Bioinformatics‐Driven Design of Peptides for Membrane Stabilization During Cryopreservation

Abstract During cryopreservation, cooling triggers membrane phase transitions from a liquid‐crystalline to a gel phase, compromising membrane permeability, impairing water exchange, ultimately leading to cell death. Group 3 late embryogenesis abundant (G3LEA) proteins stabilize cell membranes under adverse circumstances through their functional 11‐mer repeats. Thus, we conducted a bioinformatics analysis of 11‐mer repeats across LEA proteins and identified AKE, a class A α‐helix peptide that lowers the gel‐to‐liquid crystalline phase transition temperature ( T m ). Structural optimization further established a key design principle: a class A α‐helix with a charge‐segregated structure, featuring two positively charged faces separated by hydrophobic and negatively charged regions, designed to enhance membrane interactions by promoting electrostatic binding to phospholipid head groups while allowing hydrophobic regions to associate with lipid tails, potentially strengthening overall membrane affinity. Results confirmed that substituting lysine with arginine, which carries a more delocalized and stable positive charge, strengthened electrostatic interactions and reduced free energy. The optimized peptide, ARE, lowered T m and reduced the extent of phase transition improved water permeability and osmotic resistance, leading to a 52% enhancement in post‐thaw red blood cell recovery. By integrating structural design with charge modulation, this study provides a framework for developing membrane stabilizers through rational peptide engineering.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie
Published
2025-10-08
DOI
https://doi.org/10.1002/ange.202516336
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bioinformatics‐Driven Design of Peptides for Membrane Stabilization During Cryopreservation

Yurui Gao, Shenglin Jin, Xiaoshuai Chen, Shixian Wang et al.
Angewandte Chemie
Advanced Proteomics Techniques and Applications
article

Bioinformatics‐Driven Design of Peptides for Membrane Stabilization During Cryopreservation

Yurui Gao, Shenglin Jin, Xiaoshuai Chen, Shixian Wang, Yihang Gao, Shuo Liu, Jianjun Wang, Ying Ou
article en

Abstract

Abstract During cryopreservation, cooling triggers membrane phase transitions from a liquid‐crystalline to a gel phase, compromising membrane permeability, impairing water exchange, ultimately leading to cell death. Group 3 late embryogenesis abundant (G3LEA) proteins stabilize cell membranes under adverse circumstances through their functional 11‐mer repeats. Thus, we conducted a bioinformatics analysis of 11‐mer repeats across LEA proteins and identified AKE, a class A α‐helix peptide that lowers the gel‐to‐liquid crystalline phase transition temperature ( T m ). Structural optimization further established a key design principle: a class A α‐helix with a charge‐segregated structure, featuring two positively charged faces separated by hydrophobic and negatively charged regions, designed to enhance membrane interactions by promoting electrostatic binding to phospholipid head groups while allowing hydrophobic regions to associate with lipid tails, potentially strengthening overall membrane affinity. Results confirmed that substituting lysine with arginine, which carries a more delocalized and stable positive charge, strengthened electrostatic interactions and reduced free energy. The optimized peptide, ARE, lowered T m and reduced the extent of phase transition improved water permeability and osmotic resistance, leading to a 52% enhancement in post‐thaw red blood cell recovery. By integrating structural design with charge modulation, this study provides a framework for developing membrane stabilizers through rational peptide engineering.

Angewandte ChemieVol. 137(49)
Songshan Lake Materials Laboratory (CN), Technical Institute of Physics and Chemistry (CN), National Center for Nanoscience and Technology (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 74%
Advanced Proteomics Techniques and Applications
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.