Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach by Joy Prokash Debnath, Kabir Hossen, Sabrina Bintay Sayed, Md. Sayeam Khandaker, Preonath Chondrow Dev, Saifuddin Sarker, Tanvir Hossain

“…This study aimed to identify the differentially expressed genes (DEGs) induced by the 2022 MPXV infection through comprehensive bioinformatics analyses of microarray and RNA-Seq datasets from post-infected cell types with different MPXV clades. …”
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Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma by Gang Wang, Jiaxing Zhang, Yirong Li, Yuyu Zhang, Weiwei Dong, Hengquan Wu, Jinglan Wang, Peiqing Liao, Ziqiang Yuan, Tao Liu, Wenting He

“…Abstract The microarray and single-cell RNA-sequencing (scRNA-seq) datasets of hepatocellular carcinoma (HCC) were downloaded from the Gene Expression Omnibus (GEO) database. …”
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A novel computational approach for predicting complex phenotypes in Drosophila (starvation-sensitive and sterile) by deriving their gene expression signatures from public data. by Dobril K Ivanov, Gerrit Bostelmann, Benoit Lan-Leung, Julie Williams, Linda Partridge, Valentina Escott-Price, Janet M Thornton

“…We utilised available microarray gene-expression data for two phenotypes (starvation-sensitive and sterile) in Drosophila. …”
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Amogel: a multi-omics classification framework using associative graph neural networks with prior knowledge for biomarker identification by Chia Yan Tan, Huey Fang Ong, Chern Hong Lim, Mei Sze Tan, Ean Hin Ooi, KokSheik Wong

“…Abstract The advent of high-throughput sequencing technologies, such as DNA microarray and DNA sequencing, has enabled effective analysis of cancer subtypes and targeted treatment. …”
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Global gene expression profiling reveals SPINK1 as a potential hepatocellular carcinoma marker. by Aileen Marshall, Margus Lukk, Claudia Kutter, Susan Davies, Graeme Alexander, Duncan T Odom

“…Six genes identified by microarray as highly expressed in HH-HCC were confirmed by RT qPCR. …”
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Distinctive profile of IsomiR expression and novel microRNAs in rat heart left ventricle. by Mary K McGahon, Janet M Yarham, Aideen Daly, Jasenka Guduric-Fuchs, Lyndsey J Ferguson, David A Simpson, Anthony Collins

“…The expression of known miRNAs in the heart has been studied at length by microarray and quantitative PCR but it is becoming evident that microRNA isoforms (isomiRs) are potentially physiologically important. …”
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TRIM22 promotes glioblastoma development by ubiquitinating Bcl-2 by Jiahao Zhang, Yuning Chen, Gaosong Wang, Hui Huang, Yuankun Liu, Jin Huang, Junfei Shao, Jiantong Jiao, Chao Cheng

“…A TRIM22-overexpressing ubiquitination microarray identified TRIM22 as a potential activator of Bcl-2. …”
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Predictive and prognostic significance of loss of heterozygosity in ABC transporter genes in breast cancer by M. M. Tsyganov, M. K. Ibragimova, E. Yu. Garbukov, O. D. Bragina, E. A. Zdereva, E. A. Usynin, N. V. Litviakov

“…Material and methods. a total of 130 breast cancer patients were included in the study. microarray analysis was performed on Affymetrix Cytoscantm HD Array high-density DNA chips to assess LOH status. …”
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Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…The proposed model, which identifies the optimal feature set for classification using Support Vector Machine (SVM), has achieved an impressive prediction accuracy of 93.94 %. Results on microarray datasets for leukemia prediction show that the hybrid approach outperforms other methods in terms of both effectiveness and efficiency. …”
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FAM111B knockdown attenuates tumorigenesis of ovarian cancer via the downregulation of MYC by Guoyu Yu, Fang Wei, Wanying Li, Qiuyun Guo, Lihong Zhang

“…Immunohistochemical analyses conducted on tissue-microarray samples obtained from patients with serous ovarian cancer indicated that elevated levels of FAM111B expression were associated with unfavorable prognostic outcomes. …”
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Bioinformatics and network pharmacology-based study to elucidate the multi-target pharmacological mechanism of the indigenous plants of Medina valley in treating HCV-related hepato... by Mubarak A. Alamri

