A systems approach to prion disease by Daehee Hwang, Inyoul Y Lee, Hyuntae Yoo, Nils Gehlenborg, Ji‐Hoon Cho, Brianne Petritis, David Baxter, Rose Pitstick, Rebecca Young, Doug Spicer, Nathan D Price, John G Hohmann, Stephen J DeArmond, George A Carlson, Leroy E Hood

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Mechanism and relevance of necroptosis to immune microenvironment of periodontitis: A pilot study by ZHENG Zhanglong, LI Jia, JIANG Jirui, SHAN Zhengnan, LI Shengjiao

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Oral Bacteria of Children with Turner Syndrome by Gülcan Ünsal, Nursen Topçuoğlu, Yeliz Güven, Şükran Poyrazoğlu, Güven Külekçi, Oya Aktören

“…The aim of this study was to evaluate the effects of oral bacteria on caries prevalence and periodontal status in pediatric patients with TS.Materials and Methods:Twenty TS patients and 17 healthy girls were examined for cariological and periodontal status. …”
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Global effects of DNA replication and DNA replication origin activity on eukaryotic gene expression by Larsson Omberg, Joel R Meyerson, Kayta Kobayashi, Lucy S Drury, John F X Diffley, Orly Alter

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Phenotypic Profiling of Selected Cellulolytic Strains to Develop a Crop Residue-Decomposing Bacterial Consortium by Arman Shamshitov, Egidija Satkevičiūtė, Francesca Decorosi, Carlo Viti, Skaidrė Supronienė

“…All strains demonstrated effective straw biomass degradation compared to the negative control, with significant differences detected only in oil seed rape straw biodegradation estimations. …”
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A standardized fold change method for microarray differential expression analysis used to reveal genes involved in acute rejection in murine allograft models by Weichen Zhou, Yi Wang, Masayuki Fujino, Leming Shi, Li Jin, Xiao‐Kang Li, Jiucun Wang

“…We suggest that SFC can be utilized to stably and effectively detect differential gene expression and to explore microarray data in further studies.…”
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A microarray platform-independent classification tool for cell of origin class allows comparative analysis of gene expression in diffuse large B-cell lymphoma. by Matthew A Care, Sharon Barrans, Lisa Worrillow, Andrew Jack, David R Westhead, Reuben M Tooze

“…This shows superior survival separation for assigned Activated B-cell (ABC) and Germinal Center B-cell (GCB) DLBCL classes relative to a range of other classifiers. DAC is effective on data derived from multiple microarray platforms and formalin fixed paraffin embedded samples and is parsimonious, using 20 classifier genes. …”
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Identification and characterization of gene networks and key genes related to the high-yield production of milk in high-yield cows using meta-analysis of microarray data by Mahdi Rahmatzadeh, Reza Shokri-Gharelo, Morteza Derakhti-Dizaji, Asghar Bazzaz, Bizhan Mahmoudi

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Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment by Ali Shakeri Abroudi, Melika Djamali, Hossein Azizi

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Hemizygous contiguous gene deletion within Xq28 that includes BCAP31, ABCD1, SRPK3 and SSR4: case report and literature review by Joan Chern-Hui Lien, Vinay D. Chandrasekaran, Tarachandra M. Narumanchi, Melissa S. Napoli, Jo Elle G. Peterson, Charles A. Williams

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Copula-Based Bayesian Model for Detecting Differential Gene Expression by Prasansha Liyanaarachchi, N. Rao Chaganty

“…Finally, we apply our model to <i>Escherichia coli</i> microarray data, illustrating its practical utility in gene expression analysis.…”
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Higher expression of mir‐31‐5p is associated with reduced risk of head and neck keloid recurrence following surgical resection by Albert M. Levin, Oghenefejiro Okifo, Katherine Buhl, Takahiro Ouchi, Bianca Parker, Jessica Tan, Indrani Datta, Xiangguo Dai, Yalei Chen, Nallasivam Palanisamy, Jesse Veenstra, Shannon Carskadon, Jia Li, David Ozog, Christian E. Keller, Dhananjay Chitale, Kevin R. Bobbitt, Howard C. Crawford, Nina Steele, Qing‐Sheng Mi, Lamont R. Jones

“…Methods Using a tissue microarray, mir‐31‐5p expression was measured with miRNAscope, and mir‐31‐5p cell positivity was determined with QuPath. …”
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Evaluating methods for identifying and quantifying Streptococcus pneumoniae co-colonization using next-generation sequencing data by Jada Hackman, Martin L. Hibberd, Todd D. Swarthout, Jason Hinds, James Ashall, Carmen Sheppard, Gerry Tonkin-Hill, Kate Gould, Comfort Brown, Jacquline Msefula, Andrew A. Mataya, Michiko Toizumi, Lay-Myint Yoshida, Neil French, Robert S. Heyderman, Stefan Flasche, Brenda Kwambana, Stéphane Hué

