Effective detection of 148 cases chromosomal mosaicism by karyotyping, chromosomal microarray analysis and QF-PCR in 32,967 prenatal diagnoses by Yi Deng, Lan Zeng, Zhiling Wu, Jin Wang, Mengling Ye, Chun Chen, Ping Wei, Danni Wang, Guangming Deng, Shuyao Zhu

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Effects of oxidized phospholipids on gene expression in RAW 264.7 macrophages: a microarray study. by Daniel Koller, Hubert Hackl, Juliane Gertrude Bogner-Strauß, Albin Hermetter

“…In this study we present the effects of 1-palmitoyl-2-glutaroyl-sn-glycero-3-phosphocholine (PGPC) and 1-palmitoyl-2-(5-oxovaleroyl)-sn-glycero-3-phosphocholine (POVPC) on gene expression in RAW 264.7 macrophages using cDNA microarrays. …”
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Microarray analysis of the effects of Acthar Gel versus methylprednisolone in a model of focal segmental glomerulosclerosis in female rats by Kyle Hayes, Dale Wright

“…On Day 56, animals were sacrificed, and RNA samples of kidney cortex tissue were analyzed using microarrays. Compared with control, Acthar significantly decreased the expression of more genes related to inflammation, immune function, and fibrosis than MP. …”
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Discovery and mechanism of anti-hypertensive effect of a novel tripeptide (SYP) from medicinal fungus Ganoderma lingzhi by Qiang Wu, Feijun Luo, Jia Huang, Ping Huang, Yongnan Liu, Xiaoling Wang, Gaoqiang Liu

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Gene expression analysis of ABC transporter family in breast tumors: relationship with chemotherapy effect and disease prognosis by M. M. Tsyganov, M. K. Ibragimova, A. M. Pevzner, K. A. Gaptulbarova, E. Yu. Garbukov, Е. М. Slonimskaya, E. A. Usynin, N. V. Litviakov

“…RNA was isolated from paired samples of tumor tissue before and after NAC. A microarray study of all tumor samples was performed on ClariomТМ S Assay, human microarrays. …”
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A Meta‐Analysis of the Effects of Early Life Stress on the Prefrontal Cortex Transcriptome Reveals Long‐Term Downregulation of Myelin‐Related Gene Expression by Toni Q. Duan, Megan H. Hagenauer, Elizabeth I. Flandreau, Anne Bader, Duy Manh Nguyen, Pamela M. Maras, Randriely Merscher S. De Lima, Trevonn Gyles, Christabel Mclain, Michael J. Meaney, Eric J. Nestler, Stanley J. Watson Jr., Huda Akil

“…For each gene, a random‐effects meta‐analysis model was then fit to the ELS versus control effect sizes (Log2 Fold Changes) from each study. …”
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DNA isolation protocol effects on nuclear DNA analysis by microarrays, droplet digital PCR, and whole genome sequencing, and on mitochondrial DNA copy number estimation. by Elizabeth Nacheva, Katya Mokretar, Aynur Soenmez, Alan M Pittman, Colin Grace, Roberto Valli, Ayesha Ejaz, Selina Vattathil, Emanuela Maserati, Henry Houlden, Jan-Willem Taanman, Anthony H Schapira, Christos Proukakis

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Method for Printing Functional Protein Microarrays by James B. Delehanty, Frances S. Ligler

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In Vitro Investigation of Statin Effects on Genes Associated with Severe COVID-19 in Cancerous and Non-Cancerous Cells by Adriana Kapustová, Patrik Macášek, Bibiána Baďurová, Jana Melegová, Silvie Rimpelová, Jan Kubovčiak, Jana Šáchová, Miluše Hradilová, Michal Kolář, Libor Vítek, Tomáš Ruml, Helena Gbelcová

“…However, statins exhibit additional pleiotropic effects. The present study aims to investigate the effects of all eight currently existing statins on the expression of genes whose products have been reported to be directly associated with complicated COVID-19 disease. …”
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Using effective subnetworks to predict selected properties of gene networks. by Gemunu H Gunaratne, Preethi H Gunaratne, Lars Seemann, Andrei Török

“…Steady state measurements of these influence networks can be obtained from DNA microarray experiments. However, since they contain a large number of nodes, the computation of influence networks requires a prohibitively large set of microarray experiments. …”
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Fabrication of DNA Microarrays Using Unmodified Oligonucleotide Probes by Douglas Ruben Call, Darrell P. Chandler, Fred Brockman

