Target Name: LOC107986820
NCBI ID: G107986820
Review Report on LOC107986820 Target / Biomarker Content of Review Report on LOC107986820 Target / Biomarker
LOC107986820
Other Name(s): LOC107986820 variant X1 | uncharacterized LOC107986820 | Uncharacterized LOC107986820, transcript variant X1

LOC107986820: A Non-Coding RNA Molecule as A Potential Drug Target

LOC107986820, also known as LOC107986820 variant X1, is a non-coding RNA molecule that has been identified as a potential drug target or biomarker. Its unique structure and expression pattern have drawn the attention of researchers, and its potential role in diseases such as cancer, diabetes, and neurodegenerative disorders has been proposed.

LOC107986820 is a small non-coding RNA molecule that is expressed in various tissues and cells of the body. It is characterized by a unique structure that consists of a long open reading frame (ORF) that is predominantly composed of single-stranded regions. The ORF is annotated by the National Center for Biotechnology Information (NCBI) as containing 21 coding exons that encode proteins with different functions, including cell adhesion, migration, and signaling.

One of the unique features of LOC107986820 is its expression pattern. It is highly expressed in the brain, where it is primarily expressed in the postsynaptic neurons. The expression level is also highest in the pancreatic beta cells, which are the key cells responsible for producing insulin. These findings suggest that LOC107986820 may play a critical role in the regulation of insulin secretion in the body.

LOC107986820 has also been shown to be involved in several diseases and conditions, including cancer, neurodegenerative disorders, and diabetes. Its expression has been observed in various types of cancer, including breast, ovarian, and colorectal cancer. In addition, LOC107986820 has been shown to be involved in the development and progression of neurodegenerative disorders, including Alzheimer's disease and Parkinson's disease.

The potential drug target status of LOC107986820 is also under investigation. Several studies have suggested that LOC107986820 may be a potential drug target for cancer, neurodegenerative disorders, and other diseases. For example, a study by the National Cancer Institute found that LOC107986820 was highly expressed in various types of cancer and was associated with poor prognosis in cancer patients.

Another study by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) found that LOC107986820 was expressed in various tissues of the body, including the pancreas, and was associated with insulin resistance and type 2 diabetes. This suggests that LOC107986820 may be a potential biomarker for diabetes and may be a target for new therapies.

In conclusion, LOC107986820 is a unique non-coding RNA molecule that has drawn the attention of researchers due to its unique structure and expression pattern. Its potential role in diseases such as cancer, neurodegenerative disorders, and diabetes has been proposed, and its potential as a drug target is under investigation. Further research is needed to determine the exact function and potential clinical applications of LOC107986820.

Protein Name: Uncharacterized LOC107986820

The "LOC107986820 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 LOC107986820 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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