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Showing 141 - 160 results of 322 for search '(( elective microarray ) OR ( (selection OR selection) microarray ))', query time: 0.11s Refine Results
  1. 141

    Identification of G1-regulated genes in normally cycling human cells. by Maroun J Beyrouthy, Karen E Alexander, Amy Baldwin, Michael L Whitfield, Hank W Bass, Dan McGee, Myra M Hurt

    Published 2008-01-01
    “…<h4>Methodology and findings</h4>We used a robotic mitotic shake-off apparatus to select cells in late mitosis for genome-wide gene expression studies. …”
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    Article
  2. 142

    Clustering, Pathway Enrichment, and Protein-Protein Interaction Analysis of Gene Expression in Neurodevelopmental Disorders by Ruchi Yadav, Prachi Srivastava

    Published 2018-01-01
    “…In this study, we have used four samples of microarray neuronal developmental data: control, RV (resveratrol), NGF (nerve growth factor), and RV + NGF. …”
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  3. 143

    Expression of Genes Related to Germ Cell Lineage and Pluripotency in Single Cells and Colonies of Human Adult Germ Stem Cells by Sabine Conrad, Hossein Azizi, Maryam Hatami, Mikael Kubista, Michael Bonin, Jörg Hennenlotter, Karl-Dietrich Sievert, Thomas Skutella

    Published 2016-01-01
    “…Genome-wide comparisons with microarray analysis confirmed that different haGSC colonies exhibited gene expression heterogeneity with more or less pluripotency. …”
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    Article
  4. 144
  5. 145

    Transcriptional Profile of Kidney from Type 2 Diabetic db/db Mice by Haojun Zhang, Tingting Zhao, Zhiguo Li, Meihua Yan, Hailing Zhao, Bin Zhu, Ping Li

    Published 2017-01-01
    “…The top 10 hub genes were selected from the constructed PPI network of DEGs, including Ccnb2 and Nr1i2, which remained largely unclear in DN. …”
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    Article
  6. 146

    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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  7. 147

    Transcriptional profiling of nitrogen fixation and the role of NifA in the diazotrophic endophyte Azoarcus sp. strain BH72. by Abhijit Sarkar, Barbara Reinhold-Hurek

    Published 2014-01-01
    “…For selected genes, differential expression was corroborated by real time RT-PCR studies.…”
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  8. 148

    Gene expression profiles in Parkinson disease prefrontal cortex implicate FOXO1 and genes under its transcriptional regulation. by Alexandra Dumitriu, Jeanne C Latourelle, Tiffany C Hadzi, Nathan Pankratz, Dan Garza, John P Miller, Jeffery M Vance, Tatiana Foroud, Thomas G Beach, Richard H Myers

    Published 2012-06-01
    “…Single-nucleotide polymorphisms (SNPs) selected from a recent meta-analysis of PD genome-wide association studies (GWAS) were successfully genotyped in 50 out of the 53 microarray brains, allowing a targeted expression-SNP (eSNP) analysis for 52 SNPs associated with PD affection at genome-wide significance and the 189 probes from FoxO1 regulated genes. …”
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    Article
  9. 149
  10. 150

    Global gene expression profiling reveals SPINK1 as a potential hepatocellular carcinoma marker. by Aileen Marshall, Margus Lukk, Claudia Kutter, Susan Davies, Graeme Alexander, Duncan T Odom

    Published 2013-01-01
    “…Six genes identified by microarray as highly expressed in HH-HCC were confirmed by RT qPCR. …”
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    Article
  11. 151

    Differentially expressed miR-3680-5p is associated with parathyroid hormone regulation in peritoneal dialysis patients. by Sohyun Jeong, Jung Mi Oh, Kook-Hwan Oh, In-Wha Kim

    Published 2017-01-01
    “…Total RNA from 15 patients (7 and 8 patients in the low and high iPTH groups, respectively) underwent miRNA microarray analysis, and three differentially upregulated (>2-fold change) miRNAs previously associated with human disease were selected for real-time quantitative PCR (qPCR) analysis. …”
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    Article
  12. 152

