Target Name: MIR374C
NCBI ID: G100500807
Review Report on MIR374C Target / Biomarker Content of Review Report on MIR374C Target / Biomarker
MIR374C
Other Name(s): MicroRNA 374c | hsa-miR-374c-3p | hsa-miR-374c-5p | hsa-mir-374c | microRNA 374c | mir-374c

MIR374C: A Drug Target / Disease Biomarker

MIR374C, a protein located in the MIR300 gene family, has been identified as a potential drug target and biomarker for various diseases, including cancer, neurodegenerative diseases, and autoimmune disorders. Its unique structure and subcellular localization make it an attractive target for small molecules, antibodies, and other therapeutic agents.

The MIR374C protein is a 25kDa protein that is expressed in various tissues and organs, including brain, heart, liver, and muscle. It is localized to the endoplasmic reticulum (ER) and nuclear envelope (NE), which are both involved in the delivery and processing of proteins. The MIR374C protein is composed of 116 amino acid residues, with the first 20 residues encoded by the exon.

MIR374C functions as a negative regulator of microRNA (miRNA) expression, which plays a crucial role in post-transcriptional gene regulation. Specifically, it functions as a potent inhibitor of the miR-18a splicing complex, which is responsible for the production of mature miRNA from the 28nt primary transcript. MIR374C has been shown to physically interact with the miR-18a protein and prevent its access to the necessary machinery for splicing.

The MIR374C protein is also known for its role in the regulation of cellular processes, including cell adhesion, migration, and survival. It has been shown to play a negative role in the regulation of tight junction formation in epithelial cells, which is important for maintaining tissue structure and barrier function. Additionally, MIR374C has been linked to the regulation of mitochondrial function and energy metabolism, which are critical for maintaining cellular health and longevity.

MIR374C is also a potential biomarker for various diseases, including cancer. Its expression has been observed in various types of cancer, including breast, ovarian, and colorectal cancers. Additionally, MIR374C has been shown to be downregulated in cancer cells compared to their corresponding non-cancerous cell types, which could make it an attractive target for cancer therapeutics.

One of the challenges in targeting MIR374C is its subcellular localization. Despite its well-established function in the regulation of miRNA expression, MIR374C is not well-studied in its localization to specific cellular structures. Understanding the localization of MIR374C to cellular structures is crucial for the development of effective therapeutics for various diseases.

In conclusion, MIR374C is a protein with great potential as a drug target or biomarker. Its unique subcellular localization and its function as a negative regulator of miRNA expression make it an attractive target for small molecules, antibodies, and other therapeutic agents. Further research is needed to fully understand the localization of MIR374C to cellular structures and its potential role in the regulation of various diseases.

Protein Name: MicroRNA 374c

The "MIR374C 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 MIR374C 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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