RNA preparation of Saccharomyces cerevisiae using the digestion method may give misleading results

Cellular variability as a driver for bioprocess innovation and optimization

Cellular heterogeneity plays a crucial role in biotechnological processes, significantly influencing metabolic activity, product yield, and process consistency. This review explores the different dimensions of cellular heterogeneity, focusing on its manifestation at both single-cell and population levels. The study examines how factors such as asymmetric cell division, age, and environmental conditions contribute to functional diversity within cell populations, with an emphasis on microorganisms like yeast. Age-related cellular heterogeneity, in particular, is highlighted for its impact on metabolic pathways, mitochondrial function, and secondary metabolite production, which directly affect bioprocess outcomes. Furthermore, the review discusses advanced techniques for detecting and managing heterogeneity, including surface marker-based approaches, which utilize proteins, polysaccharides, and lipids, and label-free methods that leverage cellular volume and physical properties for separation. Understanding and controlling cellular heterogeneity is essential for optimizing industrial bioprocesses, improving yield, and ensuring product quality. The review also underscores the potential of emerging biotechnological tools, such as real-time single-cell analysis and microfluidic devices, in enhancing separation techniques and managing cellular diversity for better process efficiency and robustness.

A modified procedure for separating yeast peroxisomes from mitochondria

Mitochondria and peroxisomes are mutually dependent organelles that share several membrane proteins that carry out the same function in both organelles. To study the unique features of these dually localized proteins in each of the two organelles, it is essential to separate mitochondria from peroxisomes. Isolating organelles from cells of Baker's yeast, Saccharomyces cerevisiae, is crucial for our understanding of the biogenesis and functions of proteins. Traditionally, subcellular fractionation and isolation of individual organelles by differential centrifugation benefit from the specific and unique density of each organelle. However, when yeast cells are grown under normal conditions, certain organelles like mitochondria and peroxisomes share strikingly similar densities. This similarity challenges the separation of these organelles from one another. In this chapter, we describe an optimized procedure to address this task. We depict growth conditions that would favor stimulation of peroxisomes to increase their number and density, and portray organellar isolation followed by gradient centrifugation, enabling an improved separation of both organelles. Additionally, we illustrate the advantage of the procedure to study the dual localization of the membrane protein Fis1.

Zymolyase Treatment of Saccharomyces cerevisiae Affects Cellular Proteins and Degrades Tyrosyl-DNA Phosphodiesterase I

Saccharomyces cerevisiae is a genetically tractable, affordable, and extensively documented eukaryotic single-cell model organism. This budding yeast is amenable for the development of genetic and biochemical experiments and is frequently used to investigate the function, activity, and mechanism of mammalian proteins. However, yeast contains a cell wall that hinders select assays including organelle isolation. Lytic enzymes, with Zymolyase as the most effective and frequently used tool, are utilized to weaken the yeast cell wall resulting in yeast spheroplasts. Spheroplasts are easily lysed by, for example, osmotic-shock conditions to isolate yeast nuclei or mitochondria. However, during our studies of the DNA repair enzyme tyrosyl-DNA phosphodiesterase I (Tdp1), we encountered a negative effect of Zymolyase. We observed that Zymolyase treatment affected the steady-state protein levels of Tdp1. This was revealed by inconsistencies in technical and biological replicate lysates of plasmid-born galactose-induced expression of Tdp1. This off-target effect of Zymolyase is rarely discussed in articles and affects a select number of intracellular proteins, including transcription factors and assays such as chromatin immunoprecipitations. Following extensive troubleshooting, we concluded that the culprit is the Ser-protease, Zymolyase B, component of the Zymolyase enzyme mixture that causes the degradation of Tdp1. In this study, we report the protocols we have used, and our final protocol with an easy, affordable adaptation to any assay/protocol involving Zymolyase.

Candida albicans Culture, Cell Harvesting, and Total RNA Extraction

Transcriptional analysis has become a cornerstone of biological research, and with the advent of cheaper and more efficient sequencing technology over the last decade, there exists a need for high-yield and efficient RNA extraction techniques. Fungi such as the human pathogen Candida albicans present a unique obstacle to RNA purification in the form of the tough cell wall made up of many different components such as chitin that are resistant to many common mammalian or bacterial cell lysis methods. Typical in vitro C. albicans cell harvesting methods can be time consuming and expensive if many samples are being processed with multiple opportunities for product loss or sample variation. Harvesting cells via vacuum filtration rather than centrifugation cuts down on time before the cells are frozen and therefore the available time for the RNA expression profile to change. Vacuum filtration is preferred for C. albicans for two main reasons: cell lysis is faster on non-pelleted cells due to increased exposed surface area, and filamentous cells are difficult to pellet in the first place unlike yeast or bacterial cells. Using mechanical cell lysis, by way of zirconia/silica beads, cuts down on time for processing as well as overall cost compared to enzymatic treatments. Overall, this method is a fast, efficient, and high-yield way to extract total RNA from in vitro cultures of C. albicans.

Estimation of amyloid aggregate sizes with semi-denaturing detergent agarose gel electrophoresis and its limitations

Semi-denaturing detergent agarose gel electrophoresis (SDD-AGE) was proposed by Vitaly V. Kushnirov in the Michael D. Ter-Avanesyan’s laboratory as a method to compare sizes of amyloid aggregates. Currently, this method is widely used for amyloid investigation, but mostly as a qualitative approach. In this work, we assessed the possibilities and limitations of the quantitative analysis of amyloid aggregate size distribution using SDD-AGE results. For this purpose, we used aggregates of two well-characterized yeast amyloid-forming proteins, Sup35 and Rnq1, and developed a protocol to standardize image analysis and process the result. A detailed investigation of factors that may affect the results of SDD-AGE revealed that both the cell lysis method and electrophoresis conditions can substantially affect the estimation of aggregate size. Despite this, quantitative analysis of SDD-AGE results is possible when one needs to estimate and compare the size of aggregates on the same gel, or even in different experiments, if the experimental conditions are tightly controlled and additional standards are used.

One-step hot formamide extraction of RNA from Saccharomyces cerevisiae

Current methods for isolating RNA from budding yeast require lengthy and laborious steps such as freezing and heating with phenol, homogenization with glass beads, or enzymatic digestion of the cell wall. Here, extraction with a solution of formamide and EDTA was adapted to isolate RNA from whole yeast cells through a rapid and easily scalable procedure that does not require mechanical cell lysis, phenol, or enzymes. RNA extracted with formamide-EDTA can be directly loaded on gels for electrophoretic analysis without alcohol precipitation. A simplified protocol for downstream DNase treatment and reverse transcription reaction is also included. The formamide-EDTA extraction of yeast RNA is faster, safer, and more economical than conventional methods, outperforms them in terms of total yield, and greatly increases throughput.

Disruption of Snf3/Rgt2 glucose sensors decreases lifespan and caloric restriction effectiveness through Mth1/Std1 by adjusting mitochondrial efficiency in yeast

Down-regulation of intracellular nutrient signal pathways was proposed to be a primary mechanism of caloric restriction (CR)-mediated lifespan extension. However, the link between lifespan and glucose sensors in the plasma membrane was poorly understood in yeast. Herein, a mutant that lacked glucose sensors (snf3Δrgt2Δ) had impaired glucose fermentation, showed decreased chronological lifespan (CLS), and reduced CLS extension by CR. The mutant also had reduced mitochondrial efficiency, as inferred by increased mitochondrial superoxide and decreased ATP levels. Mth1 and Std1, which are downstream effectors of the Snf3/Rgt2 pathway, were required for viability through mitochondrial function but not fermentative metabolism.