Details for: NAT2

Gene ID: 10

Symbol: NAT2

Ensembl ID: ENSG00000156006

Description: N-acetyltransferase 2

Associated with

  • Acetylation
  • Arylamine n-acetyltransferase activity
  • Biological oxidations
  • Cytosol
  • Drug adme
  • Metabolism
  • Paracetamol adme
  • Phase ii - conjugation of compounds
  • Protein binding
  • Xenobiotic metabolic process
**Summary:** The NAT2 gene encodes a protein called N-acetyltransferase 2 (ARY2). It is a protein involved in the metabolism of drugs and other chemicals. **Key characteristics:** * The NAT2 gene is located on chromosome 15q21.1. * It is a large gene, encoding a protein of 1,594 amino acids. * The protein is expressed in a variety of cell types, including blood vessel endothelial cells, conventional dendritic cells, cardiac endothelial cells, granulocyte monocyte progenitor cells, B cells, cerebral cortex GABAergic interneurons, forebrain radial glial cells, tuft cells of the colon, and human absorptive cells. **Pathways and functions:** * The NAT2 gene is involved in several metabolic pathways, including acetylation, arylamine n-acetyltransferase activity, biological oxidations, cytosol, drug adme, metabolism, paracetamol adme, phase II - conjugation of compounds, and xenobiotic metabolic process. * The protein is involved in the metabolism of a variety of drugs, including paracetamol and methadone. * It is also involved in the detoxification of carcinogens. **Clinical significance:** * Mutations in the NAT2 gene have been linked to several human diseases, including liver disease, cancer, and drug addiction. * The NAT2 gene is a promising target for the development of new drugs to treat these diseases. **Additional information:** * The NAT2 gene is also known as NR1. * It is a highly expressed gene, with high levels of expression in the liver, kidney, and lungs. * Mutations in the NAT2 gene have been shown to be associated with an increased risk of developing liver disease, cancer, and drug addiction.


Only first 5 entries are kept for 'singleCellExpressions', 'mRNAExpressions' and other large data arrays.