Microarray technologies for analysis of genetic determinants of <i>Neisseria gonorrhoeae</i> antimicrobial resistance by Boris L. Shaskolskiy, Dmitry V. Kravtsov, Ilya D. Kandinov, Dmitry A. Gryadunov, Marina V. Shpilevaya, Julia Z. Shagabieva, Nikita Y. Nosov

“…Conclusion. Microarray technologies for detecting antimicrobial resistance genetic determinants in N. gonorrhoeae serve as a complementary tool for identifying resistant strains. …”
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Genetic Evaluation of Early Pregnancy Loss by Chromosomal Microarray Analysis: A Retrospective Analysis by Hu Ding, Honglei Duan, Xiangyu Zhu, Wei Liu, Leilei Gu, Chunxiang Zhou, Jie Li

“…This retrospective cohort study utilizes chromosomal microarray analysis (CMA) to systematically investigate chromosomal abnormalities associated with early pregnancy loss. …”
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Mechanism-based screen for G1/S checkpoint activators identifies a selective activator of EIF2AK3/PERK signalling. by Simon R Stockwell, Georgina Platt, S Elaine Barrie, Georgia Zoumpoulidou, Robert H Te Poele, G Wynne Aherne, Stuart C Wilson, Peter Sheldrake, Edward McDonald, Mathilde Venet, Christelle Soudy, Frédéric Elustondo, Laurent Rigoreau, Julian Blagg, Paul Workman, Michelle D Garrett, Sibylle Mittnacht

“…Our work therefore identifies CCT020312 as a novel small molecule chemical tool for the selective activation of EIF2A-mediated translation control with utility for proof-of-concept applications in EIF2A-centered therapeutic approaches, and as a chemical starting point for pathway selective agent development. …”
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Themis2/ICB1 is a signaling scaffold that selectively regulates macrophage Toll-like receptor signaling and cytokine production. by Matthew J Peirce, Matthew Brook, Nicholas Morrice, Robert Snelgrove, Shajna Begum, Alessandra Lanfrancotti, Clare Notley, Tracy Hussell, Andrew P Cope, Robin Wait

“…<h4>Background</h4>Thymocyte expressed molecule involved in selection 1 (Themis1, SwissProt accession number Q8BGW0) is the recently characterised founder member of a novel family of proteins. …”
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The use of chromosomal microarray analysis for diagnostics of chromosomal pathology in fetal central nervous system malformations by J. K. Kievskaya, I. V. Kanivets, E. V. Kudryavtseva, D. V. Pyankov, S. A. Korostelev

“…There were enrolled 42 pregnant women underwent invasive prenatal diagnostics in 2013–2019 due to ultrasound detection of congenital CNS defect in fetus. Fetal samples were studied by using chromosome microarray analysis (CMA).Results. …”
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Circular RNA microarray expression profile and potential function of circDOCK1 in colorectal cancer by Guojing Zhang, Xiaoyan Wu, Hongmin Fu, Daqing Sun

“…Therefore, there exists a critical need to identify novel markers facilitating early CRC detection and prognosis. Circular RNAs (circRNAs) hold promise as novel clinical diagnostic markers. …”
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SNP Microarray in FISH Negative Clinically Suspected 22q11.2 Microdeletion Syndrome by Ashutosh Halder, Manish Jain, Amanpreet Kaur Kalsi

“…Clinically suspected specific deletions (22q11.2) were detectable in approximately 8% of cases by SNP microarray, mostly from FISH noninformative cases. …”
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Distinct antibody responses of patients with mild and severe leptospirosis determined by whole proteome microarray analysis. by Carolina Lessa-Aquino, Janet C Lindow, Arlo Randall, Elsio Wunder, Jozelyn Pablo, Rie Nakajima, Algis Jasinskas, Jaqueline S Cruz, Alcineia O Damião, Nívison Nery, Guilherme S Ribeiro, Federico Costa, José E Hagan, Mitermayer Galvão Reis, Albert I Ko, Marco Alberto Medeiros, Philip L Felgner

“…<h4>Methods and principal findings</h4>Here, we used protein microarray chip to profile the antibody responses of patients with severe and mild leptospirosis against the complete Leptospira interrogans serovar Copenhageni predicted ORFeome. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

Subjects: “…Breast cancer detection…”
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Quantitative and Qualitative Variations in TILs in Risk Stratification and Patient Selection for Neoadjuvant Chemotherapy of the Luminal B and Triple-Negative Breast Cancer Immunop... by Ana Car Peterko, Koraljka Rajković Molek, Anita Savić Vuković, Tamara Gulić, Petra Valković Zujić, Eleonora Cini Tešar, Damir Juranić, Aleksandra Pirjavec Mahić, Franjo Lovasić, Gordana Đorđević, Manuela Avirović

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Deconvolution of expression microarray data reveals 131I-induced responses otherwise undetected in thyroid tissue. by Britta Langen, Nils Rudqvist, Johan Spetz, Khalil Helou, Eva Forssell-Aronsson

“…In this study, we deconvolved microarray data from thyroid tissue in order to assess possible bias from mixed cell type data. …”
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Utility of whole exome sequencing in the evaluation of isolated fetal growth restriction in normal chromosomal microarray analysis by Xiaomei Shi, Yanling Huang, Hongke Ding, Lina Zhao, Wei He, Jing Wu

“…Objective To investigate the application of whole exome sequencing (WES) in the prenatal diagnosis of isolated fetal growth restriction (FGR) with a normal result by chromosomal microarray analysis (CMA).Methods This retrospective study included singleton fetuses with isolated FGR in Guangdong Women and Children Hospital between July 2018 and August 2023. …”
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Systematic spatial bias in DNA microarray hybridization is caused by probe spot position-dependent variability in lateral diffusion. by Doris Steger, David Berry, Susanne Haider, Matthias Horn, Michael Wagner, Roman Stocker, Alexander Loy

