ARHGAP42 promotes cell migration and invasion involving PI3K/Akt signaling pathway in nasopharyngeal carcinoma by Qian Hu, Xiao Lin, Linxiaoxiao Ding, Yinduo Zeng, Danmei Pang, Nengtai Ouyang, Yanqun Xiang, Herui Yao

“…Western blot and immunohistochemical staining were used for detecting the expression of ARHGAP42 protein in nasopharyngeal carcinoma tissues and cell lines. …”
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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

“…Despite several attempts, the molecular pathways of TNBC remain unknown, posing a significant clinical barrier in the search for viable targets. 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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Early diagnosis of acute myocardial infarction via hub genes identified by integrated weighted gene co-expression network analysis by Kun Huang, Feng Wen, Jingyi Li, Wenhao Niu, Hui Chen, Shilei Wan, Fupeng Yang, Yihong Chen, Chun Liang

“…Diagnostic biomarkers were selected and identified using three machine learning algorithms. …”
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KRT6A, KRT6B, PKP1, and PKP3 as key hub genes in esophageal cancer: A combined bioinformatics and experimental study by Shayan Marhamati, Morvarid Hamrahjoo, Zeinab Seyedkhan, Mahdi Bahmani, Nasrin Ziamajidi, Iraj Khodadadi, Mohadese Pouryani, Roghayeh Abbasalipourkabir

“…In this study, we downloaded the microarray datasets GSE157808 and GSE92396 from the Gene Expression Omnibus (GEO). …”
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Expression and prognostic significance of MLH1 and GPRC5C in resectable hepatocellular carcinoma by Jun Lu, Lei Li, Qing Chen, Bingqi Li, Siqian Ren, Meng Yuan, Meng Meng, Jian Lei, Yuntao Bing, Hangyan Wang, Zhaolai Ma, Dianrong Xiu, Chunhui Yuan

“…However, their expression and prognostic significance in hepatocellular carcinoma (HCC) has not been elucidated, especially for GPRC5C. Methods We detected MLH1 and GPRC5C expression using the tissue microarray-based immunohistochemical staining in tumor and matched adjacent non-tumor liver (ANL) specimens from 230 patients who underwent radical resection for HCC. …”
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Overexpression of cyclin‐dependent kinase 1 in esophageal squamous cell carcinoma and its clinical significance by Han‐Jie Zhang, Gang Chen, Shang‐Wei Chen, Zong‐Wang Fu, Hua‐Fu Zhou, Zhen‐Bo Feng, Jun‐Xian Mo, Chang‐Bo Li, Jun Liu

“…Microarray and external RNA‐seq data from 664 cases of ESCC and 1733 cases of control tissues were used to verify the difference in CDK1 expression between the two groups. …”
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Maternal plasma cell-free DNA nucleosome footprints can reveal changes in gene expression profiles during pregnancy and pre-eclampsia by Kun Li, Zhiwei Guo, Fenxia Li, Shijing Lu, Min Zhang, Xingyu Wei, Chao Sheng, Wenbo Hao, Xuexi Yang

“…These results are consistent with prior microarray and RNA-sequencing data. Conclusions The depth of the cfDNA nucleosome footprint in maternal plasma can be used to reflect changes in the gene expression profile during pregnancy and pre-eclampsia. …”
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Diverse regulated cell death patterns and immune traits in kidney allograft with fibrosis: a prediction of renal allograft failure based on machine learning, single-nucleus RNA seq... by Yuqing Li, Jiandong Zhang, Xuemeng Qiu, Yifei Zhang, Jiyue Wu, Qing Bi, Zejia Sun, Wei Wang

“…A 9-gene signature, termed RCD risk score (RCDI), was constructed using the least absolute shrinkage and selection operator and multivariate Cox regression algorithms. …”
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The potential crosstalk genes and molecular mechanisms between systemic lupus erythematosus and periodontitis by Kai Zhao, Xiaolong Li, Qingmiao Zhu, Mengyu Zhu, Jinge Huang, Ting Zhao

“…Random forest (RF) and Least Absolute Shrinkage and Selection Operator (Lasso) regression were employed to identify key hub genes. …”
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Genome-wide analysis in the search for candidate genes associated with meat productivity traits in meat-and-dairy goats by M. I. Selionova, A.-M. M. Aibazov, A. A. Sermyagin, A. A. Belous, N. A. Zinovieva

