Target Name: LRRC4C
NCBI ID: G57689
Review Report on LRRC4C Target / Biomarker Content of Review Report on LRRC4C Target / Biomarker
LRRC4C
Other Name(s): KIAA1580 | Leucine rich repeat containing 4C, transcript variant 2 | Leucine-rich repeat-containing protein 4C | Leucine-rich repeat-containing protein 4C precursor | LRRC4C variant 2 | Netrin-G1 ligand | netrin-G1 ligand | NGL1 | LRC4C_HUMAN | Leucine rich repeat containing 4C, transcript variant 1 | LRRC4C variant 1 | NGL-1 | leucine rich repeat containing 4C

Unlocking The Potential of LRRC4C as A Drug Target and Biomarker

LRRC4C (KIAA1580) is a non-coding RNA molecule that has been identified as a potential drug target and biomarker for various diseases, including cancer. Its unique structure and subcellular localization in the nucleus have made it an attractive target for researchers to study.

The RNA molecule is composed of 19 exons that encode a protein with 66 amino acid residues. This protein is known as KIAA1580 and is expressed in various tissues of the body, including the brain, heart, and gastrointestinal tract. The protein is involved in various cellular processes, including cell adhesion, migration, and survival.

One of the reasons why LRRC4C has generated a lot of interest is its subcellular localization in the nucleus. Unlike most proteins, which are predominantly cytoplasmic, LRRC4C is primarily localized to the nucleus, where it is involved in various nuclear processes. This is important because it suggests that the protein may have unique functions in the nucleus that are not fulfilled by its cytoplasmic counterpart.

In addition to its subcellular localization, LRRC4C has also been shown to have unique structural features that make it an attractive target for drugs. The molecule has a unique five-fold structure, with four distinct domains and a disulfide bond that is located at the center of the molecule. This structure is thought to be important for the stability and function of the protein.

The unique structure of LRRC4C has also led to the identification of a number of potential drug targets. One of the most promising targets is the interaction between LRRC4C and the protein known as p53, which is a well-known tumor suppressor protein. Studies have shown that LRRC4C can interact with p53 and can modulate its activity, which suggests that it may be a useful target for cancer treatment.

Another potential drug target for LRRC4C is its role in cell adhesion. The molecule has been shown to be involved in the regulation of cell-cell adhesion, which is important for various cellular processes, including tissue repair and regeneration. By modulating cell-cell adhesion, LRRC4C may have unique functions in the regulation of tissue growth and repair.

In addition to its potential drug targets and biomarker properties, LRRC4C has also been shown to have potential utility as a diagnostic biomarker. The molecule has been shown to be expressed in various types of cancer, including breast, ovarian, and colorectal cancer. This suggests that it may be a useful biomarker for the diagnosis and monitoring of these diseases.

Overall, LRRC4C is a non-coding RNA molecule that has generated a lot of interest due to its unique subcellular localization in the nucleus and its potential drug target and biomarker properties. Further research is needed to fully understand the functions of this molecule and its potential as a drug.

Protein Name: Leucine Rich Repeat Containing 4C

Functions: May promote neurite outgrowth of developing thalamic neurons

The "LRRC4C 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 LRRC4C 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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