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

“…The expression levels of selected long non-coding RNAs were validated by quantitative reverse transcription polymerase chain reaction. …”
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Impact of Drp1 Loss on Organelle Interaction, Metabolism, and Inflammation in Mouse Liver by Lixiang Wang, Seiji Nomura, Nao Hasuzawa, Sadaki Yokota, Ayako Nagayama, Kenji Ashida, Junjiro Rikitake, Yoshinori Moriyama, Masatoshi Nomura, Ken Yamamoto

“…Through mass spectrometry and microarray analysis, we identified changes in lipid profiles and perturbed expression of lipid metabolism genes in the livers of <i>Drp1</i>LiKO mice. …”
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RNase 7 and Th cytokines synergistically increase the secretion of interleukin-6 from keratinocytes by Shruti Chopra, Janine Siegl, Verena Kopfnagel, Sylvia Dreyer, Franziska Rademacher, Juliane Lokau, Christoph Garbers, Jürgen Harder, Thomas Werfel, Katinka Döhner

“…Here, we performed mRNA microarray analysis to study the influence of R7 on gene expression in human keratinocytes. …”
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SPARC Promotes Aerobic Glycolysis and 5‐Fluorouracil Resistance in Colorectal Cancer Through the STAT3/HK2 Axis by Jingrong Xiang, Huan Zhang, Kanger Shen, Jie Feng, Kexi Yang, Tongguo Shi, Qinhua Xi

“…Methods Firstly, Secreted protein acidic and rich in cysteine (SPARC) expression and prognosis in CRC clinical samples were investigated using tissue microarray (TMAs) and GEPIA databases. Subsequently in vitro, SPARC knockdown or overexpression was used to explore the role of SPARC in 5‐fluorouracil (5‐FU) resistance in CRC cell lines. …”
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Thymidine Kinase 1 Expression Correlates with Tumor Aggressiveness and Metastatic Potential in OSCC by Chia-Jung Lee, Pei-Wen Peng, Chia-Yu Wu, Tsung-Ming Chang, Ju-Fang Liu, Kuan-Chou Lin

“…<b>Methods:</b> To identify key molecular drivers in OSCC, we performed an integrative bioinformatics analysis of five OSCC-related microarray datasets from the Gene Expression Omnibus (GEO). …”
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Long-Term Aerobic Exercise Enhances Hepatoprotection in MAFLD by Modulating Exosomal miR-324 via ROCK1 by Yang Zhang, Qiangman Wei, Xue Geng, Guoliang Fang

“…Co-culture experiments evaluated the effects of exercise-derived exosomes on IR signaling pathways. miRNA microarray analysis identified miR-324, which was quantified in high-fat diet (HFD) mice with and without exercise and compared between athletes and sedentary controls. …”
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Regulation of p53 and Rb links the alternative NF-κB pathway to EZH2 expression and cell senescence. by Alessio Iannetti, Adeline C Ledoux, Susan J Tudhope, Hélène Sellier, Bo Zhao, Sophia Mowla, Adam Moore, Holger Hummerich, Benjamin E Gewurz, Simon J Cockell, Parmjit S Jat, Elaine Willmore, Neil D Perkins

“…Moreover, our ChIP analysis demonstrates that EZH2 is also a direct NF-κB target gene. Microarray analysis revealed that in fibroblasts, EZH2 antagonizes a subset of p53 target genes previously associated with the senescent cell phenotype, including DEK and RacGAP1. …”
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mRNA-lncRNA gene expression signature in HPV-associated neoplasia and cervical cancer by E. D. Kulaeva, E. S. Muzlaeva, E. V. Mashkina

“…Validation on an independent microarray dataset showed that the differential expression patterns of the CDKN2A and SLC27A6 genes were conserved in the respective gene expression comparisons between groups.…”
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Experimental study on the role and biomarker potential of CX3CR1 in osteoarthritis by Junpu Huang, Xifan Zheng, Jinzhi Meng, Hongtao Wang, Lingyun Chen, Jun Yao

