Androgen Modulates Functions of Endothelial Progenitor Cells through Activated Egr1 Signaling by Yizhou Ye, Xizhe Li, You Zhang, Zhenya Shen, Junjie Yang

“…We found that DHT treatment enhanced the incorporation of EPCs into tubular structures formed by HUVECs and the migratory activity of EPCs in the transwell assay dose dependently. Moreover, microarray analysis was performed to explore how DHT changes the gene expression profiles of EPCs. …”
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Identification and analysis of neutrophil extracellular trap-related genes in periodontitis via bioinformatics and experimental verification by Miao Yu, Zhenqi Ye, Zixin Ye, Yaping Wu, Xiang Wu

“…This study intends to investigate the comprehensive effects of NET-related genes (NRGs) on periodontitis by bioinformatic analysis. Methods The microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. …”
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A very rare case of a newborn with tetrasomy 9p and literature review by Merve Süleyman, Sümeyra Oğuz, Gözdem Kaykı, Hasan Tolga Çelik, Pelin Özlem Şimsek-Kiper, Gülen Eda Utine, Şule Yiğit

“…Bilateral ventriculomegaly, vermian hypoplasia and corpus callosum agenesis were detected on magnetic resonance imaging and double outlet right ventricle (tetralogy of Fallot type), secundum atrial septal defect, and persistent left superior vena cava were displayed by echocardiography. Microarray analysis revealed 38,584 kb tetrasomic region at 9p24.3p13.1. …”
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A framework for the establishment of a cnidarian gene regulatory network for "endomesoderm" specification: the inputs of ß-catenin/TCF signaling. by Eric Röttinger, Paul Dahlin, Mark Q Martindale

“…We have begun to establish the framework of a provisional cnidarian "endomesodermal" gene regulatory network in the sea anemone, Nematostella vectensis, by using a genome-wide microarray analysis on embryos in which the canonical Wnt/ß-catenin pathway was ectopically targeted for activation by two distinct pharmaceutical agents (lithium chloride and 1-azakenpaullone) to identify potential targets of endomesoderm specification. …”
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Adaptation by stochastic switching of a monostable genetic circuit in Escherichia coli by Saburo Tsuru, Nao Yasuda, Yoshie Murakami, Junya Ushioda, Akiko Kashiwagi, Shingo Suzuki, Kotaro Mori, Bei‐Wen Ying, Tetsuya Yomo

“…Directionality and fate decision were in part dependent on the initial cellular status. Finally, microarray analysis indicated that OSU12‐hisC reorganized its transcriptome to reach the appropriate physiological state upon starvation. …”
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Upregulated Acute Systemic Inflammation-Related Genes based on Endotoxin Exposure Provide “Survival Benefit” or Create “High Risk of Death” in Leukaemia and Colon Cancer by Gizem Ayna Duran

“…Using the R “Linear Models for Microarray Data” package, differentially expressed gene analyses were conducted to determine genes that differ between healthy and bacterial endotoxin-administered samples. …”
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The Role of Multigene Assays Adjuvant Treatment Decision for Early-Stage Breast Cancer by Cornelia NITIPIR, Andreea PAROSANU, Ana-Maria POPA, Cristian IACIU, Anca PANTEA-STOIAN, Valentin CALU, Cristina ORLOV-SLAVU

“…The Food and Drug Administration (FDA) validated the use of the following tests: OncotypeDX (a 21 gene test), Mammaprint (70 ARN messenger genes), Predictor Analysis of Microarray 50-PAM50 (50 genes) also known as Prosigna and Endopredict (12 genes). …”
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Activated TLR signaling in atherosclerosis among women with lower Framingham risk score: the multi-ethnic study of atherosclerosis. by Chiang-Ching Huang, Kiang Liu, Richard M Pope, Pan Du, Simon Lin, Nalini M Rajamannan, Qi-Quan Huang, Nadereh Jafari, Gregory L Burke, Wendy Post, Karol E Watson, Craig Johnson, Martha L Daviglus, Donald M Lloyd-Jones

“…<h4>Results</h4>A case-control study was performed using microarray gene expression profiling of peripheral blood from 119 healthy women in the Multi-Ethnic Study of Atherosclerosis cohort aged 50 or above. …”
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Genome and transcriptome analysis of the basidiomycetous yeast Pseudozyma antarctica producing extracellular glycolipids, mannosylerythritol lipids. by Tomotake Morita, Hideaki Koike, Hiroko Hagiwara, Emi Ito, Masayuki Machida, Shun Sato, Hiroshi Habe, Dai Kitamoto

“…P. antarctica genome exhibited a remarkable degree of synteny to U. maydis genome, however, the comparison of the gene expression profiles under the culture on the two carbon sources, glucose and soybean oil, by the DNA microarray method revealed that transcriptomes between the two species were significantly different. …”
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Informative value of rapid microbiological diagnostic tests and experience in studying a procalcitonin assay in the evaluation of the activity of a mycobacterial population in chil... by L. V. Panova, E. S. Ovsyankina, M. M. Averbakh, F. A. Poluektova, O. A. Piskunova

“…Drug resistance in MBT was determined by a microarray test in only 16 (23.5%) out of 68 patients for lack or paucity of DNA in the diagnostic material. …”
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Ectopic repression of receptor tyrosine kinase–like orphan receptor 2 inhibits malignant transformation of ovarian cancer cells by reversing epithelial–mesenchymal transition by Ying Xu, Yan-Hui Ma, Ying-Xin Pang, Zhe Zhao, Jing-Jing Lu, Hong-Luan Mao, Pei-Shu Liu

