Bioinformatics methods for identifying differentially expressed genes and signaling pathways in nano-silica stimulated macrophages by Lin Zhang, Changfu Hao, Juan Li, Yaqian Qu, Lei Bao, Yiping Li, Zhongzheng Yue, Miao Zhang, Xinghao Yu, Huiting Chen, Jianhui Zhang, Di Wang, Wu Yao

“…As a result, 1972 differentially expressed genes were identified from 22,690 microarray data in the gene chip, 1069 genes were upregulated and 903 genes were downregulated. …”
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Bioinformatics analysis and experimental validation of potential targets and pathways in chronic kidney disease associated with renal fibrosis by Cui Huimin, Zhao Yuxin, Wang Peng, Gong Wei, Lin Hong, Li Na, Yang Jianjun

“…Method Bioinformatics analysis was used to identify potential targets and pathways in CKD-associated renal fibrosis through randomly obtaining miRNA microarray data related to CKD patients in the Gene Expression Omnibus (GEO) database according to the inclusion and exclusion criteria, conducting pathway enrichment analysis and constructing protein-protein interaction (PPI) networks and miRNA-mRNA network by Cytoscape 3.8.0. …”
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Long non-coding RNA OSTM1-AS1 promotes renal cell carcinoma progression by sponging miR-491-5p and upregulating MMP-9 by Jun-Feng Chen, Sha-Zhou Ye, Ke-Jie Wang, Xiang-yu Meng, Bin-bin Yang, Ke Rong Wu, Qi Ma

“…Hundreds of lncRNAs were known to be abnormally expressed in renal cell carcinoma (RCC) through a lncRNA expression microarray, among which lncRNA OSTM1 antisense RNA 1(OSTM1-AS1) was revealed as one of the most abundant lncRNAs. …”
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Acetylation suppresses breast cancer progression by sustaining CLYBL stability by Xinyue Deng, Chenglong Ma, Xingyu Chen, Ming Yi, Qianhua Cao, Ruocen Liao, Xingyu Lei, Longchang Bai, Bin Zhao, Yingnan Wang, Zhuoyang Shen, Liujing Wu, Chenfang Dong, Zhijun Dai

“…Methods CLYBL expression patterns in breast cancer were assessed using a breast cancer tissue microarray, immunohistochemistry, and publicly available datasets. …”
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Pre-vaccination carriage prevalence of Streptococcus pneumoniae serotypes among internally displaced people in Somaliland: a cross-sectional study by Kevin van Zandvoort, Abdirahman Ibrahim Hassan, Mohamed Omer Bobe, Casey L. Pell, Mohamed Saed Ahmed, Belinda D. Ortika, Saed Ibrahim, Mohamed Ismail Abdi, Mustapha A. Karim, Rosalind M. Eggo, Saleban Yousuf Ali, Jason Hinds, Saeed Mohamood Soleman, Rachael Cummings, Catherine R. McGowan, E. Kim Mulholland, Mohamed Abdi Hergeye, Catherine Satzke, Francesco Checchi, Stefan Flasche

“…We collected nasopharyngeal swab samples from 453 residents which were assessed for presence of pneumococci and serotyped using DNA microarray. Results We found that pneumococcal carriage prevalence was 36% (95%CI 31–40) in all ages, and 70% (95%CI 64–76) in children under 5. …”
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FOXO3a/miR-4259-driven LDHA expression as a key mechanism of gemcitabine sensitivity in pancreatic ductal adenocarcinoma by Tung-Wei Hsu, Wan-Yu Wang, Hsin-An Chen, Tzu-Hsuan Wang, Chih-Ming Su, Po-Hsiang Liao, Alvin Chen, Kuei-Yen Tsai, George Kokotos, Cheng-Chin Kuo, Ching-Feng Chiu, Yen-Hao Su

“…To investigate regulators involved in LDHA-mediated gemcitabine resistance and CSC of pancreatic cancer cells, we further used a combination of the miRNA microarray results and software predictions and confirmed that miR-4259 is a direct target of LDHA by luciferase assay. …”
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Droplets Cas13a‐RPA measurement delineates potential role for plasma circWDR37 in colorectal cancer by Jingsong Xu, Li Cao, Shuang Yang, Ying Jian, Yu Liu, Zhen Shen, Qian Liu, Xiang Chen, Min Li, Shun Li, Xiaolei Zuo, Min Li, Hua Wang

“…The arraystar circRNA microarray assays, functional experiments in vitro and in vivo, and qPCR were performed to discover and validate that circWDR37 is a biomarker for early screening and prognosis evaluation of CRC. …”
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Modulation of homologous recombination gene activity in breast tumor cells in an <i>in vitro</i> model by M. M. Tsyganov, A. A. Frolova, E. A. Kravtsova, I. A. Tsydenova, M. K. Ibragimova

