Apoptosis-associated genetic mechanisms in the transition from rheumatoid arthritis to osteoporosis: A bioinformatics and functional analysis approach by Hao-Ju Lo, Chun-Hao Tsai, Tsan-Wen Huang

“…This study explores the mechanisms of glucocorticoid-induced osteoporosis (OP) and Rheumatoid arthritis (RA), focusing on apoptosis and its role in the progression from RA to OP. Using microarray data from the GEO database, differential gene expression analysis was conducted with the limma package, identifying significant genes in RA and OP. …”
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SMART: unique splitting-while-merging framework for gene clustering. by Rui Fa, David J Roberts, Asoke K Nandi

“…Moreover, two real microarray gene expression datasets are studied using this approach. …”
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Diagnosis of Coronary Heart Diseases Using Gene Expression Profiling; Stable Coronary Artery Disease, Cardiac Ischemia with and without Myocardial Necrosis. by Nabila Kazmi, Tom R Gaunt

“…Interestingly it also showed efficacy in discriminating myocardial infarction patients from patients with clinical symptoms of cardiac ischemia but no myocardial necrosis or stable coronary artery disease, despite the influence of batch effects and different microarray gene chips and platforms.…”
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Over-expression of either MECP2_e1 or MECP2_e2 in neuronally differentiated cells results in different patterns of gene expression. by Marija Orlic-Milacic, Liana Kaufman, Anna Mikhailov, Aaron Y L Cheung, Huda Mahmood, James Ellis, Peter J Gianakopoulos, Berge A Minassian, John B Vincent

“…DOCK8 was shown via microarray and qRT-PCR to be upregulated in both SK-N-SH cells and mouse fibroblasts. …”
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Genome-wide analysis of m6A-modified circRNAs in the mouse model of myocardial injury induced by obstructive sleep apnea by Jiuhuang Lan, Yuhui Wang, Chang Liu, Hongli Chen, Qingshi Chen

“…The results of MeRIP-qPCR were consistent with the microarray results. 73 pathways were detected in the up-regulated transcripts and no relevant pathways were detected in the down-regulated transcripts. …”
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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

“…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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Concave Magnetic-Responsive Hydrogel Discs for Enhanced Bioassays by Amin Ghaffarzadeh Bakhshayesh, Huiyan Li

“…This approach enables immediate preparation and customization of hydrogel properties such as porosity, magnetic responsiveness, and embedded particles and is adaptable for use with microarray printers. The concave design increased the surface area by 43% compared to conventional hemispherical hydrogels, enhancing diffusion rates and accelerating reactions. …”
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Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data by Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Harshith Guduru, Mohanad Mohammed

“…The proposed approach combines differential gene expression with DESeq2, Linear Models for Microarray (LIMMA), and Least Absolute Shrinkage and Selection Operator (LASSO) regression to reduce multi-omics data dimensionality while preserving relevant biological features. …”
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MOLECULAR AND GENETIC INSIGHTS OF ROOT-KNOT NEMATODES PATHOGENICITY: A REVIEW by Prabina Bhandari, Anjali Thapa, Anusha Ghimire, Sunil Ojha, Srijana Saud, Sanju Aryal

“…Protein analysis and molecular databases help identify down-regulated and up-regulated genes. Microarray technology can provide large-scale gene expression data on plant-nematode interaction, aiding in understanding nematode selection and feeding site alteration, thereby identifying genes controlling cell differentiation and division. …”
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Analytic approaches to clinical validation of results from preclinical models of glioblastoma: A systematic review. by Beth Fitt, Grace Loy, Edward Christopher, Paul M Brennan, Michael Tin Chung Poon

“…In 14 studies published between 2017 and 2020 using TCGA RNA microarray data that should have the same cohort, the median number of patients was 464.5 (interquartile range 220.5-525). …”
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Hypoxia-Induced miR-210 Promotes Endothelial Cell Permeability and Angiogenesis via Exosomes in Pancreatic Ductal Adenocarcinoma by Guo Wu, Xiaojie Ding, Gang Quan, Jianwei Xiong, Qiang Li, Zhonghu Li, Yaqin Wang

