Comparative analysis of proteome and transcriptome variation in mouse. by Anatole Ghazalpour, Brian Bennett, Vladislav A Petyuk, Luz Orozco, Raffi Hagopian, Imran N Mungrue, Charles R Farber, Janet Sinsheimer, Hyun M Kang, Nicholas Furlotte, Christopher C Park, Ping-Zi Wen, Heather Brewer, Karl Weitz, David G Camp, Calvin Pan, Roumyana Yordanova, Isaac Neuhaus, Charles Tilford, Nathan Siemers, Peter Gargalovic, Eleazar Eskin, Todd Kirchgessner, Desmond J Smith, Richard D Smith, Aldons J Lusis

“…We have examined this issue using a genetic approach in which natural variations were used to perturb both transcript levels and protein levels among inbred strains of mice. …”
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Inference of cell type content from human brain transcriptomic datasets illuminates the effects of age, manner of death, dissection, and psychiatric diagnosis. by Megan Hastings Hagenauer, Anton Schulmann, Jun Z Li, Marquis P Vawter, David M Walsh, Robert C Thompson, Cortney A Turner, William E Bunney, Richard M Myers, Jack D Barchas, Alan F Schatzberg, Stanley J Watson, Huda Akil

“…Using this database, we predicted the relative cell type content for 833 human cortical samples using microarray or RNA-Seq data from the Pritzker Consortium (GSE92538) or publicly-available databases (GSE53987, GSE21935, GSE21138, CommonMind Consortium). …”
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Identification and Validation of Aging-Related Genes in IgA Nephropathy in the Asian Population by Shu J, Li H, Li H

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Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…Gene selection plays a crucial role in the pre-processing of microarray data, aiming to identify a small set of genes that enhances classification accuracy and reduces costs. …”
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Global Trends and Emerging Frontiers on Ovarian Endometriosis: A Bibliometric and Visualization Analysis by Wu X, Yu X, Yang L, Xie A, Su Y, Zhang L, Lin Y, Gan X

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Genome-Wide Association Study of Exercise Addiction Among Elite Wrestlers by Celal Bulgay, Anıl Kasakolu, Türker Bıyıklı, Seyrani Koncagul, Hasan H. Kazan, Ildus I. Ahmetov, Mehmet A. Ergun, Mark D. Griffiths, Attila Szabo

“…Whole-genome genotyping was performed using DNA microarray. Results: Using a genome-wide approach (<i>p</i> < 1.0 × 10⁻⁵), we identified six suggestively significant single-nucleotide polymorphisms (SNPs) associated with exercise addiction status. …”
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Transcriptomic analysis of laser-capture microdissected tumors reveals RAD51AP1 as a tumor-specific marker associated progression from pancreatic intraepithelial neoplasia to invas... by Fereshteh Rezagholizadeh, Adel Salimi, Ali Sharifi-Zarchi, Farid Azmoudeh-Ardalan, Kazem Mousavizadeh, Fatemeh Tajik, Mahshid Panahi, Hossein Khorramdelazad, Masoud Baghai Wadji, Atefeh Kashanizadeh, Alireza Lotfalizadeh, Seyed Javad Mowla, Mohammad Taghi Joghataei

“…Immunohistochemistry (IHC) on 353 PDAC patients, including 73 PanIN lesions and 280 tumor tissues on tissue microarray (TMA) slides, provided further confirmation. …”
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Does Bilirubin Have a Causal Relationship With Vitiligo? A Mendelian Randomization Study and Bioinformatics Analysis by Xu D, Yin Y, Teng Y, Huang Y, Yu Y, Tao X, Fan Y, Ding X

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Bayesian weighted random forest for classification of high-dimensional genomics data by Oyebayo Ridwan Olaniran, Mohd Asrul A. Abdullah

“…Secondly, a new variable ranking procedure is developed and then hybridized with BWRCF to tackle the high-dimensionality issues. The performance of the proposed method is analyzed using simulated and real-life high-dimensional microarray datasets based on holdout accuracy and misclassification error rates. …”
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Machine learning reveals CAT gene as a novel potential diagnostic and prognostic biomarker in non-small cell lung cancer by Yi Tian, Wen-ya Zhao, Yi-ru Liu, Wen-wen Song, Qiao-xin Lin, Yan-na Gong, Yi-ting Deng, Dian-na Gu, Ling Tian

“…Herein, we would apply machine learning methods to specifically analyze the issue of biomarker applicability across different age groups in NSCLC. …”
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Delineation of 2q32q35 Deletion Phenotypes: Two Apparent “Proximal” and “Distal” Syndromes by Adrian Mc Cormack, Juliet Taylor, Nerine Gregersen, Alice M. George, Donald R. Love

