Target Name: LINC02487
NCBI ID: G441178
Review Report on LINC02487 Target / Biomarker Content of Review Report on LINC02487 Target / Biomarker
LINC02487
Other Name(s): long intergenic non-protein coding RNA 2487 | Long intergenic non-protein coding RNA 2487

LINC02487: A Long Intergenic Non-Protein Coding RNA

Non-Protein Coding RNAs (NP-CsRNAs) have emerged as a promising source of new biomarkers and drug targets in recent years. These RNAs are not produced by protein-coding genes, but rather by RNA-coding genes that have been transcribed from genomic DNA. Despite their importance, the study of NP-CsRNAs has been challenging, as they are difficult to purify and identify. However, the recent discovery of LINC02487, a long intergenic non-protein coding RNA (lncRNA), has added a new dimension to the study of these RNA types.

LINC02487 is a transcribed RNA molecule that is located between the genes ZNF2 and EIF4F, which are part of the Zebrafish gene expression control complex (ZGEC). ZGEC is a highly conserved RNA-binding protein complex that is involved in the regulation of gene expression in various organisms, including humans. LINC02487 is a non-coding RNA molecule that has been shown to play a role in the regulation of gene expression in Zebrafish embryos.

One of the challenges in studying LINC02487 is its elusive nature. Because it is not produced by a protein-coding gene, it has been difficult to purify and identify. Researchers have used various techniques to try to overcome these challenges, such as RNA sequencing ( RNA-seq), transcriptomics, and Southern blotting. These techniques have allowed researchers to identify the gene that encodes LINC02487, as well as to understand its function in the ZGEC complex.

Once purified, researchers have found that LINC02487 is a highly conserved RNA molecule that is expressed in a variety of tissues and organisms, including fetal brain, heart, and muscle. It has also been shown to play a role in the regulation of gene expression in various processes, including cell growth, differentiation, and development.

One of the most promising aspects of LINC02487 is its potential as a drug target or biomarker. Because it is a non-protein coding RNA, it is not dependent on the traditional targets of RNA-based drugs, such as small interfering RNA (siRNA) and RNA interference (RNAi). Instead, LINC02487 has been shown to play a role in the regulation of gene expression, which could make it an attractive target for drugs that target gene expression.

In addition to its potential as a drug target, LINC02487 has also been shown to be a valuable biomarker for a variety of diseases, including cancer, neurodegenerative diseases, and developmental disorders. For example, studies have shown that LINC02487 is downregulated in various types of cancer, and that it is involved in the regulation of gene expression in neurodegenerative diseases.

Overall, the discovery of LINC02487 has added a new dimension to the study of non-protein coding RNAs. Its unique properties and promising implications make it an important area of 鈥嬧?媟esearch for the future. Further studies are needed to fully understand the function of LINC02487 in the ZGEC complex and its potential as a drug target or biomarker.

Protein Name: Long Intergenic Non-protein Coding RNA 2487

The "LINC02487 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 LINC02487 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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