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Showing 341 - 360 results of 1,096 for search '(( effective microarray ) OR ((( selective microarray ) OR ( detection microarray ))))', query time: 0.13s Refine Results
  1. 341

    Pan-cancer analysis identifies CD155 as a promising target for CAR-T cell therapy by Xiaohong Liu, Yue Sun, Boxu Lin, Hao Xiong, Xinyue Lu, Binghe Tan, Chenglin Zhang, Mingyao Liu, Juliang Qin, Na Zhang, Bing Du

    Published 2025-06-01
    “…Conclusions Our study demonstrates that CD155 is selectively expressed in cancer cells while being rarely detected in normal tissues, and may serve as a promising pan-cancer target for CAR-T therapy. …”
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    Article
  2. 342

    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
  3. 343

    Inhibition of Rho Kinase Induces Antioxidative Molecules and Suppresses Reactive Oxidative Species in Trabecular Meshwork Cells by Tomokazu Fujimoto, Toshihiro Inoue, Saori Ohira, Nanako Awai-Kasaoka, Takanori Kameda, Miyuki Inoue-Mochita, Hidenobu Tanihara

    Published 2017-01-01
    “…The cynomolgus monkey array and 12,613 probes were used in DNA microarray analysis, and the affected genes were categorized using gene ontology analysis. …”
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    Article
  4. 344

    Comparative linkage meta-analysis reveals regionally-distinct, disparate genetic architectures: application to bipolar disorder and schizophrenia. by Brady Tang, Tricia Thornton-Wells, Kathleen D Askland

    Published 2011-04-01
    “…Since it is likely a majority of common variants of modest effect have been identified through the application of tagSNP-based microarray platforms (i.e., GWAS), alternative approaches robust to detection of low-frequency (1-5% MAF) and rare (<1%) variants are of great importance. …”
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    Article
  5. 345

    Development of HuMiChip for functional profiling of human microbiomes. by Qichao Tu, Zhili He, Yan Li, Yanfei Chen, Ye Deng, Lu Lin, Christopher L Hemme, Tong Yuan, Joy D Van Nostrand, Liyou Wu, Xuedong Zhou, Wenyuan Shi, Lanjuan Li, Jian Xu, Jizhong Zhou

    Published 2014-01-01
    “…Here we have developed a functional gene-based microarray for profiling human microbiomes (HuMiChip) with 36,802 probes targeting 50,007 protein coding sequences for 139 key functional gene families. …”
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    Article
  6. 346

    Comparative Study of PPARγ Targets in Human Extravillous and Villous Cytotrophoblasts by Fulin Liu, Christine Rouault, Mickael Guesnon, Wencan Zhu, Karine Clément, Séverine A. Degrelle, Thierry Fournier

    Published 2020-01-01
    “…Visualizations were prepared in Cytoscape. From our microarray data, 139 DEGs were detected in rosiglitazone-treated EVCTs (RT-EVCTs) and 197 DEGs in rosiglitazone-treated VCTs (RT-VCTs). …”
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    Article
  7. 347

    Genomic copy number variants: evidence for association with antibody response to anthrax vaccine adsorbed. by Michael I Falola, Howard W Wiener, Nathan E Wineinger, Gary R Cutter, Robert P Kimberly, Jeffrey C Edberg, Donna K Arnett, Richard A Kaslow, Jianming Tang, Sadeep Shrestha

    Published 2013-01-01
    “…Antibodies to protective antigen were measured at week 8 (early response) and week 30 (peak response) using an enzyme-linked immunosorbent assay. We used DNA microarray data (Affymetrix 6.0) and two CNV detection algorithms, hidden markov model (PennCNV) and circular binary segmentation (GeneSpring) to determine CNVs in all individuals. …”
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    Article
  8. 348

    Gene network inference and biochemical assessment delineates GPCR pathways and CREB targets in small intestinal neuroendocrine neoplasia. by Ignat Drozdov, Bernhard Svejda, Bjorn I Gustafsson, Shrikant Mane, Roswitha Pfragner, Mark Kidd, Irvin M Modlin

    Published 2011-01-01
    “…High throughput techniques such as inference of gene regulatory networks from microarray experiments can objectively define signaling machinery in this disease. …”
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    Article
  9. 349

    A stratified transcriptomics analysis of polygenic fat and lean mouse adipose tissues identifies novel candidate obesity genes. by Nicholas M Morton, Yvonne B Nelson, Zoi Michailidou, Emma M Di Rollo, Lynne Ramage, Patrick W F Hadoke, Jonathan R Seckl, Lutz Bunger, Simon Horvat, Christopher J Kenyon, Donald R Dunbar

    Published 2011-01-01
    “…Selected candidate genes Npr3 and Thbs1, as well as Gys2, a non-QTL gene that otherwise passed our enrichment criteria were characterised, revealing novel functional effects consistent with a contribution to obesity.…”
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  10. 350

    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
  11. 351

    Fecal carriage of vanB antibiotic resistance gene affects adipose tissue function under vancomycin use by Lars M. M. Vliex, Giang N. Le, Marina Fassarella, Dorien Reijnders, Gijs H. Goossens, Erwin G. Zoetendal, John Penders, Ellen E. Blaak

