Bioinformatics meets machine learning: identifying circulating biomarkers for vitiligo across blood and tissues by Qiyu Wang, Jingwei Yuan, Jingwei Yuan, Mengdi Zhang, Haiyan Jia, Hongjie Lu, Yan Wu

“…DEGs selected with the limma package and module genes derived from the WGCNA were intersected using the Venn package in R. …”
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CD155 blockade enhances allogeneic natural killer cell-mediated antitumor response against osteosarcoma by Lei Shi, Christian M Capitini, Amy K Erbe, Fernanda Szewc, Longzhen Song, Matthew H Forsberg, David P Turicek, Paul D Bates, Devin M Burpee, Aicha E Quamine, Johnathan D Ebben, Jillian M Kline, Emily O Lafeber, Madison F Phillips, Monica M Cho, Amanda S Ceas, John A Kink

“…Mice bearing pulmonary OS metastases underwent alloBMT and alloNK cell infusion with anti-CD155 either before or after tumor induction, with select groups receiving anti-DNAM-1 pretreated alloNK cells. …”
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Maternal bisphenol a exposure impacts the fetal heart transcriptome. by Kalyan C Chapalamadugu, Catherine A Vandevoort, Matthew L Settles, Barrie D Robison, Gordon K Murdoch

“…At the end of treatment, fetal heart tissues were collected and chamber specific transcriptome expression was assessed using genome-wide microarray. Quantitative real-time PCR was conducted on select genes and ventricular tissue glycogen content was quantified. …”
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RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

“…This study primarily uses a unique dataset painstakingly selected from 20 esteemed medical institutes. The dataset includes a wide range of images, such as tissue microarray (TMA) images at 40× magnification and whole-slide images (WSI) at 20× magnification. …”
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MicroRNA biomarkers of type 2 diabetes: A protocol for corroborating evidence by computational genomics and meta-analyses. by Hongmei Zhu, Siu-Wai Leung

“…Biologically relevant microRNAs will then be selected through genomic database corroboration. Their association with T2D is further measured by area under the curve (AUC) of receive operating characteristic (ROC). …”
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Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS by Iwona Stelniec‐Klotz, Stefan Legewie, Oleg Tchernitsa, Franziska Witzel, Bertram Klinger, Christine Sers, Hanspeter Herzel, Nils Blüthgen, Reinhold Schäfer

“…We measured mRNA and protein levels in manipulated cells by microarray, RT–PCR and western blot analysis, respectively. …”
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Cysteine‐rich intestinal protein 1 enhances the progression of hepatocellular carcinoma via Ras signaling by Hong‐Yu He, Li Hu

“…To further evaluate whether CRIP1 interacts with Ras, a specific siRNA targeting Ras was selected. We found that Ras knockdown reduced the activation of Ras/AKT signaling even in HepG2 cells transfected with CRIP1. …”
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Maternal cocaine administration in mice alters DNA methylation and gene expression in hippocampal neurons of neonatal and prepubertal offspring. by Svetlana I Novikova, Fang He, Jie Bai, Nicholas J Cutrufello, Michael S Lidow, Ashiwel S Undieh

“…Endogenous expression of selected genes linked to the abnormally methylated CGIs was correspondingly decreased or increased by as much as 4-19-fold. …”
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Genetic variation and antioxidant response gene expression in the bronchial airway epithelium of smokers at risk for lung cancer. by Xuting Wang, Brian N Chorley, Gary S Pittman, Steven R Kleeberger, John Brothers, Gang Liu, Avrum Spira, Douglas A Bell

“…Prior microarray studies of smokers at high risk for lung cancer have demonstrated that heterogeneity in bronchial airway epithelial cell gene expression response to smoking can serve as an early diagnostic biomarker for lung 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

“…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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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

“…Specifically, for the diagnostic application, three RNAseq datasets were employed, while for the prognostic application, nine microarray datasets were identified, and 25 previously described genes were validated. …”
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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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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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Aberrant expression of shared master-key genes contributes to the immunopathogenesis in patients with juvenile spondyloarthritis. by Lovro Lamot, Fran Borovecki, Lana Tambic Bukovac, Mandica Vidovic, Marija Perica, Kristina Gotovac, Miroslav Harjacek

“…Microarray results and bioinformatical analysis revealed 745 differentially expressed genes involved in various inflammatory processes, while qRT-PCR analysis of selected genes confirmed data universality and specificity of expression profiles in jSpA patients. …”
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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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Two stable variants of Burkholderia pseudomallei strain MSHR5848 express broadly divergent in vitro phenotypes associated with their virulence differences. by A A Shea, R C Bernhards, C K Cote, C J Chase, J W Koehler, C P Klimko, J T Ladner, D A Rozak, M J Wolcott, D P Fetterer, S J Kern, G I Koroleva, S P Lovett, G F Palacios, R G Toothman, J A Bozue, P L Worsham, S L Welkos

“…Microscopic and colony morphology differences on six differential media were observed and only the Rough variant metabolized sugars in selective agar. Antimicrobial susceptibilities and lipopolysaccharide (LPS) features were characterized and phenotype microarray profiles revealed distinct metabolic and susceptibility disparities between the variants. …”
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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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Characterization of transcriptional changes in ERG rearrangement-positive prostate cancer identifies the regulation of metabolic sensors such as neuropeptide Y. by Petra Massoner, Karl G Kugler, Karin Unterberger, Ruprecht Kuner, Laurin A J Mueller, Maria Fälth, Georg Schäfer, Christof Seifarth, Simone Ecker, Irmgard Verdorfer, Armin Graber, Holger Sültmann, Helmut Klocker

“…Functional analyses do not fully explain the selective pressure causing ERG rearrangement during the development of prostate cancer. …”
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Deep learning-based spatial analysis on tumor and immune cells of pathology images predicts MIBC prognosis. by Chao Hu, Fan Wang, Hui Xu, XiQi Dong, XiuJuan Xiong, Yun Zhang, TianCheng Zhao, YuanQiao He, LiBin Deng, XiongBing Lu

“…Lymph_inside % can be an effective biomarker for predicting MIBC prognosis. …”
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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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