Showing 1,701 - 1,720 results of 9,651 for search '"microarray"', query time: 0.13s Refine Results
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    The incidence of renal cell carcinoma associated with Xp11.2 translocation/TFE3 gene fusion in Saudi adult patients with renal cancer: a retrospective tissue microarray analysis by Jaudah Al-Maghrabi, Shagufta Mufti, Wafaey Gomaa

    Published 2019-01-01
    “…This study aims to evaluate the frequency of RCC with Xp11.2 in a subset of Saudi adult patients with RCC. 112 RCCs diagnosed in 1995–2016 were retrieved from the Department of Pathology at King Abdulaziz University and King and Faisal Specialist Hospital and Research Centre, Saudi Arabia. Tissue microarrays were constructed and TFE3 immunostaining was performed. …”
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  7. 1707

    Identifying Drug Targets of Oral Squamous Cell Carcinoma through a Systems Biology Method and Genome-Wide Microarray Data for Drug Discovery by Deep Learning and Drug Design Specifications by Yi-Chung Lin, Bor-Sen Chen

    Published 2022-09-01
    “…In the next step, real GWGENs are identified for OSCC and non-OSCC by system identification and system order detection methods based on the OSCC and non-OSCC microarray data, respectively. Then, the principal network projection (PNP) method was used to extract core GWGENs of OSCC and non-OSCC from real GWGENs of OSCC and non-OSCC, respectively. …”
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  8. 1708

    An investigation into anti-proliferative effects of microRNAs encoded by the miR-106a-363 cluster on human carcinoma cells and keratinocytes using microarray profiling of miRNA transcriptomes. by Cuong eKhuu, Anne-Marthe eJevnaker, Magne eBryne, Harald eOsmundsen

    Published 2014-08-01
    “…To investigate miRNA involvement profiling of miRNA transcriptomes were carried out using deoxyoligonucleotide microarrays. In transfectants for miR-19a, or miR-20b or miR-363-5p most differentially expressed miRNAs exhibited decreased expression, including some miRNAs encoded in paralogous miR-17-92 - or miR-106b-25 cluster. …”
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    Meta-analysis of microarray data using a pathway-based approach identifies a 37-gene expression signature for systemic lupus erythematosus in human peripheral blood mononuclear cells by Fang Hong, Mummaneni Padmaja, Tong Weida, Arasappan Dhivya, Amur Shashi

    Published 2011-05-01
    “…However, meta-analysis approaches with microarray data have not been well-explored in SLE.</p> <p>Methods</p> <p>In this study, a pathway-based meta-analysis was applied to four independent gene expression oligonucleotide microarray data sets to identify gene expression signatures for SLE, and these data sets were confirmed by a fifth independent data set.…”
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    The m6A/m1A/m5C-Related Methylation Modification Patterns and Immune Landscapes in Rheumatoid Arthritis and Osteoarthritis Revealed by Microarray and Single-Cell Transcriptome by Zheng H, Aihaiti Y, Cai Y, Yuan Q, Yang M, Li Z, Xu K, Xu P

    Published 2023-11-01
    “…Haishi Zheng,1,2 Yirixiati Aihaiti,2 Yongsong Cai,2 Qiling Yuan,2 Mingyi Yang,2 Zheng Li,2 Ke Xu,2 Peng Xu1,2 1Department of Orthopedics, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China; 2Department of Joint Surgery, HongHui Hospital, Xi’an Jiaotong University, Xi’an, People’s Republic of ChinaCorrespondence: Peng Xu, Department of Orthopedics, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China, Tel +86 13772090019, Email xupeng369@mail.xjtu.edu.cnPurpose: The goal of this study was to explore the expression characteristics of RNA modification-related genes, reveal immune landscapes and identify novel potential diagnostic biomarkers in osteoarthritis (OA) and rheumatoid arthritis (RA) patients.Patients and Methods: RNA microarray and single-cell sequencing (scRNA-seq) data were downloaded from gene expression omnibus (GEO) database. …”
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    Selecting a single model or combining multiple models for microarray-based classifier development? – A comparative analysis based on large and diverse datasets generated from the MAQC-II project by Fang Hong, Perkins Roger, Kelly Reagan, Shi Leming, Chen Minjun, Tong Weida

    Published 2011-10-01
    “…Development of genomic biomarkers with microarrays is an area of intensive investigation. However, despite sustained and continuing effort, developing microarray-based predictive models (i.e., genomics biomarkers) capable of reliable prediction for an observed or measured outcome (i.e., endpoint) of unknown samples in preclinical and clinical practice remains a considerable challenge. …”
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    Interspecies hybridization on DNA resequencing microarrays: efficiency of sequence recovery and accuracy of SNP detection in human, ape, and codfish mitochondrial DNA genomes sequenced on a human-specific MitoChip by Carr Steven M, Flynn Sarah MC

    Published 2007-09-01
    “…However, costs of single-species design and microarray fabrication are prohibitive. A cost-effective, multi-species strategy is to hybridize experimental DNAs from diverse species to a common microarray that is tiled with oligonucleotide sets from multiple, homologous reference genomes. …”
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