    Published 2022-12-01
    “…Abdominal subcutaneous adipose tissue (AT) gene expression was assessed using Affymetrix microarray. Gut microbial composition was determined using the Human Intestinal Tract Chip (HITChip) microarray. …”
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    Article
  12. 352

    Weighted frequent gene co-expression network mining to identify genes involved in genome stability. by Jie Zhang, Kewei Lu, Yang Xiang, Muhtadi Islam, Shweta Kotian, Zeina Kais, Cindy Lee, Mansi Arora, Hui-Wen Liu, Jeffrey D Parvin, Kun Huang

    Published 2012-01-01
    “…Gene co-expression network analysis is an effective method for predicting gene functions and disease biomarkers. …”
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    Article
  13. 353

    Integrative analysis of T cell-mediated tumor killing-related genes reveals KIF11 as a novel therapeutic target in esophageal squamous cell carcinoma by Xinxin Cheng, Huihui Zhao, Zhangwang Li, Liping Yan, Qingjie Min, Qingnan Wu, Qimin Zhan

    Published 2025-02-01
    “…The KIF11 expression was detected by multiplex fluorescent immunohistochemistry on tissue microarray from ESCC patients. …”
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    Article
  14. 354

    Analysis of gene expression difference and biological process in chorionic villi of unexplained recurrent spontaneous abortion by Linling Shi, Lun Wei, Meiqiu Lu, Hongmei Ding, Le Bo

    Published 2024-12-01
    “…Abstract Objective To explore the biological relationship between the regulatory signal pathways involved in differentially expressed genes and recurrent spontaneous abortion (RSA) by analyzing the gene expression microarray data of unexplained RSA. Methods The gene expression profile data of chorionic villi from unexplained recurrent abortion with normal karyotype and selective induced abortion were compared. …”
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    Article
  15. 355

    Bioinformatics and network pharmacology-based study to elucidate the multi-target pharmacological mechanism of the indigenous plants of Medina valley in treating HCV-related hepato... by Mubarak A. Alamri

    Published 2023-06-01
    “…But the findings were not validated in actual patients, so further investigation is needed to confirm the potential use of selected medicinal plants towards HCV-related HC.…”
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    Article
  16. 356

    Low miR-936-mediated upregulation of Pim-3 drives sorafenib resistance in liver cancer through ferroptosis inhibition by activating the ANKRD18A/Src/NRF2 pathway by Xiao Li, Mengna Cui, Long Xu, Qie Guo

    Published 2024-10-01
    “…The sorafenib-resistant liver cancer cell lines Huh7/SOR and HepG2/SOR were also established. miRNA and mRNA microarray analyses, TargetScan prediction, dual luciferase reporter assay, RNA pull-down assay, co-mmunoprecipitation (Co-IP) and pull-down assays, a transcription factor-specific NRF2 assay, an iron detection assay, a lipid peroxidation quantification assay, a ROS measurement assay, and GSH/GSSG and GSH-px standard quantitative assays were used.ResultsWe showed that upregulation of the provirus-integrating site for Moloney murine leukemia virus 3 (Pim-3) predicted poor response and unsatisfactory prognosis in sorafenib-treated liver cancer patients. …”
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    Article
  17. 357

    Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma by Gang Wang, Jiaxing Zhang, Yirong Li, Yuyu Zhang, Weiwei Dong, Hengquan Wu, Jinglan Wang, Peiqing Liao, Ziqiang Yuan, Tao Liu, Wenting He

    Published 2025-04-01
    “…Abstract The microarray and single-cell RNA-sequencing (scRNA-seq) datasets of hepatocellular carcinoma (HCC) were downloaded from the Gene Expression Omnibus (GEO) database. …”
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    Article
  18. 358

    Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach by Joy Prokash Debnath, Kabir Hossen, Sabrina Bintay Sayed, Md. Sayeam Khandaker, Preonath Chondrow Dev, Saifuddin Sarker, Tanvir Hossain

    Published 2025-01-01
    “…This study aimed to identify the differentially expressed genes (DEGs) induced by the 2022 MPXV infection through comprehensive bioinformatics analyses of microarray and RNA-Seq datasets from post-infected cell types with different MPXV clades. …”
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    Article
  19. 359

    Efficacy and tolerability of rufinamide in the treatment of epilepsy (experience of the Svt. Luka’s Institute of Child Neurology and Epilepsy) by K. Yu. Mukhin, O. A. Pylaeva, M. Yu. Bobylova, N. V. Freydkova, L. Yu. Glukhova, M. O. Abramov

    Published 2018-11-01
    “…Side effects were observed in 6 (19 %) participants. Side effects (forced normalization) caused withdrawal of rufinamide in 1 (3.2 %) patient. …”
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    Article
  20. 360

    High-Resolution Genomic Profiling of Chromosomal Abnormalities in Human Stem Cells Using the 135 K StemArray by Aaron M. Elliott, Kristi A. Hohenstein Elliott, Anja Kammesheidt

    Published 2012-01-01
    “…Here, we describe an improved version of our StemArray, a stem-cell-focused comparative genomic hybridization (aCGH) microarray, which contains 135,000 probes and covers over 270 stem cell and cancer related genes at the exon level. …”
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    Article