Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Objective: To investigate the difference expression of circular RNA (circRNA) in acute myeloid leukemia (AML) by using bioinformatics method.
Methods: The microarray chip data of AML was searched and downloaded from the Gene Expression Omnibus (GEO) of the National Center for Bioinformatics (NCBI). The differences between AML samples and control samples were analyzed by R software. The interaction between deregulated circRNA, miRNA and mRNA were predicted by miranda software and miRTarBase software. The circRNA-miRNA-mRNA regulatory network was constructed by using the cytoHubba plugin based on the Cytoscape software.
Results: A total of 203 differential expression of circRNAs were finally collected, including down-regulated 161 circRNAs and up-regulated 42 circRNAs. CircRNA/miRNA/mRNA interaction network was constructed through software prediction. hsa_circ_0001080, hsa_circ_0004511, hsa_circ_0054211, hsa_circ_0001944 may be positively regulated the gene expression in AML.
Conclusion: Abnormal expression of circRNA in AML may become a new target for AML treatment.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.19746/j.cnki.issn.1009-2137.2021.06.005 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Deciphering the molecular landscape of acute myeloid leukemia initiation and relapse: a systems biology approach.
Med Oncol
September 2025
Division of Hematology and Blood Bank, Department of Medical Laboratory Sciences, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Acute Myeloid Leukemia (AML) patient-derived Mesenchymal Stem Cells (MSCs) behave differently than normal ones, creating a more protective environment for leukemia cells, making relapse harder to prevent. This study aimed to identify prognostic biomarkers and elucidate relevant biological pathways in AML by leveraging microarray data and advanced bioinformatics techniques. We retrieved the GSE122917 dataset from the NCBI Gene Expression Omnibus and performed differential expression analysis (DEA) within R Studio to identify differentially expressed genes (DEGs) among healthy donors, newly diagnosed AML patients, and relapsed AML patients.
View Article and Find Full Text PDFRNA sequencing of the lncRNA regulome modulated by Withania somnifera in human neuroblastoma SK-N-SH cells.
Mol Biol Rep
September 2025
Phytoveda Pvt. Ltd, Mumbai, 400022, India.
Background: The dysregulation of long-chain noncoding RNAs (lncRNAs) causes several complex human diseases including neurodegenerative disorders across the globe.
Methods And Results: This study aimed to investigate lncRNA expression profiles of Withania somnifera (WS)-treated human neuroblastoma SK-N-SH cells at different timepoints (3 & 9 h) and concentrations (50 & 100 µg/mL) using RNA sequencing. Differential gene expression analysis showed a total of 4772 differentially expressed lncRNAs, out of which 3971 were upregulated and 801 were downregulated compared to controls.
Dynamics and Persistence of a Generalized Multi-strain SIS Model.
Bull Math Biol
September 2025
Department of Mathematics, Siena University, 515 Loudon Road, Loudonville, NY, 12211, USA.
Autonomous differential equation compartmental models hold broad utility in epidemiology and public health. However, these models typically cannot account explicitly for myriad factors that affect the trajectory of infectious diseases, with seasonal variations in host behavior and environmental conditions as noteworthy examples. Fortunately, using non-autonomous differential equation compartmental models can mitigate some of these deficiencies, as the inclusion of time-varying parameters can account for temporally varying factors.
View Article and Find Full Text PDFIntegrative analysis identifies FERMT3 as a key regulator of metabolic reprogramming in keloid scarring and metabolic syndrome.
Funct Integr Genomics
September 2025
Department of Plastic Surgery, the First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China.
Keloid scarring and Metabolic Syndrome (MS) are distinct conditions marked by chronic inflammation and tissue dysregulation, suggesting shared pathogenic mechanisms. Identifying common regulatory genes could unveil novel therapeutic targets. Methods.
View Article and Find Full Text PDFThe second messenger signaling molecule cyclic di-AMP drives developmental cycle progression in .
Elife
September 2025
Department of Pathology, Microbiology, and Immunology, College of Medicine, University of Nebraska Medical Center, Omaha, United States.
The obligate intracellular bacterium alternates between two functional forms during its developmental cycle: elementary body (EB) and reticulate body (RB). However, the molecular mechanisms governing the transitions between these forms are unknown. Here, we present evidence that cyclic di-AMP (c-di-AMP) is a key factor in triggering the transition from RB to EB (i.
View Article and Find Full Text PDF