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Showing 641 - 660 results of 814 for search '(( effective microarray ) OR ((( selection microarray ) OR ( seffective microarray ))))', query time: 0.14s Refine Results
  1. 641

    Clinical significance and gene prediction of a novel classification system based on tacrolimus concentration-to-dose ratio in the early post-liver transplant period by Junwei Fan, Junwei Fan, Peihao Wen, Liyun Yuan, Yan Xia, Shijie Hu, Xiaoqing Zhang, Zhihai Peng, Zhihai Peng

    Published 2025-07-01
    “…All recipients and their corresponding donor livers from center 1 were genotyped using an Affymetrix DMET Plus microarray, and association analysis was performed using trough blood concentration/weight-adjusted-dose ratios (CDR, (ng/mL)/(mg/kg)). …”
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    Article
  2. 642

    Modulation of homologous recombination gene activity in breast tumor cells in an <i>in vitro</i> model by M. M. Tsyganov, A. A. Frolova, E. A. Kravtsova, I. A. Tsydenova, M. K. Ibragimova

    Published 2024-06-01
    “…To assess the presence of chromosomal aberrations, microarray analysis was performed on DNA chips.Results. …”
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    Article
  3. 643

    Patient and provider preferences for long-acting TB preventive therapy by M. Vermeulen, K.K. Scarsi, R. Furl, H. Sayles, M.J. Anderson, S. Valawalkar, A. Kadam, S.R. Cox, V. Mave, M. Barthwal, C. Schutz, A. Ward, J. Dountio Ofimboudem, G. Meintjes, S. Rannard, A. Owen, S. Swindells, on behalf of the LONGEVITY consortium

    Published 2025-05-01
    “…CONCLUSION: Injectable LA-TPT may be highly acceptable and feasible if concerns surrounding cost, effectiveness, and safety are addressed.…”
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    Article
  4. 644

    Vitamin C Treatment Rescues Prelamin A-Induced Premature Senescence of Subchondral Bone Mesenchymal Stem Cells by Yan-Nv Qu, Li Zhang, Ting Wang, He-Yang Zhang, Ze-Ji Yang, Fang-Fang Yuan, Yan Wang, Si-Wei Li, Xiao-Xia Jiang, Xiao-Hua Xie

    Published 2020-01-01
    “…Importantly, after VC treatment, MSC/PLA showed enhanced therapy effect in the hind-limb ischemia model. In conclusion, prelamin A can accelerate SCB-MSC premature senescence by inducing DNA damage. …”
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    Article
  5. 645

    Acetylation suppresses breast cancer progression by sustaining CLYBL stability by Xinyue Deng, Chenglong Ma, Xingyu Chen, Ming Yi, Qianhua Cao, Ruocen Liao, Xingyu Lei, Longchang Bai, Bin Zhao, Yingnan Wang, Zhuoyang Shen, Liujing Wu, Chenfang Dong, Zhijun Dai

    Published 2025-04-01
    “…Methods CLYBL expression patterns in breast cancer were assessed using a breast cancer tissue microarray, immunohistochemistry, and publicly available datasets. …”
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    Article
  6. 646

    Exploration of the potential neurotransmitter or neuromodulator-like properties of harmine: evidence from synthesis to synaptic modulation by Zhejun Xie, Ning Cao, Manlin Li, Hanxue Wang, Huida Guan, Xuemei Cheng, Changhong Wang

    Published 2025-07-01
    “…Subsequently, the release, metabolism, and uptake pathways of harmine were investigated using rat brain synaptosomes and primary neural cells through mass spectrometry analysis. A human proteome microarray was employed to screen for harmine-binding receptors, followed by experimental validation.Results:Adipocyte plasma membrane-associated protein isoform X1 (APMAP-X1) could effectively catalyze the Pictet-Spengler reaction in mammals to generate tetrahydroharmine, which was subsequently oxidized by myeloperoxidase (MPO) to produce harmine. …”
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    Article
  7. 647

