A putative gene-for-gene relationship between the Erwinia amylovora effector gene eop1 and the FB_Mar12 resistance locus of Malus ×arnoldiana accession MAL0004 by Ofere Francis Emeriewen, Holger Zetzsche, Thomas Wolfgang Wöhner, Henryk Flachowsky, Andreas Peil

“…In this report, we provide evidence that this gene locus is completely broken down by a mutant strain of the E. amylovora effector protein Eop1 (Δeop1) following artificial shoot inoculations of an ‘Idared’ × MAL0004 F1 progeny set, indicating a gene-for-gene interaction. Interestingly, Δeop1 does not overcome the resistance of the FB_Mar12 donor MAL0004 itself, but only the QTL on LG12, an indication that other resistance factors, possibly QTLs/genes are contributing to the fire blight resistance of MAL0004.…”
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Adrenocortical carcinoma survival gene HMMR was identified as being targeted by fluorouracil and epirubicin using a gene coexpression network-based drug repositioning strategy by Zahra Jafari, Seyed-Morteza Javadirad, Seyede Elmira Yazdi Rouholamini

“…Network analysis identified transcription factors that regulate hub genes. Drug-gene interaction network analyses were performed to reposition existing drugs. …”
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Hypoxia-associated genes and metabolic abnormalities in peripheral blood mononuclear cells of type 1 diabetes mellitus patients by Wen-biao Ma, Xue-ying Wang, Yuan-yuan Zuo

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Aging associated immunosenescence in rheumatoid arthritis identified by machine learning and single cell profiling by Xinxin Ji, Lingyun Li, Yuanzhuo Jiao, Hui Cheng

“…Differential analysis revealed 50 age-related differentially expressed genes (ARDEGs) that intersected with senescent genes. Hub genes were identified through protein-protein interaction (PPI) network analysis as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. …”
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Network Pharmacology, Molecular Docking and Experimental Verification to Explore the Mechanism of Chicoric Acid against Hepatocellular Carcinoma by Wenqian XU, Liangliang ZHANG, Yiping ZHAO, He QIAN, Jianguo XU

“…Swiss Target Prediction database was used to predict the potential target of CA, while Liverome and Onco DB.HCC databases were integrated to screen HCC-related targets. The protein interaction network was constructed using Cytoscape, followed by GO (Gene Ontology) biological function and KEGG (Kyoto Encyclopedia of Genes and Genes) pathway analyses via the DAVID database. …”
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Ubiquitin-related Protein IFNGR1 as Causal Factor and Drug Target for Keloids: A Mendelian Randomization Analysis by Yeltai Nurzat, PhD, Zhenhe Guo, PhD, Julong Hu, PhD, Zaihuan Lin, MD, Qi Zhang, PhD, Gang Liang, MD, Hang Ji, PhD, MD, Xiaowen Zhang, PhD, MD

“…The single-nucleotide polymorphism identifiers of keloid were obtained from the Open Genome-Wide Association Study database, and ubiquitin-related genes from GeneCards database. Five techniques were used for MR analysis during the research, with the accuracy of MR results evaluated by sensitivity analysis. …”
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Identification of a novel, pathogenic CREBBP variant in a patient with Menke-Hennekam syndrome: a Case Report by Anna Μaria Anastasiou, Anna Μaria Anastasiou, Constantia Aristidou, Athina Theodosiou, Ludmila Kousoulidou, Ioannis Papaevripidou, Angelos Alexandrou, Paola Evangelidou, Carolina Sismani, George A. Tanteles, George A. Tanteles, Despina Sanoudou, Despina Sanoudou, Aristides G. Eliopoulos, Aristides G. Eliopoulos

“…Menke-Hennekam syndrome (MKHK) is a recently described rare autosomal dominant disorder caused by loss-of-function variants in exon 30 or 31 of CREBBP (CREB-binding protein) or EP300 genes. These genes encode transcriptional coactivators with a key role in chromatin remodeling and regulation of gene expression. …”
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WGCNA combined with machine learning for analysis of diagnostic markers of preeclampsia associated with the hedgehog signaling pathway by Xiaofeng Wang, Yichi Xu, Junpeng Dong, Jinwen Zhang, Wei Gu, Xiaoli Qin

“…Following the intersection of the two genes, key genes were screened by using LASSO, SVM-RFE, and RF. …”
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Mutational landscape of pure ductal carcinoma in situ and associations with disease prognosis and response to radiotherapy by Noor Rizvi, Eliseos J. Mucaki, Emily L. Salmini, Monica Zhang, Sabina Trebinjac, Ezra Hahn, Lawrence Paszat, Sharon Nofech-Mozes, Michael T. Hallett, Eileen Rakovitch, Vanessa Dumeaux

“…Copy number analyses revealed that pure DCIS exhibits molecular subtype-specific patterns characteristic of invasive disease, with novel alterations associated with recurrence, including three non-adjacent gains and five losses in regions harboring oncogenes, tumor suppressor genes, and genes regulating structural integrity, cell-cell adhesion and interactions. …”
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