Showing 2,001 - 2,020 results of 2,086 for search '"Microarray"', query time: 0.10s Refine Results
  1. 2001

    Rotterdam Oncology Documentation (RONCDOC) – a high-quality data warehouse and tissue collection for head and neck cancer by Arta Hoesseini, Emilie A. C. Dronkers, Eveline Dieleman, Maria J. De Herdt, Marjan. H. Wieringa, Marie-Louise F. van Velthuysen, Marinella P. J. Offerman, Aniel Sewnaik, Dominiek Monserez, Stijn Keereweer, Jose A. U. Hardillo, Robert Jan Baatenburg de Jong

    Published 2025-04-01
    “…Furthermore, a comprehensive validation protocol was developed to guarantee the quality of the data. Tissue microarrays (TMAs) were constructed from resection specimens of patients with primary oral squamous cell carcinoma. …”
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    Article
  2. 2002

    A cross-tissue transcriptomic approach decodes glucocorticoid receptor-dependent links to human metabolic phenotypes by Marcin Piechota, Mateusz Zieba, Małgorzata Borczyk, Slawomir Golda, Jacek Hajto, Urszula Skupio, Michal Slezak, Jan Rodriguez Parkitna, Michal Korostynski

    Published 2025-05-01
    “…We assessed changes induced by stimulation with GR agonist, dexamethasone in nine tissues (adrenal cortex, perigonadal adipose tissue, hypothalamus, liver, kidney, anterior thigh muscle, pituitary gland, spleen, and lungs) in adult male C57BL/6 mice, using whole-genome microarrays. Dexamethasone induced balanced transcriptional responses across all examined tissues with 585 identified dexamethasone-regulated transcripts, including 446 with significant treatment-tissue interaction effects. …”
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    Article
  3. 2003

    Optical genome mapping with whole genome sequencing identifies complex chromosomal structural variations in acute leukemia by Meng-Ju Melody Tsai, Meng-Ju Melody Tsai, Hsiao-Jung Kao, Hsiao-Huei Chen, Chih-Hsiang Yu, Yin-Hsiu Chien, Wuh-Liang Hwu, Wuh-Liang Hwu, Wuh-Liang Hwu, Pui-Yan Kwok, Pui-Yan Kwok, Pui-Yan Kwok, Ni-Chung Lee, Yung-Li Yang, Yung-Li Yang, Yung-Li Yang

    Published 2025-04-01
    “…However, many complex SVs cannot be identified by conventional tools, including karyotyping, fluorescence in situ hybridization, microarrays, and multiplex ligation-dependent probe amplification (MLPA).MethodsOptical genome mapping (OGM) and whole genome sequencing (WGS) were employed to analyze five leukemia samples with SVs detected by karyotyping, MLPA, and RNA sequencing (RNA-seq). …”
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    Article
  4. 2004

    Plasma CircCYP24A1 as a Novel Biomarker of Esophageal Squamous Cell Carcinoma by Ruolan Zhang M.M., Jianlin Liu M.M., Hang Yang M.M., Jinsong Tan M.M., Rong Xiong M.M., Yun Liu MM, Gang Feng PhD, Guiqin Song PhD, Kang Liu PhD

    Published 2024-12-01
    “…Fluorescence in situ hybridization was employed to detect the expression of circCYP24A1 in ESCC tissue microarrays, aiming to assess the expression of circCYP24A1 in a large population and its correlation with clinical indicators. …”
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    Article
  5. 2005

    Highly expressed of SERPINA3 indicated poor prognosis and involved in immune suppression in glioma by Qing Yuan, Song‐Quan Wang, Guang‐Tao Zhang, Jie He, Zhi‐Dan Liu, Ming‐Rong Wang, Hong‐Qing Cai, Jing‐Hai Wan

    Published 2021-12-01
    “…Further, we validated the expression and the survival prediction role of SERPINA3 by using tissue microarrays and RNAscope in situ hybridization in 321 gliomas. …”
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    Article
  6. 2006

    Toll-like receptor 2 and Toll-like receptor 4 predict favorable prognosis in local pancreatic cancer by Mira A Lanki, Hanna E Seppänen, Harri K Mustonen, Camilla Böckelman, Anne T Juuti, Jaana K Hagström, Caj H Haglund

    Published 2018-09-01
    “…Patients who received neoadjuvant therapy were excluded. Tissue microarrays and immunohistochemistry allowed assessment of the expression of Toll-like receptor 2 and Toll-like receptor 4 in pancreatic ductal adenocarcinoma tissue, and we matched staining results against clinicopathological parameters using Fisher’s test. …”
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    Article
  7. 2007

    Integration of histopathological images and immunological analysis to predict M2 macrophage infiltration and prognosis in patients with serous ovarian cancer by Ling Zhao, Jiajia Tan, Qiuyuan Su, Yan Kuang, Yan Kuang

    Published 2025-03-01
    “…In addition, tissue microarrays from 106 patients with SOC patients were included as an external validation set. …”
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    Article
  8. 2008

    KDM1A epigenetically enhances RAD51 expression to suppress the STING-associated anti-tumor immunity in esophageal squamous cell carcinoma by Qingyuan Yang, Shiyin Wei, Cen Qiu, Chenjie Han, Zunguo Du, Ning Wu

    Published 2024-12-01
    “…In this study, protein levels in ESCC tissues were evaluated by immunostaining of tissue microarrays. Cell growth was assessed by colony formation assays in vitro and subcutaneous xenograft models in vivo. …”
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    Article
  9. 2009