“…The aim of this article was to identify and investigate abnormally expressed miRNAs in PDAC exosomes in vivo and in vitro. Methods. Microarray studies were used to detect aberrantly expressed miRNAs in PDAC exosomes, and miR-210 expression in cells or exosomes was further analyzed by qRT-PCR. …”
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RNA-Seq profiling reveals novel hepatic gene expression pattern in aflatoxin B1 treated rats. by B Alex Merrick, Dhiral P Phadke, Scott S Auerbach, Deepak Mav, Suzy M Stiegelmeyer, Ruchir R Shah, Raymond R Tice

“…PCA and cluster analysis of DEGs showed clear separation between AFB1 and CTRL treatments and concordance among group replicates. qPCR of eight high and medium DEGs and three low DEGs showed good comparability among RNA-Seq and microarray transcripts. DESeq analysis identified 1,026 differentially expressed transcripts at greater than two-fold change (p<0.005) compared to 626 transcripts by microarray due to base pair resolution of transcripts by RNA-Seq, probe placement within transcripts or an absence of probes to detect novel transcripts, splice variants and exons. …”
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Genetic test results and one-year developmental outcomes of fetuses with congenital heart disease by Hui Hu, Bo Zhou, Qunda Shan, Shuangshuang Shen, Xiangdong Zhang, Penglong Chen, Jiao Liu, Xiaofang Lan

“…The detection rate of CNV was significantly lower in fetuses with isolated cardiac abnormalities (P &lt; 0.05). …”
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Characterization of a MERS-related betacoronavirus in Danish brown long-eared bats (Plecotus auritus) by Camille Melissa Johnston, Vithiagaran Gunalan, Hans J. Baagøe, Anna S. Fomsgaard, Charlotta Polacek, Morten Rasmussen, Louise Lohse, Thomas Bruun Rasmussen

“…Positive samples underwent ORF1b sequencing, microarray analysis and Illumina MiSeq sequencing, followed by metagenomic assembly of full-length genomes. …”
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Exploration of the shared pathways and common biomarkers in cervical and ovarian cancer using integrated bioinformatics analysis by Fang Liu, Min Wang, Tian Zhu, Cong Xu, Guangming Wang

“…Results After crossing the common DEGs detected by "Limma" R package with the common module genes identified by WGCNA, 44 shared genes were obtained. …”
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Cysteine‐rich intestinal protein 1 enhances the progression of hepatocellular carcinoma via Ras signaling by Hong‐Yu He, Li Hu

“…Receiver operating characteristic analysis showed that compared with a single marker, the combined detection of alpha‐fetoprotein, carcinoembryonic antigen, and CRIP1 had the highest accuracy, sensitivity, and specificity. …”
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Directional genomic hybridization (dGH™) identifies small inverted duplications in situ by Thomas Liehr, Erin Cross, Stefanie Kankel

“…This technique may be used to identify the presence of small inversions within regions presenting a copy number gain as detected by chromosome microarray. Distinguishing small inverted duplications from direct duplications may have an impact on topologically associating domains (TADs) and, thus, on clinical outcome.…”
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Identification of Potential Biomarkers of Septic Shock Based on Pathway and Transcriptome Analyses of Immune-Related Genes by Jie Wang, Jie Cai, Linlin Yue, Xixi Zhou, Chunlin Hu, Hongquan Zhu

“…Our aim was to explore potential biomarkers for SS by pathway and transcriptional analyses of immune-related genes to improve early detection. GSE57065 and GSE95233 microarray data were used to screen differentially expressed genes (DEGs) in SS. …”
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Shannon entropy approach reveals relevant genes in Alzheimer's disease. by Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Eufemia Lella, Angela Lombardi, Anna Monda, Andrea Tateo, Roberto Bellotti, Sabina Tangaro

“…Since complex diseases are often the result of combinations of gene interactions, microarray data and gene co-expression analysis can provide tools for addressing complexity. …”
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c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's disease. by Sherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi

“…We trained the model with blood genotyping data, microarray, and clinical features from the Alzheimer's Neuroimaging Disease Initiative (ADNI). …”
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