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Published on: March 5, 2015
Tiny Droplets, Large Insights: Studying Peptide Aggregation with Droplet-Based Microfluidics Hyphenated with Ion
Ariadni Geballa-Koukoula1,2, Iuliia Stroganova1,2, Hannah Willenberg1
1Division of BioAnalytical Chemistry (MS-LaserLab), Department of Chemistry and Pharmaceutical Sciences, AIMMS Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1108, Amsterdam1081 HV, The Netherlands.
Abstract:
Peptide and protein aggregation are hallmarks of numerous neurodegenerative diseases. However, the structural characterization of oligomeric intermediates remains challenging due to their low abundance, heterogenic nature, and complexity of coinciding and transient reaction networks. Confining reactions to microenvironments, such as picoliter droplets in droplet-based microfluidics (DBMFs), simplifies these networks, thereby enabling high-throughput analysis and controlled reaction kinetics. This study explores the integration of DBMF with ion mobility mass spectrometry (IM-MS) to probe the aggregation kinetics in droplets. We address key technical challenges, including interference from the dispersed phase, surfactant, and DBMF device material, followed by optimization strategies for droplet generation and surfactant concentration to reduce the level of contamination. Furthermore, we investigate instrumentation-based influences on ionization to improve the signal stability. Using model peptides, bradykinin, leucine-enkephalin, and the aggregation-prone segment Ac-PHF6-NH2 from the tau protein, we demonstrated the successful development of a sensitive method. Additionally, using the Ac-PHF6-NH2 peptide, oligomeric transient species were probed and characterized by their IM and m/z values. This work demonstrates the potential of DBMF-IM-MS to study peptide aggregation in confined environments, providing insights into the formation of oligomeric species and laying the groundwork for studies on larger proteins and the development of therapeutic agents targeting aggregation using multichannel devices.
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