“…This study aimed to identify OA-associated genes and elucidate the molecular pathways implicated, with the goal of discovering reliable diagnostic biomarkers.Methods The microarray dataset was retrieved from the Gene Expression Omnibus (GEO) and analyzed using R software to identify the signature gene, CX3CR1. …”
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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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Integrated Genome-Wide Analysis of Gene Expression and DNA Copy Number Variations Highlights Stem Cell-Related Pathways in Small Cell Esophageal Carcinoma by Di Liu, Xinyan Xu, Junmiao Wen, Liyi Xie, Junhua Zhang, Yuxin Shen, Guoliang Jiang, Jiayan Chen, Min Fan

“…In order to elucidate the effect of CNV on mRNA expression, we integrated the genome-wide copy number data and gene expression in 3 paired samples. …”
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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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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

“…Three of the six SNPs within the ± 200 kb region were localized to HMGA2, CRADD, and MAX genes. These genes were selected to study the meat productivity traits of young goats with different genotypes. …”
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Prevalence and Diversity of <i>Staphylococcus aureus</i> in Bulk Tank Milk from Community-Based Alpine Dairy Pastures in Tyrol, Austria by Nasrin Ramezanigardaloud, Igor Loncaric, Patrick Mikuni-Mester, Masoumeh Alinaghi, Monika Ehling-Schulz, Johannes Lorenz Khol, Tom Grunert

“…A total of 140 isolates collected from the 94 <i>S. aureus</i>-positive community-based Alpine dairy pastures revealed 33 distinct <i>spa</i> types, with t2953 (<i>n</i> = 33), t529 (<i>n</i> = 12), t267 (<i>n</i> = 11), and t024 (<i>n</i> = 10) being the most common. Selected isolates representing the different <i>spa</i> types were characterised by DNA microarray-based genotyping, multi-locus sequence typing (MLST), and antimicrobial susceptibility testing. …”
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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

“…Subsequently, a PPI network was constructed to select the top 10 potential hub genes, and functional analysis was performed by GeneMANIA, resulting in the identification of four immune-related genes. …”
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Myogenic IGFBP5 levels in rhabdomyosarcoma are nourished by mesenchymal stromal cells and regulate growth arrest and apoptosis by Yue Zhang, Karim Katkhada, Liu Zhen Meng, Binbin Zhao, Shanlin Tong, Wiem Chaabane, Aditi Kallai, Nicholas P. Tobin, Arne Östman, Alessandro Mega, Monika Ehnman

“…High resolution microarray-based Clariom D gene expression analysis identified insulin-like growth factor binding protein 5 (IGFBP5) as the top upregulated gene in RMS cells exposed to naïve stromal cells, and effects on growth arrest, caspase 3/7 activation, and myogenic cell identity were demonstrated in functional assays. …”
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Coexpression within Integrated Mitochondrial Pathways Reveals Different Networks in Normal and Chemically Treated Transcriptomes by Cong Chen, Tae Kyung Hyun, Xiao Han, Zhihui Feng, Yuan Li, Xiaolong Liu, Jiankang Liu

“…In this study, we construct coexpression networks based on microarray datasets from different tissues and chemical treatments to explore the role of integrated MRCs in the coexpression network and the effects of different chemicals on the mitochondrial network. …”
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Brachyury promotes proliferation and migration of colorectal cancer cells by targeting MMP14 by Ming Chen, Huiheng Qu, Xiao Liang, Ying Huang, Zhengjie Yang, Pei Lu, Keqin Shi, Peng Chen, Yanjing Zhang, Hui Zhou, Jiazeng Xia, Jun Shen

“…Although the transcription factor, Brachyury is intricately linked with various clinical malignancies, the mechanisms by which it influences CRC cell proliferation and migration are inadequately understood. Methods Tissue microarray was used to evaluate Brachyury expression in CRC and adjacent normal tissues. …”
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HVEM as a tumor-intrinsic regulator in non-small cell lung cancer: Suppression of metastasis via glycolysis inhibition and modulation of macrophage polarization by Yuanshan Yao, Bin Li, Chunji Chen, Jing Wang, Feng Yao, Zhigang Li

“…In this study, We demonstrated that CK+HVEM+ tumor correlates with better survival using Multiplex immuno histochemistry (mIHC) in Human Lung Adenocarcinoma Tissue microarray. Next, we showed that HVEM knockdown promoted NSCLC cell invasion and metastasis in vitro whereas exhibited no effect on proliferation. …”
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