Issue 12, 2020

Fractal self-assembly and aggregation of human amylin

Abstract

Human amylin is an intrinsically disordered protein believed to have a central role in Type-II diabetes mellitus (T2DM). The formation of intermediate oligomers is a seminal event in the eventual self-assembled fibril structures of amylin. However, the recent experimental investigations have shown the presence of different self-assembled (oligomers, protofilaments, and fibrils) and aggregated structures (amorphous aggregates) of amylin formed during its aggregation. Here, we show that amylin under diffusion-limited conditions leads to fractal self-assembly. The pH and solvent sensitive fractal self-assemblies of amylin were observed using an optical microscope. Confocal microscopy and scanning electron microscopy (SEM) with energy dispersion X-ray analysis (EDAX) were used to confirm the fractal self-assembly of amylin in water and PBS buffer, respectively. The fractal characteristics of the self-assemblies and the aggregates formed during the aggregation of amylin under different pH conditions were investigated using laser light scattering. The hydropathy and the docking study indicated the interactions between the anisotropically distributed hydrophobic residues and polar/ionic residues on the solvent-accessible surface of the protein as the crucial interaction hot-spots for driving the self-assembly and aggregation of human amylin. The simultaneous presence of various self-assemblies of human amylin was observed through different microscopy techniques. The present study may help in designing different fractal-like nanomaterials with potential applications in drug delivery, sensing, and tissue engineering.

Graphical abstract: Fractal self-assembly and aggregation of human amylin

Supplementary files

Article information

Article type
Paper
Submitted
17 Dec 2019
Accepted
22 Feb 2020
First published
24 Feb 2020

Soft Matter, 2020,16, 3143-3153

Fractal self-assembly and aggregation of human amylin

S. Khatun, A. Singh, S. Maji, T. K. Maiti, N. Pawar and A. N. Gupta, Soft Matter, 2020, 16, 3143 DOI: 10.1039/C9SM02463H

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