High-Throughput Identification of Crystalline Natural Products from Crude Extracts Enabled by Microarray Technology and microED by David A. Delgadillo, Jessica E. Burch, Lee Joon Kim, Lygia S. de Moraes, Kanji Niwa, Jason Williams, Melody J. Tang, Vincent G. Lavallo, Bhuwan Khatri Chhetri, Christopher G. Jones, Isabel Hernandez Rodriguez, Joshua A. Signore, Lewis Marquez, Riya Bhanushali, Sunmin Woo, Julia Kubanek, Cassandra Quave, Yi Tang, Hosea M. Nelson

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Deconstructing Wine Grape Cell Walls with Enzymes During Winemaking: New Insights from Glycan Microarray Technology by Yu Gao, Anscha J. J. Zietsman, Melané A. Vivier, John P. Moore

“…The novelty of the Comprehensive Microarray Polymer Profiling (CoMPP) technique using cell wall probes (e.g., antibodies) as a method for following cell wall derived polymers during different biological and biotechnological processes is discussed. …”
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A Miniaturized Silicon Lab-on-Chip for Integrated PCR and Hybridization Microarray for High Multiplexing Nucleic Acids Analysis by Giorgio Ventimiglia, Massimiliano Pesaturo, Alastair Malcolm, Salvatore Petralia

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A flexible ensemble regression model of extreme learning machine for missing value imputation of DNA microarray data by Pan Xiuwei, Dong Wenlu, Yu Hualong

“…Missing value imputation (MVI) is important for DNA microarray data analysis because microarray data with missing values would significantly degrade the performance of the downstream analysis. …”
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Hybridization of data-driven threshold algorithm with fuzzy particle swarm optimization technique for gene selection in microarray data by Paul Olujide Adebayo, Rasheed Gbenga Jimoh, Waheed Babatunde Yahya

Subjects: “…Microarrays…”
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Microarray expression profile of mRNAs and long noncoding RNAs and the potential role of PFK-1 in infantile hemangioma by Kaiying Yang, Xuepeng Zhang, Linwen Chen, Siyuan Chen, Yi Ji

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Detection of Allergenic Proteins in Foodstuffs: Advantages of the Innovative Multiplex Allergen Microarray-Based Immunoassay Compared to Conventional Methods by Lisa Tuppo, Ivana Giangrieco, Maurizio Tamburrini, Claudia Alessandri, Adriano Mari, Maria Antonietta Ciardiello

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Corrigendum: Exploring the molecular mechanism of hepatitis virus inducing hepatocellular carcinoma by microarray data and immune infiltrates analysis by Yong-Zheng Zhang, Amir Zeb, Lu-Feng Cheng

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VFG-Chip: A high-throughput qPCR microarray for profiling virulence factor genes from the environment by Shu-Ting Xie, Long-Jun Ding, Fu-Yi Huang, Yi Zhao, Xin-Li An, Jian-Qiang Su, Guo-Xin Sun, Ya-Qiong Song, Yong-Guan Zhu

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Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis by N. Bharanidharan, S. R. Sannasi Chakravarthy, Vinoth Kumar Venkatesan, Mohamed Abbas, T. R. Mahesh, E. Mohan, Krishnamoorthy Venkatesan

“…The local entropy-based fitness function is utilized to evaluate the appropriateness of population in Remora Optimization algorithm, and it is considered as the important reason for performance improvement in the proposed cancer diagnosis system. 1027 patients are taken into consideration in this analysis of the microarray datasets, which were gathered from the Curated Microarray Database. …”
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Plasmodium falciparum serology: A comparison of two protein production methods for analysis of antibody responses by protein microarray by Tate Oulton, Joshua Obiero, Isabel Rodriguez, Isaac Ssewanyana, Rebecca A. Dabbs, Christine M. Bachman, Bryan Greenhouse, Chris Drakeley, Phil L. Felgner, Will Stone, Kevin K. A. Tetteh

“…The evaluation of protein antigens as putative serologic biomarkers of infection has increasingly shifted to high-throughput, multiplex approaches such as the protein microarray. In vitro transcription/translation (IVTT) systems–a similarly high-throughput protein expression method–are already widely utilised in the production of protein microarrays, though purified recombinant proteins derived from more traditional whole cell based expression systems also play an important role in biomarker characterisation. …”
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Identification of potential biomarkers for nonsurvivor sepsis patients via microarray technology: A study based on GEO datasets by Yan Ma, Shichao Shan, Cheng Luo, Jianlan Mo, Zhaokun Hu, Ren Jing