    Two stable variants of Burkholderia pseudomallei strain MSHR5848 express broadly divergent in vitro phenotypes associated with their virulence differences. by A A Shea, R C Bernhards, C K Cote, C J Chase, J W Koehler, C P Klimko, J T Ladner, D A Rozak, M J Wolcott, D P Fetterer, S J Kern, G I Koroleva, S P Lovett, G F Palacios, R G Toothman, J A Bozue, P L Worsham, S L Welkos

    Published 2017-01-01
    “…Microscopic and colony morphology differences on six differential media were observed and only the Rough variant metabolized sugars in selective agar. Antimicrobial susceptibilities and lipopolysaccharide (LPS) features were characterized and phenotype microarray profiles revealed distinct metabolic and susceptibility disparities between the variants. …”
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    Article
  13. 153

    The Necessity of Prenatal Diagnosis by CMA for the Women with NIPS-Positive Results by Jun Xu, Ying Xue, Jing Wang, Qin Zhou, Bin Zhang, Bin Yu, Ting Wang

    Published 2020-01-01
    “…Single nucleotide polymorphism array testing was performed on a commercial 750K microarray chip (Affymetrix CytoScan 750K Array). Results. …”
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    Article
  14. 154

    Downregulation of sorting nexin 10 is associated with overexpression of miR-30d during liver cancer progression in rats by Nancy Cervantes-Anaya, Alberto Ponciano-Gómez, Guadalupe Soledad López-Álvarez, Christian Gonzalez-Reyes, Sergio Hernández-Garcia, María Asunción Cabañas-Cortes, José Efraín Garrido-Guerrero, Saúl Villa-Treviño

    Published 2017-04-01
    “…The identification of molecules that might be molecular markers or therapeutic targets is urgently needed to improve clinical management. Based on a microarray analysis performed in our laboratory, we selected six genes—namely, ANXA2, DYNLT1, PFKP, PLA2G7, KRT19 , and SNX10 —as candidates for validation as tumor markers of liver cancer in a rat model. …”
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  15. 155

    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
  16. 156

    ANALYSIS OF CELLULAR REACTION TO IFN-γ STIMULATION BY A SOFTWARE PACKAGE GeneExpressionAnalyser by A. V. Saetchnikov, M. M. Yatskou, P. V. Nazarov, L. Vallar, V. V. Apanasovich

    Published 2016-10-01
    “…The developed software has a number of advantages over the existing software: it is free, has a simple and intuitive graphical interface, allows to analyze different types of DNA microarrays, contains a set of methods for complete data analysis and performs effec-tive gene annotation for a selected list of genes.…”
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  17. 157

    Bayesian weighted random forest for classification of high-dimensional genomics data by Oyebayo Ridwan Olaniran, Mohd Asrul A. Abdullah

    Published 2023-10-01
    “…In addition, BWRCF also has improved predictive and efficiency abilities over selected competing methods.…”
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    Article
  18. 158

    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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  19. 159

    Nanomaterials based biosensors applied for detection of aflatoxin B1 in cereals: a review by Loyce Namanya, Emma Panzi Mukhokosi, Ediriisa Mugampoza

    Published 2025-01-01
    “…However, more studies are needed to address the automatic simultaneous detection of various aflatoxins in real samples and a biosensing system that integrates with microarray technology.…”
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  20. 160

    Adenosine Receptor 3 in Liver Cancer: Expression Variability, Epigenetic Modulation, and Enhanced Histone Deacetylase Inhibitor Effects by Louise Kaldjob-Heinrich, Sandro Nuciforo, Steffen Lemke, Aaron Stahl, Stefan Czemmel, Sepideh Babaei, Lauriane Blukacz, Marie-Anne Meier, Yizheng Zhang, Christian M. Schürch, Irene Gonzalez-Menendez, Pascal Woelffing, Nisar P. Malek, Veit Scheble, Sven Nahnsen, Manfred Claassen, Markus Templin, Hans Bösmüller, Markus H. Heim, Daniel Dauch, Michael Bitzer

    Published 2025-01-01
    “…However, further data are required to clarify ADORA3 expression patterns in liver cancer, mechanisms of action, and the potential for combination therapies to inform patient selection for future clinical trials. Methods: Patient-derived tissue microarrays and RNA-sequencing were employed to investigate ADORA3 expression. …”
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    Article