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Biology subjects

Schober, F. A.

Publications and source records attributed to Schober, F. A..

2 recordsLinked to original sources

Robust dimethyl-based multiplex-DIA workflow doubles single-cell proteome depth via a reference channel

Single-cell proteomics aims to characterize biological function and heterogeneity at the level of proteins in an unbiased manner. It is currently limited in proteomic depth, throughput and robustness, a challenge that we address here by a streamlined multiplexed workflow using data-independent acquisition (mDIA). We demonstrate automated and complete dimethyl labeling of bulk or single-cell samples, without losing proteomic depth. In single runs of mammalian cells, a three-plex analysis of tryptic peptides quantified 7,700 proteins per channel. The Lys-N enzyme enables five-plex quantification at MS1 and MS2 level. Because the multiplex channels are quantitatively isolated from each other, mDIA accommodates a reference channel that does not interfere with the target channels. Our algorithm RefQuant takes advantage of this feature and confidently quantifies close to 4,000 proteins in single cells with excellent reproducibility, while our workflow currently allows routine analysis of 80 single cells per day. The concept of a stable proteome still holds at this deeper proteome coverage.

systems biology↗

Versatile proteome labelling in fruit flies with SILAF

Drosophila melanogaster has been a working horse of genetics and cell biology for more than a century. However, proteomic-based methods have been limited due to technical obstacles, especially the lack of reliable labelling methods. Here, we advanced a chemically defined food source into stable-isotope labelling of amino acids in flies (SILAF). It allows for the rapid generation of a large number of flies with full incorporation of lysine-6. SILAF followed by fractionation and enrichment gave proteomic insights at a depth of 5,966 proteins and 7,496 phosphorylation sites, which substantiated metabolic regulation on enzymatic level. Furthermore, the label can be traced and predicts protein turnover rates during different developmental stages. The ease and versatility of the method actuates the fruit fly as an appealing model in proteomic and post-translational modification studies and it enlarges potential metabolic applications based on heavy amino acid diets.

molecular biology↗