Identification of Critical Signature in Post‐Traumatic Stress Disorder Using Bioinformatics Analysis and in Vitro Analyses by Lifen Liu, Yang Liu, Rui Li, Yue Teng, Shuyang Zhao, Jinhong Chen, Changjiang Li, Xinyu Hu, Lin Sun

“…Current research is focused on identifying effective treatments for PTSD. Advances in bioinformatics provide opportunities to elucidate the underlying mechanisms of PTSD. …”
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Possibility of the Use of Public Microarray Database for Identifying Significant Genes Associated with Oral Squamous Cell Carcinoma by Ki-Yeol Kim, In-Ho Cha

“…Most studies include insufficient samples to apply statistical methods for detecting significant gene sets. This study combined two small microarray datasets from a public database and identified significant genes associated with the progress of oral squamous cell carcinoma. …”
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Carbohydrate Microarrays Identify Blood Group Precursor Cryptic Epitopes as Potential Immunological Targets of Breast Cancer by Denong Wang, Jin Tang, Shaoyi Liu, Jiaoti Huang

“…Using carbohydrate microarrays, we explored potential natural ligands of antitumor monoclonal antibody HAE3. …”
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Gene markers of fracture healing in early stage and the regulatory mechanism during the process using microarray analysis by Chengxue Wang, Baochang Qi, Lei Tan, Jieping Cheng

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Combining gene expression microarrays and Mendelian randomization: exploring key immune-related genes in multiple sclerosis by Shuangfeng Ding, Yunyun Zhang, Yunzhe Tang, Ying Zhang, Mingyuan Liu

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A High Phosphorus Diet Affects Lipid Metabolism in Rat Liver: A DNA Microarray Analysis. by Sunwoo Chun, Takeshi Bamba, Tatsuya Suyama, Tomoko Ishijima, Eiichiro Fukusaki, Keiko Abe, Yuji Nakai

“…In the present study, we performed DNA microarray analysis to investigate the effects of a HP diet on the liver, which plays a pivotal role in energy metabolism. …”
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Development of a microarray based telomerase binding assay reveals unusual binding of a cytochalasin derivative by Jia Li Ye, Lu Fan, Christian Bär, Thomas Thum, Oliver Plettenburg, Russell J. Cox, Carsten Zeilinger

“…In this study, we present a highly miniaturized, microarray-based assay designed to identify compounds that target telomerase. …”
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Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets by Zahraa Ahmed, Mesut Çevik

“…To alleviate such an effect, this study proposes a gene selection approach based on the parameter-free and large-scale manta ray foraging optimization algorithm. …”
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In Vitro Investigation of Statin Effects on Genes Associated with Severe COVID-19 in Cancerous and Non-Cancerous Cells by Adriana Kapustová, Patrik Macášek, Bibiána Baďurová, Jana Melegová, Silvie Rimpelová, Jan Kubovčiak, Jana Šáchová, Miluše Hradilová, Michal Kolář, Libor Vítek, Tomáš Ruml, Helena Gbelcová

“…However, statins exhibit additional pleiotropic effects. The present study aims to investigate the effects of all eight currently existing statins on the expression of genes whose products have been reported to be directly associated with complicated COVID-19 disease. …”
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Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

“…Lately, several studies have delved into cancer classification by leveraging data mining techniques, machine learning algorithms, and statistical methods to thoroughly analyze high-dimensional datasets. Detecting cancer early by examining gene expression data is vital for providing effective patient care. …”
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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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Gene Expression Profile of Dendritic Cell-Tumor Cell Hybrids Determined by Microarrays and Its Implications for Cancer Immunotherapy by Jens Dannull, Chunrui Tan, Christine Farrell, Cynthia Wang, Scott Pruitt, Smita K. Nair, Walter T. Lee

“…Dendritic cell- (DC-) tumor fusion cells stimulate effective in vivo antitumor responses. However, therapeutic approaches are dependent upon the coadministration of exogenous 3rd signals. …”
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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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IDENTIFYING IMPORTANT GENES IN OVARIAN CANCER FROM HIGH-DIMENSIONAL MICROARRAY DATA USING SIFS-CART METHOD by Ni Kadek Emik Sapitri, Umu Sa'adah, Nur Shofianah

“…Ovarian cancer can be identified from microarray data using machine learning. Many studies only focus on improving the machine learning classification algorithms to achieve higher performance. …”
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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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Mapping quantitative trait loci regions associated with Marek’s disease on chicken autosomes by means of selective DNA pooling by Ehud Lipkin, Jacqueline Smith, Morris Soller, David W. Burt, Janet E. Fulton

“…Distribution of P and LD values were used to assess the QTLR causative elements. Allele substitution effects were calculated based on both pooled SNP microarray genotypes, and individual genotypes of QTLRs markers. …”
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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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Substantia nigra and blood gene signatures and biomarkers for Parkinson’s disease from integrated multicenter microarray-based transcriptomic analyses by Hui-Hui Fan, Na-Na Hou, Na-Na Hou, Dao-Lu Zhang, Dan-Ni Liu, Rong-Ting Tang, Hai-Tao Luo, Ya-Dan Song, Lei Cui, Xiong Zhang, Jian-Hong Zhu, Jian-Hong Zhu

“…PD diagnosis depends on clinical manifestation of symptoms but is lack of effective biomarker.MethodsAvailable human microarray-based transcriptomic datasets of the substantia nigra and blood were acquired for PD cases and controls. …”
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Critical evaluation of the reliability of DNA methylation probes on the Illumina MethylationEPIC v1.0 BeadChip microarrays by Wei Zhang, Juan I. Young, Lissette Gomez, Michael A. Schmidt, David Lukacsovich, Achintya Varma, X. Steven Chen, Brian Kunkle, Eden R. Martin, Lily Wang

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