Examination of the functions and mechanism of KCP in mediating paclitaxel resistance in cervical squamous carcinoma cells by Yue He, Jian-Qing Xu, Jing-Jing Zhang, Zhen-You Liu, Chen Ji, Yang Liu, Yun-Fan Wang, Ming Wang, Yu-Mei Wu, Yan Wang

“…Key cell functions were assessed by colony formation assay, measurement of cell proliferation by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, and FACS-based detection of apoptosis. The downstream mechanism of KCP-mediated resistance to paclitaxel was then examined using human gene chip detection and IPA bioinformatics analysis, and qPCR analysis was used to validate its downstream genes.Results①Functional studies of SiHa cells showed that KCP knockout (sgRNA) inhibited colony formation and proliferation of SiHa cells in the presence of paclitaxel (p<0.05). ②Using a whole human genome microarray, a total of 491 differentially expressed genes were identified in KCP knockout versus the NC SiHa cells. …”
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Profiling of gastric cancer cell-surface markers to achieve tumour–normal discrimination by Henry Yang, Khek Yu Ho, Judith Toh, Michal Marek Hoppe, Teena Thakur, Kar Tong Tan, Brendan Pang, Sharmaine Ho, Rony Roy, Khay Guan Yeoh, Raghav Sundar, Anand Jeyasekharan

“…Promising candidates from this analysis were validated orthogonally using multispectral immunohistochemistry (mIHC) with automated quantitative analysis using the Vectra platform. mIHC was performed on a tissue microarray containing matched normal, marginal and tumour tissues. …”
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Two stable variants of Burkholderia pseudomallei strain MSHR5848 express broadly divergent in vitro phenotypes associated with their virulence differences. by A A Shea, R C Bernhards, C K Cote, C J Chase, J W Koehler, C P Klimko, J T Ladner, D A Rozak, M J Wolcott, D P Fetterer, S J Kern, G I Koroleva, S P Lovett, G F Palacios, R G Toothman, J A Bozue, P L Worsham, S L Welkos

“…Microscopic and colony morphology differences on six differential media were observed and only the Rough variant metabolized sugars in selective agar. Antimicrobial susceptibilities and lipopolysaccharide (LPS) features were characterized and phenotype microarray profiles revealed distinct metabolic and susceptibility disparities between the variants. …”
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A multi-omic meta-analysis reveals novel mechanisms of insecticide resistance in malaria vectors by Sanjay C. Nagi, Victoria A. Ingham

“…This study, employing a cross-species approach, integrates RNA-Sequencing, whole-genome sequencing, and microarray data to elucidate drivers of insecticide resistance in Anopheles gambiae complex and An. funestus. …”
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Characterization of transcriptional changes in ERG rearrangement-positive prostate cancer identifies the regulation of metabolic sensors such as neuropeptide Y. by Petra Massoner, Karl G Kugler, Karin Unterberger, Ruprecht Kuner, Laurin A J Mueller, Maria Fälth, Georg Schäfer, Christof Seifarth, Simone Ecker, Irmgard Verdorfer, Armin Graber, Holger Sültmann, Helmut Klocker

“…Functional analyses do not fully explain the selective pressure causing ERG rearrangement during the development of prostate cancer. …”
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Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. by Enrico Glaab, Jaume Bacardit, Jonathan M Garibaldi, Natalio Krasnogor

“…A comparison with other benchmark microarray sample classifiers based on three diverse feature selection algorithms suggests that these evolutionary learning techniques can compete with state-of-the-art methods like support vector machines. …”
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Host genome drives the microbiota enrichment of beneficial microbes in shrimp: exploring the hologenome perspective by Fernanda Cornejo-Granados, Luigui Gallardo-Becerra, Sandra Romero-Hidalgo, Alonso A. Lopez-Zavala, Andrés Cota-Huízar, Melany Cervantes-Echeverría, Rogerio R. Sotelo-Mundo, Adrian Ochoa-Leyva

“…Results Using genome-wide SNP microarray analysis, we confirmed that Gen1 and Gen2 represented distinct genetic populations. …”
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NF1 expression profiling in IDH-wildtype glioblastoma: genomic associations and survival outcomes by Michael Chang, Mohamed Sherief, Maria Ioannou, Viveka Chinnasamy, Lucy Chen, Michael Frost, Michelle Mattson-Hoss, Herb Sarnoff, David O. Kamson, Matthias Holdhoff, Debraj Mukherjee, Chetan Bettegowda, Jordina Rincon-Torroella, Victoria Croog, Peng Huang, Fausto J. Rodriguez, Calixto-Hope G. Lucas, Karisa C. Schreck

“…Methods We assembled a single-institution, retrospective cohort of 542 IDH-wildtype GBM with somatic next generation sequencing to investigate the frequency and nature of detected NF1 alterations. We selected 69 GBMs from which to build a tissue microarray (TMA) of 44 NF1-wildtype and 25 NF1-mutant cases. …”
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A retrospective analysis of prenatal genetic results in fetal hydronephrosis. by Keqin Jin, Xiayuan Xu, Yue Qian, Liping Zhang, Min Hu, Jianfeng Luo

