Molecular Signatures of Recurrent Hepatocellular Carcinoma Secondary to Hepatitis C Virus following Liver Transplantation by Trina Das, Deborah L. Diamond, Matthew Yeh, Sajida Hassan, Janine T. Bryan, Jorge D. Reyes, James D. Perkins

“…Microarray analysis containing more than 29,000 known genes was performed on formalin-fixed-paraffin-embedded (FFPE) liver tissue from explanted livers. …”
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Metastatic melanoma: An integrated analysis to identify critical regulators associated with prognosis, pathogenesis and targeted therapies. by Zeinab Chaharlashkar, Yousof Saeedi Honar, Meghdad Abdollahpour-Alitappeh, Sepideh Parvizpour, Abolfazl Barzegar, Effat Alizadeh

“…We conducted an integrated analysis to identify critical regulators associated with the prognosis, pathogenesis, and targeted therapies of metastatic-melanoma. A microarray dataset, GSE15605, including 12 metastatic-melanoma and sixteen normal skin (NS) samples, were obtained from the GEO database. …”
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MicroRNA controlled adenovirus mediates anti-cancer efficacy without affecting endogenous microRNA activity. by Ryan Cawood, Suet-Ling Wong, Ying Di, Dilair F Baban, Leonard W Seymour

“…These were then filtered to select mRNAs that were only altered by Ad5mir122 and the remaining 21 mRNAs were compared to predicted mir122 targets. …”
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Prolonged application of high fluid shear to chondrocytes recapitulates gene expression profiles associated with osteoarthritis. by Fei Zhu, Pu Wang, Norman H Lee, Mary B Goldring, Konstantinos Konstantopoulos

“…Confirmation of the expression patterns of select genes was obtained by qRT-PCR. Using significance analysis of microarrays with a 5% false discovery rate, 71 and 60 non-redundant transcripts were identified to be ≥2-fold up-regulated and ≤0.6-fold down-regulated, respectively, in sheared chondrocytes. …”
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Early Regulation of Profibrotic Genes in Primary Human Cardiac Myocytes by Trypanosoma cruzi. by Aniekanabassi N Udoko, Candice A Johnson, Andrey Dykan, Girish Rachakonda, Fernando Villalta, Sammed N Mandape, Maria F Lima, Siddharth Pratap, Pius N Nde

“…The transcriptome microarray data, validated by quantitative Real-Time PCR, was also confirmed by immunoblotting and customized Enzyme Linked Immunosorbent Assays (ELISA) array showing significant increases in the protein expression levels of fibrogenic EGR1, SNAI1 and IL 6. …”
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Stroma regulates increased epithelial lateral cell adhesion in 3D culture: a role for actin/cadherin dynamics. by Karen F Chambers, Joanna F Pearson, Naveed Aziz, Peter O'Toole, David Garrod, Shona H Lang

“…The upregulated growth factors TGFβ2, CXCL12 and FGF10 were selected for further analysis because of previous associations with morphology. …”
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HSPA6 augments garlic extract-induced inhibition of proliferation, migration, and invasion of bladder cancer EJ cells; Implication for cell cycle dysregulation, signaling pathway a... by Seung-Shick Shin, Jun-Hui Song, Byungdoo Hwang, Dae-Hwa Noh, Sung Lyea Park, Won Tae Kim, Sung-Soo Park, Wun-Jae Kim, Sung-Kwon Moon

“…In addition, GE impeded the migration and invasion of EJ cells via inhibition of MMP-9 expression followed by decreased binding activities of AP-1, Sp-1, and NF-κB motifs. Based on microarray datasets, we selected Heat shock protein A6 (HSPA6) as the most up-regulated gene responsible for the inhibitory effects of GE. …”
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Identification of novel androgen-regulated pathways and mRNA isoforms through genome-wide exon-specific profiling of the LNCaP transcriptome. by Prabhakar Rajan, Caroline Dalgliesh, Phillippa J Carling, Thomas Buist, Chaolin Zhang, Sushma N Grellscheid, Kelly Armstrong, Jacqueline Stockley, Cedric Simillion, Luke Gaughan, Gabriela Kalna, Michael Q Zhang, Craig N Robson, Hing Y Leung, David J Elliott

“…Androgens drive the onset and progression of prostate cancer (PCa) by modulating androgen receptor (AR) transcriptional activity. Although several microarray-based studies have identified androgen-regulated genes, here we identify in-parallel global androgen-dependent changes in both gene and alternative mRNA isoform expression by exon-level analyses of the LNCaP transcriptome. …”
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Exploring the predictive values of SERP4 and FRZB in dilated cardiomyopathy based on an integrated analysis by Bin Qi, Hai-Yan Wang, Xiao Ma, Yu-Feng Chi, Chun Gui

“…Methods Five DCM-related microarray datasets were downloaded from the Gene Expression Omnibus (GEO). …”
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Examination of the functions and mechanism of KCP in mediating paclitaxel resistance in cervical squamous carcinoma cells by Yue He, Jian-Qing Xu, Jing-Jing Zhang, Zhen-You Liu, Chen Ji, Yang Liu, Yun-Fan Wang, Ming Wang, Yu-Mei Wu, Yan Wang

“…Key cell functions were assessed by colony formation assay, measurement of cell proliferation by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, and FACS-based detection of apoptosis. The downstream mechanism of KCP-mediated resistance to paclitaxel was then examined using human gene chip detection and IPA bioinformatics analysis, and qPCR analysis was used to validate its downstream genes.Results①Functional studies of SiHa cells showed that KCP knockout (sgRNA) inhibited colony formation and proliferation of SiHa cells in the presence of paclitaxel (p<0.05). ②Using a whole human genome microarray, a total of 491 differentially expressed genes were identified in KCP knockout versus the NC SiHa cells. …”
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Identification of Novel Biomarkers in Huntington’s Disease Based on Differential Gene Expression Meta-Analysis and Machine Learning Approach by Nayan Dash, Md Abul Bashar, Jeonghan Lee, Raju Dash

