Seminar

Professor Mark Hayes of Arizona State University

Tuesday, October 1, 2024 - 10:45am
Neville 3

"Tools for Understanding Biology: Microfluidics and Separations Science"

Very high-resolution separations for biomolecules and bioparticles (cells, viruses, exosomes, vesicles, organelles, proteins, peptides, biomarkers, etc.) are possible by using thoughtfully shaped flow and electric fields. These separations are a result of induced large fields and gradients available in microfluidic devices. The short length scales enable unique capabilities and well-established fabrication schemes allow great precision. Older work focused on separating cells, to great success, such that antibiotic resistance and susceptible strains could be separated based upon only biophysical differences (no labels, no induced metabolism). More recently, viruses, exosomes (vesicles) and proteins have been separated, isolated and concentrated using the same strategy. These results suggest a new path forward for generating a better understanding of biology in general and a unique mechanism to create a distinct diagnostic platform. Cells can be purified, isolated and concentrated to homogeneity by their biophysical properties. These cells, in turn, can be lysed and the contents separated, isolated and concentrated across particle size scales from organelles to peptides, including genetic materials. The contents will be annotated to the original pure cell population. In essence a new cataloging scheme is available based on biophysics to assign phenotypes, genotypes and any other cellular property to a unique descriptor. I will present the cell, virus, exosome and protein separations data which supports this vision, and briefly describe the underlying physics which fully enables and explains the observed results. The system is deterministic and reproducible based on foundational (and simple) properties. A very practical acute outcome of this work is that we had been challenged to create the basis for a diagnostic for SARS CoV-2/COVID 19 by the Arizona Governor’s office through the AzDHS and I will summarize these efforts.

Relevant blogs

The LCGC Blog: Curing My Personal Ignorance, One Day at a Time. OnLine-Collaborative Blog w LCGC and ACS AD SCSC August 1, 2022. https://www.chromatographyonline.com/view/curing-my-personal-ignorance-o...
The LCGC Blog: The Future of Separation Science: Goodbye Old Friends. Chromatography OnLine-Collaborative Blog w LCGC and ACS AD SCSC June 24, 2021. https://www.chromatographyonline.com/view/the-lcgc-blog-she-separates-th....

Cites

nsulator-based dielectrophoresis-assisted separation of insulin secretory vesicles. Mahta Barekatain*, Yameng Liu*, Ashley Archambeau, Vadim Cherezov, Scott E. Fraser, Kate L White, and Mark A. Hayes eLife 2024, 13 e74989 DOI 10.7554/eLife.74989.

Biophysical Separation of Staphylococcus epidermidis Strains Based on Antibiotic Resistance. Paul V. Jones, Shannon Huey, Paige Davis, Ryan McLemore, Alex McLaren, Ryan Yanashima, and Mark A. Hayes*Analyst 2015, 140, 5152-5161. DOI: 10.1039/C5AN00906E.

Concentration of Sindbis Virus with Optimized Gradient Insulator-based Dielectrophoresis. Jie Ding, Robert Lawrence, Paul V. Jones, Brenda G. Hogue, and Mark A. Hayes* Analyst 2016, 141, 1997-2008 DOI: 10.1039/C5AN02430G.

Interfacing microfluidics with information-rich detection systems for cells, bioparticles, and molecules. Smithers JP, Hayes MA. Analytical and Bioanalytical Chemistry 2022, 414(16) 4575-89. DOI 10.1007/s00216-022-04043-1.

Development of the Resolution Theory for Electrophoretic Exclusion. Stacy M. Kenyon, Michael W. Keebaugh, & Mark A. Hayes Electrophoresis, 2014, 35, 2551-2559 DOI 10.1002/elps.201300572.

Development of the Resolution Theory for Gradient insulator-based Dielectrophoresis. Mark A. Hayes & Paul V. Jones Electrophoresis 2015, 36(9-10), 1098-1106, DOI: 10.1002/elps.201400504

Identification of Neural Stem and Progenitor Cell Subpopulations using DC Insulator-based Dielectrophoresis. Yameng Liu, Alan Jiang, Estelle Kim, Clarissa Ro, Tayloria Adams, Lisa A. Flanagan, Thomas J. Taylor & Mark A. Hayes* Analyst 2019, 144, 4066 - 4072 PMI:31165125 DOI: 10.1039/c9an00456d.