Publications by authors named "Kristina Plate"

Toxicological evaluation of substances in regulation still often relies on animal experiments. Understanding the substances' mode-of-action is crucial to develop alternative test strategies. Omics methods are promising tools to achieve this goal.

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The arsenal of genes that microbes express reflect the way in which they sense their environment. We have previously reported that the rumen microbiome composition and its coding capacity are different in animals having distinct feed efficiency states, even when fed an identical diet. Here, we reveal that many microbial populations belonging to the bacteria and archaea domains show divergent proteome production in function of the feed efficiency state.

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Phages are viruses that specifically infect and eventually kill their bacterial hosts. Bacterial fermentation and biotechnology industries see them as enemies, however, they are also investigated as antibacterial agents for the treatment or prevention of bacterial infections in various sectors. They also play key ecological roles in all ecosystems.

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Article Synopsis
  • The text discusses a Gram-positive, anaerobic pathogen that causes drug-induced diseases in hospitals and the potential for proteomic analysis to identify new drug development targets.
  • Metabolic labeling (ML) was presented as a method to accurately quantify protein abundance and overcome challenges associated with studying membrane proteomes, although implementation was complicated by the pathogen’s metabolism.
  • The study established an ML approach for the pathogen strain 630Δ, achieving over 97% incorporation rate, and demonstrated that ML provided better quantification of proteins, particularly for those with small abundance changes compared to label-free methods.
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Staphylococcal biofilms are associated with persistent infections due to their capacity to protect bacteria against the host's immune system and antibiotics. Cell-surface-associated proteins are of great importance during biofilm formation. In the present study, an optimized biotinylation approach for quantitative GeLC-MS-based analysis of the staphylococcal cell-surface proteome was applied and the cytoplasmic protein fraction was analyzed to elucidate proteomic differences between colony biofilms and planktonic cells.

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