Quantification of Folded and Misfolded Proinsulin Forms Using Nonreducing SDS-PAGE and Proinsulin-Specific
Anoop Arunagiri1, Insook Jang2, Pamela Itkin-Ansari3
1Department of Biological Sciences, East Tennessee State University, Johnson City, TN, USA.
Bio-Protocol
|June 13, 2025
Summary
Accurate quantification of misfolded proinsulin is crucial for understanding diabetes. A modified immunoblotting technique precisely measures native and misfolded proinsulin monomers and disulfide-linked complexes in beta cells.
Area of Science:
- Biochemistry
- Cell Biology
- Endocrinology
Background:
- Proinsulin misfolding and disulfide bond abnormalities occur in pancreatic beta cells.
- Misfolded proinsulin can form aberrant disulfide-linked complexes, complicating accurate quantification.
- Existing methods may overestimate misfolded proinsulin due to antibody affinity variations.
Purpose of the Study:
- To develop and validate an improved immunoblotting protocol for accurate quantification of proinsulin folding states.
- To precisely assess native proinsulin monomers, misfolded monomers, and disulfide-linked complexes.
- To enable better study of proinsulin misfolding in various cellular contexts and disease states.
Main Methods:
- Modification of standard SDS-PAGE and electrotransfer protocols.
- Proinsulin immunoblotting under reducing and non-reducing conditions.
- Side-by-side comparison of standard versus modified techniques.
Main Results:
- The modified protocol accurately separates and quantifies native proinsulin, misfolded monomers, and disulfide-linked oligomers.
- Standard methods were shown to underestimate monomers and overestimate disulfide-linked complexes.
- The improved technique addresses quantitation inaccuracies caused by antibody affinity differences.
Conclusions:
- This modified immunoblotting technique provides a more precise assessment of proinsulin misfolding.
- The method is applicable to diverse biological samples including cell lines, islets, and iPSCs.
- It facilitates the study of proinsulin folding dynamics under various physiological and pathological conditions, including diabetes.
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