Gene network inference and biochemical assessment delineates GPCR pathways and CREB targets in small intestinal neuroendocrine neoplasia. by Ignat Drozdov, Bernhard Svejda, Bjorn I Gustafsson, Shrikant Mane, Roswitha Pfragner, Mark Kidd, Irvin M Modlin

“…High throughput techniques such as inference of gene regulatory networks from microarray experiments can objectively define signaling machinery in this disease. …”
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Combined Use of Gene Expression Modeling and siRNA Screening Identifies Genes and Pathways Which Enhance the Activity of Cisplatin When Added at No Effect Levels to Non-Small Cell... by Ada W Y Leung, Stacy S Hung, Ian Backstrom, Daniel Ricaurte, Brian Kwok, Steven Poon, Steven McKinney, Romulo Segovia, Jenna Rawji, Mohammed A Qadir, Samuel Aparicio, Peter C Stirling, Christian Steidl, Marcel B Bally

“…Being exposed to sub-lethal doses will induce changes in gene expression that contribute to the tumour cell's ability to survive and eventually contribute to the selective pressures leading to cisplatin resistance. …”
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Nanopore-based random genomic sampling for intraoperative molecular diagnosis by Francesco E. Emiliani, Abdol Aziz Ould Ismail, Edward G. Hughes, Gregory J. Tsongalis, George J. Zanazzi, Chun-Chieh Lin

“…Results In our retrospective cohort of 26 malignant brain tumors, iSCORED demonstrated 100% concordance in CNV detection, including chromosomal alterations and oncogene amplifications, when compared to clinically validated assays such as Next-Generation Sequencing and Chromosomal Microarray. …”
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Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data by Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Harshith Guduru, Mohanad Mohammed

“…The proposed approach combines differential gene expression with DESeq2, Linear Models for Microarray (LIMMA), and Least Absolute Shrinkage and Selection Operator (LASSO) regression to reduce multi-omics data dimensionality while preserving relevant biological features. …”
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MOLECULAR AND GENETIC INSIGHTS OF ROOT-KNOT NEMATODES PATHOGENICITY: A REVIEW by Prabina Bhandari, Anjali Thapa, Anusha Ghimire, Sunil Ojha, Srijana Saud, Sanju Aryal

“…Protein analysis and molecular databases help identify down-regulated and up-regulated genes. Microarray technology can provide large-scale gene expression data on plant-nematode interaction, aiding in understanding nematode selection and feeding site alteration, thereby identifying genes controlling cell differentiation and division. …”
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Analytic approaches to clinical validation of results from preclinical models of glioblastoma: A systematic review. by Beth Fitt, Grace Loy, Edward Christopher, Paul M Brennan, Michael Tin Chung Poon

“…In 14 studies published between 2017 and 2020 using TCGA RNA microarray data that should have the same cohort, the median number of patients was 464.5 (interquartile range 220.5-525). …”
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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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Comparative linkage meta-analysis reveals regionally-distinct, disparate genetic architectures: application to bipolar disorder and schizophrenia. by Brady Tang, Tricia Thornton-Wells, Kathleen D Askland

“…Since it is likely a majority of common variants of modest effect have been identified through the application of tagSNP-based microarray platforms (i.e., GWAS), alternative approaches robust to detection of low-frequency (1-5% MAF) and rare (<1%) variants are of great importance. …”
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Concave Magnetic-Responsive Hydrogel Discs for Enhanced Bioassays by Amin Ghaffarzadeh Bakhshayesh, Huiyan Li

“…This approach enables immediate preparation and customization of hydrogel properties such as porosity, magnetic responsiveness, and embedded particles and is adaptable for use with microarray printers. The concave design increased the surface area by 43% compared to conventional hemispherical hydrogels, enhancing diffusion rates and accelerating reactions. …”
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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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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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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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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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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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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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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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Noninvasive prediction of fetal growth restriction using maternal plasma cell-free RNA: a case-control study by Yihong Huang, Ruizhi Wang, Lixia Shen, Lingyi Kong, Peisong Chen, Zilian Wang, Zhuyu Li

“…The least absolute shrinkage and selection operator regression was used to select the hub genes from the cell-free RNA DEGs. …”
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