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Showing 241 - 260 results of 326 for search '(( executive microarray ) OR ( selective microarray ))', query time: 0.13s Refine Results
  1. 241

    Diverse regulated cell death patterns and immune traits in kidney allograft with fibrosis: a prediction of renal allograft failure based on machine learning, single-nucleus RNA seq... by Yuqing Li, Jiandong Zhang, Xuemeng Qiu, Yifei Zhang, Jiyue Wu, Qing Bi, Zejia Sun, Wei Wang

    Published 2024-12-01
    “…A 9-gene signature, termed RCD risk score (RCDI), was constructed using the least absolute shrinkage and selection operator and multivariate Cox regression algorithms. …”
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    Article
  2. 242

    The potential crosstalk genes and molecular mechanisms between systemic lupus erythematosus and periodontitis by Kai Zhao, Xiaolong Li, Qingmiao Zhu, Mengyu Zhu, Jinge Huang, Ting Zhao

    Published 2025-04-01
    “…Random forest (RF) and Least Absolute Shrinkage and Selection Operator (Lasso) regression were employed to identify key hub genes. …”
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  3. 243

    Genome-wide analysis in the search for candidate genes associated with meat productivity traits in meat-and-dairy goats by M. I. Selionova, A.-M. M. Aibazov, A. A. Sermyagin, A. A. Belous, N. A. Zinovieva

    Published 2022-12-01
    “…GWAS analysis using Goat 50K BeadChip high-density DNA microarray determined a genome-wide level of significance for six SNPs located on chromosomes 5, 6, 10 and 16 associated with the live weight of young animals (4 and 8 months old). …”
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  4. 244

    Prevalence and Diversity of <i>Staphylococcus aureus</i> in Bulk Tank Milk from Community-Based Alpine Dairy Pastures in Tyrol, Austria by Nasrin Ramezanigardaloud, Igor Loncaric, Patrick Mikuni-Mester, Masoumeh Alinaghi, Monika Ehling-Schulz, Johannes Lorenz Khol, Tom Grunert

    Published 2025-07-01
    “…A total of 140 isolates collected from the 94 <i>S. aureus</i>-positive community-based Alpine dairy pastures revealed 33 distinct <i>spa</i> types, with t2953 (<i>n</i> = 33), t529 (<i>n</i> = 12), t267 (<i>n</i> = 11), and t024 (<i>n</i> = 10) being the most common. Selected isolates representing the different <i>spa</i> types were characterised by DNA microarray-based genotyping, multi-locus sequence typing (MLST), and antimicrobial susceptibility testing. …”
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  5. 245

    Spatial transcriptomic characteristics of gastric cancer in young and the expression and role of TMEM176B in gastric cancer cells by Zhenhua Jiang, Yongfeng Wang, Chi Zhang, Shuangyin Han

    Published 2025-05-01
    “…Methods The surgical specimens of six patients with GCY were included to construct a tissue microarray containing the tumor core region (TCR), cancer-adjacent tissue (CAT), and normal gastric tissue (NGT). …”
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  6. 246

    Screening of endoplasmic reticulum stress characteristic genes and immune infiltration manifestations in chronic obstructive pulmonary disease by ZHANG Shuang, LUO Chenyang, HE Zhiyi

    Published 2024-07-01
    “…At the same time, co-expressed mRNA and miRNA were selected to construct the mRNA-miRNA interaction network. …”
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    Article
  7. 247

    Comprehensive bioinformatics analysis identifies hub genes associated with immune cell infiltration in early-onset schizophrenia by Shasha Wu, Tailian Xue, Yilin Li, Weikang Chen, Yan Ren

    Published 2025-01-01
    “…Methods In this study, we recruited 26 EOS patients and 27 healthy controls (HCs), and microarray data were collected. Crossover genes were identified using weighted gene co-expression network analysis (WGCNA) and differential expression genes (DEGs) analysis. …”
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  8. 248

