Inhibitory Effect of PRMT5/MTA Inhibitor on MTAP‐Deficient Glioma May Be Influenced by Surrounding Normal Cells by Yunjie Wang, Xiaohui Sun, Runchen Ma, Xiaofan Zhang, Shengmin Ji, Zhaofeng Liu, Gangqiang Yang, Hongbo Wang, Peng Zhang, Jianzhao Zhang, Jingwei Tian

“…Methods We first analyzed whether there were MTAP‐expressing normal intracerebral cells around MTAP‐deficient glioma tissues by paraffin‐embedded tissue microarray of human glioma specimens. …”
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miR-361-5p contributes to the pathogenesis of Alzheimer’s disease by Abbas Jalaiei, Jalal Gharesouran, Shahram Arsang-Jang, Mahnaz Talebi, Maryam Rezazadeh, Soudeh Ghafouri-Fard

“…This study investigated the roles of HOMER1, ATAD1, and miR-361 in AD pathogenesis using microarray (GSE106241, GSE157239; n = 60) and RT-PCR (n = 100; 50 AD patients, 50 controls from Northwest Iran) analyses. …”
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Prognostic value of immune biomarkers in melanoma loco-regional metastases. by Emilia Hugdahl, Sura Aziz, Tor A Klingen, Lars A Akslen

“…In a patient series of loco-regional metastases from nodular melanomas (n = 78; n = 26 skin metastases, n = 52 lymph node metastases), expression of PD-L1 in tumour cells and the number of CD3, CD8, FOXP3 and PD-L1 positive TILs were determined by immunohistochemistry on tissue microarray (TMA) slides. Due to limited tumour tissue in the paraffin blocks, 67 of the 78 cases were included for tissue microarrays. …”
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Gene Expression Changes Induced by PPAR Gamma Agonists in Animal and Human Liver by Alexandra Rogue, Catherine Spire, Manuel Brun, Nancy Claude, André Guillouzo

“…Several studies have been conducted using PCR analysis and microarray technology to identify possible target genes and here we review the data obtained from various in vivo and in vitro experimental models. …”
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Endothelial angiogenesis is directed by RUNX1T1-regulated VEGFA, BMP4 and TGF-β2 expression. by Ko-Hsun Liao, Shing-Jyh Chang, Hsin-Chuan Chang, Chen-Li Chien, Tse-Shun Huang, Te-Chia Feng, Wen-Wei Lin, Chuan-Chi Shih, Muh-Hwa Yang, Shung-Haur Yang, Chi-Hung Lin, Wei-Lun Hwang, Oscar K Lee

“…Tissue angiogenesis is intimately regulated during embryogenesis and postnatal development. …”
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Brain gliomas new transcriptomic discoveries from differentially expressed genes to therapeutic targets by Shiwen Pei, Zhiquan Jiang, Hongwei Cheng

“…This study aimed to identify new genetic targets linked to glioma by analyzing microarray datasets to uncover genetic factors involved in its onset and progression. …”
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Differential expression of exosomal microRNAs in prefrontal cortices of schizophrenia and bipolar disorder patients. by Meredith G Banigan, Patricia F Kao, James A Kozubek, Ashley R Winslow, Juan Medina, Joan Costa, Andrea Schmitt, Anja Schneider, Howard Cabral, Ozge Cagsal-Getkin, Charles R Vanderburg, Ivana Delalle

“…Multiple statistical analyses of microarray data suggested that certain exosomal miRNAs were differentially expressed in SZ and BD subjects in comparison to controls. …”
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Inferring pathway activity toward precise disease classification. by Eunjung Lee, Han-Yu Chuang, Jong-Won Kim, Trey Ideker, Doheon Lee

“…The advent of microarray technology has made it possible to classify disease states based on gene expression profiles of patients. …”
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Miz1 deficiency in the mammary gland causes a lactation defect by attenuated Stat5 expression and phosphorylation. by Adrián Sanz-Moreno, David Fuhrmann, Elmar Wolf, Björn von Eyss, Martin Eilers, Hans-Peter Elsässer

“…Conditional knockout of the Miz1 POZ domain in luminal cells during pregnancy caused a lactation defect with a transient reduction of glandular tissue, reduced proliferation and attenuated differentiation. …”
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MicroRNA-520a Suppresses Pathogenesis and Progression of Non-Small-Cell Lung Cancer through Targeting the RRM2/Wnt Axis by Yi Xie, Congyu Xue, Shuai Guo, Lei Yang

“…Differentially expressed miRNAs between tumor tissues and normal tissues were screened using microarrays, and miR-520a was screened to be significantly poorly expressed in tumor samples. …”
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Caveolin-1 in Tumour Cells is Predominately Expressed in the Basal Subtype of Triple-Negative Breast Carcinoma by Savelina Popovska, Ivan Ivanov, Akishi Ooi

