Inference of cell type content from human brain transcriptomic datasets illuminates the effects of age, manner of death, dissection, and psychiatric diagnosis. by Megan Hastings Hagenauer, Anton Schulmann, Jun Z Li, Marquis P Vawter, David M Walsh, Robert C Thompson, Cortney A Turner, William E Bunney, Richard M Myers, Jack D Barchas, Alan F Schatzberg, Stanley J Watson, Huda Akil

“…Using this database, we predicted the relative cell type content for 833 human cortical samples using microarray or RNA-Seq data from the Pritzker Consortium (GSE92538) or publicly-available databases (GSE53987, GSE21935, GSE21138, CommonMind Consortium). …”
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Effects of Benzo[a]Pyrene Exposure on Lung Cancer: A Mechanistic Study of Epigenetic m6A Levels and YTHDF1 by Siyi Xu, Jie Li, Sheng Yang, Panpan Yang, Yiru Niu, Yiling Ge, Geyu Liang

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Limited Effects of an eIF2αS51A Allele on Neurological Impairments in the 5xFAD Mouse Model of Alzheimer’s Disease by Katharina Paesler, Kan Xie, Moritz M. Hettich, Magdalena E. Siwek, Devon P. Ryan, Susanne Schröder, Anna Papazoglou, Karl Broich, Ralf Müller, Astrid Trog, Alexander Garthe, Gerd Kempermann, Marco Weiergräber, Dan Ehninger

“…Increased phosphorylation of eIF2α alters translational control and may thereby have adverse effects on synaptic plasticity, learning, and memory. …”
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The N-6 methyladenosine dynamics in STEMI and the effect of IL-6 inhibition - a hypothesis generating sub-study of the ASSAIL-MI trial by Tuva B. Dahl, Tuva B. Dahl, Ana Quiles-Jiménez, Kaspar Broch, Kaspar Broch, Anne Kristine Anstensrud, Anne Kristine Anstensrud, Lars Gullestad, Lars Gullestad, Lars Gullestad, Geir Ø. Andersen, Geir Ø. Andersen, Ola Kleveland, Jonas Øgaard, Jonas Øgaard, Vigdis Bjerkeli, Vigdis Bjerkeli, Azita Rashidi, Kuan Yang, Kirsten B. Holven, Kirsten B. Holven, Pål Aukrust, Magnar Bjørås, Magnar Bjørås, Camilla Huse, Camilla Huse, Camilla Huse, Bente Halvorsen, Bente Halvorsen

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Integrating network pharmacology, molecular docking and experimental verification to explore the therapeutic effect and potential mechanism of nomilin against triple-negative breas... by Zhixuan Wu, Haoyi Xiang, Xiaowu Wang, Rongrong Zhang, Yangyang Guo, Liangchen Qu, Jingyao Zhou, Yanyi Xiao

“…Conclusion For the first time, the research effectively discovered the objectives and mechanisms of nomilin in combating TNBC using network pharmacology, molecular docking, molecular dynamics simulation, proteome microarray and experimental confirmation, presenting a hopeful approach for treating TNBC. …”
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DETERMINATION OF THE THERAPEUTIC EFFECT OF VULPINIC ACID AND VULPINIC ACID-RESPONSIVE miR-197-3P IN BREAST CANCER TREATMENT BY IN VITRO AND IN VIVO STUDIES by Demet Cansaran Duman

“…Breast cancer is the most common type of cancer in women and an effective treatment method has not been developed yet. …”
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Coordinate Transcriptomic and Metabolomic Effects of the Insulin Sensitizer Rosiglitazone on Fundamental Metabolic Pathways in Liver, Soleus Muscle, and Adipose Tissue in Diabetic... by Sabrina Le Bouter, Marianne Rodriguez, Nolwen Guigal-Stephan, Sophie Courtade-Gaïani, Laura Xuereb, Catherine de Montrion, Vincent Croixmarie, Thierry Umbdenstock, Claire Boursier-Neyret, Michel Lonchampt, Manuel Brun, Catherine Dacquet, Alain Ktorza, Brian-Paul Lockhart, Jean-Pierre Galizzi

“…Rosiglitazone (RSG), developed for the treatment of type 2 diabetes mellitus, is known to have potent effects on carbohydrate and lipid metabolism leading to the improvement of insulin sensitivity in target tissues. …”
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Therapeutic effects of adipose tissue-derived mesenchymal stem cells on ER stress in a murine model of metabolic dysfunction-associated steatohepatitis: an in vivo and in vitro stu... by Norihiko Ogawa, Akihiro Seki, Alessandro Nasti, Ho Yagi, Masatoshi Yamato, Hiiro Inui, Hiroki Nomura, Takuya Komura, Hidetoshi Nakagawa, Kouki Nio, Hajime Takatori, Tetsuro Shimakami, Masao Honda, Shuichi Kaneko, Yoshio Sakai, Taro Yamashita

