High Expression of PDLIM2 Predicts a Poor Prognosis in Prostate Cancer and Is Correlated with Epithelial-Mesenchymal Transition and Immune Cell Infiltration by Songzhe Piao, Lan Zheng, Haihong Zheng, Mengya Zhou, Qin Feng, Suna Zhou, Mang Ke, Haihua Yang, Xuequan Wang

“…The data of RNA-seq, DNA methylation, and clinical features of PRAD patients were collected from The Cancer Genome Atlas (TCGA) database to define the prognostic value of PDLIM gene expression and the association with EMT and immune cell infiltration. A tissue microarray including 134 radical prostatectomy specimens was served as validation by immunohistochemistry (IHC) staining analysis. …”
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Characterization of the OmyY1 Region on the Rainbow Trout Y Chromosome by Ruth B. Phillips, Jenefer J. DeKoning, Joseph P. Brunelli, Joshua J. Faber-Hammond, John D. Hansen, Kris A. Christensen, Suzy C. P. Renn, Gary H. Thorgaard

“…Additional genes were identified by hybridization of the BACs to the cGRASP salmonid 4x44K oligo microarray. By BLASTn evaluations using hypothetical transcripts of OmyY1-linked candidate genes as query against several EST databases, we conclude at least 12 of these candidate genes are likely functional, and expressed.…”
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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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Integrated microRNA and mRNA signatures associated with overall survival in epithelial ovarian cancer. by Joanna Lopacinska-Jørgensen, Douglas V N P Oliveira, Guy Wayne Novotny, Claus K Høgdall, Estrid V Høgdall

“…In this study, we analyzed the correlation between global miRNA and mRNA expression patterns derived from microarray profiling of 197 EOC patients to identify the signatures of miRNA-mRNA interactions associated with overall survival (OS). …”
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Integrative Bioinformatics Analysis Unravel the Association between Intracerebral Hemorrhage and Cellular Apoptosis through Immune Infiltration by Pandi Chen, Gengfan Ye, Jia Li, Kuan Feng, Guangyao Zhu, Maosong Chen, Wei Chen

“…Materials and Methods. We retrieved microarray data of ICH patients from the Gene Expression Omnibus database and intersected it with apoptotic genes, filtering out apoptosis-related differentially expressed genes (ARDEGs). …”
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Tissue ischemia time affects gene and protein expression patterns within minutes following surgical tumor excision by Annika Spruessel, Garnet Steimann, Mira Jung, Sung A. Lee, Theresa Carr, Anne-Kristin Fentz, Joerg Spangenberg, Carsten Zornig, Hartmut H. Juhl, Kerstin A. David

“…Gene and protein expression were determined by microarray (HG-U133A chips) and surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) technology (CM10 chips, SAX2 chips, and IMAC3Ni chips), respectively. …”
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Integrated Bioinformatics Analysis Identifies ELAVL1 and APP as Candidate Crucial Genes for Crohn’s Disease by Heli Li, Qianru Li, Shiran Sun, Ping Lei, Xiong Cai, Guanxin Shen

“…In this study, three independent microarray studies of CD were integrated and 9912 differentially expressed genes (DEGs) were analysed by NetworkAnalyst to screen candidate crucial genes. …”
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Ectopic overexpression of CD133 in HNSCC makes it resistant to commonly used chemotherapeutics by Junyoung Lee, Mineon Park, Youngjong Ko, Bora Kim, Okjoon Kim, Hoon Hyun, DongHwi Kim, HongMoon Sohn, Young Lae Moon, Wonbong Lim

“…To investigate the role of CD133 in chemoresistance, cell death was analyzed using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), Diff-Quick, flow cytometry, and western blot of apoptosis-related protein expression in fluorouracil (5-FU)- or cisplatin-treated cells. In addition, microarray and related protein expression assessments were performed to investigate the mechanism of chemoresistance against 5-FU and cisplatin in KB cells. …”
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LINC00162 participates in the pathogenesis of diabetic nephropathy via modulating the miR-383/HDAC9 signalling pathway by WenXing Fan, XiaoLing Wen, JinFeng Zheng, KunHua Wang, HongYu Qiu, Jing Zhang, Feng Su

“…In this study, we aimed to explore the potential role of lncRNA LINC-00162 in the pathogenic process of DN. LncRNA microarray analysis, real-time PCR, IHC computational analysis and luciferase assay were performed to explore the regulatory relationship among LINC00162, miR-383 and HDAC9. …”
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Immunohistochemical evaluation of colorectal carcinoma: experience of a four-year study by Muchalapuri Sravani, Fatima Fatima, Rasheed Fatima, K. N. Deepthi, Shilpa Karamchedu, Shaikh Nishadbanu, Allam Swetha

“…A retrospective study was performed on 36 paraffin blocks of documented colorectal carcinomas were stained by immunohistochemical technique using a tissue microarray with CK7, CK20 and CDX2 markers. The resulted data were statistically analyzed. …”
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Histopathologic classification and immunohistochemical features of papillary renal neoplasm with potential therapeutic targets by Jeong Hwan Park, Su-Jin Shin, Hyun-Jung Kim, Sohee Oh, Yong Mee Cho

