Results 11 to 20 of about 194,990 (329)
Gene Expression Microarray Data Identify Hub Genes Involved in Osteoarthritis
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]
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
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]
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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Background Dendritic cells (DCs) are most potent antigen-processing cells and play key roles in host defense against Mycobacterium tuberculosis (MTB) infection.
Xiao Wu +9 more
doaj +1 more source
Screening of potential hub genes in pulmonary thromboembolism
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]
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
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
openaire +2 more sources
Human induced pluripotent stem cells (hiPSCs) have been used extensively in vitro to model early events in neurodevelopment. Because of a number of shortcomings, previous work has established a potential to use these cells in vivo after transplantation ...
Célia Raïs +11 more
doaj +1 more source
Identification of key genes and biological pathways in Chinese lung cancer population using bioinformatics analysis [PDF]
Background Identification of accurate prognostic biomarkers is still particularly urgent for improving the poor survival of lung cancer patients.
Ping Liu +7 more
doaj +2 more sources

