bioRxivCancer Biology
High-affinity low-capacity and low-affinity high-capacity N-acetyl-2-aminofluorene (AAF) macromolecular binding sites are revealed during the growth cycle of adult rat hepatocytes in primary culture
Abstract
Long-term cultures of primary adult rat hepatocytes were used to study the effects of N-acetyl-2-aminofluorene (AAF) on hepatocyte proliferation during the growth cycle; on the initiation of hepatocyte DNA synthesis in quiescent cultures; and, on hepatocyte DNA replication following the initiation of DNA synthesis. Scatchard analyses were used to identify the pharmacologic properties of radiolabeled AAF metabolite binding to hepatocyte macromolecules. Two classes of growth cycle-dependent AAF metabolite binding sites - a high-affinity low-capacity site (designated Site I) and a low-affinity high-capacity site (designated Site II) - associated with two spatially distinct classes of macromolecular targets, were revealed. Based upon radiolabeled AAF metabolite binding to purified hepatocyte genomic DNA or to DNA, RNA, proteins and lipids from isolated nuclei, Site IDAY 4 targets (KD[APPARENT] {approx} 2-4 x 10-6 M and BMAX[APPARENT] {approx} 6 pmols/106 cells/24 h) were consistent with genomic DNA; and with AAF metabolized by a nuclear cytochrome P450. Based upon radiolabeled AAF binding to total cellular lysates, Site IIDAY 4 targets (KD[APPARENT] {approx} 1.5 x 10-3 M and BMAX[APPARENT] {approx} 350 pmols/106 cells/24 h) were consistent with cytoplasmic proteins; and with AAF metabolized by cytoplasmic cytochrome P450s. DNA synthesis was not inhibited by concentrations of AAF that saturated DNA binding in the neighborhood of the Site I KD. Instead, hepatocyte DNA synthesis inhibition required higher concentrations of AAF approaching the Site II KD. These observations raise the possibility that carcinogenic DNA adducts derived from AAF metabolites form below concentrations of AAF that inhibit replicative and repair DNA synthesis.
- organism: rat
- assay: proteomics
- research focus: cell signaling & trafficking
- approach: statistical model
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