Differentiating Branch Duct and Mixed IPMN in Endoscopically Collected Pancreatic Cyst Fluid via Cytokine Analysis by Linda S. Lee, Andrew M. Bellizzi, Peter A. Banks, Nisha I. Sainani, Vivek Kadiyala, Shadeah Suleiman, Darwin L. Conwell, Joao A. Paulo

“…Concentrations of 89 IMPs in these samples were determined using a multiplexed bead-based microarray protein assay and compared between BD-IPMN and mixed IPMN. …”
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ARHGAP42 promotes cell migration and invasion involving PI3K/Akt signaling pathway in nasopharyngeal carcinoma by Qian Hu, Xiao Lin, Linxiaoxiao Ding, Yinduo Zeng, Danmei Pang, Nengtai Ouyang, Yanqun Xiang, Herui Yao

“…However, the effect of ARHGAP42 in promoting cell malignancy in nasopharyngeal carcinoma is demonstrated in this study. Microarray and real‐time quantitative PCR were used for a mRNA profiling of ARHGAP42 in nasopharyngeal primary and metastatic carcinoma tissues. …”
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Identifying shared hub genes in LIRI and MASLD through bioinformatics analysis and machine learning by Yongzhi Zhou, Bing Yin, Yang Yang, Zhongyu Li, Zhanzhi Meng, Shounan Lu, Baolin Qian, Xinglong Li, Yongliang Hua, Hongjun Yu, Yao Fu, Yong Ma

“…Using liver transplantation and MASLD datasets from the Gene Expression Omnibus, we applied Linear Models for Microarray Data and weighted gene co-expression analysis to identify differentially expressed genes and key module genes. …”
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Differential gene expression in patients with anal fistula reveals high levels of prolactin recepetor by Song Yi-Huan, Qiu Jian-Ming, Yang Guan-Gen, Wang Dong, Lin A-Li, Xu Kan

“…The aim of the present study was to examine prolactin receptors (PRLR) as inflammatory markers and to correlate their expression with both the complexity of anal fistulas and the likelihood of fistula recurrence. Methods. Microarray was used to screen the differentially expressed gene profile of anal fistula using anal mucosa samples with hemorrhoids with ageand sex-matched patients as controls and then a prospective analysis of 65 patients was conducted with anal fistulas. …”
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Overexpression of KMT9α is associated with poor outcome in cholangiocarcinoma patients by Maximilian N. Kinzler, Eric Metzger, Rebecca Schulz, Katrin Bankov, Anna Ramos-Triguero, Falko Schulze, Steffen Gretser, Nada Abedin, Armin Wiegering, Stefan Zeuzem, Dirk Walter, Henning Reis, Roland Schüle, Peter J. Wild

“…For the first time, we investigated the presence of KMT9α in cholangiocarcinoma, the association with histologic subtypes, and its impact on survival. Methods A tissue microarray cohort of all CCA patients who underwent surgical resection with curative intent between 08/2005 and 12/2021 at the University Hospital Frankfurt was immunohistochemically analyzed with the KMT9α antibody. …”
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Comprehensive bioinformatics analysis and experimental verification identify mitochondrial gene Dgat2 as a novel therapeutic biomarker for myocardial ischemia-reperfusion by Hong Li, Hong Li, Yixin Zhou, Wenya Xue, Pan Yin, Luyu Liu, Shaobo Wu, Yahao Zhao, Qi An, Yang Sun

“…This study aimed to identify potential new targets and biomarkers for mitochondria-related genes in MI/RI.MethodsMI/R microarray data (GSE160516) from the GEO database and a mitochondrial geneset were analyzed. …”
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Reclassification of Variants Following Renal Genetics Testing: Uncommon Yet Impactful for Diagnosis and Management by Euyn Lim, Chloe Borden, Seysha Mehta, Mary-Beth Roberts, Sarah Mazzola, Fang Zhao, Xiangling Wang

“…Multigene panel was the most frequently used modality followed by single-gene testing, exome sequencing (ES), chromosomal microarray (CMA), and genome sequencing (GS). At initial report, 52% of patients had ≥1 variants of uncertain significance (VUS) with or without concurrent pathogenic variant(s). …”
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Involvement of WNT Signaling in the Regulation of Gestational Age-Dependent Umbilical Cord-Derived Mesenchymal Stem Cell Proliferation by Sota Iwatani, Akemi Shono, Makiko Yoshida, Keiji Yamana, Khin Kyae Mon Thwin, Jumpei Kuroda, Daisuke Kurokawa, Tsubasa Koda, Kosuke Nishida, Toshihiko Ikuta, Kazumichi Fujioka, Masami Mizobuchi, Mariko Taniguchi-Ikeda, Ichiro Morioka, Kazumoto Iijima, Noriyuki Nishimura

“…In the present study, we isolated UC-MSCs from 23 infants delivered at 22–40 weeks of gestation and analyzed their gene expression and cell proliferation. Microarray analysis revealed that global gene expression in preterm UC-MSCs was distinct from term UC-MSCs. …”
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The Expression Profile of MicroRNAs in Small and Large Abdominal Aortic Aneurysms by Václava Černá, Pavel Ostašov, Pavel Pitule, Jiří Moláček, Vladislav Třeška, Martin Pešta