“…Triple-negative breast cancer (TNBC) is a subtype of breast cancer which is clinically negative for expression of steroid hormones and HER2 protein. According to DNA microarray profiling, breast cancer was divided into several molecular subgroups, including Luminal A and Luminal B; HER2 overexpressing; normal breast- like and basal-like subtype. …”
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Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides. by Maren Høibø, André Pedersen, Vibeke Grotnes Dale, Sissel Marie Berget, Borgny Ytterhus, Cecilia Lindskog, Elisabeth Wik, Lars A Akslen, Ingerid Reinertsen, Erik Smistad, Marit Valla

“…The sections were derived from four breast cancer cohorts. Tissue microarray cores from a fifth cohort of 21 patients was used as a second test set. …”
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Stabilization of Transcription Factor, HIF-1α by Prolylhydroxylase 1 Knockout Reduces Cardiac Injury After Myocardial Infarction in Mice by Mahesh Thirunavukkarasu, Seetur R. Pradeep, Babatunde Oriowo, Sue Ting Lim, Monica Maloney, Shayan Ahmed, Nicole Taylor, David M. Russell, Pavayee Socrates, Ethan Batko, Matan Berkovsky, John Alexander Palesty, Nilanjana Maulik

“…For microarray analysis, WTMI and PHD1^−/−MI group mices’ heart tissue was used for RNA isolation, then hybridization to a GeneChip™ Mouse Gene 1.0 ST Array as per the manufacturer’s instructions. …”
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Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma by Domenico Pomarico, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti

“…In particular, quantum machine learning shows promising generalization capabilities, which we have exploited in the classification of hepatocellular carcinoma tissue based on microarray gene expressions. By using previously characterized genetic communities, we minimize the computational complexity associated with the number of qubits, enabling the execution of quantum-inspired algorithms on classical machines. …”
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Transcriptional changes during hepatic ischemia-reperfusion in the rat. by Valerie Zabala, Joan M Boylan, Paul Thevenot, Anderson Frank, Dewahar Senthoor, Varun Iyengar, Hannah Kim, Ari Cohen, Philip A Gruppuso, Jennifer A Sanders

“…These tissue autonomous and non-autonomous responses may serve as targets to ameliorate IR injury.…”
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Engineering glycosyltransferases into glycan binding proteins using a mammalian surface display platform by Ryoma Hombu, Lauren E. Beatty, John Tomaszewski, Sheldon Park, Sriram Neelamegham

“…Spectral flow cytometry and tissue microarray analysis using sCore2 reveal distinct cell- and tissue-specific sialyl core-2 staining patterns in human blood cells and paraffin-embedded tissue sections. …”
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Site-specific expression of amine oxidases in breast cancer metastases by Yoon Jin Cha, Woo Hee Jung, Ja Seung Koo

“…We aimed to evaluate the expression of amine oxidase-related proteins in metastatic breast cancer tissue and determine its clinical implication. A tissue microarray was constructed from a total of 126 metastatic breast tumors (31 bone metastases (24.6%), 36 brain metastases (28.6%), 11 liver metastases (8.7%), and 48 lung metastases (38.1%)). …”
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Identification and validation of TSPAN13 as a novel temozolomide resistance-related gene prognostic biomarker in glioblastoma. by Haofei Wang, Zhen Liu, Zesheng Peng, Peng Lv, Peng Fu, Xiaobing Jiang

“…We assessed cell proliferation, migration, and invasion capabilities through in vitro assays (including CCK-8, Edu, wound healing, and transwell assays) and quantitatively analyzed TSPAN13 expression levels in clinical glioma samples using tissue microarray immunohistochemistry. The impact of TSPAN13 on TMZ resistance in GBM cells was validated through in vitro experiments and a mouse orthotopic xenograft model. …”
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TMBIM6 promotes glioma progression according to integrated bioinformatics and experimental evidence by Mst Sahida Khatun, Mohammad Mamun Ur Rashid, Ahsan Ullah, Hyung-Ryong Kim

“…This study investigates TMBIM6’s prognostic value by using data from TCGA (The Cancer Genome Atlas), GEO (Gene Expression Omnibus), and CGGA (Chinese Glioma Genome Atlas) databases, along with histopathological analysis of tissue microarray slide. Survival analysis confirmed the prognostic significance of TMBIM6 in glioma, while co-expression analysis identified positively and negatively correlated genes with TMBIM6, and Enrichment analysis suggested TMBIM6’s association with protein processing in the ER and NOD-like receptor signaling pathways. …”
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Homeostatic imbalance between apoptosis and cell renewal in the liver of premature aging Xpd mice. by Jung Yoon Park, Mi-Ook Cho, Shanique Leonard, Brent Calder, I Saira Mian, Woo Ho Kim, Susan Wijnhoven, Harry van Steeg, James Mitchell, Gijsbertus T J van der Horst, Jan Hoeijmakers, Pinchas Cohen, Jan Vijg, Yousin Suh

“…These results support a general model for premature aging in DNA repair deficient mice based on cellular responses to DNA damage that impair normal tissue homeostasis.…”
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