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High-Throughput Screening of pH-Dependent β-sheet Self-Assembling Peptide.

Xin-Wei Ye1,2,3, Wen Tian1, Lu Han1

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Researchers developed a new method to find pH-responsive peptides for biomaterials. This technique efficiently identifies self-assembling peptide sequences for applications in cell delivery and tissue engineering.

Keywords:
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Area of Science:

  • Biomaterials Science
  • Peptide Chemistry
  • Nanotechnology

Background:

  • pH-dependent peptide biomaterials are promising for cell delivery and tissue engineering.
  • Identifying self-assembling peptide sequences with specific secondary structures responsive to pH changes is challenging.

Purpose of the Study:

  • To develop a high-throughput screening method for identifying pH-dependent self-assembling β-sheet peptides.
  • To discover peptide sequences that self-assemble at neutral pH and disassemble at acidic pH for biomaterial applications.

Main Methods:

  • Utilized a one-bead one-compound (OBOC) combinatorial library approach.
  • Employed thioflavin T (ThT) as a fluorescent probe to detect peptide self-assembly at pH 7.5.
  • Selected peptides that lost fluorescence (disassembled) upon transfer to pH 6.5.

Main Results:

  • Identified three heptapeptides capable of self-assembly into nanofibers or nanoparticles at pH 7.5 and disassembly at pH 6.5.
  • Observed rapid acid response and morphology transformation in peptide P1 (LVEFRHY).
  • Postulated that histidine charge and phenylalanine motif influence pH-responsive β-sheet nanofiber formation.

Conclusions:

  • The OBOC library method is efficient for discovering pH-dependent β-sheet self-assembling peptides.
  • This screening approach aids in understanding the structural design principles for responsive nanomaterials.
  • The identified peptides show potential for advanced applications in regenerative medicine and drug delivery.