“…Tissue samples of AAA patients and healthy controls were collected, from which miRNA was isolated. Microarray including the complete panel of 2549 miRNAs was used to find expression miRNA profiles that were analysed in three subgroups: small (N = 10) and large (N = 6) aneurysms and healthy controls (N = 5). …”
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Genome-Wide Association Study of Exercise Addiction Among Elite Wrestlers by Celal Bulgay, Anıl Kasakolu, Türker Bıyıklı, Seyrani Koncagul, Hasan H. Kazan, Ildus I. Ahmetov, Mehmet A. Ergun, Mark D. Griffiths, Attila Szabo

“…Whole-genome genotyping was performed using DNA microarray. Results: Using a genome-wide approach (<i>p</i> < 1.0 × 10⁻⁵), we identified six suggestively significant single-nucleotide polymorphisms (SNPs) associated with exercise addiction status. …”
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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. Furthermore, we validated iSCORED’s real-time applicability in 15 diagnostically challenging primary brain tumors, achieving 100% concordance in detecting aberrant CNV detection, including diagnostic chromosomal gains/losses and oncogene amplifications (10/10). …”
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Genome-wide analysis in the search for candidate genes associated with meat productivity traits in meat-and-dairy goats by M. I. Selionova, A.-M. M. Aibazov, A. A. Sermyagin, A. A. Belous, N. A. Zinovieva

“…GWAS analysis using Goat 50K BeadChip high-density DNA microarray determined a genome-wide level of significance for six SNPs located on chromosomes 5, 6, 10 and 16 associated with the live weight of young animals (4 and 8 months old). …”
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Prevalence and Diversity of <i>Staphylococcus aureus</i> in Bulk Tank Milk from Community-Based Alpine Dairy Pastures in Tyrol, Austria by Nasrin Ramezanigardaloud, Igor Loncaric, Patrick Mikuni-Mester, Masoumeh Alinaghi, Monika Ehling-Schulz, Johannes Lorenz Khol, Tom Grunert

“…Selected isolates representing the different <i>spa</i> types were characterised by DNA microarray-based genotyping, multi-locus sequence typing (MLST), and antimicrobial susceptibility testing. …”
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Establishing an induced pluripotent stem cell bank using urine cells from pediatric patients with neurogenetic diseases by Hien Bao Dieu Thai, WonWoo Jung, Sol Choi, Woo Joong Kim, JangSup Moon, ByungChan Lim

“…The genomic stability of the iPSCs was assessed using chromosomal microarray (CMA). Results UCs were successfully isolated from patients with various early-onset neurogenetic diseases and reprogrammed into iPSCs. …”
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MiR-223-3p regulates erythropoiesis by targeting TGFBR3/Smad signaling pathway in hemoglobin H-Constant Spring disease by Lan Lan, Xinyu Wang, Simeng Zhang, Dan Zeng, Limin Mo, Qiao Feng, Jun Li, Chunjiang Zhu

“…The present study analyzed miRNAs differential expression profile between patients with HbH-CS disease and healthy subjects by Arraystar Human small RNA Microarray.Methods The differential expression profiles of miRNAs between HbH-CS patients and healthy individuals were analyzed using Arraystar human small RNA microarrays. …”
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Long Noncoding RNA and mRNA m6A Modification Analyses of Periodontal Ligament Stem Cells from the Periodontitis Microenvironment Exposed to Static Mechanical Strain by Weifu Sun, Jia Liu, Xu Zhang, Xiaochen Zhang, Jie Gao, Xin Chen, Xian Wang, Wen Qin, Zuolin Jin

“…Therefore, we performed an m6A microarray assay with pPLDSCs and hPDLSCs exposed to 12% SMS and found that 143 lncRNAs and 739 mRNAs were differentially methylated. …”
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Targeting PRDX2 to inhibit tumor growth and metastasis in triple-negative breast cancer: the role of FN1 and the PI3K/AKT/SP1 pathway by Jiawei Zhou, Anqi Cheng, Jianqiang Guo, Yafeng Liu, Xuan Li, Maoqian Chen, Dong Hu, Jing Wu

“…Methods This study utilized TNBC tissue microarrays to detect Peroxiredoxin 2 (PRDX2) expression levels and analyzed the correlation between PRDX2 and tumor invasion as well as invasion-related gene expression through the TCGA database. …”
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Genome-wide analysis of long non-coding RNA expression and function in colorectal cancer by Fangyuan Jing, Huicheng Jin, Yingying Mao, Yingjun Li, Ye Ding, Chunhong Fan, Kun Chen

“…Long non-coding RNA microarray was applied to investigate the global long non-coding RNA expression profile in colorectal cancer. …”
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PRMT3 drives PD-L1-mediated immune escape through activating PDHK1-regulated glycolysis in hepatocellular carcinoma by Chen-Hong Ding, Fang-Zhi Yan, Bo-Nan Xu, Hui Qian, Xia-Lu Hong, Shu-Qing Liu, Yuan-Yuan Luo, Si-Han Wu, Ling-Yan Cai, Xin Zhang, Wei-Fen Xie

“…Chromatin immunoprecipitation (ChIP) assay demonstrated that PRMT3 promotes lactate-induced PD-L1 expression by enhancing the direct binding of histone H3 lysine 18 lactylation (H3K18la) to the PD-L1 promoter. Tissue microarray analysis showed a positive correlation between PRMT3 and PD-L1 expression in HCC patients. …”
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OTX2 expression contributes progression of gastric cancer in young adults by Jingming Zhai, Ting Lyu, Yimin Guo, Yanhui An, Yali Xiang, Linying Xie, Chao Zeng

“…RNA expression profile microarray data of gastric cancer patients ≤ 45 years old and > 45 years old were downloaded from the TCGA database, and differentially expressed genes were screened by Limma package. …”
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