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  1. 61

    Discovery of possible gene relationships through the application of self-organizing maps to DNA microarray databases. by Rocio Chavez-Alvarez, Arturo Chavoya, Andres Mendez-Vazquez

    Published 2014-01-01
    “…DNA microarrays and cell cycle synchronization experiments have made possible the study of the mechanisms of cell cycle regulation of Saccharomyces cerevisiae by simultaneously monitoring the expression levels of thousands of genes at specific time points. …”
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    Article
  2. 62

    Molecular sub-classification of renal epithelial tumors using meta-analysis of gene expression microarrays. by Thomas Sanford, Paul H Chung, Ariel Reinish, Vladimir Valera, Ramaprasad Srinivasan, W Marston Linehan, Gennady Bratslavsky

    Published 2011-01-01
    “…<h4>Experimental design</h4>A search of publicly available databases was performed to identify microarray datasets with multiple histologic sub-types of renal cortical neoplasms. …”
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  3. 63

    Integrated Use of Statistical-Based Approaches and Computational Intelligence Techniques for Tumors Classification Using Microarray by Chia-Ding Hou, Yuehjen E. Shao

    Published 2015-01-01
    “…With the recent development of biotechnologies, cDNA microarray chips are increasingly applied in cancer research. …”
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  4. 64

    Circular RNA microarray expression profile and potential function of circDOCK1 in colorectal cancer by Guojing Zhang, Xiaoyan Wu, Hongmin Fu, Daqing Sun

    Published 2025-02-01
    “…Transfection efficiency was confirmed via qRT-PCR in HCT116 and SW480 colon cells, and the effects of circDOCK1 on cell proliferation, migration, and invasion were assessed.ResultsMicroarray data revealed 149 significantly differentially expressed circRNAs, including 71 upregulated and 78 downregulated circRNAs, in CRC tissues. …”
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  5. 65

    High-throughput screening of monoclonal antibodies against carbapenemases using a multiplex protein microarray platform by Sascha D. Braun, Sascha D. Braun, Martin Reinicke, Martin Reinicke, Celia Diezel, Celia Diezel, Elke Müller, Elke Müller, Katrin Frankenfeld, Thomas Schumacher, Hugo Arends, Stefan Monecke, Stefan Monecke, Ralf Ehricht, Ralf Ehricht, Ralf Ehricht

    Published 2025-08-01
    “…The array allowed simultaneous mapping of cross-reactivity, a key advantage over conventional ELISA workflows.DiscussionOur findings confirm that protein-based microarrays offer a robust, efficient platform for antibody pair selection, reducing reagent use while accelerating assay development. …”
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  6. 66

    Identification of Critical Signature in Post‐Traumatic Stress Disorder Using Bioinformatics Analysis and in Vitro Analyses by Lifen Liu, Yang Liu, Rui Li, Yue Teng, Shuyang Zhao, Jinhong Chen, Changjiang Li, Xinyu Hu, Lin Sun

    Published 2025-01-01
    “…Current research is focused on identifying effective treatments for PTSD. Advances in bioinformatics provide opportunities to elucidate the underlying mechanisms of PTSD. …”
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    Article
  7. 67

    Possibility of the Use of Public Microarray Database for Identifying Significant Genes Associated with Oral Squamous Cell Carcinoma by Ki-Yeol Kim, In-Ho Cha

    Published 2012-03-01
    “…This study combined two small microarray datasets from a public database and identified significant genes associated with the progress of oral squamous cell carcinoma. …”
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  8. 68

    Carbohydrate Microarrays Identify Blood Group Precursor Cryptic Epitopes as Potential Immunological Targets of Breast Cancer by Denong Wang, Jin Tang, Shaoyi Liu, Jiaoti Huang

    Published 2015-01-01
    “…Using carbohydrate microarrays, we explored potential natural ligands of antitumor monoclonal antibody HAE3. …”
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  9. 69
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  11. 71

    A High Phosphorus Diet Affects Lipid Metabolism in Rat Liver: A DNA Microarray Analysis. by Sunwoo Chun, Takeshi Bamba, Tatsuya Suyama, Tomoko Ishijima, Eiichiro Fukusaki, Keiko Abe, Yuji Nakai

    Published 2016-01-01
    “…In the present study, we performed DNA microarray analysis to investigate the effects of a HP diet on the liver, which plays a pivotal role in energy metabolism. …”
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  12. 72

    Development of a microarray based telomerase binding assay reveals unusual binding of a cytochalasin derivative by Jia Li Ye, Lu Fan, Christian Bär, Thomas Thum, Oliver Plettenburg, Russell J. Cox, Carsten Zeilinger

