Optical genome mapping for detection of chromosomal aberrations in prenatal diagnosis by Qinxin Zhang, Yan Wang, Yiyun Xu, Ran Zhou, Mingtao Huang, Fengchang Qiao, Lulu Meng, An Liu, Jing Zhou, Li Li, Xiuqing Ji, Zhengfeng Xu, Ping Hu

“…Compared with the widely used chromosomal microarray analysis, optical genome mapping additionally determined the relative orientation and position of repetitive segments for seven cases with duplications or triplications. …”
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Subgroup analysis of imaging scans, invasive examinations and prognosis in mild-to-moderate isolated foetal cerebral ventriculomegaly: a retrospective study in China by Chun Yang, Xia Chi, Yan Wang, Cuiping Zhang, Ran Zhou, Xuemei Jia, Fengchang Qiao, Zhengfeng Xu

“…The results of foetal chromosomal microarray analysis, virological tests of umbilical cord blood or amniotic fluid, foetal magnetic resonance imaging and ultrasound were collected. …”
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Using Aptamers for Cancer Biomarker Discovery by Yun Min Chang, Michael J. Donovan, Weihong Tan

“…Aptamers can be paired with recent advances in nanotechnology, microarray, microfluidics, and other technologies for applications in clinical medicine. …”
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Exploring the diversity of Arcobacter butzleri from cattle in the UK using MLST and whole genome sequencing. by J Yvette Merga, Nicola J Williams, William G Miller, Andrew J H Leatherbarrow, Malcolm Bennett, Neil Hall, Kevin E Ashelford, Craig Winstanley

“…The completion of an A. butzleri genome sequence along with microarray analysis of 13 isolates in 2007 revealed a surprising amount of diversity amongst A. butzleri isolates from humans, animals and food. …”
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Identification of a Novel 15q21.1 Microdeletion in a Family with Marfan Syndrome by Rencong Yang, Wu Zhang, Hua Lu, Jinlong Liu, Yu Xia, Shengjie Liao, Xiaohui Li, Xiaoshen Zhang, Xiaoping Fan, Chaojie Wang

“…After whole exome sequencing (WES) and chromosomal microarray analysis (CMA) in these individuals, bioinformatics and inheritance analyses were performed. …”
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Asymptomatic Right Ventricular Hypoplasia in Twin Siblings: A Normal Variant or Cause of Early Mortality? by Amna Qasim, Soham Dasgupta, Ashraf M. Aly

“…However, the chromosome microarray analysis of the twins did not identify any variations of clinical significance.…”
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Proteomic associations with cognitive variability as measured by the Wisconsin Card Sorting Test in a healthy Thai population: A machine learning approach. by Chen Chen, Bupachad Khanthiyong, Benjamard Thaweetee-Sukjai, Sawanya Charoenlappanit, Sittiruk Roytrakul, Phrutthinun Surit, Ittipon Phoungpetchara, Samur Thanoi, Gavin P Reynolds, Sutisa Nudmamud-Thanoi

“…Differentially expressed proteins (DEPs) were identified using label-free proteomics and analyzed with the Linear Model for Microarray Data. We discovered 213 DEPs between lower and higher cognition groups, with 155 upregulated in the lower cognition group and enriched in the IL-17 signaling pathway. …”
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Creation of a minimal tiling path of genomic clones for Drosophila: provision of a common resource by Volker Hollich, Eric Johnson, Eileen E. Furlong, Boris Beckmann, Joseph Carlson, Susan E. Celniker, Jörg D. Hoheisel

“…In total, the 25,135 clones represent 76.7 Mb—equivalent to about 67% of the genome —and would be suitable for producing a microarray on a single slide.…”
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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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In Silico Analysis of Arabidopsis thaliana Peroxisomal 6-Phosphogluconate Dehydrogenase by Álvaro D. Fernández-Fernández, Francisco J. Corpas

“…The data show that a group of plant 6PGDHs contains an archetypal type 1 peroxisomal targeting signal (PTS), while in silico gene expression analysis using affymetrix microarray data suggests that Arabidopsis p6PGDH appears to be mainly involved in xenobiotic response, growth, and developmental processes.…”
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Alterations of circulating exosomal microRNAs in an LPS‐induced depression model of male mice: Potential role in the anti‐depressive effects of acupuncture by Jade Heejae Ko, Ka Yoon Chun, Seung‐Nam Kim

