4.6 Article

Effects of protein transduction domain (PTD) selection and position for improved intracellular delivery of PTD-Hsp27 fusion protein formulations

Journal

ARCHIVES OF PHARMACAL RESEARCH
Volume 39, Issue 9, Pages 1266-1274

Publisher

PHARMACEUTICAL SOC KOREA
DOI: 10.1007/s12272-016-0786-9

Keywords

Fusion proteins; Selection and position of protein transduction domains (PTDs); Heat shock protein 27; Hypoxia

Funding

  1. National Research Foundation of Korea [2014049587, 2015003019]
  2. Brain Korea 21 Plus Program [22A20130011095]
  3. Korea Health Industry Development Institute (KHIDI)
  4. Ministry of Health Welfare [HI13C1938010015]

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Protein drugs have attracted considerable attention as therapeutic agents due to their diversity and biocompatibility. However, hydrophilic proteins possess difficulty in penetrating lipophilic cell membrane. Although protein transduction domains (PTDs) have shown effectiveness in protein delivery, the importance of selection and position of PTDs in recombinant protein vector constructs has not been investigated. This study intends to investigate the significance of PTD selection and position for therapeutic protein delivery. Heat shock protein 27 (Hsp27) would be a therapeutic protein for the treatment of ischemic heart diseases, but itself is insufficient to prevent systemic degradation and overcoming biochemical barriers during cellular transport. Among all PTD-Hsp27 fusion proteins we cloned, Tat-Hsp27 fusion protein showed the highest efficacy. Nona-arginine (9R) conjugation to the N-terminal of Hsp27 (Hsp27-T) showed higher efficacy than C-terminal. To test the synergistic effect of two PTDs, Tat was inserted to the N-terminal of Hsp27-9R. Tat-Hsp27-9R exhibited enhanced transduction efficiency and significant improvement against oxidative stress and apoptosis. PTD-Hsp27 fusion proteins have strong potential to be developed as therapeutic proteins for the treatment of ischemic heart diseases and selection and position of PTDs for improved efficacy of PTD-fusion proteins need to be optimized considering protein's nature, transduction efficiency and stability.

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