MicroRNA let-7f protects against H2O2-induced oxidative damage in neuroblastoma cells by targeting AKT-2 by Kuo Li, Zhan-Qiang Wang, Jun-Ling Zhang, Pei-Yuan Lv

“…Material and methods miRNA microarray analysis was performed to detect the miRNAs’ differential expression in AD patients and normal elderly volunteers. …”
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Endoplasmic reticulum stress-related CLIP4 plays a procarcinogenic role in hepatocellular carcinoma: an integrated analysis by Anqi Wang, Sitong Yan, Weijia Jiang, Xiang Chen, Yuhan Huang, Xiangyu Zu, Xiao Du, Lulu Fan, Jiatao Liu, Guoping Sun

“…Methods TCGA public database and a tissue microarray were used to investigate the molecular characteristics of CLIP4 and its association with disease. …”
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Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L. by Izreen Izzati Razalli, Muhammad-Redha Abdullah-Zawawi, Rabiatul Adawiah Zainal Abidin, Sarahani Harun, Muhamad Hafiz Che Othman, Ismanizan Ismail, Zamri Zainal

“…A total of 11, 12, 46, and 14 modules containing 85, 106, 253, and 143 hub genes were detected in drought, salinity, tungro virus, and blast. …”
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Expression and clinical significance of FGL1 and YAP1 in colorectal cancer by LIU Yuanming*，CUI Guangjie，CHEN Jiaqi，LU Yang，GAO Chao

“…<b>Methods</b> Tissue microarray technique was used to detect FGL1 and YAP1 expression in 101 colorectal cancer tissues and 79 adjacent tissues from June 2007 to April 2008. …”
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Multiple-omics analysis of aggrephagy-related cellular patterns and development of an aggrephagy-related signature for hepatocellular carcinoma by Jiafen Xie, Xiaoming Wang

“…Abstract Background Protein aggrephagy, a selected autophagy process response for degrading protein aggregates, plays a critical role in various cancers. …”
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Screening and identification of potential target of 1′-acetoxychavicol acetate (ACA) in acquired lapatinib-resistant breast cancer by Febri Wulandari, Ahmad Fauzi, Muhammad Da'i, Mahmoud Mirzaei, Maryati, Kun Harismah

“…Genomic mutations, expression levels, prognostic significance, and ROC analysis were examined in selected genes. We used AutoDock Vina to conduct ACA molecular docking with potential target genes. …”
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HDAC1 Mediates Immunosuppression of the Tumor Microenvironment in Non-Small Cell Lung Cancer by Fan Y, Ji X, Yuan K, Wu Q, Lou M

“…However, there are no studies on the immunological aspects of HDAC1 in non-small cell lung cancer (NSCLC).Methods: In this research, we used the Cancer Genome Atlas (TCGA) public database combined with tissue microarray (TMA) to investigate HDAC1 expression and prognosis in NSCLC. …”
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Bayesian inference towards the resolution of molecular evolution: application to the “Trichoderma harzianum sensu lato” clade by Druzhinina I S, Kubicek C P

“…The clade containing the ex-neotype strain of T. harzianum included exclusively clonally propagating isolates from temperate climates, and was clearly distinguished from all other “H. lixii/T. harzianum” lineages by multivariate analysis of phenotype microarray data. We propose that only this lineage should be regarded as T. harzianum sensu stricto, and that the other lineages be regarded as T. harzianum sensu lato until phenetic characters have been defined which allow their description as separate taxa.…”
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New Frontiers for the Early Diagnosis of Cancer: Screening miRNAs Through the Lateral Flow Assay Method by Afsaneh Emamiamin, Seyedeh Rojin Shariati Pour, Thea Serra, Donato Calabria, Marta Varone, Fabio Di Nardo, Massimo Guardigli, Laura Anfossi, Claudio Baggiani, Martina Zangheri, Mara Mirasoli

“…This review focuses on LFA-based methods for detecting and quantifying miRNAs associated with the diagnosis of various cancers, with particular emphasis on sensitivity enhancements achieved through the application of different labels and detection systems. …”
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Differentiating Branch Duct and Mixed IPMN in Endoscopically Collected Pancreatic Cyst Fluid via Cytokine Analysis by Linda S. Lee, Andrew M. Bellizzi, Peter A. Banks, Nisha I. Sainani, Vivek Kadiyala, Shadeah Suleiman, Darwin L. Conwell, Joao A. Paulo

“…Eighty-six of 89 IMPs were detected in at least one of the 10 samples. Fourteen IMPs were detected only in mixed IPMN, while none were only in BD-IPMN. …”
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Identification of CD36 as a contributor in inflammatory response of rheumatoid arthritis and screening of feasible bioactive drugs targeting it by Dan Xuan, Xiaowan Wang, Dandan Feng, Li Wang, Yonghui Xia

“…Methods RA-related microarray datasets (GSE77298 and GSE206848) and inflammatory genes (IRGs) were downloaded from Gene Expression Omnibus database and GeneCards database, respectively. …”
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MiR-223-3p regulates erythropoiesis by targeting TGFBR3/Smad signaling pathway in hemoglobin H-Constant Spring disease by Lan Lan, Xinyu Wang, Simeng Zhang, Dan Zeng, Limin Mo, Qiao Feng, Jun Li, Chunjiang Zhu

“…The present study analyzed miRNAs differential expression profile between patients with HbH-CS disease and healthy subjects by Arraystar Human small RNA Microarray.Methods The differential expression profiles of miRNAs between HbH-CS patients and healthy individuals were analyzed using Arraystar human small RNA microarrays. …”
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Patterns of Human Respiratory Viruses and Lack of MERS-Coronavirus in Patients with Acute Upper Respiratory Tract Infections in Southwestern Province of Saudi Arabia by Ahmed A. Abdulhaq, Vinod Kumar Basode, Anwar M. Hashem, Ahmed S. Alshrari, Nassrin A. Badroon, Ahmed M. Hassan, Tagreed L. Alsubhi, Yahia Solan, Saleh Ejeeli, Esam I. Azhar

“…MERS-CoV was not detected in any of the samples. Human rhinovirus (hRV) was the most detected pathogen (40.9%) followed by non-MERS-CoV human coronaviruses (19.3%), influenza (Flu) viruses (15.9%), and human respiratory syncytial virus (hRSV) (13.6%). …”
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Identification and Cross-Platform Validation of Sparse Molecular Classifiers for Antibody-Mediated and T-Cell–Mediated Rejection After Kidney Transplantation by Jasper Callemeyn, Josué Manik Nava-Sedeño, Dany Anglicheau, Jack Beadle, Jan Hinrich Bräsen, Marian C. Clahsen-van Groningen, Iacopo Cristoferi, Henriette de Loor, Andreas Deutsch, Marie Essig, Wilfried Gwinner, Philip F. Halloran, Dennis A. Hesselink, Priyanka Koshy, Dirk Kuypers, Evelyne Lerut, Pierre Marquet, Robert C. Minnee, Candice Roufosse, Ben Sprangers, Amaryllis H. Van Craenenbroeck, Haralampos Hatzikirou, Maarten Naesens

“…Methods: In a discovery cohort of 224 kidney transplant biopsies, lasso regression was applied on microarray gene expression data to derive a molecular classifier for ABMR and TCMR, respectively. …”
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Genome-wide analysis of long non-coding RNA expression and function in colorectal cancer by Fangyuan Jing, Huicheng Jin, Yingying Mao, Yingjun Li, Ye Ding, Chunhong Fan, Kun Chen

“…Long non-coding RNA microarray was applied to investigate the global long non-coding RNA expression profile in colorectal cancer. …”
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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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