“…Using an LPS‐induced depression model, we examined acupuncture's effects on depression‐like behaviors and circulating exosomal miRNAs in serum. Microarray data revealed multiple miRNAs significantly altered by LPS or acupuncture, and subsequent bioinformatics analyses (TargetScan, KEGG, and Gene Ontology) identified pathways related to neuroinflammation, synaptic signaling, and circadian regulation. …”
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Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data. by Kakajan Komurov, Michael A White, Prahlad T Ram

“…We also present NetWalk analysis of microarray gene expression data from MCF7 cells exposed to different doses of doxorubicin, which reveals a switch-like pattern in the p53 regulated network in cell cycle arrest and apoptosis. …”
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Targeting Serglycin Prevents Metastasis in Murine Mammary Carcinoma. by Ananya Roy, Julia Femel, Elisabeth J M Huijbers, Dorothe Spillmann, Erik Larsson, Maria Ringvall, Anna-Karin Olsson, Magnus Åbrink

“…These data suggest that serglycin proteoglycans play a role in extravasation as well as colonization and growth of metastatic cells. A microarray expression analysis and functional annotation of differentially expressed genes identified several biological pathways where serglycin may be important. …”
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High-Resolution Genomic Profiling of Chromosomal Abnormalities in Human Stem Cells Using the 135 K StemArray by Aaron M. Elliott, Kristi A. Hohenstein Elliott, Anja Kammesheidt

“…Here, we describe an improved version of our StemArray, a stem-cell-focused comparative genomic hybridization (aCGH) microarray, which contains 135,000 probes and covers over 270 stem cell and cancer related genes at the exon level. …”
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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

“…We found that treatment with the HIF-1 inhibitors 2-Methoxyestradiol (2ME2), YC-1, and Bavachinin decreased lens opacity. Microarray analysis on 2ME2-treated samples, in which opacity was decreased, identified genes upregulated by galactose and downregulated by inhibitor treatment. …”
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Screening and bioinformatics analysis of IgA nephropathy gene based upon GEO database by Liu Yin, Zhao Bin, Xie Yu-sai, Yang Tao

“…Objective To identify novel biomarkers of IgA nephropathy（IgAN）through bioinformatics analysis and elucidate the possible molecular mechanism of IgAN.Methods The microarray datasets of GSE104948,GSE93798 and GSE37460 containing IgAN patients and healthy controls were downloaded from the GEO database and analyzed by using the limma R package for obtaining differentially expressed genes.Then GO and KEGG pathway enrichment analyses were performed.And STRING and Cytoscape software were utilized for constructing protein interaction networks for elucidating the molecular mechanism of IgAN.Results Thirty DEGs were identified, including 16 up-regulated genes and 14 down-regulated genes.Up-regulated genes such as FN1 and COL1 A2 are mainly involved in extracellular matrix receptor interaction and PI3 K-Akt signaling pathway.ALB gene was significantly down-regulated in IgA nephropathy.And FN1,COL1 A2,ALB and FABP genes were screened as hub genes.Conclusion FN1,COL1 A2,ALB and FABP genes may play an important role in the development of IgA nephropathy and serve as potential molecular targets for diagnosing and treating IgAN.…”
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Glucose regulates transcription in yeast through a network of signaling pathways by Shadia Zaman, Soyeon I Lippman, Lisa Schneper, Noam Slonim, James R Broach

“…Abstract Addition of glucose to yeast cells increases their growth rate and results in a massive restructuring of their transcriptional output. We have used microarray analysis in conjunction with conditional mutations to obtain a systems view of the signaling network responsible for glucose‐induced transcriptional changes. …”
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Integration of the transcriptome and glycome for identification of glycan cell signatures. by Sandra V Bennun, Kevin J Yarema, Michael J Betenbaugh, Frederick J Krambeck

“…The model further elucidated limitations in the two analytical platforms including a defect in the microarray for detecting the GnTV (MGAT5) enzyme. Our results demonstrate the potential of systems glycobiology tools for elucidating key glycan biomarkers and potential therapeutic targets. …”
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Determination of Viral Nucleic Acid in the Human Blood by M. A. Abdurashitov, N. A. Netesova

“…Methods such as in situ hybridization, reverse transcription reaction (RT-PCR), nested PCR, multiplex PCR, as well as DNA microarray technology, and the method of massive parallel sequencing are considered in detail. …”
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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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