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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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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On-Chip DNA Assembly via Dielectrophoresis by Xichuan Rui, Lin-Sheng Wu, Xin Zhao

“…This work introduces a novel on-chip DNA assembly method via dielectrophoresis (DEP) that can potentially be integrated with microarray-based oligo synthesis on the same chip. Our DEP chip can selectively manipulate oligos and guide their movement without perturbing the surrounding fluid medium, thus aiding in DNA assembly. …”
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SLEPR: a sample-level enrichment-based pathway ranking method -- seeking biological themes through pathway-level consistency. by Ming Yi, Robert M Stephens

“…Analysis of microarray and other high throughput data often involves identification of genes consistently up or down-regulated across samples as the first step in extraction of biological meaning. …”
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Study on the mechanisms and functions of lncRNAs in regulating carboplatin resistance in ovarian cancer cells by HONG Yi, CHEN Cuilan, YIN Fuqiang, LIU Xia

“…Based on expression profiling microarrays and RT-qPCR validation, lncRNA DAPK1-IT1, which was significantly down-regulated by more than 4-fold in both two carboplatin-resistant cell lines, was selected for functional verification. …”
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Translational profiling reveals novel gene expression changes in the direct and indirect pathways in a mouse model of levodopa induced dyskinesia by Sabika Jafri, Mahdi Ghani, Natalie Stickle, Carl Virtanen, Lili-Naz Hazrati, Naomi P. Visanji, Naomi P. Visanji, Naomi P. Visanji

“…Extracted ribosomal RNA was amplified, purified, and gene expression was quantified using microarray.ResultsOne hundred ninety-five significantly varying transcripts were identified among the four treatment groups. …”
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Elevated glucose represses lysosomal and mTOR-related genes in renal epithelial cells composed of progenitor CD133+ cells. by Swojani Shrestha, Sandeep Singhal, Donald A Sens, Seema Somji, Bethany A Davis, Rachel Guyer, Spencer Breen, Matthew Kalonick, Scott H Garrett

“…The results validated the microarray analysis, which showed a significant decrease in the mRNA as well as protein expression of the selected genes as the concentration of glucose increased. …”
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Prediction of gene expression in embryonic structures of Drosophila melanogaster. by Anastasia A Samsonova, Mahesan Niranjan, Steven Russell, Alvis Brazma

“…The use of high-throughput approaches, such as large-scale in situ hybridisation and genome-wide expression profiling via DNA microarrays, is beginning to provide insights into the complexities of development. …”
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miR-4780 Derived from N2-Like Neutrophil Exosome Aggravates Epithelial-Mesenchymal Transition and Angiogenesis in Colorectal Cancer by Liang Wang, Yuqiang Shan, Sixin Zheng, Jiangtao Li, Peng Cui

“…Differentially expressed miRNA in neutrophil exosomes have been sequenced by microarray profile, and the effect of N2-like neutrophil-derived exosomal miR-4780 on epithelial-mesenchymal transition (EMT) and angiogenesis was investigated. …”
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Enhancing Binary Classification Performance in Biomedical Datasets: Regularized ELM with SMOTE and Quantile Transforms Focused on Breast Cancer Analysis by Brilliant Friezka Aina, Meta Kallista, Ig. Prasetya Dwi Wibawa, Ginaldi Ari Nugroho, Ivana Meiska, Syifa Melinda Naf’an

“…Using microarray datasets, this research investigation addresses the problem of unbalanced data in binary classification tasks. …”
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DNA Methylation Profiles of Blood Cells Are Distinct between Early-Onset Obese and Control Individuals by Je-Keun Rhee, Jin-Hee Lee, Hae Kyung Yang, Tae-Min Kim, Kun-Ho Yoon

“…Here, we performed microarray-based DNA methylation and gene expression profiling of peripheral white blood cells obtained from six young, obese individuals and six healthy controls. …”
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Fetal medicine and current practice of prenatal screening by Akshatha Prabhu

“…The fetal sample is used for various genetic tests, such as chromosome microarray analysis (CMA), targeted clinical exome sequencing (CES), or whole exome sequencing (WES) depending upon the abnormality noted or the suspected genetic condition. …”
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Antibiotic resistance in agroecosystem: Progress and challenges by ZHANG Yusen, YE Jun, SU Jianqiang

“…Both culture-dependent and culture-independent technologies, including metagenomic, microarray and high-throughput quantitative polymerase chain reaction have been utilized in the characterization of ARGs in agroecosystem, and each has its strength and weakness. …”
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Identification of MEG3 and MAPK3 as potential therapeutic targets for osteoarthritis through multiomics integration and machine learning by Bing Ma, Xiaoru Wang, Chengfei Xu, Zelin Xu, Fei Zhang, Wendan Cheng

“…Subsequently, differential expression analysis and WGCNA were applied to synovial tissue microarray datasets obtained from the GEO database. …”
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Type-2 diabetes epigenetic biomarkers: present status and future directions for global and Indigenous health by Sarah Munns, Sarah Munns, Alex Brown, Alex Brown, Sam Buckberry, Sam Buckberry

“…Recent advances in epigenomics methods, particularly in DNA methylation detection, have enabled the discovery of associations between epigenetic changes and Type-2 diabetes. …”
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