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Showing 421 - 440 results of 815 for search '(((( elective microarray ) OR ( effective microarray ))) OR ( selective microarray ))', query time: 0.12s Refine Results
  1. 421

    Glucose-6-phosphate dehydrogenase activity, structure, molecular characteristics and role in neonatal hyperbilirubinemia in cord blood in Cukurova region by Ferda Ozlü, Mehmet Satar, Sule Menziletoğlu-Ylldlz, Isa Unlükurt, Kiymet Aksoy

    Published 2011-04-01
    “…These differences might be caused by the effects of kinetic variant on the hyperbilirubinemia without the direct effect of the mutation. …”
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    Article
  2. 422

    Ultradian cortisol pulsatility encodes a distinct, biologically important signal. by Andrew McMaster, Maryam Jangani, Paula Sommer, Namshik Han, Andy Brass, Stephen Beesley, Weiqun Lu, Andrew Berry, Andrew Loudon, Rachelle Donn, David W Ray

    Published 2011-01-01
    “…In addition, effects on glucocorticoid receptor (GR) expression levels and phosphorylation, as a potential mediator, were measured.…”
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  3. 423
  4. 424

    Exploration of autophagy-related molecular mechanisms underlying epilepsy using multiple datasets by Yongfei Wang, Haoxuan Zeng, Chongxu Liu, Jianjun Chen, Yihong Huang, Xianju Zhou

    Published 2025-08-01
    “…Methods We analyzed GSE143272 and GSE4290 microarray datasets from the NCBI Gene Expression Omnibus database, which is established based on evaluations of peripheral blood samples. …”
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    Article
  5. 425

    Integrated Bioinformatics Analysis of Hub Genes and Pathways in Anaplastic Thyroid Carcinomas by Xueren Gao, Jianguo Wang, Shulong Zhang

    Published 2019-01-01
    “…The aim of the present study was to identify hub genes and pathways in ATC by microarray expression profiling. Two independent datasets (GSE27155 and GSE53072) were downloaded from GEO database. …”
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    Article
  6. 426

    Hub genes and associated drugs for multiple myeloma with 1q21+: identified by bioinformatic analysis by Zhiqiang Xu, Jieni Yu, Yamei Chen

    Published 2024-12-01
    “…While 1q21+ was common genetic alteration and found to have adverse effect on prognosis, the underlying genes remain unclear. …”
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    Article
  7. 427

    Local anesthetics induce apoptosis in human thyroid cancer cells through the mitogen-activated protein kinase pathway. by Yuan-Ching Chang, Yi-Chiung Hsu, Chien-Liang Liu, Shih-Yuan Huang, Meng-Chun Hu, Shih-Ping Cheng

    Published 2014-01-01
    “…Recent evidence suggests that local anesthetics have a broad spectrum of effects including inhibition of cell proliferation and induction of apoptosis in neuronal and other types of cells. …”
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    Article
  8. 428

    Gene expression in human hippocampus from cocaine abusers identifies genes which regulate extracellular matrix remodeling. by Deborah C Mash, Jarlath ffrench-Mullen, Nikhil Adi, Yujing Qin, Andrew Buck, John Pablo

    Published 2007-11-01
    “…The chronic effects of cocaine abuse on brain structure and function are blamed for the inability of most addicts to remain abstinent. …”
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    Article
  9. 429

    Parallel clustering algorithm for large-scale biological data sets. by Minchao Wang, Wu Zhang, Wang Ding, Dongbo Dai, Huiran Zhang, Hao Xie, Luonan Chen, Yike Guo, Jiang Xie

    Published 2014-01-01
    “…The runtime is reduced from serval hours to a few seconds, which indicates that parallel algorithm is capable of handling large-scale data sets effectively. The parallel affinity propagation also achieves a good performance when clustering large-scale gene data (microarray) and detecting families in large protein superfamilies.…”
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    Article
  10. 430

    M2-like macrophage-derived exosomes inhibit osteoclastogenesis via releasing miR-1227-5p by Shan Chen, Jian Liu, Lilei Zhu

    Published 2025-01-01
    “…The molecular mechanism was evaluated using microarray analysis, RT-qPCR, dual-luciferase reporter analysis, and RNA pull-down assay. …”
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    Article
  11. 431
  12. 432

    Identification of ZIC2 as a Potential Biomarker Linked with the Clinical Progression and Immune Infiltration of Oral Cancer: A Multicenter Study by Li Gao, Shi-Bai Yan, Fang-Cheng Jiang, Zhi-Guang Huang, Dong-Ming Li, Yu-Lu Tang, Jia-Yuan Luo, Gang Chen, Dan-Ming Wei

