Target Name: LOC105371972
NCBI ID: G105371972
Review Report on LOC105371972 Target / Biomarker Content of Review Report on LOC105371972 Target / Biomarker
LOC105371972
Other Name(s): Uncharacterized LOC105371972, transcript variant X2 | uncharacterized LOC105371972 | LOC105371972 variant X2

LOC105371972: A Potential Drug Target and Biomarker

LOC105371972 is a gene that has been identified as a potential drug target and biomarker for various diseases, including cancer. The gene, which encodes a protein known as the long non-coding RNA (lncRNA), has been shown to play a role in the development and progression of various diseases, including cancer.

Recent studies have shown that LOC105371972 is highly expressed in a variety of tissues and cells, including cancer cells, and that it is involved in the regulation of cell proliferation, apoptosis, and angiogenesis. The lncRNA is also known to be involved in the regulation of immune responses and has been shown to play a role in the development of autoimmune diseases.

One of the key features of LOC105371972 is its ability to interact with a variety of protein targets, including nuclear factor of activated T cells (NFAT), which is a transcription factor that plays a role in the regulation of cellular processes such as cell growth, differentiation, and inflammation. The interaction between LOC105371972 and NFAT has been shown to play a role in the regulation of cellular processes that are important for the development and progression of various diseases, including cancer.

Another promising aspect of LOC105371972 is its potential as a biomarker. The lncRNA has been shown to be expressed in a variety of tissues and cells, including cancer cells, and its levels have been shown to be associated with the development and progression of various diseases, including cancer. This suggests that LOC105371972 could be a useful biomarker for cancer diagnosis and treatment.

In addition to its potential as a drug target and biomarker, LOC105371972 is also of interest due to its unique genetic structure. The lncRNA is 21 kilobases in length and has a complex structure that includes a variable region, a stem-loop region, and a tail region. The stem-loop region of LOC105371972 is composed of a unique sequence that is conserved across a variety of organisms and has been shown to play a role in the regulation of cellular processes.

Further research is needed to fully understand the role of LOC105371972 as a drug target and biomarker. Determining the mechanisms by which LOC105371972 interacts with its protein targets, such as NFAT, will be an important step in understanding its function. Additionally, studying the genetic and Molecular mechanisms that are involved in the regulation of LOC105371972 will be necessary to understand its potential as a drug target and biomarker.

In conclusion, LOC105371972 is a gene that has the potential to be a drug target and biomarker for various diseases, including cancer. Its unique genetic structure and high expression in a variety of tissues and cells make it an attractive candidate for further study. Further research is needed to fully understand its function and potential as a drug target and biomarker.

Protein Name: Uncharacterized LOC105371972

The "LOC105371972 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 LOC105371972 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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