    Combining multi-omics analysis with machine learning to uncover novel molecular subtypes, prognostic markers, and insights into immunotherapy for melanoma by Songyun Zhao, Zihao Li, Kaibo Liu, Gaoyi Wang, Quanqiang Wang, Hua Yu, Wanying Chen, Hao Dai, Yijun Li, Jiaheng Xie, Yucang He, Liqun Li

    Published 2025-04-01
    “…Methods We obtained and processed transcriptomic data, including RNA expression profiles, methylation microarray data, gene mutation data, and clinical information, from the TCGA dataset using multi-omics analysis and machine learning techniques. …”
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    Article
  8. 648
  9. 649

    DSN1 may predict poor prognosis of lower-grade glioma patients and be a potential target for immunotherapy by Yulong Jia, Meiling Liu, Han Liu, Wenjia Liang, Qingyun Zhu, Chao Wang, Yake Chen, Yanzheng Gao, Zhendong Liu, Xingbo Cheng

    Published 2024-12-01
    “…DSN1 has been previously found to be positively correlated with various cancers. However, the effect of DSN1 or its methylation on the prognosis, molecular characteristics, and immune cell infiltration of low-grade glioma (LGG) has not yet been studied. …”
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    Article
  10. 650

    Droplets Cas13a‐RPA measurement delineates potential role for plasma circWDR37 in colorectal cancer by Jingsong Xu, Li Cao, Shuang Yang, Ying Jian, Yu Liu, Zhen Shen, Qian Liu, Xiang Chen, Min Li, Shun Li, Xiaolei Zuo, Min Li, Hua Wang

    Published 2025-01-01
    “…The arraystar circRNA microarray assays, functional experiments in vitro and in vivo, and qPCR were performed to discover and validate that circWDR37 is a biomarker for early screening and prognosis evaluation of CRC. …”
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    Article
  11. 651

    Molecular mechanism and biological pathway of high-expressed RAD51 in regulating cell adhesion and potentially affecting oral squamous cell carcinoma by Yu-Xing Tang, Yu-Yan Pang, Yan Cui, Guo-Jiao Wu, Lin-Qing Huang, Chang-Zhan Zhou, Bin Li, Qi Li, Bang-Teng Chi, Rong-Quan He, Di-Yuan Qin, Jian-Di Li, Gang Chen, Dong-Ming Li, Yi-Wu Dang

    Published 2025-07-01
    “…Methods Bulk RNA (RNA-seq and microarray), immunohistochemistry (IHC), and single-cell sequencing (scRNA-seq) were used to assess RAD51 expression and its clinical relevance in OSCC. …”
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  12. 652
  13. 653
  14. 654

    Bioinformatics analysis and experimental validation of potential targets and pathways in chronic kidney disease associated with renal fibrosis by Cui Huimin, Zhao Yuxin, Wang Peng, Gong Wei, Lin Hong, Li Na, Yang Jianjun

    Published 2025-04-01
    “…Conversely, when CHUK was further overexpressed, the inhibitory effect of miR-223-3p on epithelial-mesenchymal transition (EMT) was attenuated, confirming the specific interaction between miR-223-3p and CHUK. …”
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    Article
  15. 655

    Contribution of cuproptosis and immune-related genes to idiopathic pulmonary fibrosis disease by Chengji Jin, Jia Li, Qiaoyu Li, Lipeng Zhang, Shaomao Zheng, Qiong Feng, Yongjie Li, Yu Zheng, Qiuli Nie, Jin Liang, Jing Wang, Jing Wang

    Published 2025-02-01
    “…Additionally, multiple bioinformatics analyses were employed to identify immune-related biomarkers associated with the diagnosis of IPF, offering valuable insights for future treatment strategies.MethodsFour microarray datasets were selected from the Gene Expression Omnibus (GEO) collection for screening. …”
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    Article
  16. 656
  17. 657

    Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function. by Wenbo Tang, Matthew Kowgier, Daan W Loth, María Soler Artigas, Bonnie R Joubert, Emily Hodge, Sina A Gharib, Albert V Smith, Ingo Ruczinski, Vilmundur Gudnason, Rasika A Mathias, Tamara B Harris, Nadia N Hansel, Lenore J Launer, Kathleen C Barnes, Joyanna G Hansen, Eva Albrecht, Melinda C Aldrich, Michael Allerhand, R Graham Barr, Guy G Brusselle, David J Couper, Ivan Curjuric, Gail Davies, Ian J Deary, Josée Dupuis, Tove Fall, Millennia Foy, Nora Franceschini, Wei Gao, Sven Gläser, Xiangjun Gu, Dana B Hancock, Joachim Heinrich, Albert Hofman, Medea Imboden, Erik Ingelsson, Alan James, Stefan Karrasch, Beate Koch, Stephen B Kritchevsky, Ashish Kumar, Lies Lahousse, Guo Li, Lars Lind, Cecilia Lindgren, Yongmei Liu, Kurt Lohman, Thomas Lumley, Wendy L McArdle, Bernd Meibohm, Andrew P Morris, Alanna C Morrison, Bill Musk, Kari E North, Lyle J Palmer, Nicole M Probst-Hensch, Bruce M Psaty, Fernando Rivadeneira, Jerome I Rotter, Holger Schulz, Lewis J Smith, Akshay Sood, John M Starr, David P Strachan, Alexander Teumer, André G Uitterlinden, Henry Völzke, Arend Voorman, Louise V Wain, Martin T Wells, Jemma B Wilk, O Dale Williams, Susan R Heckbert, Bruno H Stricker, Stephanie J London, Myriam Fornage, Martin D Tobin, George T O'Connor, Ian P Hall, Patricia A Cassano

    Published 2014-01-01
    “…Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. …”
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    Article
  18. 658

    Bioinformatics-based screening and validation of PANoptosis-related biomarkers in periodontitis by Qing Sun, Qing Sun, JinYue Hu, JinYue Hu, RuYue Wang, RuYue Wang, ShuiXiang Guo, ShuiXiang Guo, GeGe Zhang, GeGe Zhang, Ao Lu, Ao Lu, Xue Yang, Xue Yang, LiNa Wang, LiNa Wang

    Published 2025-06-01
    “…Subnetworks were identified using the MCODE plugin. Key genes were selected based on integration with rank-sum test results. …”
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    Article
  19. 659

    A novel polypeptide encoded by circSPIRE1 promotes prostate cancer proliferation and migration by restraining the ubiquitin-dependent degradation of LRP5 by Jintao Hu, Juanyi Shi, Junjie Wang, Yunfei Xiao, Degeng Kong, Mingchao Gao, Tianlong Luo, Shizhong Xu, Zhihan Yuan, Xinyi Ma, Xueseng Dong, Jingang Huang, Cheng Liu, Kewei Xu

    Published 2025-07-01
    “…This study characterizes a novel circRNA-encoded protein, rtSPIRE1, and investigates its mechanistic role in prostate cancer proliferation and migration, as well as its diagnostic and therapeutic potential. Methods RNA microarray identified circSPIRE1 in prostate cancer tissues. …”
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    Article
  20. 660

    circKCNQ5 promotes the proliferation of DNA-methyltransferase 3A R882 mutated acute myeloid leukemia cells by elevating high-mobility group box 1 expression by Yijian Chen, Xiaodan Zhu, Chuanming Lin, Rong Xu, Pengxiang Xu, Liuyan Xin, Lin Li, Liqun Zhang

    Published 2025-12-01
    “…Background Patients with acute myeloid leukemia (AML) harboring the DNA-methyltransferase 3 A (DNMT3A) R882 mutation (DR882MUT) usually have a high recurrence rate and poor prognosis. circKCNQ5 levels were aberrantly elevated in patients with AML according to the microarray platform. Therefore, the purpose of this study is to investigate the effect and mechanism of circKCNQ5 on DR882MUT AML cell proliferation.Methods A DR882MUT cell line model was established. circKCNQ5 expression in AML cells expressing wild-type DNMT3A (DNMT3A-WT) or DR882MUT was analyzed using RT-qPCR. …”
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    Article