“…To assess the presence of chromosomal aberrations, microarray analysis was performed on DNA chips.Results. …”
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The novel diagnostic markers for systemic lupus erythematosus and periodontal disease by Xuedi Cheng, Jinfeng Zhang, Jiali Hou, Xiaocui Han, Bin Han, Jun Zhou, Zhongjun Wang, Junzheng Wang

“…This study aims to explore common genetic markers in SLE and PD that hold diagnostic and therapeutic implications.MethodsMicroarray datasets for systemic lupus erythematosus (SLE) and periodontal disease (PD) were obtained from the Gene Expression Omnibus (GEO) database. …”
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SAE1 promotes tumor cell malignancy via SUMOylation and liquid–liquid phase separation facilitated nuclear export of p27 by Ling Wang, Jie Min, Jinjun Qian, Xiaofang Huang, Xichao Yu, Yuhao Cao, Shanliang Sun, Mengying Ke, Xinyu Lv, Wenfeng Su, Mengjie Guo, Nianguang Li, Shiqian Qi, Hongming Huang, Chunyan Gu, Ye Yang

“…In this study, we initially used multiple myeloma (MM) as a working model and found that SUMOylation activating enzyme subunit 1 (SAE1) promotes the malignancy of MM. Through proteome microarray analysis, SAE1 was identified as a potential target for bioactive colcemid or its derivative colchicine. …”
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Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function. by Wenbo Tang, Matthew Kowgier, Daan W Loth, María Soler Artigas, Bonnie R Joubert, Emily Hodge, Sina A Gharib, Albert V Smith, Ingo Ruczinski, Vilmundur Gudnason, Rasika A Mathias, Tamara B Harris, Nadia N Hansel, Lenore J Launer, Kathleen C Barnes, Joyanna G Hansen, Eva Albrecht, Melinda C Aldrich, Michael Allerhand, R Graham Barr, Guy G Brusselle, David J Couper, Ivan Curjuric, Gail Davies, Ian J Deary, Josée Dupuis, Tove Fall, Millennia Foy, Nora Franceschini, Wei Gao, Sven Gläser, Xiangjun Gu, Dana B Hancock, Joachim Heinrich, Albert Hofman, Medea Imboden, Erik Ingelsson, Alan James, Stefan Karrasch, Beate Koch, Stephen B Kritchevsky, Ashish Kumar, Lies Lahousse, Guo Li, Lars Lind, Cecilia Lindgren, Yongmei Liu, Kurt Lohman, Thomas Lumley, Wendy L McArdle, Bernd Meibohm, Andrew P Morris, Alanna C Morrison, Bill Musk, Kari E North, Lyle J Palmer, Nicole M Probst-Hensch, Bruce M Psaty, Fernando Rivadeneira, Jerome I Rotter, Holger Schulz, Lewis J Smith, Akshay Sood, John M Starr, David P Strachan, Alexander Teumer, André G Uitterlinden, Henry Völzke, Arend Voorman, Louise V Wain, Martin T Wells, Jemma B Wilk, O Dale Williams, Susan R Heckbert, Bruno H Stricker, Stephanie J London, Myriam Fornage, Martin D Tobin, George T O'Connor, Ian P Hall, Patricia A Cassano

“…Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. …”
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Contribution of cuproptosis and immune-related genes to idiopathic pulmonary fibrosis disease by Chengji Jin, Jia Li, Qiaoyu Li, Lipeng Zhang, Shaomao Zheng, Qiong Feng, Yongjie Li, Yu Zheng, Qiuli Nie, Jin Liang, Jing Wang, Jing Wang

“…Additionally, multiple bioinformatics analyses were employed to identify immune-related biomarkers associated with the diagnosis of IPF, offering valuable insights for future treatment strategies.MethodsFour microarray datasets were selected from the Gene Expression Omnibus (GEO) collection for screening. …”
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circKCNQ5 promotes the proliferation of DNA-methyltransferase 3A R882 mutated acute myeloid leukemia cells by elevating high-mobility group box 1 expression by Yijian Chen, Xiaodan Zhu, Chuanming Lin, Rong Xu, Pengxiang Xu, Liuyan Xin, Lin Li, Liqun Zhang

