Microbiology

Quiescence, the temporary and reversible exit from proliferative growth, is a fundamental biological process. Budding yeast is a preeminent model for studying cellular quiescence owing to its rich experimental toolboxes and evolutionary conservation across eukaryotic pathways and processes that control quiescence. Yeast quiescent cells are reported to be isolated by the continuous linear Percoll gradient method and identified by combining different features such as cell cycle, heat resistance, and cell morphology (single cell). Generally, 10–25 mL of Percoll isotonic solution is first obtained by mixing Percoll with NaCl in 12.5–30 mL centrifugal tubes. Then, the gradient is prepared at high speed for 15–60 min. Finally, approximately 2 × 10⁹ cells are collected, overlaid onto the preformed gradient, and centrifuged to obtain distinct cell fractions. This method requires more reagents and samples and special centrifuges and centrifuge tubes. Besides the cost, it is less favorable for experiments that require high-throughput analyses with a small volume of sample each time. The protocol described here aims to solve those problems by combining the use of 2 mL centrifugal tubes with density marker beads. The protocol also focuses on how to optimize the buoyant density distribution of the density gradient solution such that the density bands better match those of different fraction cells. This will help fully separate quiescent and non-quiescent cells. The protocol can be easily adapted to a wide variety of unicellular microbes with different buoyancy density differentiation during cultivation, such as yeast and bacteria.

In this protocol, we describe the analysis of protein stability over time, using synthesis shutoff. As an example, we express HA-tagged yeast mitofusin Fzo1 in Saccharomyces cerevisiae and inhibit translation via cycloheximide (CHX). Proteasomal inhibition with MG132 is performed, as an optional step, before the addition of CHX. Proteins are extracted via trichloroacetic acid (TCA) precipitation and subsequently separated via SDS-PAGE. Immunoblotting and antibody-decoration are performed to detect Fzo1 using HA-specific antibodies. We have adapted the method of blocking protein translation with cycloheximide to analyze the stability of high molecular weight proteins, including post-translational modifications and their impact on protein turnover.

Yeasts have provided an exceptional model for studying metabolism and bioenergetics in eukaryotic cells. Among numerous metabolites, adenosine triphosphate (ATP) is a major metabolite that is essential for all living organisms. Therefore, a clearer understanding of ATP dynamics in living yeast cells is important for deciphering cellular energy metabolism. However, none of the methods currently available to measure ATP, including biochemical analyses and ATP indicators, have been suitable for close examinations of ATP concentrations in yeast cells at the single cell level. Using the recently developed ATP biosensor QUEEN, which is suitable for yeasts and bacteria, a protocol was described herein to visualize ATP concentrations in living budding and fission yeast cells. This simple method enables the easy and reliable examination of ATP dynamics in various yeast mutants, thereby providing novel molecular insights into cellular energy metabolism.

The yeast Saccharomyces cerevisiae (S. cerevisiae) harboring ade1 or ade2 mutations manifest red colony color phenotype on rich yeast medium YPD. In these mutants, intermediate metabolites of adenine biosynthesis pathway are accumulated. Accumulated intermediates, in the presence of reduced glutathione, are transported to the vacuoles, whereupon the development of the red color phenotype occurs. Here, we describe a method to score for presence of oxidative stress upon expression of amyloid-like proteins that would convert the red phenotype of ade1/ade2 mutant yeast to white. This assay could be a useful tool for screening for drugs with anti-amyloid aggregation or anti-oxidative stress potency.

Aspergillus fumigatus is a ubiquitous fungal pathogen that forms airborne conidia. The process of restricting conidial germination into hyphae by lung leukocytes is critical in determining infectious outcomes. Tracking the outcome of conidia-host cell encounters in vivo is technically challenging and an obstacle to understanding the molecular and cellular basis of antifungal immunity in the lung. Here, we describe a method that utilizes a genetically engineered Aspergillus strain [called FLARE (Jhingran et al., 2012; Espinosa et al., 2014; Heung et al., 2015)] to monitor conidial phagocytosis and killing by leukocytes within the lung environment at single encounter resolution.