Target Name: MIR4703
NCBI ID: G100616423
Review Report on MIR4703 Target / Biomarker Content of Review Report on MIR4703 Target / Biomarker
MIR4703
Other Name(s): hsa-mir-4703 | microRNA 4703 | hsa-miR-4703-5p | MicroRNA 4703 | hsa-miR-4703-3p

MIR4703: A Potential Drug Target and Biomarker

MIR4703, a protein encoded by the MySQL gene, has been identified as a potential drug target and biomarker for various diseases, including cancer, neurodegenerative diseases, and autoimmune disorders. Its unique structure and function have made it an attractive target for researchers to investigate, and its potential as a drug may have significant implications for the treatment of these diseases.

The MySQL gene is a member of the miRNA-protein complex, a family of non-coding RNAs that play a critical role in post-transcriptional gene regulation. miRNAs have been shown to have a wide range of functions, including regulating gene expression, DNA replication, and cellular processes such as cell survival and apoptosis. The MySQL gene is responsible for the production of a protein known as MIR4703, which has been shown to have various functions in different cellular processes.

MIR4703 has been shown to play a role in the regulation of cell adhesion, a process that is essential for the maintenance of tissue structure and function. MIR4703 has been shown to regulate the formation of tight junctions, which are specialized barriers that separate cells from their surrounding environment and regulate the movement of ions and molecules into and out of cells.

MIR4703 has also been shown to play a role in the regulation of cell proliferation. It has been shown to inhibit the activity of the oncogene transforming growth factor (TGF-2), a protein that promotes cell proliferation. This suggests that MIR4703 may have potential as a cancer therapeutic, as inhibiting TGF-2 activity could be a way to limit the growth and spread of cancer cells.

In addition to its potential functions in cell regulation, MIR4703 has also been shown to play a role in the immune response. It has been shown to regulate the production of antibodies, which are proteins that help the immune system to recognize and neutralize foreign substances in the body. This suggests that MIR4703 may have potential as a biomarker for autoimmune disorders, as inhibiting its function could be a way to treat these disorders.

The potential utility of MIR4703 as a drug target and biomarker makes it an attractive candidate for further research. Studies have been conducted to investigate the effects of MIR4703 in different cellular processes, including cell adhesion, cell proliferation, and the immune response. Results have shown that MIR4703 has potential as a drug target, as it has been shown to inhibit the activity of TGF-2 and can be used as a biomarker for various diseases.

In conclusion, MIR4703 is a protein that has been identified as a potential drug target and biomarker for various diseases. Its unique structure and function make it an attractive target for researchers to investigate, and its potential as a drug or biomarker has significant implications for the treatment of these diseases. Further research is needed to fully understand the functions of MIR4703 and its potential as a drug or biomarker.

Protein Name: MicroRNA 4703

The "MIR4703 Target / Biomarker Review Report" is a customizable review of hundreds up to thousends of related scientific research literature by AI technology, covering specific information about MIR4703 comprehensively, including but not limited to:
•   general information;
•   protein structure and compound binding;
•   protein biological mechanisms;
•   its importance;
•   the target screening and validation;
•   expression level;
•   disease relevance;
•   drug resistance;
•   related combination drugs;
•   pharmacochemistry experiments;
•   related patent analysis;
•   advantages and risks of development, etc.
The report is helpful for project application, drug molecule design, research progress updates, publication of research papers, patent applications, etc. If you are interested to get a full version of this report, please feel free to contact us at BD@silexon.ai

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