Urinary fetuin-A is a novel marker for diabetic nephropathy in type 2 diabetes identified by lectin microarray. by Kentaro Inoue, Jun Wada, Jun Eguchi, Atsuko Nakatsuka, Sanae Teshigawara, Kazutoshi Murakami, Daisuke Ogawa, Takahiro Terami, Akihiro Katayama, Atsuhito Tone, Izumi Iseda, Kazuyuki Hida, Masao Yamada, Tomohisa Ogawa, Hirofumi Makino

“…We analyzed the urine samples of patients with type 2 diabetes at various stages of diabetic nephropathy by lectin microarray to identify a biomarker to predict the progression of diabetic nephropathy. …”
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Microarray analysis of kiwifruit (Actinidia chinensis) bark following challenge by the sucking insect Hemiberlesia lataniae (Hemiptera: Diaspididae) by M. Garry Hill, Kirstin V. Wurms, Marcus W. Davy, Elaine Gould, Andrew Allan, Nicola A. Mauchline, Zhiwei Luo, Annette Ah Chee, Kate Stannard, Roy D. Storey, Erik H. Rikkerink

“…This experiment describes transcriptome changes observed in the bark of kiwifruit 2 and 7 days after the commencement of feeding by the armored scale insect pest, Hemiberlesia lataniae. Using a cDNA microarray consisting of 17,512 unigenes, we measured transcriptome changes and analyzed these into functional ontology categories using MapMan. …”
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Host tissue and glycan binding specificities of avian viral attachment proteins using novel avian tissue microarrays. by Iresha N Ambepitiya Wickramasinghe, Robert P de Vries, Amber M Eggert, Nantaporn Wandee, Cornelis A M de Haan, Andrea Gröne, Monique H Verheije

“…To increase our understanding of avian pathogens and the susceptibility of poultry species, we developed novel avian tissue microarrays (TMAs). Tissue binding profiles of avian viral attachment proteins were studied by performing histochemistry on multi-species TMA, comprising of selected tissues from ten avian species, and single-species TMAs, grouping organ systems of each species together. …”
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The Determination of Immunomodulation and Its Impact on Survival of Rectal Cancer Patients Depends on the Area Comprising a Tissue Microarray by Elisabeth S. Gruber, Georg Oberhuber, Dietmar Pils, Theresa Stork, Katharina Sinn, Sylvia Gruber, Robert Nica, Dan Kolmer, Suzanne D. Turner, Michaela Schlederer, Joachim Widder, Wolfgang Doerr, Béla Teleky, Lukas Kenner

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Development of a 76k Alpaca (<i>Vicugna pacos</i>) Single Nucleotide Polymorphisms (SNPs) Microarray by Marcos Calderon, Manuel J. More, Gustavo A. Gutierrez, Federico Abel Ponce de León

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Elevation of Tear MMP-9 Concentration as a Biomarker of Inflammation in Ocular Pathology by Antibody Microarray Immunodetection Assays by Miguel de la Fuente, Iñaki Rodríguez-Agirretxe, Elena Vecino, Egoitz Astigarraga, Arantxa Acera, Gabriel Barreda-Gómez

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Evaluation of gene expression profiles of pig skeletal muscle in response to energy content of the diets using human microarrays by Giorgio Graziosi, Bruno Stefanon, Fabio Pilla, Alberto Pallavicini, Mariasilvia D'Andrea, Monica Colitti, Simeone Dal Monego

Subjects: “…Dietary energy, Gene transcription, Microarray, Skeletal muscle, Pig.…”
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Identification of candidate genes of intellectual disability by single-gene deletions/amplifications mapping using chromosomal microarray analysis by A. Kashevarova, M. Lopatkina, E. Belyaeva, D. Fedotov, G. Drozdov, L. Nazarenko, I. Lebedev

“…Methods aCGH with 60K Agilent microarrays, qPCR. Results Among 1099 patients with intellectual disability potentially pathogenic single-gene deletions/amplifications were detected in 51 individuals (5%). qPCR was used to verify aberrations in 21 patients (41%). …”
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Microarray analysis identifies coding and non-coding RNA markers of liver injury in whole body irradiated mice by Molykutty J. Aryankalayil, Michelle A. Bylicky, Shannon Martello, Sunita Chopra, Mary Sproull, Jared M. May, Aman Shankardass, Laurel MacMillan, Claire Vanpouille-Box, Juan Dalo, Kevin M. K. Scott, C. Norman Coleman

“…We performed whole transcriptome microarray analysis of mouse liver tissue (C57BL/6 J) 48 h after whole-body irradiation with 1, 2, 4, 8, and 12 Gray to identify significant expression changes in mRNAs, lncRNAs, and miRNAs, We also validated changes in specific RNAs through qRT-PCR. …”
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SARS-CoV-2 Epitope Mapping on Microarrays Highlights Strong Immune-Response to N Protein Region by Angelo Musicò, Roberto Frigerio, Alessandro Mussida, Luisa Barzon, Alessandro Sinigaglia, Silvia Riccetti, Federico Gobbi, Chiara Piubelli, Greta Bergamaschi, Marcella Chiari, Alessandro Gori, Marina Cretich