“…Background Patients with acute myeloid leukemia (AML) harboring the DNA-methyltransferase 3 A (DNMT3A) R882 mutation (DR882MUT) usually have a high recurrence rate and poor prognosis. circKCNQ5 levels were aberrantly elevated in patients with AML according to the microarray platform. Therefore, the purpose of this study is to investigate the effect and mechanism of circKCNQ5 on DR882MUT AML cell proliferation.Methods A DR882MUT cell line model was established. circKCNQ5 expression in AML cells expressing wild-type DNMT3A (DNMT3A-WT) or DR882MUT was analyzed using RT-qPCR. …”
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The NR_109/FUBP1/c-Myc axis regulates TAM polarization and remodels the tumor microenvironment to promote cancer development by Baoen Shan, Cong Zhang, Guogui Sun, Hongtao Zhang, Xiaoya Li, Sisi Wei, Suli Dai, Huixia Wang, Lianmei Zhao

“…Long noncoding RNAs (lncRNAs) have been implicated in various physiological and pathological processes, yet the underlying mechanism on how lncRNAs manipulate the polarization states of TAMs is still unclear and remains to be further investigated.Methods Microarray analyses were employed to characterize the lncRNA profile involved in THP-1-induced M0, M1 and M2-like macrophage. …”
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Evaluating IL22RA1 expression as a predictive indicator in human colon cancer progression by Xuan Yin, Renhao Geng, Junjun Chen, Bin Xu, Hui Ma, Yingting Liu, Xiao Zheng, Lujun Chen

“…Methods In this study, we utilized a multi-color immunohistochemistry (mIHC) assay to examine the expression patterns of IL22RA1, IL22, CD155, and IL22BP in a tissue microarray (TMA) comprising 90 colon cancer samples. …”
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The Correlation Analysis Between m6A Methylation Modification and Ferroptosis Induced by Cigarette Smoke in Human Bronchial Epithelium by Xiaomei Duan, Tingting Hu, Lijuan Xu, Zheng Li, Jing Jing, Dan Xu, Jianbing Ding, Fengsen Li, Min Jiang, Jing Wang

“…In this study, combined with bioinformatics analysis and molecular biology methods we investigated how m6A methylation was correlated to ferroptosis‐associated genes (SLC7A11 and NQO‐1) in cigarette smoke induced 16HBES cells. Methods Two microarray datasets (GSE30063 and GSE64614) were combined to identify differentially expressed genes (DEGs) through the application of bioinformatics techniques. …”
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Identifying critical modules and biomarkers of intervertebral disc degeneration by using weighted gene co‐expression network by Daqian Zhou, Tao Liu, Yongliang Mei, Jiale Lv, Kang Cheng, Weiye Cai, Silong Gao, Daru Guo, Xianping Xie, Zongchao Liu

“…Additionally, we predicted miRNAs involved in hub gene co‐regulation and analyzed miRNA microarray data from GSE116726 to identify four differentially expressed miRNAs. …”
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Molecular Mechanism for PACAP 38-Induced Neurite Outgrowth in PC12 Cells by Junko Shibato, Fumiko Takenoya, Takahiro Hirabayashi, Ai Kimura, Michio Yamashita, Ichiro Takasaki, Randeep Rakwal, Seiji Shioda

“…This study specifically looks into the regulation of PACAP38-induced collapsing response mediator protein 2 (CRMP2) previously identified in a mouse brain ischemia model and which could be recovered by PACAP38 treatment. Previously, DNA microarray analysis revealed that PACAP 38-mediated neuroprotection involved not only CRMP2 but also pathways related to glycogen synthase kinase-3β (GSK-3β) and other signaling components. …”
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Immunopeptidomics identified antigens for mRNA-lipid nanoparticle vaccines with alpha-galactosylceramide in multiple myeloma therapy by Eline Menu, Lorenzo Franceschini, Karin Vanderkerken, Elke De Bruyne, Karine Breckpot, Kim De Veirman, Arne Van der Vreken, Fabien Thery, Chenggong Tu, Kevin Mwangi, Sofie Meulewaeter, Lien De Beck, Edith Janssens, Francis Impens, Rein Verbeke, Ine Lentacker

“…To our knowledge, immunization with messenger RNA (mRNA) and the iNKT agonist, α-galactosylceramide (αGC), has not been studied in MM, as knowledge on clinically relevant antigens in preclinical MM models is lacking.Methods Microarray data and immunopeptidomics (imPep) were used to identify candidate antigens for immunization in 5TMM models. …”
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Investigating the Role of Hub Calcification Proteins in Atherosclerosis via Integrated Transcriptomics and Network-Based Approach by Hajed Obaid A. Alharbi, Asifa Khan, Arshad Husain Rahmani

“…Lastly, AS-specific 3-node miRNA feed-forward loop (FFL) construction and analysis was performed. Microarray datasets GSE43292 and GSE28829 were obtained from gene expression omnibus (GEO). …”
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