“…The result of the human ovary tissue microarray revealed that the receptor tyrosine kinase–like orphan receptor 2–positive rate increased in malignant epithelial ovarian cancers and was extremely higher in the metastatic tumor tissues, which was also higher than that in the malignant ovarian tumor tissues. …”
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The Neural Progenitor Cell-Associated Transcription Factor FoxG1 Regulates Cardiac Epicardial Cell Proliferation by Lucy Pilcher, Lara Solomon, Julie A. Dragon, Dhananjay Gupta, Jeffrey L. Spees

“…To obtain epicardial cells, we enzymatically digested the surfaces of whole hearts and performed magnetic-activated cell sorting (MACS) with antibodies against CD104 (integrin β4). By cDNA microarray assays, we identified genes with increased transcription in epicardial cells after running exercise; these included FoxG1, a transcription factor that controls neural progenitor cell proliferation during brain development and Snord116, a small noncoding RNA that coordinates expression of genes with epigenetic, circadian, and metabolic functions. …”
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The Transcriptional Signature of Active Tuberculosis Reflects Symptom Status in Extra-Pulmonary and Pulmonary Tuberculosis. by Simon Blankley, Christine M Graham, Jacob Turner, Matthew P R Berry, Chloe I Bloom, Zhaohui Xu, Virginia Pascual, Jacques Banchereau, Damien Chaussabel, Ronan Breen, George Santis, Derek M Blankenship, Marc Lipman, Anne O'Garra

“…<h4>Background</h4>Mycobacterium tuberculosis infection is a leading cause of infectious death worldwide. Gene-expression microarray studies profiling the blood transcriptional response of tuberculosis (TB) patients have been undertaken in order to better understand the host immune response as well as to identify potential biomarkers of disease. …”
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Thyroid Hormone-Responsive Genes in Primary Cultures of Rat Hepatic Cells by Nariaki Fujimoto, Shigeyuki Kitamura

“…To better understand the roles of thyroid hormones in the liver, it is critical to identify thyroid hormone-responsive genes at the cellular level. Methods: A cDNA microarray analysis was applied to primary cultures of rat hepatic cells treated with triiodothyronine (T3) at 10⁻⁹ M for 24 h to identify the differentially expressed genes. …”
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Cellular Tracking and Gene Profiling of Fusarium graminearum during Maize Stalk Rot Disease Development Elucidates Its Strategies in Confronting Phosphorus Limitation in the Host A... by Yan Zhang, Juan He, Lei-Jie Jia, Ting-Lu Yuan, Dong Zhang, Yan Guo, Yufeng Wang, Wei-Hua Tang

“…Using laser microdissection and microarray analysis, we profiled changes in global gene expression during pathogen growth inside pith tissues of maize stalk from 12 h to six days after inoculation and documented transcriptomic patterns that provide further insights into the infection process. …”
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Engineering glycosyltransferases into glycan binding proteins using a mammalian surface display platform by Ryoma Hombu, Lauren E. Beatty, John Tomaszewski, Sheldon Park, Sriram Neelamegham

“…Spectral flow cytometry and tissue microarray analysis using sCore2 reveal distinct cell- and tissue-specific sialyl core-2 staining patterns in human blood cells and paraffin-embedded tissue sections. …”
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Identifying the molecular association between diabetic nephropathy and hepatocellular carcinoma: an network biology approach by Tammanna R. Sahrawat, Arnesh Saxena

“…Although studies have indicated a clinical association between DN and HCC, the underlying molecular association remains unexplored; therefore, the present in-silico network biology study was conducted. Microarray datasets for DN and HCC were retrieved from the Gene Expression Omnibus and processed using Bioconductor Packages to identify differentially expressed genes (DEGs). …”
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Identification of RNA-binding protein genes associated with renal rejection and graft survival by Zhaozhong Zhong, Yongrong Ye, Liubing Xia, Ning Na

“…The aim of this study was to comprehensively analyze the expression of RPBs in renal rejection and use it to construct a robust prediction strategy for long-term graft survival. The microarray expression profiles used in this study were obtained from GEO database. …”
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Genome-Wide Analysis of PAPS1-Dependent Polyadenylation Identifies Novel Roles for Functionally Specialized Poly(A) Polymerases in Arabidopsis thaliana. by Christian Kappel, Gerda Trost, Hjördis Czesnick, Anna Ramming, Benjamin Kolbe, Son Lang Vi, Cláudia Bispo, Jörg D Becker, Cornelia de Moor, Michael Lenhard

“…When overlaying the PAPS1-dependent effects observed here with coexpression analysis based on independent microarray data, the two clusters of transcripts that are most closely coexpressed with PAPS1 show the strongest change in poly(A)-tail length and transcript abundance in paps1 mutants in our analysis. …”
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Association between a specific monocyte subset and heart failure with preserved ejection fraction in patients with uremia by Xinrui Wang, Minghui Song, Lu Ma, Yang Yang

“…Differences in the expression of differentially expressed genes in PBMCs among different groups were compared using microarray. Results: In total, 43 differentially expressed genes were specifically identified in patients with ESRD with HFpEF. …”
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