“…Following that, this study combines network pharmacology with bioinformatics approaches to potentially revolutionize HCV-related HCC treatment by identifying effective phytochemicals of indigenous plants of Medina valley. …”
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Global challenges and solutions to achieving and sustaining measles and rubella elimination by Natasha S. Crowcroft, Anna A. Minta, Sebastien Antoni, Lee Lee Ho, William Perea, Mick N. Mulders, Anindya Sekhar Bose, Aaron Wallace, Diana Chang Blanc, Patrick M. O’Connor

“…Progress will be supported through technological innovations such as microarray patch vaccines. Whether this holistic approach will be more effective than vertical initiatives at achieving measles and rubella elimination remains to be seen. …”
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Investigation on the Electron Emission Regularity of Sputtered Boron Nitride Thin Films and Microstructured Array Surfaces by Yuqing Gu, Juannan Li, Dan Wang

“…The results of laser etching on the BN bulk surface to form microarray structures show that the EEC of BN bulk decreases significantly with the increase of the average aspect ratio of the microstructures. …”
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Poly-β-D-(1,6)-N-acetyl-glucosamine (PNAG) glycan vaccines with broad spectrum neutralizing activities by Kuo-Shiang Liao, Mu-Rong Kao, Tzu-Hsuan Ma, Mei-Hua Hsu, Tzu-Yin Chen, Balázs Imre, Philip J. Harris, Jiun-Jie Shie, Cheng-Hsun Chiu, Chung-Yi Wu, Yves S. Y. Hsieh

“…Glycan microarray analysis shows that dPNAG glycans with DP8 and DP12 are optimal, with corresponding protein conjugates eliciting the highest IgG titers. …”
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Genetic testing for oral clefts: reflections based on a single Brazilian public genetics service by Tamiris Nogueira Bezerra Bueno, Társis Paiva Vieira, Vera Lúcia Gil-da-Silva-Lopes

“…They also show the need to improve public health policies for genetic evaluation, diagnostic tests, and genetic counseling for an effective NPCCPRD.…”
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Comparative Study of PPARγ Targets in Human Extravillous and Villous Cytotrophoblasts by Fulin Liu, Christine Rouault, Mickael Guesnon, Wencan Zhu, Karine Clément, Séverine A. Degrelle, Thierry Fournier

“…Visualizations were prepared in Cytoscape. From our microarray data, 139 DEGs were detected in rosiglitazone-treated EVCTs (RT-EVCTs) and 197 DEGs in rosiglitazone-treated VCTs (RT-VCTs). …”
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Identification of Novel Molecular Panel as Potential Biomarkers of PAN-Gastrointestinal Cancer Screening: Bioinformatics and Experimental Analysis by Fatemeh Hajibabaie, Parisa Mohamadynejad, Laleh Shariati, Kamran Safavi, Navid Abedpoor

“…In the present study, using integrated transcriptomics, RNA-Seq and microarray data, from the TCGA and GEO databases, respectively, were combined to discover and validate a global biomarker panel for PAN-gastrointestinal cancers. …”
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Metformin inhibits high glucose‐induced apoptosis of renal podocyte through regulating miR‐34a/SIRT1 axis by Xudong Zhuang, Zhuye Sun, Huasheng Du, Tianhui Zhou, Jing Zou, Wei Fu

“…A conditionally immortalized human podocyte cell line was cultivated in d‐glucose (30 mM). Results Microarray and RT‐qPCR revealed that miR‐34a was downregulated in HG‐treated podocytes. …”
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Prenatal Diagnosis of Fetal Visceral Situs Abnormalities: A Retrospective Study by Xiaoping Gong, Mingli Lv, Guanjie Wang, Yunyun Cao, Ping Chen, Hui Wang

“…Moreover, for fetuses diagnosed with visceral situs abnormalities and pregnant women with normal chromosomal results, WES remains essential to improve the detection rates of PCD or other genetic abnormalities.…”
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Potential role of SLC6A3 in neurodevelopmental impairments associated with corpus callosum abnormalities: insights from CNV analysis and clinical phenotyping by Shan-yu Liu, Wei Huang, Hui-lin Ou, Li Wang, Dan-dan Wang, Wei-he Tan, Qin She

“…Methods From January 2021 to July 2023, 13 children with MRI-confirmed CCAs underwent chromosomal microarray analysis (CMA) for CNV detection. We performed bioinformatic analyses (Gene Ontology, STRING network) to identify neurodevelopmental genes within pathogenic CNVs, and clinical follow up assessed neurobehavioral outcomes. …”
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