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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An Ensemble Classification Method for High-Dimensional Data Using Neighborhood Rough Set by Jing Zhang, Guang Lu, Jiaquan Li, Chuanwen Li

“…Mining useful knowledge from high-dimensional data is a hot research topic. Efficient and effective sample classification and feature selection are challenging tasks due to high dimensionality and small sample size of microarray data. …”
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The absolute number of T lymphocyte subsets is beneficial for differential diagnosis of myelodysplastic syndrome with pure red cell aplastic anemia: a case report and review of the... by Liangjun Zhang, Huixiu Zhong

“…The result of the morphological examination of bone marrow, whole-genome microarray, and bone marrow biopsy all supported the diagnosis of MDS at the first clinical diagnosis. …”
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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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CFS-MOES Ensemble Model on Metaheuristic Search-Based Feature Selection by Santosini Bhutia, Bichitrananda Patra, Mitrabinda Ray

“…Due to the availability of highly specialized cancer datasets, molecular classification of cancer by gene expression, machine learning, and deep learning, a part of artificial intelligence (AI) techniques is used in detecting the disease. The application of several classification and feature selection methods on microarray gene expression datasets helps learn models that are able to predict a given disease. …”
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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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Berberine Improves Inflammatory Responses of Diabetes Mellitus in Zucker Diabetic Fatty Rats and Insulin-Resistant HepG2 Cells through the PPM1B Pathway by Yang Sheng Wu, Zhe Ming Li, Yi Tao Chen, Shi Jie Dai, Xiao Jie Zhou, Yuan Xiao Yang, Jian Shu Lou, Li Ting Ji, Yu Ting Bao, Ling Xuan, Lu Ning Lin, Chang Yu Li

“…Microarray analysis of liver tissues was performed, and differentially expressed gene (DEG) levels were examined by quantitative real-time PCR (qPCR) and Western blot. …”
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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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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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An enhanced single base extension technique for the analysis of complex viral populations. by Dale R Webster, Armin G Hekele, Adam S Lauring, Kael F Fischer, Hao Li, Raul Andino, Joseph L DeRisi

“…This single base extension (SBE) based microarray platform was designed and optimized using poliovirus as the target genotype, but can be easily adapted to assay populations derived from any organism. …”
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HIF-1 inhibition reverses opacity in a rat model of galactose-induced cataract. by Masaru Takashima, Masaya Nagaya, Yoshihiro Takamura, Masaru Inatani, Masaya Oki

“…The detailed mechanism of cataract development has not been characterized, and effective drug therapies remain unavailable. Here, we investigated the effects of Hypoxia-inducible factor 1 (HIF-1) inhibitors using an ex vivo model, in which rat lenses were cultured in galactose-containing medium to induce opacity formation. …”
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Discovering structural cis‐regulatory elements by modeling the behaviors of mRNAs by Barrett C Foat, Gary D Stormo

“…We applied our structural cis‐regulatory element detector (StructRED) to microarray and mRNA sequence data from Saccharomyces cerevisiae, Drosophila melanogaster, and Homo sapiens. …”
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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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Genetic Analysis of 17q Terminal Partial Trisomy by Huiling Zheng, Lin Zheng, Zhi Huang, Guangping Li, Daili Tang, Xue Yang, Tian Tian

“…We performed G‐banding karyotype and chromosomal microarray analyses. The child in Family 1 had a 31.3 Mb mosaic duplication on chromosome 17. …”
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Clinical experience of genome-wide non-invasive prenatal testing as a first-tier screening test in a cohort of 59,771 pregnancies. by Jianxin Zhen, Liting Zhang, Huilin Wang, Xi Chen, Weihong Wang, Lili Li, Quanfu Zhang

“…Here, we evaluated the clinical performance of GW-NIPT as a first-tier screening test for detecting fetal aneuploidy and copy number variation (CNV).…”
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Homozygous Microdeletion Involving Exon 1 of ERCC8 and NDUFAF2 With Uniparental Isodisomy of Chromosome 5 by Kaori Yamoto, Kosuke Yamada, Kenji Shimizu, Sachiko Miyamoto, Mitsuko Nakashima, Hirotomo Saitsu

“…Methods We performed chromosomal microarray analysis, exome sequencing (ES), and RNA sequencing (RNA‐seq) using the patient's urine‐derived cells on a patient with growth retardation and multiple congenital anomalies. …”
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Molecular profiles of HCV cirrhotic tissues derived in a panel of markers with clinical utility for hepatocellular carcinoma surveillance. by Ricardo C Gehrau, Kellie J Archer, Valeria R Mas, Daniel G Maluf

“…<h4>Background</h4>Early hepatocellular carcinoma (HCC) detection is difficult because low accuracy of surveillance tests. …”
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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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