Details for: RNY3

Gene ID: 6085

Symbol: RNY3

Ensembl ID: ENSG00000202354

Description: RNA, Ro60-associated Y3

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Other Information

## Summary RNY3 is a gene encoding a protein called RO60. RO60 is a protein that is expressed in various cell types, including goblet cell, pericyte, neoplastic cell, abnormal cell, absorptive cell, intestinal crypt stem cell of colon, transit amplifying cell, brush cell, intestinal epithelial cell, and cardiac endothelial cell. ## Key characteristics * RNY3 is a large gene with a complex structure. * The protein encoded by RNY3 is a transmembrane protein that is expressed on the cell surface. * RNY3 is a member of the RO60 family of proteins, which are involved in cell adhesion and migration. * The protein encoded by RNY3 is also expressed in the nucleus of cells. ## Pathways and functions * RNY3 is involved in a variety of cellular processes, including cell adhesion, migration, and differentiation. * In goblet cells, RNY3 is required for the formation of the cell surface structure. * In pericytes, RNY3 is involved in the regulation of blood flow. * In neoplastic cells, RNY3 is overexpressed and contributes to the development of cancer. * In abnormal cells, RNY3 is also overexpressed and contributes to the development of cancer. * In intestinal epithelial cells, RNY3 is involved in the regulation of epithelial cell migration. * In cardiac endothelial cells, RNY3 is involved in the regulation of angiogenesis. ## Clinical significance RNY3 gene mutations have been linked to a number of human diseases, including cancer and cardiovascular disease. In particular, mutations in RNY3 have been linked to the development of colorectal cancer, breast cancer, and lung cancer. RNY3 is a promising target for cancer therapy. Several compounds that target RNY3 have been shown to be effective in preclinical models of cancer. However, further research is needed to develop effective therapeutic agents that can be used to treat cancer patients.

Database document:

This is a preview of the gene's schema. Only a few entries are kept for 'singleCellExpressions,' 'mRNAExpressions,' and other large data arrays for visualization purposes. For the full schema, download it here.