Showing 81 - 100 results of 146 for search '"Microarray"', query time: 0.06s Refine Results
  1. 81

    Ectopic overexpression of CD133 in HNSCC makes it resistant to commonly used chemotherapeutics by Junyoung Lee, Mineon Park, Youngjong Ko, Bora Kim, Okjoon Kim, Hoon Hyun, DongHwi Kim, HongMoon Sohn, Young Lae Moon, Wonbong Lim

    Published 2017-04-01
    “…To investigate the role of CD133 in chemoresistance, cell death was analyzed using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), Diff-Quick, flow cytometry, and western blot of apoptosis-related protein expression in fluorouracil (5-FU)- or cisplatin-treated cells. In addition, microarray and related protein expression assessments were performed to investigate the mechanism of chemoresistance against 5-FU and cisplatin in KB cells. …”
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  2. 82

    Identification of Novel Biomarkers in Huntington’s Disease Based on Differential Gene Expression Meta-Analysis and Machine Learning Approach by Nayan Dash, Md Abul Bashar, Jeonghan Lee, Raju Dash

    Published 2025-07-01
    “…We performed a meta-analysis to identify DEGs using three Gene Expression Omnibus (GEO) microarray datasets from different platforms related to HD-affected brain tissue, applying both relaxed and strict criteria to identify differentially expressed genes. …”
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    Article
  3. 83

    The use of whole genome amplification for genomic evaluation of bovine embryos by K. S. Pantiukh, I. V. Rukin, S. V. Portnov, A. Khatib, S. L. Panteleev, A. M. Mazur

    Published 2019-07-01
    “…The main purpose of this work is to assess the possibility of using embryo biopsy specimens (bsp) for embryo genotyping using microarray chips and predicting the carrier status of lethal haplotypes at the embryo stage. …”
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    Article
  4. 84

    Identification and characterization of the GH3 gene family in maize by Dong-feng ZHANG, Nan ZHANG, Tao ZHONG, Chao WANG, Ming-liang XU, Jian-rong YE

    Published 2016-02-01
    “…In this study, the 12 maize GH3 proteins were primarily classified into two phylogenetic groups, similar to the 13 rice GH3 proteins, while 9 of the 19 Arabidopsis GH3 proteins were observed in the third phylogenetic group. Microarray analysis showed that expression of maize GH3 genes is temporally and spatially modulated. …”
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    Article
  5. 85

    Prediction of CD8+ T cell infiltration in the tumor microenvironment of HGSOC patients by Jia Mai, Ling Yang, YuXin Chen, XiaoXu Zeng, HongJian Xie, XiaoJuan Liu

    Published 2025-08-01
    “…Two independent cohort were analyzed: (1) A multicenter tissue microarray (TMA) cohort of 105 epithelial ovarian cancer cases revealed that high CD8+ T cell density in tumor parenchyma, stroma, or whole tissue was significantly associated with good prognosis. (2) A retrospective cohort of 95 HGSOC patients from West China Second University Hospital (2016–2020) demonstrated that peripheral blood lymphocytes, globulin (GLB), lactate dehydrogenase (LDH), and low-density lipoprotein (LDL) correlated with CD8+ T cell infiltration in TME. …”
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  6. 86

    MiR-136 inhibits gastric cancer–specific peritoneal metastasis by targeting HOXC10 by Jianyong Zheng, Peng Ge, Xiaonan Liu, Jiangpeng Wei, Guosheng Wu, Xiaohua Li

    Published 2017-06-01
    “…Functions of microRNAs have been characterized in the embryologic, physiologic, and oncogenic processes, but the role of microRNAs in mediating tumor-specific organ metastasis was addressed only recently and still absent in gastric cancer peritoneal metastasis. Here, we used the microarray analysis to define the gastric cancer peritoneal metastasis–related microRNAs from highly peritoneal metastatic derivatives (GC-9811P cells) and the parental GC-9811 human gastric cancer cells. …”
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    Article
  7. 87

    Research on the diagnosis model of osteoarthritis based on methylation-related genes using machine learning algorithms by Xu Cui, Houlin Ji, Shengyang Guo, Ju Liu, Linyuan Zhang, Yongwei Jia, Yin Cui, Xiaoxiao Zhou

    Published 2025-08-01
    “…ObjectiveTo construct a diagnostic model of osteoarthritis related to methylation genes using machine learning algorithms, and analyze its prognostic value and biological functions.MethodsThe GSE 63695 and GSE162484 datasets including human osteoarthritis (OA) and normal samples were downloaded from the GEO datasets. The microarray chip data of chondrocytes were analyzed using R software to obtain differentially methylated genes. …”
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    Article
  8. 88
  9. 89

    Identification of Novel Molecular Panel as Potential Biomarkers of PAN-Gastrointestinal Cancer Screening: Bioinformatics and Experimental Analysis by Fatemeh Hajibabaie, Parisa Mohamadynejad, Laleh Shariati, Kamran Safavi, Navid Abedpoor

    Published 2025-07-01
    “…In the present study, using integrated transcriptomics, RNA-Seq and microarray data, from the TCGA and GEO databases, respectively, were combined to discover and validate a global biomarker panel for PAN-gastrointestinal cancers. …”
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    Article
  10. 90

    Functional characteristics of fresh antitumor immune interferer GDF-15 in multiple cancers by Min Fang, Ziyu Wang, Yuxin Zhou, Fengrui Yang, Zhu Wu, Jian Xiao

