The HTRA1 gene encoding an evolutionary conserved protein quality-control factor can be epigenetically silenced or inactivated by mutation under pathologic conditions such as cancer. Recent evidence suggests that the loss of HTRA1 function causes multiple phenotypes, including the acceleration of cell growth, delayed onset of senescence, centrosome amplification, and polyploidy, suggesting an implication in the regulation of the cell cycle. To address this model, we performed a large-scale proteomics study to correlate the abundance of proteins and HTRA1 levels in various cell cycle phases using label-free-quantification mass spectrometry. These data indicate that the levels of 4723 proteins fluctuated in a cell-cycle-dependent manner, 2872 in a HTRA1-dependent manner, and 1530 in a cell-cycle- and HTRA1-dependent manner. The large number of proteins affected by the modulation of HTRA1 levels supports its general role in protein homeostasis. Moreover, the detected changes in protein abundance, in combination with pull-down data, implicate HTRA1 in various cell cycle events such as DNA replication, chromosome segregation, and cell-cycle-dependent apoptosis. These results highlight the wide implications of HTRA1 in cellular physiology.

Despite the availability of hundreds of antibiotic drugs, infectious diseases continue to remain one of the most notorious health issues. In addition, the disparity between the spread of multidrug‐resistant pathogens and the development of novel classes of antibiotics exemplify an important unmet medical need that can only be addressed by identifying novel targets. Herein we demonstrate, by the development of the first in vivo active DegS inhibitors based on a pyrazolo[1,5‐a]‐1,3,5‐triazine scaffold, that the serine protease DegS and the cell envelope stress‐response pathway σE represent a target for generating antibiotics with a novel mode of action. Moreover, DegS inhibition is synergistic with well‐established membrane‐perturbing antibiotics, thereby opening promising avenues for rational antibiotic drug design.

Bioactive natural products are important starting points for developing chemical tools for biological research. For elucidating their bioactivity profile, biological systems with concise complexity such as cell culture systems are frequently used, whereas unbiased investigations in more complex multicellular systems are only rarely explored. Here, we demonstrate with the natural product Rotihibin A and the plant research model system Arabidopsis thaliana that unbiased transcriptional profiling enables a rapid, label-free, and compound economic evaluation of a natural product's bioactivity profile in a complex multicellular organism. To this end, we established a chemical synthesis of Rotihibin A as well as that of structural analogues, followed by transcriptional profiling-guided identification and validation of Rotihibin A as a TOR signaling inhibitor (TOR=target of rapamycin). These findings illustrate that a combined approach of transcriptional profiling and natural product research may represent a technically simple approach to streamline the development of chemical tools from natural products even for biologically complex multicellular biological systems.

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Proteolysis is a key catalytic event in protein and thus cellular homeostasis. Despite the importance and wide implications of proteolytic processing and degradation, methods describing the degradation of folded proteins at high temporal and spatial resolution are not well established. However, this information is required to obtain a deep mechanistic understanding of proteolytic events and their consequences. Here, we describe an integrated method comprising time-resolved mass spectrometry, circular dichroism spectroscopy and bioinformatics to reveal the sequential degradation and unfolding of the model substrate annexin A1 by the human serine protease HTRA1. This workflow represents a general strategy for obtaining precise molecular insights into protease-substrate interactions that can be conveniently adapted to studying other posttranslational modifications such as phosphorylation in dynamic protein complexes.