“…ADSCs were harvested, cultured, and treated to assess their effects on ER stress. In vitro experiments investigated palmitic acid-induced ER stress in hepatocytes and the effects of ADSCs on hepatic stellate cells and inflammatory markers. …”
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RETRACTED ARTICLE: LncRNA HAND2-AS1 exerts anti-oncogenic effects on bladder cancer via restoration of RARB as a sponge of microRNA-146 by Liping Shan, Wei Liu, Yunhong Zhan

“…Methods LncRNA and miRNA microarray was conducted to explore different expressed RNA in primary bladder cancer specimens. …”
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Effect of Garlic Organic Sulfides on Gene Expression Profiling in HepG2 Cells and Its Biological Function Analysis by Ingenuity Pathway Analysis System and Bio-Plex-Based Assays by Chenghao Lv, Caiqiong Wang, Ping Li, Yiwen Huang, Xiangyang Lu, Meng Shi, Chaoxi Zeng, Si Qin

“…The aim of the present study was to investigate the effect of DADS, DATS, and DTS on the gene expression profiling of human hepatocellular carcinoma cells (HepG2) by application of microarray and specialized analysis software, GO, Bio-Plex-based cytokines assay and IPA and analyze their structure-activity relationship according to antioxidant, anti-inflammatory, and metabolic-related properties. …”
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Combined Use of Gene Expression Modeling and siRNA Screening Identifies Genes and Pathways Which Enhance the Activity of Cisplatin When Added at No Effect Levels to Non-Small Cell... by Ada W Y Leung, Stacy S Hung, Ian Backstrom, Daniel Ricaurte, Brian Kwok, Steven Poon, Steven McKinney, Romulo Segovia, Jenna Rawji, Mohammed A Qadir, Samuel Aparicio, Peter C Stirling, Christian Steidl, Marcel B Bally

“…Here, we report on studies designed to uncover how tumour cells respond to sub-lethal doses of cisplatin. A microarray study revealed changes in gene expressions that occurred when A549 cells were exposed to a no-observed-effect level (NOEL) of cisplatin (e.g. the IC10). …”
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Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. by Enrico Glaab, Jaume Bacardit, Jonathan M Garibaldi, Natalio Krasnogor

“…Microarray data analysis has been shown to provide an effective tool for studying cancer and genetic diseases. …”
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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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On-Chip DNA Assembly via Dielectrophoresis by Xichuan Rui, Lin-Sheng Wu, Xin Zhao

“…While there exist several microarray-based oligo synthesis technologies, on-chip gene assembly has yet to be demonstrated. …”
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A Novel Feature Selection Method for Classification of Medical Data Using Filters, Wrappers, and Embedded Approaches by Saba Bashir, Irfan Ullah Khattak, Aihab Khan, Farhan Hassan Khan, Abdullah Gani, Muhammad Shiraz

“…Feature selection is the process of identifying the most relevant features from the given data having a large feature space. Microarray datasets are comprised of high-quality features and very few samples of data. …”
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Sperm associated antigen 9 (SPAG9) a promising therapeutic target of ovarian carcinoma by Nirmala Jagadish, Rukhsar Fatima, Aditi Sharma, Sonika Devi, Vitusha Suri, Vikash Kumar, Anil Suri

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Machine learning-based single-sample molecular classifier for cancer grading by Zoia Antysheva, Nikita Kotlov, Mariia V. Guryleva, Ivan Valiev, Viktor Svekolkin, Anna Belozerova, Sheila T. Yong, Dmitry Tabakov, Alexander Bagaev, Vladimir Kushnarev

“…Next, we showed that mGrades were effective in assessing risk levels for G2 samples. …”
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Gene Expression Profiles for Predicting Metastasis in Breast Cancer: A Cross-Study Comparison of Classification Methods by Mark Burton, Mads Thomassen, Qihua Tan, Torben A. Kruse

“…This study compares the performance of seven classification methods and the effect of voting for predicting metastasis outcome in breast cancer patients, in three situations: within the same dataset or across datasets on similar or dissimilar microarray platforms. …”
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The role of sialyl glycan recognition in host tissue tropism of the avian parasite Eimeria tenella. by Livia Lai, Janene Bumstead, Yan Liu, James Garnett, Maria A Campanero-Rhodes, Damer P Blake, Angelina S Palma, Wengang Chai, David J P Ferguson, Peter Simpson, Ten Feizi, Fiona M Tomley, Stephen Matthews

“…The microarray analyses also reveal a lack of recognition of glycan sequences terminating in the N-glycolyl form of sialic acid by EtMIC3. …”
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Identification of Differentially Expressed Genes and Elucidation of Pathophysiological Relevance of ABCA1 in HaCaT Cells Induced by PM2.5 by Fen Peng, Chen-Hong Xue, Xiao-Jing Yang, Jing-Yi Huang, Zhou Chen, Jian-Zhong Zhang

“…Cell cycle distribution and apoptosis were detected by flow cytometry. Microarray analyses were used to find out the microarray gene expression profiling; data processing included gene enrichment and pathway analysis. …”
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