    Published 2025-08-01
    “…Besides, immunohistochemistry (IHC)-based tissue microarray analysis of LUAD validated GDF-15 protein expression and its correlation with survival prognosis. …”
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    Article
  11. 91

    Discovery of novel molecular characteristics and cellular biological properties in ameloblastoma by Sayuri Kondo, Akinobu Ota, Takayuki Ono, Sivasundaram Karnan, Md Wahiduzzaman, Toshinori Hyodo, Md Lutfur Rahman, Kunihiro Ito, Akifumi Furuhashi, Tomio Hayashi, Hiroyuki Konishi, Shinobu Tsuzuki, Yoshitaka Hosokawa, Yoshiaki Kazaoka

    Published 2020-04-01
    “…Our comparative cDNA microarray analysis and gene set enrichment analysis (GSEA) showed that ameloblastoma exhibited a distinct gene expression pattern from the normal tissues: KRAS‐responsive gene set is significantly activated in ameloblastoma. …”
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    Article
  12. 92

    Identification of genes and pathways related to lymphovascular invasion in breast cancer patients: A bioinformatics analysis of gene expression profiles by Sukhontip Klahan, Henry Sung-Ching Wong, Shih-Hsin Tu, Wan-Hsuan Chou, Yan-Feng Zhang, Thien-Fiew Ho, Chih-Yi Liu, Shih-Ying Yih, Hsing Fang Lu, Sean Chun-Chang Chen, Chi-Cheng Huang, Wei-Chiao Chang

    Published 2017-06-01
    “…In total, 108 breast cancer samples were collected during surgery and microarray analysis was performed. Significance analysis of the microarrays and limma package for R were used to examine differentially expressed genes between lymphovascular invasion–positive and lymphovascular invasion–negative cases. …”
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    Article
  13. 93

    Mutation spectrum in epilepsy and seizure disorders in a group of Emirati patients: a retrospective cohort study and literature review by Aisha AlShamsi, Sema Koruturk

    Published 2025-07-01
    “…The genetic tests were performed based on the patient's clinical phenotypes and family history, and included chromosome microarray, targeted variant testing, next-generation sequencing, or whole-exome sequencing (solo or trio). …”
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    Article
  14. 94

    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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  15. 95

    Potential role of SLC6A3 in neurodevelopmental impairments associated with corpus callosum abnormalities: insights from CNV analysis and clinical phenotyping by Shan-yu Liu, Wei Huang, Hui-lin Ou, Li Wang, Dan-dan Wang, Wei-he Tan, Qin She

    Published 2025-08-01
    “…Methods From January 2021 to July 2023, 13 children with MRI-confirmed CCAs underwent chromosomal microarray analysis (CMA) for CNV detection. We performed bioinformatic analyses (Gene Ontology, STRING network) to identify neurodevelopmental genes within pathogenic CNVs, and clinical follow up assessed neurobehavioral outcomes. …”
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  16. 96
  17. 97

    Deciphering the methylation landscape of long noncoding RNAs in hepatocellular carcinoma: a focus on LINC00942 by Zhaoqi Shi, Xiaolong Liu, Duguang Li, Jing Yang, Haonan Chen, Hui Lin, Xiaoxiao Fan

    Published 2025-08-01
    “…Methods We conducted a methylation microarray analysis on 11 HCC samples alongside adjacent non-tumor tissue specimens. …”
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  18. 98

    Single nucleus RNA-seq reveals the process from onset to chronic kidney disease in IgA nephropathy by Jun-Peng You, Gen-Yang Cheng, Xiao-Xue Zhang, Zheng Wang, Chen Liu, Wei Ning, Ya-Ru Liu, Hui-Miao Hu, Ya-Ling Zhai, Yuan-Yuan Qi, Zhan-Zheng Zhao

    Published 2025-07-01
    “…We analyzed several public transcriptomic datasets, including microarray and bulk RNA-sequencing, to identify pathway alterations in IgAN patients and progressors. …”
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    Article
  19. 99

    The significance of Trk receptors in pancreatic cancer by Matthew D Johnson, Brandon Stone, Bryan J Thibodeau, Andrew M Baschnagel, Sandra Galoforo, Laura E Fortier, Billie Ketelsen, Samreen Ahmed, Zakiya Kelley, Alaa Hana, Thomas G Wilson, John M Robertson, Robert P Jury, George D Wilson

    Published 2017-02-01
    “…A specific inhibitor of TrkA, B, and C, AstraZeneca 1332, was investigated in vitro and in vivo in combination with radiation. A tissue microarray was constructed from 77 pancreatic ductal adenocarcinoma patients who had undergone neoadjuvant chemoradiation and the Trk receptor, and neurogenic differentiation 1 expression was assessed and correlated with overall survival. …”
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  20. 100

    Cyclooxygenase-1 deletion in 5 × FAD mice protects against microglia-induced neuroinflammation and mitigates cognitive impairment by Jie Wang, Hong Ni, Yu Wang, Luyao Wei, Hanqing Ding, Zhongzhao Guo, Hao Pan, Ying Yu, Jia Luo, Weidong Pan, Deheng Wang, Zun-Ji Ke

    Published 2025-08-01
    “…In addition, single-cell sequencing and microarray datasets from public databases and ingenuity pathway analysis in vitro were employed to explore gene expression profiles in the brains of AD mice. …”
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    Article