    Published 2025-06-01
    “…In this study, we present a highly miniaturized, microarray-based assay designed to identify compounds that target telomerase. …”
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  13. 73

    In Vitro Investigation of Statin Effects on Genes Associated with Severe COVID-19 in Cancerous and Non-Cancerous Cells by Adriana Kapustová, Patrik Macášek, Bibiána Baďurová, Jana Melegová, Silvie Rimpelová, Jan Kubovčiak, Jana Šáchová, Miluše Hradilová, Michal Kolář, Libor Vítek, Tomáš Ruml, Helena Gbelcová

    Published 2025-07-01
    “…However, statins exhibit additional pleiotropic effects. The present study aims to investigate the effects of all eight currently existing statins on the expression of genes whose products have been reported to be directly associated with complicated COVID-19 disease. …”
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  14. 74

    IDENTIFYING IMPORTANT GENES IN OVARIAN CANCER FROM HIGH-DIMENSIONAL MICROARRAY DATA USING SIFS-CART METHOD by Ni Kadek Emik Sapitri, Umu Sa'adah, Nur Shofianah

    Published 2024-07-01
    “…Ovarian cancer can be identified from microarray data using machine learning. Many studies only focus on improving the machine learning classification algorithms to achieve higher performance. …”
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  15. 75

    Systematic spatial bias in DNA microarray hybridization is caused by probe spot position-dependent variability in lateral diffusion. by Doris Steger, David Berry, Susanne Haider, Matthias Horn, Michael Wagner, Roman Stocker, Alexander Loy

    Published 2011-01-01
    “…Numerical simulations reveal a strong influence of microarray well geometry on the spatial bias.<h4>Conclusions</h4>Reciprocal adjustment of the size of the microarray hybridization chamber to the area of surface-bound probes is a simple and effective measure to minimize or eliminate the diffusion-based bias, resulting in increased uniformity and accuracy of quantitative DNA microarray hybridization.…”
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  16. 76

    Gene Expression Profile of Dendritic Cell-Tumor Cell Hybrids Determined by Microarrays and Its Implications for Cancer Immunotherapy by Jens Dannull, Chunrui Tan, Christine Farrell, Cynthia Wang, Scott Pruitt, Smita K. Nair, Walter T. Lee

    Published 2015-01-01
    “…Dendritic cell- (DC-) tumor fusion cells stimulate effective in vivo antitumor responses. However, therapeutic approaches are dependent upon the coadministration of exogenous 3rd signals. …”
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  17. 77

    Portable Fluorescence Microarray Reader-Enabled Biomarker Panel Detection System for Point-of-Care Diagnosis of Lupus Nephritis by Aygun Teymur, Iftak Hussain, Chenling Tang, Ramesh Saxena, David Erickson, Tianfu Wu

    Published 2025-01-01
    “…This study introduces an LED-based fluorescence reader designed for POC applications, enabling multiplex detection of lupus nephritis (LN) biomarkers using a biomarker microarray (BMA) slide. The reader integrates an LED excitation source, neutral density (ND) filters for precise intensity control, and onboard image processing with Gaussian smoothing and centroid thresholding to enhance signal detection and localization. …”
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  18. 78

    Substantia nigra and blood gene signatures and biomarkers for Parkinson’s disease from integrated multicenter microarray-based transcriptomic analyses by Hui-Hui Fan, Na-Na Hou, Na-Na Hou, Dao-Lu Zhang, Dan-Ni Liu, Rong-Ting Tang, Hai-Tao Luo, Ya-Dan Song, Lei Cui, Xiong Zhang, Jian-Hong Zhu, Jian-Hong Zhu

    Published 2025-04-01
    “…PD diagnosis depends on clinical manifestation of symptoms but is lack of effective biomarker.MethodsAvailable human microarray-based transcriptomic datasets of the substantia nigra and blood were acquired for PD cases and controls. …”
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  19. 79
  20. 80

    CD14 and complement crosstalk and largely mediate the transcriptional response to Escherichia coli in human whole blood as revealed by DNA microarray. by Corinna Lau, Ståle Nygård, Hilde Fure, Ole Kristoffer Olstad, Marit Holden, Knut Tore Lappegård, Ole-Lars Brekke, Terje Espevik, Eivind Hovig, Tom Eirik Mollnes

    Published 2015-01-01
    “…Combined inhibition of a key complement component (C3 and C5) and TLR-co-receptor CD14 has been shown to attenuate certain systemic inflammatory responses. Using DNA microarray and gene annotation analyses, we aimed to decipher the effect of combined inhibition of C3 and CD14 on the transcriptional response to bacterial challenge in human whole blood. …”
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