Showing 341 - 360 results of 1,096 for search '(((( selection microarray ) OR ( detection microarray ))) OR ( effective microarray ))', query time: 0.17s Refine Results
  1. 341

    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
  2. 342

    Diagnosis of Coronary Heart Diseases Using Gene Expression Profiling; Stable Coronary Artery Disease, Cardiac Ischemia with and without Myocardial Necrosis. by Nabila Kazmi, Tom R Gaunt

    Published 2016-01-01
    “…Interestingly it also showed efficacy in discriminating myocardial infarction patients from patients with clinical symptoms of cardiac ischemia but no myocardial necrosis or stable coronary artery disease, despite the influence of batch effects and different microarray gene chips and platforms.…”
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  3. 343

    Comparative linkage meta-analysis reveals regionally-distinct, disparate genetic architectures: application to bipolar disorder and schizophrenia. by Brady Tang, Tricia Thornton-Wells, Kathleen D Askland

    Published 2011-04-01
    “…Since it is likely a majority of common variants of modest effect have been identified through the application of tagSNP-based microarray platforms (i.e., GWAS), alternative approaches robust to detection of low-frequency (1-5% MAF) and rare (<1%) variants are of great importance. …”
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    Article
  4. 344

    Development of HuMiChip for functional profiling of human microbiomes. by Qichao Tu, Zhili He, Yan Li, Yanfei Chen, Ye Deng, Lu Lin, Christopher L Hemme, Tong Yuan, Joy D Van Nostrand, Liyou Wu, Xuedong Zhou, Wenyuan Shi, Lanjuan Li, Jian Xu, Jizhong Zhou

    Published 2014-01-01
    “…Here we have developed a functional gene-based microarray for profiling human microbiomes (HuMiChip) with 36,802 probes targeting 50,007 protein coding sequences for 139 key functional gene families. …”
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    Article
  5. 345

    Noninvasive prediction of fetal growth restriction using maternal plasma cell-free RNA: a case-control study by Yihong Huang, Ruizhi Wang, Lixia Shen, Lingyi Kong, Peisong Chen, Zilian Wang, Zhuyu Li

    Published 2025-07-01
    “…The least absolute shrinkage and selection operator regression was used to select the hub genes from the cell-free RNA DEGs. …”
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    Article
  6. 346

    Comparative Study of PPARγ Targets in Human Extravillous and Villous Cytotrophoblasts by Fulin Liu, Christine Rouault, Mickael Guesnon, Wencan Zhu, Karine Clément, Séverine A. Degrelle, Thierry Fournier

    Published 2020-01-01
    “…Visualizations were prepared in Cytoscape. From our microarray data, 139 DEGs were detected in rosiglitazone-treated EVCTs (RT-EVCTs) and 197 DEGs in rosiglitazone-treated VCTs (RT-VCTs). …”
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    Article
  7. 347

    Genomic copy number variants: evidence for association with antibody response to anthrax vaccine adsorbed. by Michael I Falola, Howard W Wiener, Nathan E Wineinger, Gary R Cutter, Robert P Kimberly, Jeffrey C Edberg, Donna K Arnett, Richard A Kaslow, Jianming Tang, Sadeep Shrestha

    Published 2013-01-01
    “…Antibodies to protective antigen were measured at week 8 (early response) and week 30 (peak response) using an enzyme-linked immunosorbent assay. We used DNA microarray data (Affymetrix 6.0) and two CNV detection algorithms, hidden markov model (PennCNV) and circular binary segmentation (GeneSpring) to determine CNVs in all individuals. …”
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    Article
  8. 348

    HuoXueJieDu Formula Alleviates Diabetic Retinopathy in Rats by Inhibiting SOCS3-STAT3 and TIMP1-A2M Pathways by Hongliang Wang, Wei Xing, Shijie Tang, Zhenglin Wang, Tiantian Lv, Yan Wu, Shuzhen Guo, Chun Li, Jing Han, Ruixin Zhu, Wei Wang

    Published 2017-01-01
    “…Whole genome expression profiles in rat retinas were examined using microarray technology. Differential gene expression and pathway enrichment analysis were conducted on the microarray data, with validation through real-time PCR and immunohistochemical staining. …”
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    Article
  9. 349

    Fecal carriage of vanB antibiotic resistance gene affects adipose tissue function under vancomycin use by Lars M. M. Vliex, Giang N. Le, Marina Fassarella, Dorien Reijnders, Gijs H. Goossens, Erwin G. Zoetendal, John Penders, Ellen E. Blaak

    Published 2022-12-01
    “…Abdominal subcutaneous adipose tissue (AT) gene expression was assessed using Affymetrix microarray. Gut microbial composition was determined using the Human Intestinal Tract Chip (HITChip) microarray. …”
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    Article
  10. 350

    Exploration of the shared pathways and common biomarkers in cervical and ovarian cancer using integrated bioinformatics analysis by Fang Liu, Min Wang, Tian Zhu, Cong Xu, Guangming Wang

