differentially expressed genes (DEGs) and long noncoding RNAs (lncRNAs) associated with Parkinson’s disease (PD) using a microarray. Methods. We downloaded the microarray data GSE6613 from the Gene Expression Omnibus, which included 105 samples. …”
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  16. 96

    Knockdown of USF1 and USF2 drives prolonged changes in the gene expression response of M12-5B3 cells to DNA damage. by Kimberly S Bellingham-Johnstun, Lisa A Metzger, Jennifer L Stone, Kevin Gerrish, Pierre R Bushel, Michael L Sikes

    Published 2025-01-01
    “…Gene ontology analyses revealed that USF knockdown induced numerous changes in the expression of genes critical for immune development and function while diminishing the responsiveness of genes linked to DNA damage pathways. Microarray findings were confirmed by RT-qPCR for a panel of genes responsive to USF knockdown and/or irradiation. …”
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    Article
  17. 97

    Performance and clinical implications of non-invasive prenatal testing for rare chromosomal abnormalities: a retrospective study of 94,125 cases by Haimei Qi, Haijun Chen, Zhuling Zhang, Jinhui Gan, Huifeng Liu, Xianping Yuan, Fuyu Luo, Junkun Chen, Shichun Shen

    Published 2025-08-01
    “…Concurrent use of karyotyping and chromosome microarray analysis, rather than karyotyping alone, mitigates culture-related bias and enhances the PPV. …”
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  18. 98
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    A Review on the Application of Organoids in Food Science Research by MA Aijin, BAI Rujin, ZHOU Junjun, JIA Yingmin

    Published 2025-06-01
    “…This paper introduces the current status of the construction and functional characterization of three major organoids, namely, intestinal, liver and brain organoids, describes recent progress in the application of intestinal, liver and brain organoids in the field of food science, discusses future prospects for the integrated application of organoids with cutting-edge technologies such as microarray technology and microfluidics, and analyzes the challenges and future directions for the application of organoid models in food science. …”
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    Article
  20. 100

    The expression levels of CYP3A4 and CYP3A5 serve as potential prognostic biomarkers in lung adenocarcinoma by Mao Qixing, Xu Juqing, Wang Yajing, Dong Gaochao, Xia Wenjie, Shi Run, Wang Anpeng, Xu Lin, Jiang Feng, Wang Jun

    Published 2017-04-01
    “…Here, we explored the prognostic value of CYP3A4 and CYP3A5 in lung adenocarcinoma. The tissue microarray was made up of lung adenocarcinoma samples and corresponding normal lung tissues from Nanjing Medical University affiliated Cancer Hospital Tissue Bank. …”
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    Article