“…Across the 24 individuals, the microarray detected 77 non-unique serotypes, of which 42 occurred at high relative abundance (>10%) (per individual, median, 3; range, 1–6 serotypes). …”
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Dissection of a complex transcriptional response using genome‐wide transcriptional modelling by Martino Barenco, Daniel Brewer, Efterpi Papouli, Daniela Tomescu, Robin Callard, Jaroslav Stark, Michael Hubank

“…We examined the transcriptional response to DNA damage in a human T cell line (MOLT4) using microarrays. By measuring both mRNA accumulation and degradation over a short time course, we were able to construct a mechanistic model of the transcriptional response. …”
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Genome-wide profiling of micro-RNA expression in gefitinib-resistant human lung adenocarcinoma using microarray for the identification of miR-149-5p modulation by Yong Hu, Xiaobing Qin, Dali Yan, Haixia Cao, Leilei Zhou, Fan Fan, Jialan Zang, Jie Ni, Xiaoyue Xu, Huanhuan Sha, Siwen Liu, Shaorong Yu, Jianzhong Wu, Rong Ma, Jifeng Feng

“…We compared the micro-RNA expression profiles of the HCC827 cells HCC827/GR-8-1 using Agilent micro-RNA microarrays. The micro-RNAs, such as the miR-149-5p, were up- or downregulated and associated with acquired gefitinib resistance. …”
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Identification and validation of a novel autoantibody biomarker panel for differential diagnosis of pancreatic ductal adenocarcinoma by Metoboroghene O. Mowoe, Metoboroghene O. Mowoe, Hisham Allam, Joshua Nqada, Marc Bernon, Karan Gandhi, Sean Burmeister, Urda Kotze, Miriam Kahn, Christo Kloppers, Suba Dharshanan, Zafirah Azween, Pamela Maimela, Paul Townsend, Eduard Jonas, Jonathan M. Blackburn, Jonathan M. Blackburn

“…Specifically, we quantified the serological AAb profiles of 94 PDAC, chronic pancreatitis (CP), other pancreatic- (PC) and prostate cancers (PRC), non-ulcer dyspepsia patients (DYS), and healthy controls (HC).ResultsCombinatorial ROC curve analysis on the training cohort data from the cancer antigen microarrays identified the most effective biomarker combination as CEACAM1-DPPA2-DPPA3-MAGEA4-SRC-TPBG-XAGE3 with an AUC = 85·0% (SE = 0·828, SP = 0·684). …”
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A Versatile High‐Throughput Single‐Cell Screening Platform for Profiling Antigen‐Specific Long‐Lived B Cells in Blood and Bone Marrow by Tian Zhao, Yuqing Lei, Chang Liu, Dong Zhang, Kaiyi Li, Sisi Shan, Chenyu Li, Zimeng Wei, Yuhan Yang, Ting Zhang, Kai Sun, Haoran Sun, Linqi Zhang, Peng Liu

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Investigation of local corrosion behavior and mechanism for TA2/HAl77-2/316L SS coupling systems under seawater liquid film by Hong Ju, Hanzhi Li, Lu Fang, Haitong Lu, Yifan Wei

“…Local corrosion parameters, such as the maximum potential difference (ΔEmax), the maximum anode current density (Ia,max), the local corrosion intensity factor (LCII), and the cathode to anode area ratio (Sc/Sa) were obtained to quantitatively characterize the local corrosion degree of microarray electrodes. The results showed that HAl77-2 and most of the 316L SS electrode wires in the microarray electrodes served as anodes, while TA2 and the remainder of the 316L SS electrode wires performed as cathodes. …”
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SINGLE NUCLEOTIDE POLYMORPHISMS IN BREAST TUMOR AND EXPRESSION OF ABC-TRANSPORTERS AFTER NEOADJUVANT CHEMOTHERAPY by M. M. Tsyganov, M. K. Ibragimova, E. M. Slonimskaya, N. V. Cherdyntseva, N. V. Litviakov

“…Using a quantitative Real-time PCR, the expression of 4 multidrug resistence (MDR) genes (ABCB1, ABCC1, ABCC2, ABCG2) was studied in surgical samples after NAC. Microarray analysis was performed using high density DNA microarrays, which contain more than 750.000 SNPs. …”
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LIMA1-alpha staining predicts curative intent surgery response in HPV negative head and neck cancer by Xi Qiao, Johannes Routila, Mari Tienhaara, Heikki Irjala, Priyadharshini Parimelazhagan Santhi, Teemu Huusko, Linda Nissi, Ilkka Paatero, Noora Lehtinen, Juha Rantala, Toni Viljanen, Ilmo Leivo, Petri Koivunen, Anna Jouppila-Mättö, Rami Taulu, Leif Bäck, Tommy Wilkman, Eeva Haapio, Ilpo Kinnunen, Kari Kurppa, Jukka Westermarck, Sami Ventelä

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