Adenosine Receptor 3 in Liver Cancer: Expression Variability, Epigenetic Modulation, and Enhanced Histone Deacetylase Inhibitor Effects by Louise Kaldjob-Heinrich, Sandro Nuciforo, Steffen Lemke, Aaron Stahl, Stefan Czemmel, Sepideh Babaei, Lauriane Blukacz, Marie-Anne Meier, Yizheng Zhang, Christian M. Schürch, Irene Gonzalez-Menendez, Pascal Woelffing, Nisar P. Malek, Veit Scheble, Sven Nahnsen, Manfred Claassen, Markus Templin, Hans Bösmüller, Markus H. Heim, Daniel Dauch, Michael Bitzer

“…However, further data are required to clarify ADORA3 expression patterns in liver cancer, mechanisms of action, and the potential for combination therapies to inform patient selection for future clinical trials. Methods: Patient-derived tissue microarrays and RNA-sequencing were employed to investigate ADORA3 expression. …”
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Identification and Cross-Platform Validation of Sparse Molecular Classifiers for Antibody-Mediated and T-Cell–Mediated Rejection After Kidney Transplantation by Jasper Callemeyn, Josué Manik Nava-Sedeño, Dany Anglicheau, Jack Beadle, Jan Hinrich Bräsen, Marian C. Clahsen-van Groningen, Iacopo Cristoferi, Henriette de Loor, Andreas Deutsch, Marie Essig, Wilfried Gwinner, Philip F. Halloran, Dennis A. Hesselink, Priyanka Koshy, Dirk Kuypers, Evelyne Lerut, Pierre Marquet, Robert C. Minnee, Candice Roufosse, Ben Sprangers, Amaryllis H. Van Craenenbroeck, Haralampos Hatzikirou, Maarten Naesens

“…Methods: In a discovery cohort of 224 kidney transplant biopsies, lasso regression was applied on microarray gene expression data to derive a molecular classifier for ABMR and TCMR, respectively. …”
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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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Integrated analysis of hub genes and intrinsically disordered regions in triple-negative breast cancer by Azhar Iqbal, Faisal Ali, Sulaiman Ali Alharbi, Muhammad Sajid, Saleh Alfarraj, Momina Hussain, Tehmina Siddique, Rakhshanda Mustaq, Fakhra Shafique, Muhammad Sarfaraz Iqbal

“…Despite several attempts, the molecular pathways of TNBC remain unknown, posing a significant clinical barrier in the search for viable targets. Two microarray datasets were used to identify possible targets for TNBC, GSE38959 and GSE45827, retrieved from the Gene Expression Omnibus (GEO) database. …”
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Early diagnosis of acute myocardial infarction via hub genes identified by integrated weighted gene co-expression network analysis by Kun Huang, Feng Wen, Jingyi Li, Wenhao Niu, Hui Chen, Shilei Wan, Fupeng Yang, Yihong Chen, Chun Liang

“…Diagnostic biomarkers were selected and identified using three machine learning algorithms. …”
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KRT6A, KRT6B, PKP1, and PKP3 as key hub genes in esophageal cancer: A combined bioinformatics and experimental study by Shayan Marhamati, Morvarid Hamrahjoo, Zeinab Seyedkhan, Mahdi Bahmani, Nasrin Ziamajidi, Iraj Khodadadi, Mohadese Pouryani, Roghayeh Abbasalipourkabir

“…In this study, we downloaded the microarray datasets GSE157808 and GSE92396 from the Gene Expression Omnibus (GEO). …”
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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

“…A total of 140 isolates collected from the 94 <i>S. aureus</i>-positive community-based Alpine dairy pastures revealed 33 distinct <i>spa</i> types, with t2953 (<i>n</i> = 33), t529 (<i>n</i> = 12), t267 (<i>n</i> = 11), and t024 (<i>n</i> = 10) being the most common. 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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Spatial transcriptomic characteristics of gastric cancer in young and the expression and role of TMEM176B in gastric cancer cells by Zhenhua Jiang, Yongfeng Wang, Chi Zhang, Shuangyin Han

“…Methods The surgical specimens of six patients with GCY were included to construct a tissue microarray containing the tumor core region (TCR), cancer-adjacent tissue (CAT), and normal gastric tissue (NGT). …”
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Analysis of gene expression difference and biological process in chorionic villi of unexplained recurrent spontaneous abortion by Linling Shi, Lun Wei, Meiqiu Lu, Hongmei Ding, Le Bo

“…Abstract Objective To explore the biological relationship between the regulatory signal pathways involved in differentially expressed genes and recurrent spontaneous abortion (RSA) by analyzing the gene expression microarray data of unexplained RSA. Methods The gene expression profile data of chorionic villi from unexplained recurrent abortion with normal karyotype and selective induced abortion were compared. …”
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Screening of endoplasmic reticulum stress characteristic genes and immune infiltration manifestations in chronic obstructive pulmonary disease by ZHANG Shuang, LUO Chenyang, HE Zhiyi

“…At the same time, co-expressed mRNA and miRNA were selected to construct the mRNA-miRNA interaction network. …”
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Comprehensive bioinformatics analysis identifies hub genes associated with immune cell infiltration in early-onset schizophrenia by Shasha Wu, Tailian Xue, Yilin Li, Weikang Chen, Yan Ren

