Rapid Fragmentation during Seeded Lysozyme Aggregation Revealed at the Single Molecule Level

Thioflavin T─a Reporter of Microviscosity in Protein Aggregation Process: The Study Case of α-Synuclein

Thioflavin T (ThT) informed microviscosity changes can be used to monitor protein aggregation. Steady-state, time-resolved and lasing spectroscopy were used to detect transient states in α-synuclein - a protein associated with Parkinson's disease. The major focus was on the nucleation phase, where conventional ThT fluorescence assay lacks appropriate sensitivity to detect early stage oligomers. Instead, lasing spectroscopy and lasing threshold parameters, in particular, were sensitive to detecting protein oligomers. Through lasing spectroscopy, a change in microviscosity correlating with the stages of protein aggregation was observed at two wavelengths 405 and 440 nm. The two wavelengths are associated with free dye molecules and β-sheet bound ThT molecules. This provides a perspective on elucidating the early formed protein aggregation, a critical aspect in understanding the pathogenesis of neurodegenerative diseases. The insights from the presented study shows the potential of using lasing spectroscopy as a sensitive tool in studying protein aggregation dynamics.

Molecular Rotors: Fluorescent Sensors for Microviscosity and Conformation of Biomolecules

The viscosity and crowding of biological environment are considered vital for the correct cellular function, and alterations in these parameters are known to underly a number of pathologies including diabetes, malaria, cancer and neurodegenerative diseases, to name a few. Over the last decades, fluorescent molecular probes termed molecular rotors proved extremely useful for exploring viscosity, crowding, and underlying molecular interactions in biologically relevant settings. In this review, we will discuss the basic principles underpinning the functionality of these probes and will review advances in their use as sensors for lipid order, protein crowding and conformation, temperature and non-canonical nucleic acid structures in live cells and other relevant biological settings.

Ultrasensitive Detection of Aβ42 Seeds in Cerebrospinal Fluid with a Nanopipette-Based Real-Time Fast Amyloid Seeding and Translocation Assay

In this work, early-stage Aβ42 aggregates were detected using a real-time fast amyloid seeding and translocation (RT-FAST) assay. Specifically, Aβ42 monomers were incubated in buffer solution with and without preformed Aβ42 seeds in a quartz nanopipette coated with L-DOPA. Then, formed Aβ42 aggregates were analyzed on flyby resistive pulse sensing at various incubation time points. Aβ42 aggregates were detected only in the sample with Aβ42 seeds after 180 min of incubation, giving an on/off readout of the presence of preformed seeds. Moreover, this RT-FAST assay could detect preformed seeds spiked in 4% cerebrospinal fluid/buffer solution. However, in this condition, the time to detect the first aggregates was increased. Analysis of Cy3-labeled Aβ42 monomer adsorption on a quartz substrate after L-DOPA coating by confocal fluorescence spectroscopy and molecular dynamics simulation showed the huge influence of Aβ42 adsorption on the aggregation process.

Real-Time Fast Amyloid Seeding and Translocation of α-Synuclein with a Nanopipette

The detection to α-synuclein (αS) assemblies as a biomarker of synucleinopathies is an important challenge for further development of an early diagnosis tool. Here, we present proof of concept real-time fast amyloid seeding and translocation (RT-FAST) based on a nanopipette that combines in one unique system a reaction vessel to accelerate the seed amplification and nanopore sensor for single-molecule αS assembly detection. RT-FAST allows the detection of the presence αS seeds WT and A53T variant in a given sample in only 90 min by adding a low quantity (35 μL at 100 nM) of recombinant αS for amplification. It also shows cross-seeding aggregation by adding mixing seeds A53T with WT monomers. Finally, we establish the dependence between the capture rate of aggregates by the nanopore sensor and the initial seed concentration from 200 pM to 2 pM, which promises further development toward a quantitative analysis of the initial seed concentration.