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Neurodevelopmental continuum and pathogenic CNV detection in adult onset psychiatric disorders: microarray analysis in psychiatric clinical practice by Á. Ruiz De Pellón Santamaría

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Solution-phase and automated solid-phase synthesis of high-mannose oligosaccharides : application to carbohydrate microarrays and biological studies by Ratner, Daniel Martin, 1977-

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Use of high-density tiling microarrays to identify mutations globally and elucidate mechanisms of drug resistance in Plasmodium falciparum by Dharia, Neekesh V, Sidhu, Amar Bir Singh, Cassera, Maria Belen, Westenberger, Scott J, Bopp, Selina ER, Eastman, Rich T, Plouffe, David, Batalov, Serge, Volkman, Sarah K, Zhou, Yingyao, Fidock, David A, Winzeler, Elizabeth A, Park, Daniel J., Wirth, Dyann F.

“…Results: Here we show that tiling microarrays can detect de novo a large proportion of the genetic changes that differentiate one genome from another. …”
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Systematic Spatial Bias in DNA Microarray Hybridization Is Caused by Probe Spot Position-Dependent Variability in Lateral Diffusion by Steger, Doris, Berry, David, Haider, Susanne, Horn, Matthias, Wagner, Michael, Stocker, Roman, Loy, Alexander

“…Numerical simulations reveal a strong influence of microarray well geometry on the spatial bias. Conclusions Reciprocal adjustment of the size of the microarray hybridization chamber to the area of surface-bound probes is a simple and effective measure to minimize or eliminate the diffusion-based bias, resulting in increased uniformity and accuracy of quantitative DNA microarray hybridization.…”
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CometChip: A High-throughput 96-Well Platform for Measuring DNA Damage in Microarrayed Human Cells by Ge, Jing, Prasongtanakij, Somsak, Wood, David K., Weingeist, David M., Fessler, Jessica, Navasummrit, Panida, Ruchirawat, Mathuros, Engelward, Bevin P.

“…Here, we describe a novel platform that exploits microfabrication techniques to pattern cells in a fixed microarray The ‘CometChip’ is based upon the well-established single cell gel electrophoresis assay (a.k.a. the comet assay), which estimates the level of DNA damage by evaluating the extent of DNA migration through a matrix in an electrical field. …”
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Microarray profiling shows distinct differences between primary tumors and commonly used preclinical models in hepatocellular carcinoma by Wang, Weining, Iyer, N. Gopalakrishna, Tay, Hsien Ts’ung, Wu, Yonghui, Lim, Tony K. H., Zheng, Lin, Song, In Chin, Kwoh, Chee Keong, Huynh, Hung, Tan, Patrick O. B., Chow, Pierce K. H.

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Expression of Wnt-signaling pathway proteins in intraductal papillary mucinous neoplasms of the pancreas: a tissue microarray analysis. by Chetty, R, Serra, S, Salahshor, S, Alsaad, K, Shih, W, Blaszyk, H, Woodgett, JR, Tsao, MS

“…This pathway has not been explored in intraductal papillary mucinous neoplasms (IPMNs) of the pancreas previously and formed the basis of this study. A tissue microarray of 18 cases of IPMN was stained for proteins involved in the Wnt pathway: adenomatous polyposis coli (APC), pan-beta-catenin, axin 2, glycogen synthase 3alphabeta and 3beta, c-myc, E-cadherin, and cyclin D1. …”

Space and time-resolved gene expression experiments on cultured mammalian cells by a single-cell electroporation microarray. by Vassanelli, S, Bandiera, L, Borgo, M, Cellere, G, Santoni, L, Bersani, C, Salamon, M, Zaccolo, M, Lorenzelli, L, Girardi, S, Maschietto, M, Dal Maschio, M, Paccagnella, A

“…We report on a single-cell electroporation microarray enabling the transfection of pre-selected individual cells at different sites within the same culture (space-resolved), at arbitrarily chosen time points and even sequentially to the same cells (time-resolved). …”

Transcriptome sequencing, microarray, and proteomic analyses reveal cellular and metabolic impact of hepatitis C virus infection in vitro. by Woodhouse, S, Narayan, R, Latham, S, Lee, S, Antrobus, R, Gangadharan, B, Luo, S, Schroth, G, Klenerman, P, Zitzmann, N

“…We conducted the first full-genome RNA-Seq analysis in a host cell to analyze infected and noninfected cells, and compared this to microarray and proteomic analyses. The combined power of the triple approach revealed that HCV infection affects a number of previously unreported canonical pathways and biological functions, including pregnane X receptor/retinoic acid receptor activation as a potential host antiviral response, and integrin-linked kinase signaling as an entry factor. …”

The application of artificial intelligence to microarray data: identification of a novel gene signature to identify bladder cancer progression. by Catto, J, Abbod, M, Wild, P, Linkens, D, Pilarsky, C, Rehman, I, Rosario, D, Denzinger, S, Burger, M, Stoehr, R, Knuechel, R, Hartmann, A, Hamdy, F

“…BACKGROUND: New methods for identifying bladder cancer (BCa) progression are required. Gene expression microarrays can reveal insights into disease biology and identify novel biomarkers. …”