“…Therefore, to discover the key biomarkers associated with the progression of HD, we employed bioinformatics and machine learning (ML) to create a robust pipeline that integrated differentially expressed gene (DEG) analysis with ML to select potential biomarkers. We performed a meta-analysis to identify DEGs using three Gene Expression Omnibus (GEO) microarray datasets from different platforms related to HD-affected brain tissue, applying both relaxed and strict criteria to identify differentially expressed genes. …”
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Circulating exosomal microRNAs as biomarkers of colon cancer. by Hiroko Ogata-Kawata, Masashi Izumiya, Daisuke Kurioka, Yoshitaka Honma, Yasuhide Yamada, Koh Furuta, Toshiaki Gunji, Hideki Ohta, Hiroyuki Okamoto, Hikaru Sonoda, Masatoshi Watanabe, Hitoshi Nakagama, Jun Yokota, Takashi Kohno, Naoto Tsuchiya

“…<h4>Experimental design</h4>Microarray analyses of miRNAs in exosome-enriched fractions of serum samples from 88 primary CRC patients and 11 healthy controls were performed. …”
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Pan-cancer analysis identifies CD155 as a promising target for CAR-T cell therapy by Xiaohong Liu, Yue Sun, Boxu Lin, Hao Xiong, Xinyue Lu, Binghe Tan, Chenglin Zhang, Mingyao Liu, Juliang Qin, Na Zhang, Bing Du

“…Conclusions Our study demonstrates that CD155 is selectively expressed in cancer cells while being rarely detected in normal tissues, and may serve as a promising pan-cancer target for CAR-T therapy. …”
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Integrated bioinformatic analysis of the shared molecular mechanisms between ANCA-associated vasculitis and atherosclerosis by Xun Hu, Inmaculada Xu Lou, Qilan Chen

“…This study aims to explore the mechanisms underlying the concurrent occurrence of ANCA and AS. Methods Microarray data of AAV and AS were examined in a comprehensive gene expression database. …”
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Comparison of monocyte gene expression among patients with neurocysticercosis-associated epilepsy, Idiopathic Epilepsy and idiopathic headaches in India. by Vasudevan Prabhakaran, Douglas A Drevets, Govindan Ramajayam, Josephine J Manoj, Michael P Anderson, Jay S Hanas, Vedantam Rajshekhar, Anna Oommen, Hélène Carabin

“…Fifteen genes up-regulated in NCC patients compared with other groups were selected based on possible relevance to NCC, and analyzed by qPCR in all patients' samples. …”
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Research on the diagnosis model of osteoarthritis based on methylation-related genes using machine learning algorithms by Xu Cui, Houlin Ji, Shengyang Guo, Ju Liu, Linyuan Zhang, Yongwei Jia, Yin Cui, Xiaoxiao Zhou

“…Genes were selected through SVM-RFE analysis and LASSO regression model, and a diagnostic model for OA was established. …”
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An Immune-Related Prognostic Classifier Is Associated with Diffuse Large B Cell Lymphoma Microenvironment by Xiao-Jie Liang, Rui-ying Fu, He-nan Wang, Jing Yang, Na Yao, Xin-di Liu, Liang Wang

“…We systematically searched for DLBCL gene expression microarray datasets from the GEO database. Immune-related genes (IRGs) were obtained from the ImmPort database, and 318 transcription factor (TF) targets in cancer were retrieved from the Cistrome Cancer database. …”
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MiR-25-3p regulates pulmonary arteriovenous malformation after Glenn procedure in patients with univentricular heart via the PHLPP2-HIF-1α axis by Junpei Kawamura, Munekazu Yamakuchi, Kentaro Ueno, Teruto Hashiguchi, Yasuhiro Okamoto

“…Abstract The detailed mechanism of pulmonary arteriovenous malformations after Glenn surgery (G-PAVMs) in cyanotic congenital heart disease (CHD) remains unclear. Microarray in situ hybridization was performed to assess the miRNA (miRNA) profiles of serum from pediatric patients (0–6 years of age) with G-PAVMs and after the Fontan procedure without G-PAVMs. …”
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Stromal expression of decorin, Semaphorin6D, SPARC, Sprouty1 and Tsukushi in developing prostate and decreased levels of decorin in prostate cancer. by Alexander Henke, O Cathal Grace, George R Ashley, Grant D Stewart, Antony C P Riddick, Henry Yeun, Marie O'Donnell, Richard A Anderson, Axel A Thomson

“…<h4>Methodology and principal findings</h4>Five candidate molecules identified by transcript profiling of developmental prostate mesenchyme were selected using a wholemount in situ hybridisation screen and studied Decorin (Dcn), Semaphorin6D (Sema6D), SPARC/Osteonectin (SPARC), Sprouty1 (Spry-1) and Tsukushi (Tsku). …”
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Temporal Expression of Peripheral Blood Leukocyte Biomarkers in a Macaca fascicularis Infection Model of Tuberculosis; Comparison with Human Datasets and Analysis with Parametric/N... by Sajid Javed, Leanne Marsay, Alice Wareham, Kuiama S Lewandowski, Ann Williams, Michael J Dennis, Sally Sharpe, Richard Vipond, Nigel Silman, Graham Ball, Karen E Kempsell

“…Further data refinements identified groups of key markers showing group-specific expression patterns, with a substantial reprogramming event evident at the four to six week interval. Selected statistically-significant gene entities from this study and other immune and apoptotic markers were validated using qPCR, which confirmed many of the results obtained using microarray hybridisation. …”
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