    Published 2024-01-01
    “…We explored the expression pattern and clinicopathological significance of ZIC2 in oral cancer through performing in-house tissue microarray and integrated analysis global RNA-seq and microarrays containing large samples. …”
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    Article
  13. 433

    Transcription factor binding site analysis identifies FOXO transcription factors as regulators of the cutaneous wound healing process. by Karl Markus Roupé, Srinivas Veerla, Joshua Olson, Erica L Stone, Ole E Sørensen, Stephen M Hedrick, Victor Nizet

    Published 2014-01-01
    “…The search for significantly overrepresented and co-occurring transcription factor binding sites in the promoter regions of the most differentially expressed genes in microarray data sets could be a powerful approach for finding key regulators of complex biological processes. …”
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    Article
  14. 434

    Global gene expression analysis of canine osteosarcoma stem cells reveals a novel role for COX-2 in tumour initiation. by Lisa Y Pang, Emma L Gatenby, Ayako Kamida, Bruce A Whitelaw, Ted R Hupp, David J Argyle

    Published 2014-01-01
    “…We found that COX-2 inhibition had no effect on CSC growth, or resistance to chemotherapy. …”
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    Article
  15. 435

    Development and characterization of synthetic glucopyranosyl lipid adjuvant system as a vaccine adjuvant. by Rhea N Coler, Sylvie Bertholet, Magdalini Moutaftsi, Jeff A Guderian, Hillarie Plessner Windish, Susan L Baldwin, Elsa M Laughlin, Malcolm S Duthie, Christopher B Fox, Darrick Carter, Martin Friede, Thomas S Vedvick, Steven G Reed

    Published 2011-01-01
    “…We report here on the characterization of a synthetic hexaacylated lipid A derivative, denoted as glucopyranosyl lipid adjuvant (GLA). We assessed the effects of GLA on murine and human dendritic cells (DC) by combining microarray, mRNA and protein multiplex assays and flow cytometry analyses. …”
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    Article
  16. 436

    A plant diterpene counteracts juvenile hormone-mediated gene regulation during Drosophila melanogaster larval development. by Sang Woon Shin, Jun Hyoung Jeon, Seon Ah Jeong, Ji-Ae Kim, Doo-Sang Park, Yunhee Shin, Hyun-Woo Oh

    Published 2018-01-01
    “…Gene ontology analysis also suggested that some of the genes activated-by-JHA/repressed-by-JHD play roles in spermatogenesis. Affymetrix microarray-based analysis indicated that the expression of genes activated-by-JHA/repressed-by-JHD was testis-specific. …”
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    Article
  17. 437

    Bioinformatic identification of Single Nucleotide Polymorphisms (SNPs) in keratin-associated protein genes in alpacas (Vicugna pacos) by Deyanira Figueroa, Manuel More, Gustavo Gutiérrez, F. Abel Ponce de León

    Published 2024-03-01
    “…Of these, 35 SNPs were included in the 76K alpaca SNP microarray and 32 SNPs were confirmed in a population of 936 alpacas.…”
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  18. 438

    Pairing of competitive and topologically distinct regulatory modules enhances patterned gene expression by Itai Yanai, L Ryan Baugh, Jessica J Smith, Casey Roehrig, Shai S Shen‐Orr, Julia M Claggett, Andrew A Hill, Donna K Slonim, Craig P Hunter

    Published 2008-02-01
    “…We used RNAi and time series, whole‐genome microarray analyses to systematically perturb and characterize components of a Caenorhabditis elegans lineage‐specific transcriptional regulatory network. …”
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  19. 439

    Evaluation of LRIG1 Expression in Larynx Pathologies by Yavuz Gündoğdu, Orhan Asya, Ayşegül Gönen, Tajaddin Muradov, Selim Yiğit Erçetin, Zeliha Leyla Cinel, Ali Cemal Yumuşakhuylu

    Published 2022-06-01
    “…Patients’ data were obtained from the medical records. The tissue microarray method was used to evaluate specimens. Results: There was a statistically significant difference between the tumor differentiation, diagnosis, and the expression of LRIG1 (respectively p=0.045, p<0.001). …”
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    Article
  20. 440

    Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data by Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Harshith Guduru, Mohanad Mohammed

    Published 2025-07-01
    “…The proposed approach combines differential gene expression with DESeq2, Linear Models for Microarray (LIMMA), and Least Absolute Shrinkage and Selection Operator (LASSO) regression to reduce multi-omics data dimensionality while preserving relevant biological features. …”
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    Article