“…GWAS analysis using Goat 50K BeadChip high-density DNA microarray determined a genome-wide level of significance for six SNPs located on chromosomes 5, 6, 10 and 16 associated with the live weight of young animals (4 and 8 months old). …”
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Spatial transcriptomic characteristics of gastric cancer in young and the expression and role of TMEM176B in gastric cancer cells by Zhenhua Jiang, Yongfeng Wang, Chi Zhang, Shuangyin Han

“…Methods The surgical specimens of six patients with GCY were included to construct a tissue microarray containing the tumor core region (TCR), cancer-adjacent tissue (CAT), and normal gastric tissue (NGT). …”
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Screening of endoplasmic reticulum stress characteristic genes and immune infiltration manifestations in chronic obstructive pulmonary disease by ZHANG Shuang, LUO Chenyang, HE Zhiyi

“…At the same time, co-expressed mRNA and miRNA were selected to construct the mRNA-miRNA interaction network. …”
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Comprehensive bioinformatics analysis identifies hub genes associated with immune cell infiltration in early-onset schizophrenia by Shasha Wu, Tailian Xue, Yilin Li, Weikang Chen, Yan Ren

“…Methods In this study, we recruited 26 EOS patients and 27 healthy controls (HCs), and microarray data were collected. Crossover genes were identified using weighted gene co-expression network analysis (WGCNA) and differential expression genes (DEGs) analysis. …”
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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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Noninvasive prediction of fetal growth restriction using maternal plasma cell-free RNA: a case-control study by Yihong Huang, Ruizhi Wang, Lixia Shen, Lingyi Kong, Peisong Chen, Zilian Wang, Zhuyu Li

“…The least absolute shrinkage and selection operator regression was used to select the hub genes from the cell-free RNA DEGs. …”
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Mechanism of immune escape mediated by receptor tyrosine kinase KIT in thyroid cancer by Zhen Luo, Jin Xu, Dayong Xu, Jiaojiao Xu, Rongjun Zhou, Keping Deng, Zheng Chen, Fang Zou, Libo Yao, Yuqin Hu

“…Methods The expression microarray of TC was acquired through the GEO database, and the difference analysis and Kyoto encyclopedia of genes and genomes pathway enrichment analysis were carried out. …”
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Penaeus vannamei Genetic Evaluation for Growth and Survival Traits During White Spot Syndrome Virus Infection Based on 55K SNP Chip by Yijing HE, Mianyu LIU, Sheng LUAN, Jie KONG, Xupeng LI, Baoxiang CAO, Kun LUO, Jian TAN, Jiawang CAO, Ping DAI, Guangfeng QIANG, Zhaoxin WANG, Juan SUI, Xianhong MENG

“…Based on the survival time of individual resistance to WSSV within the family line, 590 individuals were uniformly selected and typed using 55K SNP liquid-phase microarrays to obtain genotypic data for certain individuals. …”
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Linking oxysterols and different stages of mild cognitive impairment: insights from gut metabolites and N6-methyladenosine by Wenjing Feng, Mengwei Ju, Tao Wang, Shanshan Cui, Kexin Yang, Zhiting Guo, Miao Liu, Jiaxuan Tao, Huiyan Yu, Rong Xiao

“…Methods Liquid chromatography-mass spectrometry, untargeted metabolomic analysis, and m6A mRNA Epitranscriptomic Microarray were used to detect the characteristics of serum oxysterols (n = 35/group), fecal gut metabolites (n = 30/group), and m6A in whole blood (n = 4/group) respectively. …”
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Associations between pathophysiological traits and symptom development in retrospective analysis of V30M and V122I transthyretin amyloidosis by Sameer U. Kini, Ha My Thi Vy, Madhav Subramanian, Parasuram M. Krishnamoorthy, Son Q. Duong, Ghislain Rocheleau, Jagat Narula, Ron Do, Girish N. Nadkarni

“…This retrospective analysis of microarray and biobank data helped establish clinical biomarkers for early hATTR detection. …”
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Radiation suppresses liver metastases via exosome secretion in pancreatic cancer cells by Ai Nakaoka, Mohammed Salah, Zhangzhu Ruixian, Makiko Nakahana, Yasuyuki Shimizu, Qin Qin, Qu Zhang, Naritoshi Mukumoto, Kana Kobayashi, Yukihiro Ikegaki, Hiroaki Akasaka, Sachiko Inubushi, Yu-ichiro Koma, Takeaki Ishihara, Daisuke Miyawaki, Takashi Sasayama, Ryohei Sasaki

“…Additionally, IR-Exos prevented liver metastasis induced by MIAPaCa-2 cells in vivo We detected 2,565 miRNAs in exosomes in a microarray. …”
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