    Published 2024-12-01
    “…Abstract Objective Searching for potential biomarkers and therapeutic targets for early diagnosis of gynecological tumors to improve patient survival. Methods Microarray datasets of cervical cancer (CC) and ovarian cancer (OC) were downloaded from the Gene Expression Omnibus (GEO) database, then, differential gene expression between cancerous and normal tissues in the datasets was analyzed. …”
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    Article
  11. 351

    miR-4780 Derived from N2-Like Neutrophil Exosome Aggravates Epithelial-Mesenchymal Transition and Angiogenesis in Colorectal Cancer by Liang Wang, Yuqiang Shan, Sixin Zheng, Jiangtao Li, Peng Cui

    Published 2023-01-01
    “…Differentially expressed miRNA in neutrophil exosomes have been sequenced by microarray profile, and the effect of N2-like neutrophil-derived exosomal miR-4780 on epithelial-mesenchymal transition (EMT) and angiogenesis was investigated. …”
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    Article
  12. 352

    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
    “…Gene co-expression network analysis is an effective method for predicting gene functions and disease biomarkers. …”
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    Article
  13. 353
  14. 354

    Penaeus vannamei Genetic Evaluation for Growth and Survival Traits During White Spot Syndrome Virus Infection Based on 55K SNP Chip by Yijing HE, Mianyu LIU, Sheng LUAN, Jie KONG, Xupeng LI, Baoxiang CAO, Kun LUO, Jian TAN, Jiawang CAO, Ping DAI, Guangfeng QIANG, Zhaoxin WANG, Juan SUI, Xianhong MENG

    Published 2025-06-01
    “…The genetic correlation between the survival time of individuals against WSSV and SS50 was 0.95±0.03, which was not significantly different from 1 (P > 0.05).The study showed that the genetic assessment of the growth of P. vannamei by microarray can effectively improve the accuracy of the assessment, the evaluation of WSSV survival time traits may be affected by the selection of individuals and other factors, and the prediction accuracy was not significantly improved. …”
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    Article
  15. 355

    Pharmacologic inhibition of CSF-1R suppresses intrinsic tumor cell growth in osteosarcoma with CSF-1R overexpression by Cheng Dai, Bin Shen, Shenyan Liu, Cong Li, Shuqun Yang, Jie Wang, Jie Zhang, Manqi Liu, Zhixuan Zhu, Wan Shi, Qi Zhang, Zhui Chen, Nannan Zhang

    Published 2025-08-01
    “…Immunohistochemistry (IHC) was utilized to analyze human tissue microarray samples of osteosarcoma. We then investigated the anti-tumor effect and the mechanisms of action of pharmacologic inhibition of CSF-1R activity by pimicotinib (ABSK021), a highly potent and selective small molecule inhibitor of CSF-1R, in osteosarcoma models both in vitro and in vivo. …”
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  16. 356

    Evaluation of gene expression classification studies: factors associated with classification performance. by Putri W Novianti, Kit C B Roes, Marinus J C Eijkemans

    Published 2014-01-01
    “…The MAQC II study on cancer classification problems has found that performance was affected by factors such as the classification algorithm, cross validation method, number of genes, and gene selection method. In this paper, we study the hypothesis that the disease under study significantly determines which method is optimal, and that additionally sample size, class imbalance, type of medical question (diagnostic, prognostic or treatment response), and microarray platform are potentially influential. …”
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    Article
  17. 357

    Integrative analysis of T cell-mediated tumor killing-related genes reveals KIF11 as a novel therapeutic target in esophageal squamous cell carcinoma by Xinxin Cheng, Huihui Zhao, Zhangwang Li, Liping Yan, Qingjie Min, Qingnan Wu, Qimin Zhan

    Published 2025-02-01
    “…The KIF11 expression was detected by multiplex fluorescent immunohistochemistry on tissue microarray from ESCC patients. …”
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    Article
  18. 358

    Bioinformatics and network pharmacology-based study to elucidate the multi-target pharmacological mechanism of the indigenous plants of Medina valley in treating HCV-related hepato... by Mubarak A. Alamri

    Published 2023-06-01
    “…But the findings were not validated in actual patients, so further investigation is needed to confirm the potential use of selected medicinal plants towards HCV-related HC.…”
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  19. 359

    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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    Article
  20. 360

    Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma by Gang Wang, Jiaxing Zhang, Yirong Li, Yuyu Zhang, Weiwei Dong, Hengquan Wu, Jinglan Wang, Peiqing Liao, Ziqiang Yuan, Tao Liu, Wenting He

    Published 2025-04-01
    “…Abstract The microarray and single-cell RNA-sequencing (scRNA-seq) datasets of hepatocellular carcinoma (HCC) were downloaded from the Gene Expression Omnibus (GEO) database. …”
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    Article