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An In Vitro Protocol for Evaluating MicroRNA Levels, Functions, and Associated Target Genes in Tumor Cells
Published on: May 21, 2019
Human microRNA oncogenes and tumor suppressors show significantly different biological patterns: from functions to
Dong Wang1, Chengxiang Qiu, Haijun Zhang
1Department of Biomedical Informatics, Peking University Health Science Center, Beijing, China.
Abstract:
MicroRNAs (miRNAs) are small noncoding RNAs which play essential roles in many important biological processes. Therefore, their dysfunction is associated with a variety of human diseases, including cancer. Increasing evidence shows that miRNAs can act as oncogenes or tumor suppressors, and although there is great interest in research into these cancer-associated miRNAs, little is known about them. In this study, we performed a comprehensive analysis of putative human miRNA oncogenes and tumor suppressors. We found that miRNA oncogenes and tumor suppressors clearly show different patterns in function, evolutionary rate, expression, chromosome distribution, molecule size, free energy, transcription factors, and targets. For example, miRNA oncogenes are located mainly in the amplified regions in human cancers, whereas miRNA tumor suppressors are located mainly in the deleted regions. miRNA oncogenes tend to cleave target mRNAs more frequently than miRNA tumor suppressors. These results indicate that these two types of cancer-associated miRNAs play different roles in cancer formation and development. Moreover, the patterns identified here can discriminate novel miRNA oncogenes and tumor suppressors with a high degree of accuracy. This study represents the first large-scale bioinformatic analysis of human miRNA oncogenes and tumor suppressors. Our findings provide help for not only understanding of miRNAs in cancer but also for the specific identification of novel miRNAs as miRNA oncogenes and tumor suppressors. In addition, the data presented in this study will be valuable for the study of both miRNAs and cancer.
Insights
MicroRNA oncogenes and tumor suppressors exhibit distinct characteristics and functions in cancer development. This comprehensive bioinformatic analysis differentiates their roles, aiding in the identification of novel cancer-associated microRNAs.
Area of Science:
- Genomics and Molecular Biology
- Cancer Research
- Bioinformatics
Background:
- MicroRNAs (miRNAs) are small noncoding RNAs crucial for biological processes.
- miRNA dysfunction is linked to human diseases, notably cancer, where they can act as oncogenes or tumor suppressors.
- Limited understanding exists regarding the specific roles and characteristics of cancer-associated miRNAs.
Purpose of the Study:
- To conduct a comprehensive bioinformatic analysis of human miRNA oncogenes and tumor suppressors.
- To identify and differentiate distinct patterns between miRNA oncogenes and tumor suppressors.
- To develop a method for accurately discriminating novel miRNA oncogenes and tumor suppressors.
Main Methods:
- Large-scale bioinformatic analysis of human miRNA oncogenes and tumor suppressors.
- Comparative analysis of functional patterns, evolutionary rates, expression, chromosomal distribution, molecule size, free energy, transcription factors, and targets.
- Identification of distinguishing features between oncogenic and tumor-suppressive miRNAs.
Main Results:
- Significant differences were observed between miRNA oncogenes and tumor suppressors in function, evolution, expression, chromosomal location, and molecular properties.
- miRNA oncogenes are predominantly located in amplified cancer regions, while tumor suppressors are found in deleted regions.
- miRNA oncogenes exhibit a higher frequency of target mRNA cleavage compared to miRNA tumor suppressors.
Conclusions:
- Cancer-associated miRNA oncogenes and tumor suppressors play distinct roles in cancer initiation and progression.
- The identified patterns enable accurate discrimination of novel miRNA oncogenes and tumor suppressors.
- This study provides valuable insights for understanding miRNA involvement in cancer and identifying new therapeutic targets.
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