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Updated: Jan 1, 2026

Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry
Published on: July 17, 2019
Single-residue physicochemical characteristics kinetically partition membrane protein self-assembly and aggregation
Ankit Gupta1, Radhakrishnan Mahalakshmi2
1Molecular Biophysics Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research, Bhopal 462066, India.
Subtle changes in protein sequences can trigger aggregation linked to neurodegenerative diseases. Our spectroscopic method reveals how these sequence variations drive protein misfolding and aggregation, offering insights into disease mechanisms.
Area of Science:
- Biochemistry
- Molecular Biology
- Biophysics
Background:
- Most transmembrane proteins aggregate, contributing to neurodegenerative diseases.
- Understanding membrane protein aggregation mechanisms is crucial due to rising disease incidence.
Purpose of the Study:
- To investigate how subtle protein sequence variations influence the transition from folded proteins to oligomeric aggregates.
- To elucidate the molecular mechanisms underlying membrane protein aggregation.
Main Methods:
- Developed a spectroscopic thermal perturbation method with 117 experimental variables.
- Utilized the Yersinia pestis outer transmembrane β-barrel Ail as a model system.
- Assessed the impact of single-residue substitutions on protein stability and aggregation.
Main Results:
- Identified that single-residue substitutions altering membrane-anchoring ability significantly impact protein kinetic stability.
- Observed a stabilizing role for interface aliphatics and a contribution of interface aromatics to self-assembly and aggregation.
- Detected the formation of structured oligomeric intermediates during protein aggregation.
Conclusions:
- Protein primary sequence variations critically influence aggregation propensity and stability.
- A thermodynamically compromised sequence balances folding, stability, and oligomerization to offset self-aggregation.
- The findings provide insights into the molecular progression of neurodegeneration and amyloidogenesis.
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