Experimental results in fungal biology research are usually obtained as average measurements across whole populations of cells, whilst ignoring what is happening at the single cell level. Microscopy has allowed us to study single-cell behavior, but it has low throughput and cannot be used to select individual cells for downstream experiments. Here we present a method that allows for the analysis and selection of single fungal cells in high throughput by flow cytometry and fluorescence activated cell sorting (FACS), respectively. This protocol can be adapted for every fungal species that produces cells of up to 70 microns in diameter. After initial setting of the flow cytometry gates, which takes a single day, accurate single cell analysis a...
Industrial biotechnology is concerned with the sustainable production of, for example, fine and bulk...
Filamentous fungi naturally grow on solid surfaces, yet most genetic and biochemical analyses are st...
Grünberger A, Probst C, Helfrich S, et al. Spatiotemporal microbial single-cell analysis using a hig...
Experimental results in fungal biology research are usually obtained as average measurements across ...
Flow cytometry is an automated, laser- or impedance-based, high throughput method that allows very r...
The analysis of filamentous fungi by flow cytometry has been impossible to date due to their filamen...
Grünberger A, Schöler K, Probst C, et al. Real-time monitoring of fungal growth and morphogenesis at...
Traditional methods for the analysis of cellular components have focused on 'grid and find' assays ...
Introduction: Flow cytometry and cell sorting are powerful technologies for examining the molecular,...
The use of flow cytometry in combination with fluorescent dyes as a technique to rapidly differentia...
peer-reviewedModern approaches to science tend to follow divergent paths. On one hand, instruments ...
Some evidences show that a clonal population of microbial cells exhibits variation at their physiolo...
Instrumentation for flow cytometry and sorting is designed around the assumption that samples are si...
Background Fungal fermentation is used to produce a diverse repertoire of enzymes, chemicals, and d...
Studies of the cellular pathogenesis mechanisms of pathogenic yeasts such as Candida albicans, Histo...
Industrial biotechnology is concerned with the sustainable production of, for example, fine and bulk...
Filamentous fungi naturally grow on solid surfaces, yet most genetic and biochemical analyses are st...
Grünberger A, Probst C, Helfrich S, et al. Spatiotemporal microbial single-cell analysis using a hig...
Experimental results in fungal biology research are usually obtained as average measurements across ...
Flow cytometry is an automated, laser- or impedance-based, high throughput method that allows very r...
The analysis of filamentous fungi by flow cytometry has been impossible to date due to their filamen...
Grünberger A, Schöler K, Probst C, et al. Real-time monitoring of fungal growth and morphogenesis at...
Traditional methods for the analysis of cellular components have focused on 'grid and find' assays ...
Introduction: Flow cytometry and cell sorting are powerful technologies for examining the molecular,...
The use of flow cytometry in combination with fluorescent dyes as a technique to rapidly differentia...
peer-reviewedModern approaches to science tend to follow divergent paths. On one hand, instruments ...
Some evidences show that a clonal population of microbial cells exhibits variation at their physiolo...
Instrumentation for flow cytometry and sorting is designed around the assumption that samples are si...
Background Fungal fermentation is used to produce a diverse repertoire of enzymes, chemicals, and d...
Studies of the cellular pathogenesis mechanisms of pathogenic yeasts such as Candida albicans, Histo...
Industrial biotechnology is concerned with the sustainable production of, for example, fine and bulk...
Filamentous fungi naturally grow on solid surfaces, yet most genetic and biochemical analyses are st...
Grünberger A, Probst C, Helfrich S, et al. Spatiotemporal microbial single-cell analysis using a hig...