Results 11 to 20 of about 243,473 (347)
Identification of the Hub Genes in Alzheimer’s Disease [PDF]
Computational and Mathematical Methods in Medicine, 2021 Purpose. Alzheimer’s disease (AD) is considered to be the most common neurodegenerative disease and also one of the major fatal diseases affecting the elderly, thus bringing a huge burden to society. Therefore, identifying AD-related hub genes is extremely important for developing novel strategies against AD. Materials and Methods.
Huiwen Gui +4 more
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The Nuclear Lamina as a Gene-silencing Hub [PDF]
Current Issues in Molecular Biology, 2012 There is accumulating evidence that the nuclear periphery is a transcriptionally repressive compartment. A surprisingly large fraction of the genome is either in transient or permanent contact with nuclear envelope, where the majority of genes are maintained in a silent state, waiting to be awakened during cell differentiation.
Yuri Y. Shevelyov
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Nuclear speckles: dynamic hubs of gene expression regulation [PDF]
The FEBS Journal, 2021 Complex, multistep biochemical reactions that routinely take place in our cells require high concentrations of enzymes, substrates, and other structural components to proceed efficiently and typically require chemical environments that can inhibit other reactions in their immediate vicinity.
İbrahim Avşar Ilık, Tuğçe Aktaş
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Gene Expression Microarray Data Identify Hub Genes Involved in Osteoarthritis
Frontiers in Genetics, 2022 The present study was performed to explore the underlying molecular mechanisms and screen hub genes of osteoarthritis (OA) via bioinformatics analysis. In total, twenty-five OA synovial tissue samples and 25 normal synovial tissue samples were derived from three datasets, namely, GSE55457, GSE55235, and GSE1919, and were used to identify the ...
Jian Zhou +9 more
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Bioinformatic analysis of potential hub genes in gastric adenocarcinoma [PDF]
Science Progress, 2021 Gastric adenocarcinoma is the most common histologic type of gastric cancer; however, the pathogenic mechanisms remain unclear. To improve mechanistic understanding and identify new treatment targets or diagnostic biomarkers, we used bioinformatic tools to predict the hub genes related to the process of gastric adenocarcinoma development from public ...
Hao Liu +5 more
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Identification of potential hub genes of gastric cancer
Medicine, 2022 Abstract Background Gastric cancer (GC) is a malignant tumor originated from gastric mucosa epithelium. It is the third leading cause of cancer mortality in China. The early symptoms are not obvious. When it is discovered, it has developed to the advanced stage, and the prognosis is poor.
Xu-Dong Zhou +6 more
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Enhanced construction of gene regulatory networks using hub gene information [PDF]
BMC Bioinformatics, 2017 Gene regulatory networks reveal how genes work together to carry out their biological functions. Reconstructions of gene networks from gene expression data greatly facilitate our understanding of underlying biological mechanisms and provide new opportunities for biomarker and drug discoveries.
Donghyeon Yu +4 more
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Screening of potential hub genes in pulmonary thromboembolism
Experimental and Therapeutic Medicine, 2021 Pulmonary thromboembolism (PTE) is a fatal clinical syndrome that usually occurs in elderly individuals. The present study aimed to identify functional and key genes involved in the early diagnosis of PTE using bioinformatics analysis. The GSE84738 dataset was retrieved from the Gene Expression Omnibus database.
Lu, Yan +4 more
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Weighted gene co-expression network analysis of hub genes in lung adenocarcinoma [PDF]
Evolutionary Bioinformatics, 2021 Lung adenocarcinoma (LUAD) is a tumor with high incidence. This study aimed to identify the central genes of LUAD. LUAD were analyzed by weighted gene co-expression network (WGCNA), and differentially expressed genes (DEGs) were identified. Samples were obtained from The Cancer Genome Atlas (TCGA) and Genotype Tissue Expression (GTEx) databases and ...
Xuan Luo +4 more
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Uncovering hub genes in sepsis through bioinformatics analysis
Medicine, 2023 In-depth studies on the mechanisms of pathogenesis of sepsis and diagnostic biomarkers in the early stages may be the key to developing individualized and effective treatment strategies. This study aimed to identify sepsis-related hub genes and evaluate their diagnostic reliability.
Zhao Liu +3 more
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