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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
Emerging role of transcription factor-microRNA-target gene feed-forward loops in cancer
1Institute of Liver Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.
Abstract:
Transcriptional regulatory networks are biological network motifs that act in accordance with each other to play decisive roles in the pathological processes of cancer. One of the most common types, the feed-forward loop (FFL), has recently attracted interest. Three connected deregulated nodes, a transcription factor (TF), its downstream microRNA (miRNA) and their shared target gene can make up a class of cancer-involved FFLs as ≥1 of the 3 can act individually as a bona fide oncogene or a tumor suppressor. Numerous notable elements, such as p53, miR-17-92 cluster and cyclins, are proven members of their respective FFLs. Databases of interaction prediction, verification of experimental methods and confirmation of loops have been continually emerging during recent years. Development of TF-miRNA-target loops may help understand the mechanism of tumorgenesis at a higher level and explain the discovery and screening of the therapeutic target for drug exploitation.
Insights
Cancer involves transcriptional regulatory networks, particularly feed-forward loops (FFLs). These FFLs, comprising transcription factors (TFs), microRNAs (miRNAs), and target genes, are crucial for understanding tumorigenesis and identifying therapeutic targets.
Area of Science:
- Molecular Biology
- Genetics
- Cancer Research
Background:
- Transcriptional regulatory networks are key to cancer pathology.
- Feed-forward loops (FFLs) are significant network motifs within these processes.
- FFLs involving transcription factors (TFs), microRNAs (miRNAs), and target genes are implicated in cancer, with individual components acting as oncogenes or tumor suppressors.
Purpose of the Study:
- To highlight the role of TF-miRNA-target loops in cancer.
- To emphasize the growing interest and research in these specific FFLs.
- To underscore the potential of these loops for understanding tumorigenesis and drug discovery.
Main Methods:
- Review of existing literature on transcriptional regulatory networks and FFLs.
- Identification of key molecular players like p53, miR-17-92, and cyclins within FFLs.
- Discussion of emerging databases and experimental methods for loop verification.
Main Results:
- TF-miRNA-target loops are a critical class of FFLs in cancer.
- Several well-known cancer-related molecules are components of these loops.
- Advancements in databases and experimental techniques are facilitating the study of these interactions.
Conclusions:
- TF-miRNA-target loops offer a deeper understanding of cancer mechanisms.
- These loops represent promising targets for novel cancer therapies and drug development.
- Continued research into these regulatory networks is vital for future oncological advancements.
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