“…<h4>Objective</h4>To discuss the application value of technologies such as chromosome microarray analysis (CMA) in fetuses with hydronephrosis and pyelectasis.…”
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Evaluation of gene expression classification studies: factors associated with classification performance. by Putri W Novianti, Kit C B Roes, Marinus J C Eijkemans

“…The MAQC II study on cancer classification problems has found that performance was affected by factors such as the classification algorithm, cross validation method, number of genes, and gene selection method. In this paper, we study the hypothesis that the disease under study significantly determines which method is optimal, and that additionally sample size, class imbalance, type of medical question (diagnostic, prognostic or treatment response), and microarray platform are potentially influential. …”
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Long Noncoding RNAs and mRNA Regulation in Peripheral Blood Mononuclear Cells of Patients with Chronic Obstructive Pulmonary Disease by Xiaoyan Qu, Xiaomin Dang, Weijia Wang, Ying Li, Dan Xu, Dong Shang, Ying Chang

“…Methods. lncRNA and mRNA profiling of PBMCs from 17 smokers and 14 COPD subjects was detected by high-throughput microarray. The expression of dysregulated lncRNAs was validated by qPCR. …”
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Mapping autoantibody targets of full-length C-reactive protein in systemic lupus erythematosus: importance for neutrophil function and classical complement activation by Jesper Karlsson, Lina Wirestam, Hanna Duàn, Suhana Ahmad, Daniel Appelgren, Helena Enocsson, Jonas Wetterö, Christopher Sjöwall

“…The levels of anti-CRP and SLE-associated antibodies were assessed, and a microarray-based linear epitope mapping was performed to detect binding sites on the full CRP monomer. …”
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Bioinformatics meets machine learning: identifying circulating biomarkers for vitiligo across blood and tissues by Qiyu Wang, Jingwei Yuan, Jingwei Yuan, Mengdi Zhang, Haiyan Jia, Hongjie Lu, Yan Wu

“…The merged microarray data were then used for WGCNA to identify modules of features genes. …”
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A retrospective analysis of 6942 amniocentesis cases by Qingsha An, Yuxiao Huang, Feifei Yu, Yilun Tao, Juan Li, Xiaoze Li

“…Among the single-method cases, Chromosomal Microarray Analysis (CMA) was the most frequently selected technique (14.18%). …”
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Synchrotron Radiation-Induced X-Ray Emission to Identify Metal Ions in Preparations of Purified Protein by Thomas Pfister, Huan Feng, Eckard Wimmer, Keith W. Jones

“…The suitability of synchrotron radiation-induced X-ray emission (SRIXE) for the detection and identification of metal ions in preparations of purified, soluble proteins was tested. …”
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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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Pharmacologic inhibition of CSF-1R suppresses intrinsic tumor cell growth in osteosarcoma with CSF-1R overexpression by Cheng Dai, Bin Shen, Shenyan Liu, Cong Li, Shuqun Yang, Jie Wang, Jie Zhang, Manqi Liu, Zhixuan Zhu, Wan Shi, Qi Zhang, Zhui Chen, Nannan Zhang

“…Immunohistochemistry (IHC) was utilized to analyze human tissue microarray samples of osteosarcoma. We then investigated the anti-tumor effect and the mechanisms of action of pharmacologic inhibition of CSF-1R activity by pimicotinib (ABSK021), a highly potent and selective small molecule inhibitor of CSF-1R, in osteosarcoma models both in vitro and in vivo. …”
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Identification of sero-reactive antigens for the early diagnosis of Johne's disease in cattle. by Lingling Li, John P Bannantine, Joseph J Campo, Arlo Randall, Yrjo T Grohn, Robab Katani, Megan Schilling, Jessica Radzio-Basu, Vivek Kapur

“…JD has a high herd prevalence and causes serious animal health problems and significant economic loss in domesticated ruminants throughout the world. Since serological detection of MAP infected animals during the early stages of infection remains challenging due to the low sensitivity of extant assays, we screened 180 well-characterized serum samples using a whole proteome microarray from Mycobacterium tuberculosis (MTB), a close relative of MAP. …”
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The impact of the nucleosome code on protein-coding sequence evolution in yeast. by Tobias Warnecke, Nizar N Batada, Laurence D Hurst

“…We identify nucleosome positioning as a likely candidate to set up such a DNA-level selective regime and use high-resolution microarray data in yeast to compare the evolution of coding sequence bound to or free from nucleosomes. …”
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Identification of Differentially Expressed Genes and Elucidation of Pathophysiological Relevance of ABCA1 in HaCaT Cells Induced by PM2.5 by Fen Peng, Chen-Hong Xue, Xiao-Jing Yang, Jing-Yi Huang, Zhou Chen, Jian-Zhong Zhang

“…Microarray analyses were used to find out the microarray gene expression profiling; data processing included gene enrichment and pathway analysis. …”
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