“…Methods In this study, we recruited 26 EOS patients and 27 healthy controls (HCs), and microarray data were collected. Crossover genes were identified using weighted gene co-expression network analysis (WGCNA) and differential expression genes (DEGs) analysis. …”
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Integrated analysis of genomic and transcriptomic profiles identified a prognostic immunohistochemistry panel for esophageal squamous cell cancer by Yue Yu, Zhihua Li, Chenjun Huang, Haisheng Fang, Fei Zhao, Yue Zhou, Xianglong Pan, Qifan Li, Yu Zhuang, Liang Chen, Jing Xu, Wei Wang

“…Results Three genes were selected, namely, ANO1, GAL, and MMP3, which were aberrantly expressed in ESCC tumor tissues (P < .001). …”
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Transcriptomic Signatures of Antibody-mediated Rejection in Early Biopsies With Negative Histology in HLA-incompatible Kidney Transplantation by Petra Hruba, PhD, Jiri Klema, PhD, Petra Mrazova, PhD, Eva Girmanova, PhD, Katerina Jaklova, MS, Ludek Voska, MD, Martin Kment, MD, Martina Mackova, PhD, Klara Osickova, MD, Vladimir Hanzal, MD, Philip F. Halloran, MD, PhD, Ondrej Viklicky, MD, PhD

“…RNA sequencing from biopsies selected from the biobank was used in cohort 1 (n = 32) and microarray, including the molecular microscope (Molecular Microscope Diagnostic System [MMDx]) algorithm, in recent cohort 2 (n = 30). …”
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Genetic correlation between fetal nuchal translucency thickening and cystic hygroma and exploration of pregnancy outcome by Jianli Zheng, Tiantian Wang, Huilin Sun, Yongjuan Guan, Fangfang Yang, Jing Wu, Feifei Ying, Yadong Fu, Min Li, Jianbing Liu

“…Abstract Chromosome microarray analysis (CMA) and whole exome sequencing (WES) are increasingly utilized in prenatal diagnosis of abnormal ultrasound findings, but studies on correlation between pathogenic copy number variations (pCNVs) and single-gene mutations in fetuses with nuchal translucency (NT) thickening/cystic hygroma (CH), and pregnancy outcomes, are rare. …”
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Ultrasensitive Peptide-Based Electrochemical Biosensor for Universal Diagnostic of Dengue by Isis Campos Prado, João Pedro Rangel da Silva Carvalho, André Souza Araujo, Paloma Napoleão-Pêgo, Salvatore Giovanni De-Simone

“…An identified linear B-cell epitope (DENV/18) specific for DENV 1–4 serotypes recognized by IgG in patient sera was selected as a target molecule after a microarray of peptides using the SPOT-synthesis methodology. …”
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CircATP5C1 promotes triple-negative breast cancer progression by binding IGF2BP2 to modulate CSF-1 secretion by Hongbo Liu, Haoqi Wang, Wei Gao, Yang Yuan, Tiantian Tang, Meixiang Sang, Fei Liu, Cuizhi Geng

“…We found a novel circRNA named circATP5C1, whose function in TNBC remains uncovered. Tissue microarray was used to analyze the association between the expression of circATP5C1 and the prognoses of TNBC patients. …”
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Inhibition of ATG5-mediated autophagy maintains PMAIP1 stability to promote cell apoptosis and suppress triple-negative breast cancer progression by Fangjian Shang, Hongfeng Nie, Liyan Du, Jin Shang, Xiangquan Song, Ya Chen, Hui Li, Zhuo Wang, Yixin Qi, Liyan Zhao

“…Methods TNBC-related datasets were retrieved from The Cancer Genome Atlas and selected by Prediction Analysis of Microarray 50 analysis to assess the expression of PMAIP1 in the samples. …”
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Identifying 4 Novel lncRNAs as Potential Biomarkers for Acute Rejection and Graft Loss of Renal Allograft by Zedan Zhang, Yanlin Tang, Hongkai Zhuang, Enyu Lin, Lu Xie, Xiaoqiang Feng, Jiayi Zeng, Yanjun Liu, Jiumin Liu, Yuming Yu

“…Then, 4 optimal DElncRNAs, ATP1A1-AS1, CTD-3080P12.3, EMX2OS, and LINC00645, were selected from 17 prognostic DElncRNAs to establish the 4-lncRNA risk score model. …”
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Characterizing Methicillin-Resistant <i>Staphylococcus</i> spp. and Extended-Spectrum Cephalosporin-Resistant <i>Escherichia coli</i> in Cattle by Lisa Abdank, Igor Loncaric, Sascha D. Braun, Elke Müller, Stefan Monecke, Ralf Ehricht, Reinhild Krametter-Frötscher

“…Isolates were characterized by a polyphasic approach including susceptibility pheno- and genotyping and microarray-based assays. No methicillin-resistant <i>Staphylococcus aureus</i> was found in the milk samples, but one nasal swab was positive for methicillin-resistant <i>Staphylococcus aureus</i>. …”
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