    WD40 Protein NLE1 as a Novel Diagnostic Biomarker Promoting Hepatocellular Carcinoma Proliferation by Rutong Zhang, Dehua Liu, Xiaoxi Feng, Zhenye Yang, Kaiguang Zhang

    Published 2025-06-01
    “…We further evaluated NLE1 expression in patient tissue microarrays. Kaplan−Meier plots, Cox regression analyses, and receiver operating characteristic (ROC) curves were used to evaluate the prognostic relevance of NLE1. …”
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    Article
  10. 2010
  11. 2011

    Expression of CSTF2 in oral squamous cell carcinoma and its relationship with immune infiltration and poor prognosis by Zumulaiti Aierken, Muertiza Muhetaer, Zhang Lei, Ainiwaerjiang Abudourousuli, Ainiwaerjiang Abudourousuli

    Published 2025-02-01
    “…Immunohistochemical staining of tissue microarrays was performed to analyze CSTF2 expression in the OSCC samples. …”
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    Article
  12. 2012

    Effects of chronic ascariasis and trichuriasis on cytokine production and gene expression in human blood: a cross-sectional study. by Miguel Reina Ortiz, Fernanda Schreiber, Susana Benitez, Nely Broncano, Martha E Chico, Maritza Vaca, Neal Alexander, David J Lewis, Gordon Dougan, Philip J Cooper

    Published 2011-06-01
    “…RNA was isolated from peripheral blood and gene expression analysed using microarrays. Different infection groups were compared for the purpose of analysis: STH infection (combined chronic and light vs. uninfected groups) and chronic STH infection (chronic vs. combined light and uninfected groups). …”
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    Article
  13. 2013

    Five immune‐gene‐signatures participate in the development and pathogenesis of Kawasaki disease by Han Nie, Shizhi Wang, Quanli Wu, Danni Xue, Weimin Zhou

    Published 2021-03-01
    “…Methods Kawasaki disease‐related datasets GSE18606, GSE68004, and GSE73461 were downloaded from the Gene Expression Omnibus database. Three microarrays were integrated and standardized to include 173 Kawasaki disease samples and 101 normal samples. …”
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    Article
  14. 2014

    Expression of regulatory platelet microRNAs in patients with sickle cell disease. by Shilpa Jain, Maria G Kapetanaki, Nalini Raghavachari, Kimberly Woodhouse, Guoying Yu, Suchitra Barge, Claudia Coronnello, Panayiotis V Benos, Gregory J Kato, Naftali Kaminski, Mark T Gladwin

    Published 2013-01-01
    “…<h4>Methods and findings</h4>We analyzed the expression of miRNAs isolated from platelets from a primary cohort (SCD = 19, controls = 10) and a validation cohort (SCD = 7, controls = 7) by hybridizing to the Agilent miRNA microarrays. A dramatic difference in miRNA expression profiles between patients and controls was noted in both cohorts separately. …”
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    Article
  15. 2015

    Elevated KRAS protein level is associated with better survival in pancreatic cancer by S. M. Stålberg, L. Silwal-Pandit, J. Hamfjord, D. J. H. Nebdal, J. Lehtiö, O. C. Lingjærde, B. S. Skålhegg, E. H. Kure

    Published 2025-07-01
    “…Whole transcriptome and proteome profiles were obtained using mRNA microarrays (Agilent) and quantitative mass spectrometry-based proteomics (HiRIEF LC–MS/MS), respectively. …”
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    Article
  16. 2016

    Interaction networks among miRNA, protein, and metabolite fingerprints identify the regulatory networks and key players in the pathogenesis of diabetic cardiomyopathy by Bhaswati Chatterjee, Suman S. Thakur

    Published 2025-06-01
    “…The miRNA–protein interaction included evidence from TarBase and microarrays/HITS-CLIP. The protein–protein, metabolite–metabolite, and protein–metabolite interaction networks were obtained at high confidence scores (≥0.7 or 70%). …”
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    Article
  17. 2017

    Stability of Blood DNA Methylation Across Two Timepoints in Three Cohorts by Mikołaj Danielewski, Jarosław Walkowiak, Karolina Wielgus, Jan Krzysztof Nowak

    Published 2024-11-01
    “…<b>Conclusions:</b> The whole-blood DNA methylation profile, as measured using microarrays, is dynamic over >1 year, but contains a fraction of stable probes, most of which are related to genomic variation. …”
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    Article
  18. 2018

    Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma by Linyan Chen, Yang Li, Zhiyuan Zhang, Tongshu Yang, Hao Zeng

    Published 2025-07-01
    “…Areas under receiver operating characteristic curves (AUCs) were assessed for 1-year, 3-year, and 5-year overall survival (OS).ResultsHistopathological image features were able to predict somatic mutations: TERT promoter (AUC = 0.926), TP53 (AUC = 0.893), CTNNB1 (AUC = 0.885), ALB (AUC = 0.879), molecular subtypes (AUCs from 0.905 to 0.932), and OS (5-year AUC = 0.819) in the testing set, which also had good performances for OS in the external validation sets of tissue microarrays from 263 patients (5-year AUCs from 0.682 to 0.761). …”
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    Article
  19. 2019
  20. 2020

    A Narrative Review of Molecular, Immunohistochemical and In-Situ Techniques in Dermatopathology by J. A. Gabriel, N. Weerasinghe, P. Balachandran, R. Salih, G. E. Orchard

    Published 2024-12-01
    “…Gene expression profiling techniques, such as microarrays and RNA sequencing, have provided insights into dysregulated pathways and molecular signatures associated with conditions ranging from inflammatory skin disorders to cutaneous malignancies. …”
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    Article