Analysis of Gene Expression in Human Dermal Fibroblasts Treated with Senescence-Modulating COX Inhibitors by Jeong A. Han, Jong-Il Kim

“…In contrast, celecoxib, another COX-2–selective inhibitor, and aspirin, a non-selective COX inhibitor, accelerated the senescence and aging. …”
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Reprogramming‐derived gene cocktail increases cardiomyocyte proliferation for heart regeneration by Yuan‐Yuan Cheng, Yu‐Ting Yan, David J Lundy, Annie HA Lo, Yu‐Ping Wang, Shu‐Chian Ruan, Po‐Ju Lin, Patrick CH Hsieh

“…Several candidate genes were selected and tested for their ability to induce CM proliferation. …”
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Comparing gene-gene co-expression network approaches for the analysis of cell differentiation and specification on scRNAseq data by Alisa Pavel, Manja Gersholm Grønberg, Line H. Clemmensen

“…Gene-gene co-expression network analysis has been widely applied to bulk RNA sequencing and microarray data to investigate different phenotypes and compound exposures. …”
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Infection of Human Coronary Artery Endothelial Cells by Group B Streptococcus Contributes to Dysregulation of Apoptosis, Hemostasis, and Innate Immune Responses by Claudia Beyrich, Jürgen Löffler, Anna Kobsar, Christian P. Speer, Susanne Kneitz, Martin Eigenthaler

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Tissue-restricted expression of Nrf2 and its target genes in zebrafish with gene-specific variations in the induction profiles. by Hitomi Nakajima, Yaeko Nakajima-Takagi, Tadayuki Tsujita, Shin-Ichi Akiyama, Takeshi Wakasa, Katsuki Mukaigasa, Hiroshi Kaneko, Yutaka Tamaru, Masayuki Yamamoto, Makoto Kobayashi

“…Seven zebrafish genes (gstp1, mgst3b, prdx1, frrs1c, fthl, gclc and hmox1a) suitable for WISH analysis were selected from candidates for Nrf2 targets identified by microarray analysis. …”
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Inferring pathway activity toward precise disease classification. by Eunjung Lee, Han-Yu Chuang, Jong-Won Kim, Trey Ideker, Doheon Lee

“…The advent of microarray technology has made it possible to classify disease states based on gene expression profiles of patients. …”
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Prevalence and characteristics of Livestock-Associated Methicillin-Resistant Staphylococcus aureus (LA-MRSA) isolated from chicken meat in the province of Quebec, Canada. by Jocelyn Bernier-Lachance, Julie Arsenault, Valentine Usongo, Éric Parent, Josée Labrie, Mario Jacques, François Malouin, Marie Archambault

“…A total of 309 chicken drumsticks and thighs were randomly selected in 2013 from 43 retail stores in the Monteregie. …”
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Expression profiles and bioinformatic analysis of circular RNA in rheumatic heart disease: potential hsa_circ_0001490 and hsa_circ_0001296 as a diagnostic biomarker by Xiaoliang Chen, Lina Chen, Li Bi, Shunying Zhao, Xiaoyan Hu, Ni Li, Linwen Zhu, Guofeng Shao

“…The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to predict the potential functions of the differentially expressed genes and RHD-related pathways.ResultsFour circRNAs were selected from circRNA microarray data. qRT-PCR confirmed that hsa_circ_0001490 and hsa_circ_0001296 were significantly upregulated in RHD plasma (4.28-fold, P < 0.001; 5.24-fold, P < 0.001, respectively). …”
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CD155 blockade enhances allogeneic natural killer cell-mediated antitumor response against osteosarcoma by Lei Shi, Christian M Capitini, Amy K Erbe, Fernanda Szewc, Longzhen Song, Matthew H Forsberg, David P Turicek, Paul D Bates, Devin M Burpee, Aicha E Quamine, Johnathan D Ebben, Jillian M Kline, Emily O Lafeber, Madison F Phillips, Monica M Cho, Amanda S Ceas, John A Kink

“…Mice bearing pulmonary OS metastases underwent alloBMT and alloNK cell infusion with anti-CD155 either before or after tumor induction, with select groups receiving anti-DNAM-1 pretreated alloNK cells. …”
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A Synopsis of Serum Biomarkers in Cutaneous Melanoma Patients by Pierre Vereecken, Frank Cornelis, Nicolas Van Baren, Valérie Vandersleyen, Jean-François Baurain

