A yeast two-hybrid system to obtain triple-helical ligands from combinatorial random peptide libraries

Many bioactive proteins interact with collagen, recognizing amino acid sequences displayed on the triple helix. We report here a selection strategy to obtain triple-helical peptides that interact with the proteins from a combinatorial random library constructed in yeast cells. This system enables us to select them using the standard two-hybrid protocol, detecting interactions between triple-helical peptides and target proteins fused to the GAL4-activating and binding domains, respectively. The library was constructed having triple-helical peptides with a "host-guest" design in which host helix-stabilizing regions flanked guest random sequences. Using this system, we selected peptides that bind to pigment epithelium-derived factor (PEDF), a collagen-binding protein that shows anti-angiogenic and neurotrophic activities, from the libraries. Two-step selections from the total random library and subsequently from the second focused library yielded new PEDF-binding sequences that exhibited a comparable affinity to or more potent than that of the native PEDF-binding sequence in collagen. The obtained sequences also contained a variant of the PEDF-binding motif that did not match the known motif identified from the native collagen sequences. This combinatorial library system allows the chemical space of triple-helical peptides to be screened more widely than that found in native collagen, thus increasing the expectation of obtaining more specific and high-affinity peptides.

Authors

Institutions

Publication Details

Journal
Journal of Biological Chemistry
Published
2024-09-19
DOI
https://doi.org/10.1016/j.jbc.2024.107794
Citations
8
Primary Topic
Chemical Synthesis and Analysis
Type
article
Field-Weighted Citation Impact
1.87

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A yeast two-hybrid system to obtain triple-helical ligands from combinatorial random peptide libraries

Hiroya Oki, Tetsuya Kadonosono, Takaki Koide, Kazuki Kawahara et al.
8 citations
Journal of Biological Chemistry
Chemical Synthesis and Analysis
1.87
article

A yeast two-hybrid system to obtain triple-helical ligands from combinatorial random peptide libraries

Hiroya Oki, Tetsuya Kadonosono, Takaki Koide, Kazuki Kawahara, Khine Phyu Phyu Thant, Ryo Masuda, Yuji Kobayashi
article en
8 citations

Abstract

Many bioactive proteins interact with collagen, recognizing amino acid sequences displayed on the triple helix. We report here a selection strategy to obtain triple-helical peptides that interact with the proteins from a combinatorial random library constructed in yeast cells. This system enables us to select them using the standard two-hybrid protocol, detecting interactions between triple-helical peptides and target proteins fused to the GAL4-activating and binding domains, respectively. The library was constructed having triple-helical peptides with a "host-guest" design in which host helix-stabilizing regions flanked guest random sequences. Using this system, we selected peptides that bind to pigment epithelium-derived factor (PEDF), a collagen-binding protein that shows anti-angiogenic and neurotrophic activities, from the libraries. Two-step selections from the total random library and subsequently from the second focused library yielded new PEDF-binding sequences that exhibited a comparable affinity to or more potent than that of the native PEDF-binding sequence in collagen. The obtained sequences also contained a variant of the PEDF-binding motif that did not match the known motif identified from the native collagen sequences. This combinatorial library system allows the chemical space of triple-helical peptides to be screened more widely than that found in native collagen, thus increasing the expectation of obtaining more specific and high-affinity peptides.

Journal of Biological ChemistryVol. 300(11)
Tokyo Institute of Technology (JP), Waseda University (JP), The University of Osaka (JP)
Waseda University, Japan Society for the Promotion of Science, Japan Science and Technology Agency
Zero hunger
Openalex Percentile: Top 14%
Chemical Synthesis and Analysis
1.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.