Details for: ABCF1

Gene ID: 23

Symbol: ABCF1

Ensembl ID: ENSG00000204574

Description: ATP binding cassette subfamily F member 1

Associated with

  • Abc-family proteins mediated transport
  • Atp binding
  • Atp hydrolysis activity
  • Cytosol
  • Inflammatory response
  • Membrane
  • Nuclear envelope
  • Nucleoplasm
  • Protein binding
  • Rna binding
  • Translation
  • Translation factor activity, rna binding
  • Transport of small molecules
**Summary:** ABCF1 is a protein that is involved in the regulation of cellular energy production. It is a member of the ABCF family of ATP-binding cassette proteins, which are responsible for the transport of small molecules between the cytosol and the nucleus. ABCF1 is expressed in a variety of cell types, including extravillous trophoblast, fibroblast of mammary gland, bladder urothelial cell, CD8-positive, alpha-beta memory T cell, placental villous trophoblast, stromal cell of ovary, cortical thymic epithelial cell, basal cell of prostate epithelium, and cell in vitro. **Key characteristics:** * ABCF1 is a protein of approximately 130 kDa. * It is a transmembrane protein with a cytoplasmic domain and two transmembrane domains. * It is a chaperone protein that is involved in the folding and trafficking of other proteins. * ABCF1 is a highly conserved protein, with a similar sequence in mammals and humans. **Pathways and functions:** * ABCF1 is involved in the regulation of cellular energy production. * It is a key regulator of the expression of genes involved in fatty acid uptake, oxidation, and metabolism. * It also regulates the activity of mitochondrial enzymes. * ABCF1 is involved in the regulation of inflammation and cell growth. **Clinical significance:** * Mutations in ABCF1 have been linked to a number of human diseases, including breast cancer, ovarian cancer, and diabetes. * ABCF1 is a potential target for cancer therapy. * By targeting ABCF1, it may be possible to inhibit cancer growth and metastasis.


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