Showing 61 - 80 results of 218 for search '"Microarray"', query time: 0.06s Refine Results
  1. 61

    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
  2. 62

    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
  3. 63

    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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    Article
  4. 64

    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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    Article
  5. 65

    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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    Article
  6. 66

    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
  7. 67

    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
  8. 68

    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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    Article
  9. 69
  10. 70

    The Influence of Adalimumab and Cyclosporine A on the Expression Profile of the Genes Related to TGFβ Signaling Pathways in Keratinocyte Cells Treated with Lipopolysaccharide A by Iwona Adwent, Beniamin Oskar Grabarek, Marta Kojs-Mrożkiewicz, Ryszard Brus, Rafał Staszkiewicz, Andrzej Plewka, Michał Stasiowski, Anita Lyssek-Boroń

    Published 2020-01-01
    “…The expression profile of mRNA related to TGFβ paths was indicated by microarray and RTqPCR analyses. The ELISA test was used to analyze changes on the proteome level. …”
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    Article
  11. 71

    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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  12. 72

    Profiling of Circulating Cell-free DNA Methylation Patterns Identifies Aberrant Methylated CTBP1 Promotor Sites for Prediction of Alzheimer’s Disease by Zhiwu Dong, Kewen Zhao, Hongjun Gu, Wenwei Yang, Xin Zhang

    Published 2025-04-01
    “…The R Bioconductor Linear Models for Microarray Data (LIMMA) package was employed to identify methylation variable positions (MVPs), and Probe Lasso was used to pinpoint differentially methylated regions (DMRs) linked to AD. …”
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    Article
  13. 73

    Spheroid Culture of Mesenchymal Stem Cells by Zoe Cesarz, Kenichi Tamama

    Published 2016-01-01
    “…Furthermore, spheroid formation causes drastic changes in the gene expression profile of MSC in microarray analyses. In spite of these significant changes, underlying molecular mechanisms and signaling pathways triggering and sustaining these changes are largely unknown.…”
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    Article
  14. 74

    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
  15. 75

    Exploration of Epigenetic Mechanisms and Biomarkers Among Patients with Very-Late-Onset Schizophrenia-Like Psychosis by Gan Y, Yue W, Sun J, Yang D, Fang C, Zhou Z, Yin J, Zhou H

    Published 2025-04-01
    “…We then collected blood samples from VLOSLP patients and age-matched healthy controls (n = 80) at the Wuxi Mental Health Center for methylation microarray profiling and bisulfite sequencing validation. …”
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    Article
  16. 76

    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
  17. 77

    Characterization of a MERS-related betacoronavirus in Danish brown long-eared bats (Plecotus auritus) by Camille Melissa Johnston, Vithiagaran Gunalan, Hans J. Baagøe, Anna S. Fomsgaard, Charlotta Polacek, Morten Rasmussen, Louise Lohse, Thomas Bruun Rasmussen

    Published 2025-08-01
    “…Positive samples underwent ORF1b sequencing, microarray analysis and Illumina MiSeq sequencing, followed by metagenomic assembly of full-length genomes. …”
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    Article
  18. 78

    An Ensemble Classification Method for High-Dimensional Data Using Neighborhood Rough Set by Jing Zhang, Guang Lu, Jiaquan Li, Chuanwen Li

    Published 2021-01-01
    “…Efficient and effective sample classification and feature selection are challenging tasks due to high dimensionality and small sample size of microarray data. Feature selection is necessary in the process of constructing the model to reduce time and space consumption. …”
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    Article
  19. 79

    Using Aptamers for Cancer Biomarker Discovery by Yun Min Chang, Michael J. Donovan, Weihong Tan

    Published 2013-01-01
    “…Aptamers can be paired with recent advances in nanotechnology, microarray, microfluidics, and other technologies for applications in clinical medicine. …”
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    Article
  20. 80

    Glucose regulates transcription in yeast through a network of signaling pathways by Shadia Zaman, Soyeon I Lippman, Lisa Schneper, Noam Slonim, James R Broach

    Published 2009-02-01
    “…Abstract Addition of glucose to yeast cells increases their growth rate and results in a massive restructuring of their transcriptional output. We have used microarray analysis in conjunction with conditional mutations to obtain a systems view of the signaling network responsible for glucose‐induced transcriptional changes. …”
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