    Noninvasive prediction of fetal growth restriction using maternal plasma cell-free RNA: a case-control study by Yihong Huang, Ruizhi Wang, Lixia Shen, Lingyi Kong, Peisong Chen, Zilian Wang, Zhuyu Li

    Published 2025-07-01
    “…The least absolute shrinkage and selection operator regression was used to select the hub genes from the cell-free RNA DEGs. …”
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    Article
  9. 249

    Does Bilirubin Have a Causal Relationship With Vitiligo? A Mendelian Randomization Study and Bioinformatics Analysis by Xu D, Yin Y, Teng Y, Huang Y, Yu Y, Tao X, Fan Y, Ding X

    Published 2025-05-01
    “…This study aims to investigate the causal associations between bilirubin and vitiligo using Mendelian randomization (MR) analysis, complemented by bioinformatics validation to unravel the underlying molecular mechanisms.Methods: Genome-wide association study (GWAS) data pertaining to vitiligo and bilirubin were obtained, followed by the execution of a bidirectional MR analysis. Additionally, we performed a bioinformatics analysis using microarray datasets to identify differentially expressed genes (DEGs) in relation to bilirubin in patients with vitiligo. …”
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  10. 250

    Penaeus vannamei Genetic Evaluation for Growth and Survival Traits During White Spot Syndrome Virus Infection Based on 55K SNP Chip by Yijing HE, Mianyu LIU, Sheng LUAN, Jie KONG, Xupeng LI, Baoxiang CAO, Kun LUO, Jian TAN, Jiawang CAO, Ping DAI, Guangfeng QIANG, Zhaoxin WANG, Juan SUI, Xianhong MENG

    Published 2025-06-01
    “…Based on the survival time of individual resistance to WSSV within the family line, 590 individuals were uniformly selected and typed using 55K SNP liquid-phase microarrays to obtain genotypic data for certain individuals. …”
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    Article
  11. 251

    Integrated analysis of genomic and transcriptomic profiles identified a prognostic immunohistochemistry panel for esophageal squamous cell cancer by Yue Yu, Zhihua Li, Chenjun Huang, Haisheng Fang, Fei Zhao, Yue Zhou, Xianglong Pan, Qifan Li, Yu Zhuang, Liang Chen, Jing Xu, Wei Wang

    Published 2020-01-01
    “…Results Three genes were selected, namely, ANO1, GAL, and MMP3, which were aberrantly expressed in ESCC tumor tissues (P < .001). …”
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  12. 252

    Transcriptomic Signatures of Antibody-mediated Rejection in Early Biopsies With Negative Histology in HLA-incompatible Kidney Transplantation by Petra Hruba, PhD, Jiri Klema, PhD, Petra Mrazova, PhD, Eva Girmanova, PhD, Katerina Jaklova, MS, Ludek Voska, MD, Martin Kment, MD, Martina Mackova, PhD, Klara Osickova, MD, Vladimir Hanzal, MD, Philip F. Halloran, MD, PhD, Ondrej Viklicky, MD, PhD

    Published 2025-01-01
    “…RNA sequencing from biopsies selected from the biobank was used in cohort 1 (n = 32) and microarray, including the molecular microscope (Molecular Microscope Diagnostic System [MMDx]) algorithm, in recent cohort 2 (n = 30). …”
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  13. 253

    Genetic correlation between fetal nuchal translucency thickening and cystic hygroma and exploration of pregnancy outcome by Jianli Zheng, Tiantian Wang, Huilin Sun, Yongjuan Guan, Fangfang Yang, Jing Wu, Feifei Ying, Yadong Fu, Min Li, Jianbing Liu

    Published 2024-11-01
    “…Abstract Chromosome microarray analysis (CMA) and whole exome sequencing (WES) are increasingly utilized in prenatal diagnosis of abnormal ultrasound findings, but studies on correlation between pathogenic copy number variations (pCNVs) and single-gene mutations in fetuses with nuchal translucency (NT) thickening/cystic hygroma (CH), and pregnancy outcomes, are rare. …”
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  14. 254

