High-Reynolds Microfluidic Sorting of Large Yeast Populations

Eliezer Keinan, Ayelet Chen Abraham, Aaron Cohen, Alexander I. Alexandrov, Reshef Mintz, Merav Cohen, Dana Reichmann, Daniel Kaganovich, Yaakov Nahmias*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Microfluidic sorting offers a unique ability to isolate large numbers of cells for bulk proteomic or metabolomics studies but is currently limited by low throughput and persistent clogging at low flow rates. Recently we uncovered the physical principles governing the inertial focusing of particles in high-Reynolds numbers. Here, we superimpose high Reynolds inertial focusing on Dean vortices, to rapidly isolate large quantities of young and adult yeast from mixed populations at a rate of 107 cells/min/channel. Using a new algorithm to rapidly quantify budding scars in isolated yeast populations and system-wide proteomic analysis, we demonstrate that protein quality control and expression of established yeast aging markers such as CalM, RPL5, and SAM1 may change after the very first replication events, rather than later in the aging process as previously thought. Our technique enables the large-scale isolation of microorganisms based on minute differences in size (±1.5 μm), a feat unmatched by other technologies.

Original languageAmerican English
Article number13739
JournalScientific Reports
Volume8
Issue number1
DOIs
StatePublished - 1 Dec 2018

Bibliographical note

Publisher Copyright:
© 2018, The Author(s).

Fingerprint

Dive into the research topics of 'High-Reynolds Microfluidic Sorting of Large Yeast Populations'. Together they form a unique fingerprint.

Cite this