“…However, the poor sensitivity and specificity of those markers and many other molecules are serious limitations for their routine use in both early (AJCC stage I and II) and advanced stages of melanoma (AJCC stage III and IV). Microarray technology and proteomic research will surely provide new candidates in the near future allowing more accurate definition of the individual prognosis and prediction of the therapeutic outcome and select patients for early adjuvant strategies.…”
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Maternal bisphenol a exposure impacts the fetal heart transcriptome. by Kalyan C Chapalamadugu, Catherine A Vandevoort, Matthew L Settles, Barrie D Robison, Gordon K Murdoch

“…At the end of treatment, fetal heart tissues were collected and chamber specific transcriptome expression was assessed using genome-wide microarray. Quantitative real-time PCR was conducted on select genes and ventricular tissue glycogen content was quantified. …”
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Identification and validation of TSPAN13 as a novel temozolomide resistance-related gene prognostic biomarker in glioblastoma. by Haofei Wang, Zhen Liu, Zesheng Peng, Peng Lv, Peng Fu, Xiaobing Jiang

“…Using LASSO Cox analysis, we selected 12 TMZR-RDEGs to construct a risk score model, which was evaluated for performance through survival analysis, time-dependent ROC, and stratified analyses. …”
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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

“…In this study, we used a network mining algorithm to identify tightly connected gene co-expression networks that are frequently present in microarray datasets from 33 types of cancer which were derived from 16 organs/tissues. …”
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Have maternal or paternal ages any impact on the prenatal incidence of genomic copy number variants associated with fetal structural anomalies? by Marta Larroya, Marta Tortajada, Eduard Mensión, Montse Pauta, Laia Rodriguez-Revenga, Antoni Borrell

“…We conducted a non-paired case-control study (1:2 ratio) among pregnancies undergoing chromosomal microarray analysis (CMA) because of fetal ultrasound anomalies, from December 2012 to May 2020. …”
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Identification of the Exercise and Time Effects on Human Skeletal Muscle through Bioinformatics Methods by Mufang Feng, Jie Ji, Xiaoliu Li, Xinming Ye

“…To determine the effects of exercise and time on human skeletal muscle, we downloaded the microarray expression profile of GSE1832 and analyzed it to select differentially expressed genes (DEGs). …”
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Cuproptosis genes in predicting the occurrence of allergic rhinitis and pharmacological treatment. by Ting Yi

“…<h4>Results</h4>Four AR signature genes (MRPS30, CLPX, MRPL13, and MRPL53) were selected by the MCC, EPC, BottleNeck, and Closeness algorithms. …”
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Bioinformatic-based differential expression gene expressions of epithelial mesenchymal transformation in diabetic kidney disease and prediction of traditional Chinese medicine by Liu Wu, Zhou Yi, Yu Fang-ning, Zhang Ning

“…ObjectiveBased upon the bioinformatic analysis of gene chip data between patients with diabetic kidney disease （DKD） and normal controls， differentially expressed genes of epithelial mesenchymal transformation of DKD were screened for elucidating its pathogenesis and predicting the potential therapeutic Chinese medicine for DKD.MethodsGSE23338 microarray data were downloaded from gene expression omnibus， related differentially expressed genes screened by R language and differentially expressed genes analyzed by Gene Ontology， Kyoto Encyclopedia of Genes and Genomes. …”
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Cellular senescence-associated genes in rheumatoid arthritis: Identification and functional analysis. by You Ao, Qing Lan, Tianhua Yu, Zhichao Wang, Jing Zhang

“…In our study, we analyzed RA microarray data from the Gene Expression Omnibus (GEO) and focused on cellular senescence genes from the CellAge database. …”
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Exploring the role of ferroptosis in pemphigus: identification of diagnostic markers and regulatory mechanisms by Jing Mao, Jianping Lan, Zheyu Zhuang, Ying Chen, Ying Chen, Yushan Ou, Xinhong Su, Xueting Zeng, Fuchen Huang, Zequn Tong, Xiaoqing Lv, Xiaoqing Lv, Xiaoqing Lv, Hui Ke, Zhenlan Wu, Ying Zou, Bo Cheng, Bo Cheng, Bo Cheng, Chao Ji, Chao Ji, Chao Ji, Ting Gong

“…Additionally, we processed the GSE53873 microarray dataset, which includes 19 pemphigus samples and 5 controls. …”
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MicroRNA biomarkers of type 2 diabetes: A protocol for corroborating evidence by computational genomics and meta-analyses. by Hongmei Zhu, Siu-Wai Leung

“…Biologically relevant microRNAs will then be selected through genomic database corroboration. Their association with T2D is further measured by area under the curve (AUC) of receive operating characteristic (ROC). …”
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