    Ultrasensitive Peptide-Based Electrochemical Biosensor for Universal Diagnostic of Dengue by Isis Campos Prado, João Pedro Rangel da Silva Carvalho, André Souza Araujo, Paloma Napoleão-Pêgo, Salvatore Giovanni De-Simone

    Published 2025-04-01
    “…An identified linear B-cell epitope (DENV/18) specific for DENV 1–4 serotypes recognized by IgG in patient sera was selected as a target molecule after a microarray of peptides using the SPOT-synthesis methodology. …”
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  15. 255

    CircATP5C1 promotes triple-negative breast cancer progression by binding IGF2BP2 to modulate CSF-1 secretion by Hongbo Liu, Haoqi Wang, Wei Gao, Yang Yuan, Tiantian Tang, Meixiang Sang, Fei Liu, Cuizhi Geng

    Published 2025-12-01
    “…We found a novel circRNA named circATP5C1, whose function in TNBC remains uncovered. Tissue microarray was used to analyze the association between the expression of circATP5C1 and the prognoses of TNBC patients. …”
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    Article
  16. 256

    Inhibition of ATG5-mediated autophagy maintains PMAIP1 stability to promote cell apoptosis and suppress triple-negative breast cancer progression by Fangjian Shang, Hongfeng Nie, Liyan Du, Jin Shang, Xiangquan Song, Ya Chen, Hui Li, Zhuo Wang, Yixin Qi, Liyan Zhao

    Published 2025-05-01
    “…Methods TNBC-related datasets were retrieved from The Cancer Genome Atlas and selected by Prediction Analysis of Microarray 50 analysis to assess the expression of PMAIP1 in the samples. …”
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    Article
  17. 257

    Identifying 4 Novel lncRNAs as Potential Biomarkers for Acute Rejection and Graft Loss of Renal Allograft by Zedan Zhang, Yanlin Tang, Hongkai Zhuang, Enyu Lin, Lu Xie, Xiaoqiang Feng, Jiayi Zeng, Yanjun Liu, Jiumin Liu, Yuming Yu

    Published 2020-01-01
    “…Then, 4 optimal DElncRNAs, ATP1A1-AS1, CTD-3080P12.3, EMX2OS, and LINC00645, were selected from 17 prognostic DElncRNAs to establish the 4-lncRNA risk score model. …”
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    Article
  18. 258

    Characterizing Methicillin-Resistant <i>Staphylococcus</i> spp. and Extended-Spectrum Cephalosporin-Resistant <i>Escherichia coli</i> in Cattle by Lisa Abdank, Igor Loncaric, Sascha D. Braun, Elke Müller, Stefan Monecke, Ralf Ehricht, Reinhild Krametter-Frötscher

    Published 2024-11-01
    “…Isolates were characterized by a polyphasic approach including susceptibility pheno- and genotyping and microarray-based assays. No methicillin-resistant <i>Staphylococcus aureus</i> was found in the milk samples, but one nasal swab was positive for methicillin-resistant <i>Staphylococcus aureus</i>. …”
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  19. 259

    Establishment and Genetic Profiling of Platinum/Taxane Doublet-Resistant Cells Generated by Hybridizing Single Resistant Cells by Seiji Isonishi, Rika Saito, Noriko Yamaguchi, Saburo Saito

    Published 2022-09-01
    “…The resistant cells were selected through repeated exposure to cisplatin and paclitaxel. …”
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  20. 260

    Bioinformatics-based analysis of autophagy-related genes and prediction of potential Chinese medicines in diabetic kidney disease by Yufeng Xing, Zining Peng, Chaoyang Ye

    Published 2025-03-01
    “…Methods: Data from sequencing microarrays GSE30528, GSE30529, and GSE1009 in the Gene Expression Omnibus (GEO) were employed. …”
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