“…They presented with wide-ranging phenotypic variation including facial dysmorphisms, cleft palate, learning difficulties, behavioural issues and severe heart defects. Microarray analysis confirmed an 8.6 Mb deletion in patients 1 and 2 and a 24.7 Mb deletion in patient 3. …”
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c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's disease. by Sherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi

“…We trained the model with blood genotyping data, microarray, and clinical features from the Alzheimer's Neuroimaging Disease Initiative (ADNI). …”
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Silencing NEDD4L Effectively Inhibits the Malignant Behaviors of Hepatocellular Carcinoma by Dai J, Zhu T, Wan J, Liu R, Song Y, Zhang D, Wang X, Zhang H, Li W, Lin J, Zhu X, Liu Y

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Deciphering cholangiocarcinoma heterogeneity and specific progenitor cell niche of extrahepatic cholangiocarcinoma at single-cell resolution by Chunliang Liu, Xiang Wang, Erdong Liu, Yali Zong, Wenlong Yu, Youhai Jiang, Jianan Chen, Mingye Gu, Zhengyuan Meng, Jingfeng Li, Yang Liu, Yongjie Zhang, Jing Tang, Hongyang Wang, Jing Fu

“…We aim to address this issue using single-cell and spatially resolved transcriptomic approaches. …”
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Identification of Novel Biomarkers in Huntington’s Disease Based on Differential Gene Expression Meta-Analysis and Machine Learning Approach by Nayan Dash, Md Abul Bashar, Jeonghan Lee, Raju Dash

“…Currently, the diagnosis relies on the signs and symptoms shown by patients; however, by that stage, the psychomotor issues have progressed to a point where reversal of the condition is unattainable. …”
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Reclassification of Variants Following Renal Genetics Testing: Uncommon Yet Impactful for Diagnosis and Management by Euyn Lim, Chloe Borden, Seysha Mehta, Mary-Beth Roberts, Sarah Mazzola, Fang Zhao, Xiangling Wang

“…Twenty amendments were issued across 19 pedigrees involving 19 variants in 17 genes. …”
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THE STUDY OF RS1800629 (G-308А) POLYMORPHISM OF THE TNF GENE IN PATIENTS WITH MYOCARDIAL INFARCTION WITH ELEVATED ST SEGMENT by M. V. Zykov, O. A. Makeeva, M. V. Golubenko, V. V. Kashtalap, V. N. Karetnikova, I. A. Goncharova, E. V. Kulish, L. S. Barbarash, O. L. Barbarash, V. P. Puzyrev

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Evaluating Biocompatibility: From Classical Techniques to State-of-the-Art Functional Proteomics by Ana Nuño-Soriano, Carlota Arias-Hidalgo, Enrique Montalvillo, Rafael Góngora, Ángela-Patricia Hernández, Pablo Juanes-Velasco, Manuel Fuentes

“…Biocompatibility remains a central issue for introducing biomaterials and nanomedicines into the clinic, requiring safety, functionality, toxicity prevention, and the control of foreign body reactions. …”
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Integrated analyses of copy number variations and gene expression in lung adenocarcinoma. by Tzu-Pin Lu, Liang-Chuan Lai, Mong-Hsun Tsai, Pei-Chun Chen, Chung-Ping Hsu, Jang-Ming Lee, Chuhsing Kate Hsiao, Eric Y Chuang

“…Identification of prognostic biomarkers for lung cancer using gene expression microarrays poses a major challenge in that very few overlapping genes have been reported among different studies. …”
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Cost-effective solutions for high-throughput enzymatic DNA methylation sequencing. by Amy Longtin, Marina M Watowich, Baptiste Sadoughi, Rachel M Petersen, Sarah F Brosnan, Kenneth Buetow, Qiuyin Cai, Cayo Biobank Research Unit, Michael D Gurven, James P Higham, Heather M Highland, Yi-Ting Huang, Hillard Kaplan, Thomas S Kraft, Yvonne A L Lim, Jirong Long, Amanda D Melin, Michael J Montague, Jamie Roberson, Kee Seong Ng, Michael L Platt, India A Schneider-Crease, Jonathan Stieglitz, Benjamin C Trumble, Vivek V Venkataraman, Ian J Wallace, Jie Wu, Noah Snyder-Mackler, Angela Jones, Alexander G Bick, Amanda J Lea

“…., assays that rely on microarrays, enzyme digests, or sequence capture to target a subset of the genome). …”
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