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Characterization of HPV subtypes in invasive cervical cancer in Botswana patients using a pan-pathogen microarray technology by Surbhi Grover, Tyler Seckar, Le Gao, Rohini Bhatia, Xiang Lin, Nicola Zetola, Doreen Ramogola-Masire, Erle Robertson

“…In this study, we investigated the distribution of HPV subtypes in cervical cancer biopsy samples from patients in Botswana using a highly sensitive pan-pathogen microarray technology, PathoChip, to detect both high- (HR-HPV) and low-risk HPV (LR-HPV) subtypes in women living with HIV (WLWH) and women living without HIV. …”
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Rapid Transient Transcriptional Adaptation to Hypergravity in Jurkat T Cells Revealed by Comparative Analysis of Microarray and RNA-Seq Data by Christian Vahlensieck, Cora S. Thiel, Jan Adelmann, Beatrice A. Lauber, Jennifer Polzer, Oliver Ullrich

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Assessment of Combined Karyotype Analysis and Chromosome Microarray Analysis in Prenatal Diagnosis: A Cohort Study of 3710 Pregnancies by Jin Wang, Danni Wang, Yan Yin, Yi Deng, Mengling Ye, Ping Wei, Zhuo Zhang, Chun Chen, Shengfang Qin, Xueyan Wang

“…The current study aimed to compare the characteristics of chromosome abnormalities detected by conventional G-banding karyotyping, chromosome microarray analysis (CMA), or fluorescence in situ hybridization (FISH)/CNVplex analysis and further explore the application value of combined karyotype analysis and CMA in prenatal diagnosis with a larger sample size. …”
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MicroRNA and cDNA-Microarray as Potential Targets against Abiotic Stress Response in Plants: Advances and Prospects by Tariq Pervaiz, Muhammad Waqas Amjid, Ashraf El-kereamy, Shi-Hui Niu, Harry X. Wu

“…In response to abiotic stresses, altered expression patterns of miRNAs have been reported, and, as a result, cDNA-microarray and microRNA (miRNA) have been used to identify genes and their expression patterns against environmental adversities in plants. …”
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Target gene analysis by microarrays and chromatin immunoprecipitation identifies HEY proteins as highly redundant bHLH repressors. by Julia Heisig, David Weber, Eva Englberger, Anja Winkler, Susanne Kneitz, Wing-Kin Sung, Elmar Wolf, Martin Eilers, Chia-Lin Wei, Manfred Gessler

“…We therefore sought to identify target genes for HEY proteins by microarray expression and ChIPseq analyses in HEK293 cells, cardiomyocytes, and murine hearts. …”
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Expression of Beta-Catenin, Cadherins and P-Runx2 in Fibro-Osseous Lesions of the Jaw: Tissue Microarray Study by Giuseppe Pannone, Riccardo Nocini, Angela Santoro, Francesca Spirito, Pier Francesco Nocini, Silvana Papagerakis, Renny T. Franceschi, Marina Di Domenico, Angelina Di Carlo, Nana Danelia, Lorenzo Lo Muzio

“…The intracellular mechanism leading to excessive deposition of fibrous tissue and alteration of differentiation processes leading to osteomalacia have not yet been fully clarified. Tissue Microarray (TMA)-based immunohistochemical expression of β-catenin, CK-AE1/AE3, Ki-67, cadherins and P-Runx2 were analyzed in archival samples from nine patients affected by FD and HPT-JT and in seven controls, with the aim of elucidating the contribution of these molecules (β-catenin, cadherins and P-Runx2) in the osteoblast differentiation pathway. β-catenin was strongly upregulated in FD, showing a hyper-cellulated pattern, while it was faintly expressed in bone tumors associated with HPT-JT. …”
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Repurposing of a human antibody-based microarray to explore conserved components of the signalome of the parasitic nematode Haemonchus contortus by Jack Adderley, Tao Wang, Guangxu Ma, Yuanting Zheng, Neil D. Young, Christian Doerig, Robin B. Gasser

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Identification of hub genes based on integrated analysis of single-cell and microarray transcriptome in patients with pulmonary arterial hypertension by Yuhan Qin, Gaoliang Yan, Yong Qiao, Dong Wang, Chengchun Tang

“…Methods Single-cell RNA sequencing (scRNA-seq) data from the Gene Expression Omnibus (GEO) database (GSE210248) was included and analyzed comprehensively. Additionally, microarray transcriptome data including 15 lung tissue from PAH patients and 11 normal samples (GSE113439) was also obtained. …”
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