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Showing 641 - 660 results of 818 for search '(((( effective microarray ) OR ( executive microarray ))) OR ( selection microarray ))', query time: 0.16s Refine Results
  1. 641
  2. 642

    TCL1A in naïve B cells as a therapeutic target for type 1 diabetesResearch in context by Siweier Luo, Lina Zhang, Chunfang Wei, Chipeng Guo, Zhe Meng, Honghui Zeng, Lele Hou, Le Wang, Zulin Liu, Yufei Du, Shiyu Tan, Yating Zhang, Xiaoding Xu, Liyang Liang, Yiming Zhou

    Published 2025-03-01
    “…Using a protein phosphorylation microarray, we confirmed that TCL1A knockdown specifically impaired AKT2 phosphorylation and affected B cell survival and proliferation. …”
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    Article
  3. 643

    Revealing the role of natural killer cells in ankylosing spondylitis: identifying diagnostic biomarkers and therapeutic targets by Yuling Chen, Yan Li, Yuan Xu, Qing Lv, Yuanchun Ye, Jieruo Gu

    Published 2025-12-01
    “…This study integrated bioinformatics methods with experimental validation to explore the role of natural killer (NK) cells in AS.Methods Two microarray datasets, GSE25101 and GSE73754, were selected, and the scRNA-seq data were obtained from GSE194315 and Liu’s research. …”
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  4. 644

    Profiling of gastric cancer cell-surface markers to achieve tumour–normal discrimination by Henry Yang, Khek Yu Ho, Judith Toh, Michal Marek Hoppe, Teena Thakur, Kar Tong Tan, Brendan Pang, Sharmaine Ho, Rony Roy, Khay Guan Yeoh, Raghav Sundar, Anand Jeyasekharan

    Published 2020-12-01
    “…After validation with TCGA data (n=29 matched tumour and normal pairs), the following proteins were selected for mIHC analysis: CEACAM5, CEACAM6, CLDN4, CLDN7, and EpCAM. …”
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    Article
  5. 645

    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
  6. 646

    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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  7. 647

    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
  8. 648

    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
  9. 649

    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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  10. 650

    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
  11. 651

    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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  12. 652
  13. 653

    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
  14. 654

    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
  15. 655

    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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  16. 656
  17. 657
  18. 658

    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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  19. 659

    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
  20. 660