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

“…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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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

“…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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Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. by Enrico Glaab, Jaume Bacardit, Jonathan M Garibaldi, Natalio Krasnogor

“…A comparison with other benchmark microarray sample classifiers based on three diverse feature selection algorithms suggests that these evolutionary learning techniques can compete with state-of-the-art methods like support vector machines. …”
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Evaluation of gene expression classification studies: factors associated with classification performance. by Putri W Novianti, Kit C B Roes, Marinus J C Eijkemans

“…The MAQC II study on cancer classification problems has found that performance was affected by factors such as the classification algorithm, cross validation method, number of genes, and gene selection method. In this paper, we study the hypothesis that the disease under study significantly determines which method is optimal, and that additionally sample size, class imbalance, type of medical question (diagnostic, prognostic or treatment response), and microarray platform are potentially influential. …”
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Bioinformatics meets machine learning: identifying circulating biomarkers for vitiligo across blood and tissues by Qiyu Wang, Jingwei Yuan, Jingwei Yuan, Mengdi Zhang, Haiyan Jia, Hongjie Lu, Yan Wu

“…The merged microarray data were then used for WGCNA to identify modules of features genes. …”
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A RNA-Seq Analysis of the Rat Supraoptic Nucleus Transcriptome: Effects of Salt Loading on Gene Expression. by Kory R Johnson, C C T Hindmarch, Yasmmyn D Salinas, YiJun Shi, Michael Greenwood, See Ziau Hoe, David Murphy, Harold Gainer

“…In addition, we compare the SON transcriptomes resolved by RNA-Seq methods with the SON transcriptomes determined by Affymetrix microarray methods in rats under the same osmotic conditions, and find that there are 6,466 genes present in the SON that are represented in both data sets, although 1,040 of the expressed genes were found only in the microarray data, and 2,762 of the expressed genes are selectively found in the RNA-Seq data and not the microarray data. …”
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Machine learning reveals CAT gene as a novel potential diagnostic and prognostic biomarker in non-small cell lung cancer by Yi Tian, Wen-ya Zhao, Yi-ru Liu, Wen-wen Song, Qiao-xin Lin, Yan-na Gong, Yi-ting Deng, Dian-na Gu, Ling Tian

“…Furthermore, immunohistochemical staining was performed in an independent cohort from a tissue microarray. Additionally, cell culture and RT-qPCR were employed for external validation. …”
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Highly immunoreactive IgG antibodies directed against a set of twenty human proteins in the sera of patients with amyotrophic lateral sclerosis identified by protein array. by Caroline May, Eckhard Nordhoff, Swaantje Casjens, Michael Turewicz, Martin Eisenacher, Ralf Gold, Thomas Brüning, Beate Pesch, Christian Stephan, Dirk Woitalla, Botond Penke, Tamás Janáky, Dezső Virók, László Siklós, Jozsef I Engelhardt, Helmut E Meyer

“…These results led us to perform a case-control study using human protein microarrays to identify the antibody profiles of serum samples from 20 ALS patients and 20 healthy controls. …”
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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

“…Methods Firstly, the expression profiles of m6A-modified circRNA in left ventricular tissue of the CIH mouse model were examined using circRNA microarray analysis. Then, the expression level of selected circrRNA was compared by folding change filtration, and the consistency between them and microarray results was verified by MeRIP-qPCR. …”
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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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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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MicroRNA profiling in human colon cancer cells during 5-fluorouracil-induced autophagy. by Ni Hou, Jia Han, Jie Li, Yingxun Liu, Yannan Qin, Lei Ni, Tusheng Song, Chen Huang

“…The physiological importance of the miRNA-autophagy interconnection is only beginning to be elucidated. MiRNA microarray technology facilitates analysis of global miRNA expression in certain situations. …”
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Aberrant expression of shared master-key genes contributes to the immunopathogenesis in patients with juvenile spondyloarthritis. by Lovro Lamot, Fran Borovecki, Lana Tambic Bukovac, Mandica Vidovic, Marija Perica, Kristina Gotovac, Miroslav Harjacek

“…Microarray results and bioinformatical analysis revealed 745 differentially expressed genes involved in various inflammatory processes, while qRT-PCR analysis of selected genes confirmed data universality and specificity of expression profiles in jSpA patients. …”
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Differentially expressed circular RNAs and their diagnostic value in children with allergic rhinitis by Yuhao Fan, Yilin Li, Miaomiao Xu, Liya Ren, Yong Li, Jing Li

“…Methods Blood samples were collected from allergic rhinitis patients and healthy controls, and circular RNA microarray was performed. The expression of differentially expressed circular RNAs was verified via real-time quantitative reverse transcription polymerase chain reaction, and these RNAs were selected for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. …”
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Regulation of neutrophil senescence by microRNAs. by Jon R Ward, Paul R Heath, James W Catto, Moira K B Whyte, Marta Milo, Stephen A Renshaw

“…Total RNA from highly purified neutrophils was prepared and subjected to microarray analysis using the Agilent human miRNA microarray V3. …”
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A high-content small molecule screen identifies sensitivity of glioblastoma stem cells to inhibition of polo-like kinase 1. by Davide Danovi, Amos Folarin, Sabine Gogolok, Christine Ender, Ahmed M O Elbatsh, Pär G Engström, Stefan H Stricker, Sladjana Gagrica, Ana Georgian, Ding Yu, Kin Pong U, Kevin J Harvey, Patrizia Ferretti, Patrick J Paddison, Jane E Preston, N Joan Abbott, Paul Bertone, Austin Smith, Steven M Pollard

“…We used live-cell imaging and high content image analysis tools and identified JNJ-10198409 (J101) as an agent that induces mitotic arrest at prometaphase in GNS cells but not NS cells. Antibody microarrays and kinase profiling suggested that J101 responses are triggered by suppression of the active phosphorylated form of polo-like kinase 1 (Plk1) (phospho T210), with resultant spindle defects and arrest at prometaphase. …”
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Identification of G1-regulated genes in normally cycling human cells. by Maroun J Beyrouthy, Karen E Alexander, Amy Baldwin, Michael L Whitfield, Hank W Bass, Dan McGee, Myra M Hurt

“…<h4>Methodology and findings</h4>We used a robotic mitotic shake-off apparatus to select cells in late mitosis for genome-wide gene expression studies. …”
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