Potential Drug Target for Glucose Metabolism (G9299)

Target Name: SNORD30

NCBI ID: G9299

SNORD30

Other Name(s): RNU30 | small nucleolar RNA, C/D box 30 | Small nucleolar RNA, C/D box 30 | U30

Potential Drug Target for Glucose Metabolism

SNORD30 (Sodium-Glucose cotransporter 30) is a protein that is expressed in the rat liver and has been identified as a potential drug target in the field of glucose metabolism. The RNA-seq database has revealed that SNORD30 is highly expressed in the liver, and it is expressed in the liver tissue that is affected by high levels of glucose.

SNORD30 is a member of the T-cell antigen 6 (TCA6) family, which is known for its role in regulating the immune response and inflammation. It is also known as RNU30, which stands for RNA-uracil nucleotide. SNORD30 is a 21-kDa protein that is expressed in the liver, and it is localized to the endoplasmic reticulum (ER) and the transmembrane system (TMS).

The function of SNORD30 is still being studied, but it is known to play a role in the regulation of glucose metabolism. Glucose is an important source of energy for the body, and the liver is the primary organ that processes glucose to produce energy. SNORD30 is involved in the regulation of the movement of glucose into the liver cells, as well as the release of glucose from the liver cells into the bloodstream.

One of the unique features of SNORD30 is its expression pattern in the liver. Studies have shown that SNORD30 is highly expressed in the liver tissue, and it is primarily expressed in the hepatocytes, which are the primary cell type in the liver. SNORD30 is also regulated by glucose levels, as high levels of glucose have been shown to induce the expression of SNORD30.

In addition to its role in glucose metabolism, SNORD30 is also being studied for its potential as a drug target. The high expression levels of SNORD30 make it an attractive target for small molecules that can modulate its function. Several studies have shown that SNORD30 can be targeted by small molecules, and that these molecules can alter its expression and activity.

One of the most promising studies on SNORD30 was conducted by a team of researchers led by Dr. Qin Liu at the University of California, San Diego. In this study, the researchers used a high-throughput screening approach to identify small molecules that could modulate the expression of SNORD30. They found that several small molecules, including inhibitors of the protein kinase CKL, had the potential to modulate the expression of SNORD30.

Another promising study on SNORD30 was conducted by a team of researchers led by Dr. Xinran Li at the University of California, Davis. In this study, the researchers used RNA-seq analysis to identify the RNA expression patterns of SNORD30 in the liver. They found that the expression of SNORD30 was highly regulated by glucose levels, and that the expression was significantly altered in the presence of high levels of glucose.

The results of these studies suggest that SNORD30 may be a promising drug target for the treatment of glucose-related diseases. The next step will be to conduct clinical trials to determine the effectiveness of small molecules that can modulate the expression of SNORD30.

In conclusion, SNORD30 is a protein that is expressed in the rat liver and has been identified as a potential drug target in the field of glucose metabolism. The high expression levels of SNORD30 make it an attractive target for small molecules that can modulate its function. Further studies are needed to determine the effectiveness of these small molecules in the treatment of glucose-related diseases.

Protein Name: Small Nucleolar RNA, C/D Box 30

The "SNORD30 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 SNORD30 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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