“…Our method provides a cost-effective alternative to conventional attachment strategies that is particularly suitable for genotyping PCR products with nucleic acid microarrays.…”
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Fast Spot Locating for Low-Density DNA Microarray by MinGin Kim, Jongwon Kim, Sun-Hee Kim, Jong-Dae Kim

“…Low-density DNA microarrays are crucial in molecular diagnostics due to their cost-effectiveness and high sensitivity. …”
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Global effects of DNA replication and DNA replication origin activity on eukaryotic gene expression by Larsson Omberg, Joel R Meyerson, Kayta Kobayashi, Lucy S Drury, John F X Diffley, Orly Alter

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Cost-effective solutions for high-throughput enzymatic DNA methylation sequencing. by Amy Longtin, Marina M Watowich, Baptiste Sadoughi, Rachel M Petersen, Sarah F Brosnan, Kenneth Buetow, Qiuyin Cai, Cayo Biobank Research Unit, Michael D Gurven, James P Higham, Heather M Highland, Yi-Ting Huang, Hillard Kaplan, Thomas S Kraft, Yvonne A L Lim, Jirong Long, Amanda D Melin, Michael J Montague, Jamie Roberson, Kee Seong Ng, Michael L Platt, India A Schneider-Crease, Jonathan Stieglitz, Benjamin C Trumble, Vivek V Venkataraman, Ian J Wallace, Jie Wu, Noah Snyder-Mackler, Angela Jones, Alexander G Bick, Amanda J Lea

“…While costs are decreasing, whole-genome DNA methylation profiling remains prohibitively expensive for most population-scale studies, creating a need for cost-effective, reduced representation approaches (i.e., assays that rely on microarrays, enzyme digests, or sequence capture to target a subset of the genome). …”
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Phenotype microarray-based assessment of metabolic variability in plant protoplasts by Alice Checcucci, Francesca Decorosi, Giulia Alfreducci, Roberto Natale, Agnese Bellabarba, Stefano Biricolti, Donatella Paffetti, Alessio Mengoni, Carlo Viti

“…Conclusions The standardized high-throughput system developed was effective for the metabolic characterization of plant protoplasts. …”
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Inflammatory Pathways in Parkinson’s Disease; A BNE Microarray Study by Pascal. F. Durrenberger, Edna Grünblatt, Francesca S. Fernando, Camelia Maria Monoranu, Jordan Evans, Peter Riederer, Richard Reynolds, David T. Dexter

“…The main focus of PD research is to better understand substantia nigra homeostasis disruption, particularly in relation to the wide-spread deposition of the aberrant protein α-synuclein. Microarray technology contributed towards PD research with several studies to date and one gene, ALDH1A1 (Aldehyde dehydrogenase 1 family, member A1), consistently reappeared across studies including the present study, highlighting dopamine (DA) metabolism dysfunction resulting in oxidative stress and most probably leading to neuronal cell death. …”
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Implementation of NGS and SNP microarrays in routine forensic practice: opportunities and barriers by Sharlize Pedroza Matute, Sasitaran Iyavoo

“…NGS enables STR sequencing and SNP typing with enhanced discriminatory power, better performance with degraded DNA, and improved mixture deconvolution. Conversely, SNP microarrays offer a cost-effective solution for extended kinship testing, Forensic Investigative Genetic Genealogy (FIGG), and phenotypic prediction, though they are less effective with low-quality samples and DNA mixtures. …”
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Optimization based tumor classification from microarray gene expression data. by Onur Dagliyan, Fadime Uney-Yuksektepe, I Halil Kavakli, Metin Turkay

“…<h4>Background</h4>An important use of data obtained from microarray measurements is the classification of tumor types with respect to genes that are either up or down regulated in specific cancer types. …”
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Microarray integrated spatial transcriptomics (MIST) for affordable and robust digital pathology by Juwayria, Priyansh Shrivastava, Kaustar Yadav, Sourabh Das, Shubham Mittal, Sunil Kumar, Deepali Jain, Prabhat Singh Malik, Ishaan Gupta

“…To address these issues, we propose Microarray Integrated Spatial Transcriptomics (MIST), combining conventional tissue microarray (TMA) with Visium, using laser-cutting and 3D printing to enhance slide throughput. …”
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A review of independent component analysis application to microarray gene expression data by Wei Kong, Charles R. Vanderburg, Hiromi Gunshin, Jack T. Rogers, Xudong Huang

“…Independent component analysis (ICA) methods have received growing attention as effective data-mining tools for microarray gene expression data. …”
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