“…Numerical simulations reveal a strong influence of microarray well geometry on the spatial bias.<h4>Conclusions</h4>Reciprocal adjustment of the size of the microarray hybridization chamber to the area of surface-bound probes is a simple and effective measure to minimize or eliminate the diffusion-based bias, resulting in increased uniformity and accuracy of quantitative DNA microarray hybridization.…”
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Genetic findings of children with congenital heart diseases using chromosomal microarray and trio-based whole exome sequencing by Rui Guo, Chunhong Duan, Mehdi Zarrei, Miriam S. Reuter, Rui Dong, Guangye Zhang, Xiaomeng Yang, Haiyang Zhang, Ying Wang, Stephen W. Scherer, Yi Liu, Zhongtao Gai

“…In individuals with extracardiac features, the overall detection rate was significantly higher (61.5%) than in individuals with isolated CHD (17.3%) (P = 4.6 × 10− 3). …”
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Deciphering the prokaryotic community and metabolisms in South African deep-mine biofilms through antibody microarrays and graph theory. by Yolanda Blanco, Luis A Rivas, Antonio García-Moyano, Jacobo Aguirre, Patricia Cruz-Gil, Arantxa Palacín, Esta van Heerden, Víctor Parro

“…Both culture-independent techniques coincided in detecting features related to aerobic sulfur-oxidizers, aerobic chemoorganotrophic Alphaproteobacteria and metanotrophic Gammaproteobacteria. 16S rRNA gene sequencing detected phylotypes related to nitrate-reducers and anaerobic sulfur-oxidizers, whereas the EMChip66 detected immunological features from methanogens and sulfate-reducers. …”
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A customizable multiplex protein microarray for antibody testing and its application for tick-borne and other infectious diseases by Hari Krishnan Krishnamurthy, Vasanth Jayaraman, Karthik Krishna, Tianhao Wang, Kang Bei, Chithra Changalath, Shiny Matilda, Alex J. Rai, Renata Welc-Falęciak, Agnieszka Pawełczyk, Lucas S. Blanton, Aleš Chrdle, Andrea Fořtová, Daniel Růžek, Gheyath K. Nasrallah, Laith J. Abu-Raddadi, Duaa W. Al-Sadeq, Marah Abed Alhakim Abdallah, Daniele Lilleri, Chiara Fornara, Piera D’Angelo, Milena Furione, Maria Söderlund-Venermo, Klaus Hedman, Dimosthenis Chochlakis, Eirini Makridaki, Artemis Ntoula, Anna Psaroulaki, Angélica Escárcega-Ávila, John J. Rajasekaran

“…The diagnostic tests currently available for tick-borne diseases are severely limited in their ability to provide accurate results and cannot detect multiple pathogens in a single run. The multiplex protein microarray developed at Vibrant was designed to detect multiple serological antibodies thereby detecting exposure to multiple pathogens simultaneously. …”
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No Amplifications of Hypoxia-Inducible Factor-1α Gene in Invasive Breast Cancer: A Tissue Microarray Study by Marije M. Vleugel, Reinhard Bos, Horst Buerger, Petra van der Groep, Outi R. Saramäki, Tapio Visakorpi, Elsken van der Wall, Paul J. van Diest

“…Methods: Protein and gene expression of HIF‐1α were analyzed on a tissue microarray of 94 breast cancers by immunohistochemistry and fluorescent in situ hybridization (FISH), respectively. …”
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Screening of molecular markers associated with hornless traits in Qira black sheep by Wen Zhou, Lijun Zhu, Yuwei Peng, Xiaopeng Li, Xuechen Zhang, Zhipeng Han, Jingping Li, Xinyu Bai, Qifeng Gao, Ruizhi Yang, Tao Jiang, Shudong Liu

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PD-L1 quantification across tumor types using the reverse phase protein microarray: implications for precision medicine by Mariaelena Pierobon, Johann De Bono, Ruth Riisnaes, Giuseppe Giaccone, Matthew Blackburn, Lance Liotta, Vienna Ludovini, Neil J Shah, Giuseppina Improta, Antonella Ravaggi, Niven Mehra, Angelo Sidoni, Elisa Baldelli, K Alex Hodge, Guido Bellezza, Guido Gambara, Martina Mandarano, Chamodya Ruhunusiri, Bryant Dunetz, Maysa Abu-Khalaf, Julia Wulfkuhle, Rosa I Gallagher, Franco Odicino, Maria Isabella Sereni, Angela Zupa, Perry Demsko, Lucio Crino', Emanuel F Petricoin

“…Using a high throughput immunoassay, the reverse phase protein microarray (RPPA), coupled with a fluorescence-based detection system, this study compared the performance of six anti-PD-L1 antibody clones on 666 tumor samples.Methods PD-L1 expression was measured using five antibody clones (22C3, 28–8, CAL10, E1L3N and SP142) and the therapeutic antibody atezolizumab on 222 lung, 71 ovarian, 52 prostate and 267 breast cancers, and 54 metastatic lesions. …”
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Local Mean Normalization of Microarray Element Signal Intensities across an Array Surface: Quality Control and Correction of Spatially Systematic Artifacts by Carlo Colantuoni, George Henry, Scott Zeger, Jonathan Pevsne

“…Here we present a methodology for the normalization of element signal intensities to a mean intensity calculated locally across the surface of a DNA microarray. These methods allow the detection and/or correction of spatially systematic artifacts in microarray data. …”
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