“…We aimed to evaluate immunohistochemical features and possible therapeutic targets of papillary renal neoplasms Methods We collected 140 papillary renal neoplasms from three different hospitals and conducted immunohistochemical studies on tissue microarray slides. We performed succinate dehydrogenase B, fumarate hydratase, and transcription factor E3 immunohistochemical studies for differential diagnosis and re-classified five cases (3.6%) of papillary renal neoplasms. …”
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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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A Thorough Navigation of miRNA's Blueprint in Crafting Cardiovascular Fate by Abubakar Nazir, Olivier Uwishema, Sanobar Shariff, William Xochitun Gopar Franco, Noha El Masri, Nitsuh Dejene Ayele, Isabelle Munyangaju, Fatima Esam Alzain, Magda Wojtara

“…A variety of state‐of‐the‐art technologies have aided researchers in discovering, profiling, and analyzing miRNAs, including microarray analysis, next‐generation sequencing, and others. …”
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MiR‐486 promotes proliferation and suppresses apoptosis in myeloid cells by targeting Cebpa in vitro by Jingwei Jiang, Qingmin Gao, Yiwei Gong, Lizhen Huang, Hao Lin, Xinli Zhou, Xiaohua Liang, Weijian Guo

“…The purpose of this study was to identify miRNAs that regulate the proliferation and differentiation of M‐MDSCs. Microarray analysis was performed to identify differentially expressed miRNAs between tumor‐induced M‐MDSCs (TM‐MDSCs) and their counterparts from tumor‐free mice. …”
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Gene co-expression patterns shared between chemobrain and neurodegenerative disease models in rodents by Mohammad-Sajad Zare, Navid Abedpoor, Fatemeh Hajibabaie, Adam K. Walker

“…Given that there is no available microarray or RNA-Seq data from the brains of people who have experienced CRCI, we investigated to what extent brain gene expression perturbations from validated rodent models of CRCI induced by chemotherapy compared with validated rodent models of Alzheimer’s disease and Parkinson’s disease. …”
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Omics Multi-Layers Networks Provide Novel Mechanistic and Functional Insights Into Fat Storage and Lipid Metabolism in Poultry by Farzad Ghafouri, Abolfazl Bahrami, Abolfazl Bahrami, Mostafa Sadeghi, Seyed Reza Miraei-Ashtiani, Maryam Bakherad, Herman W. Barkema, Samantha Larose

“…In the analysis of microarray and RNA-Seq data, 1,835 genes were detected by comparing the identified genes with significant expression differences (p.adjust &lt; 0.01, fold change ≥ 2 and ≤ −2). …”
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Long-term programming of antigen-specific immunity from gene expression signatures in the PBMC of rhesus macaques immunized with an SIV DNA vaccine. by Sarah E Belisle, Jiangmei Yin, Devon J Shedlock, Anlan Dai, Jian Yan, Lauren Hirao, Michele A Kutzler, Mark G Lewis, Hanne Andersen, Simon M Lank, Julie A Karl, David H O'Connor, Amir Khan, Niranjan Sardesai, Jean Chang, Lauri Aicher, Robert E Palermo, David B Weiner, Michael G Katze, Jean Boyer

“…Strong cellular immunity was induced by vaccination which was supported by all assays including PBMC microarray analysis that identified the up-regulation of 563 gene sequences including those involved in interferon signaling. …”
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Cytosolic phospholipase A(2)α and eicosanoids regulate expression of genes in macrophages involved in host defense and inflammation. by Saritha Suram, Lori J Silveira, Spencer Mahaffey, Gordon D Brown, Joseph V Bonventre, David L Williams, Neil A R Gow, Donna L Bratton, Robert C Murphy, Christina C Leslie

“…For global insight, differential gene expression in C. albicans-stimulated cPLA2α(+/+) and cPLA2α(-/-) macrophages (3 h) was compared by microarray. cPLA2α(+/+) macrophages expressed 86 genes at lower levels and 181 genes at higher levels than cPLA2α(-/-) macrophages (≥2-fold, p<0.05). …”
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Jurkat T-cell lines exhibit marked genomic instability affecting karyotype, mutational profile, gene expression, immunophenotype and function by Andrew Wilson, Nathaniel Dasyam, Felix O’Hagan, Dianna Farrell, Claire Turner, Anne Jay, Alfonso Schmidt, Rachel Beddow, Tina Lillis, Tom Chin, Rachel Perret, Michelle McCulley, Robert Weinkove

“…We identified marked karyotypic heterogeneity both between and within Jurkat E6-1 populations, confirmed through chromosomal microarray. Whole exome sequencing of each cell population revealed both shared and unique mutational profiles, and transcriptomic profiles varied markedly between Jurkat E6-1 cell populations. …”
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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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