Correlation between hydrophobic properties and efficiency of carrier-mediated membrane transduction and apoptosis of a p53 C-terminal peptide

Two membrane transporters, the 17 amino acid (aa) oligopeptide penetratin derived from the homeodomain of Antennapedia (Ant) and an analogue of the basic domain of TAT (aa 47-57) (TAT-a) from HIV-1, were tested as carriers for a p53 C-terminal peptide (aa 361-382) into human breast cancer cells. The studies were performed to determine whether the membrane-transduction efficiency of membrane carriers: Ant, TAT or TAT analogue (TAT-a) correlated with peptide hydrophobic features. Peptide-sequence analysis clearly demonstrated that the Ant sequence and p53 peptide sequence (p53p) together created a peptide with enhanced hydrophobic characteristics; while the TAT or TAT analogue (TAT-a) and p53p sequence together created a peptide with significantly less hydrophobic qualities. The degree of hydrophobic moment and helical wheel plots for these peptides correlated directly with their ability to transduce the p53 peptide. Western blot analysis revealed that Ant was able to transduce p53 C-terminal peptide into human breast cancer cells as a highly efficient membrane transporter. Compared to Ant, TAT-a fused to the C-terminus of p53 peptide (p53p-TAT-a) was a less efficient carrier into these cells under the conditions of our study. Additionally, N-terminal linked TAT-a to p53p (TAT-a-p53p) showed even lower efficiency as a transporter than p53-TAT-a. Apoptosis assays showed that the p53 peptide, fused at its C-terminus to Ant (p53p-Ant), induced a higher percentage of apoptotic cells in human breast cancer cell lines expressing mutant or wild-type p53 as compared to p53 peptide fused at its C-terminus to the TAT-a sequence (p53p-TAT-a) or when fused at the N-terminus to TAT-a (TAT-a-p53p). These data suggested a direct correlation between hydrophobic characteristics and efficiency as a transporter. Sequence study, using hydrophobic moment and helical wheel analyses, may be useful predictive tools for choosing the best carrier for a peptide.