Karsten Krug

Proteome analysis of erythrocytes lacking AMP-activated protein kinase reveals a role of PAK2 kinase in eryptosis.

Activation of AMP-activated protein kinase (AMPK) upon energy depletion stimulates energy production and limits energy utilization. Erythrocytes lacking AMPK are susceptible to suicidal cell death (eryptosis). A hallmark of eryptosis is cell membrane scrambling with phosphatidylserine exposure at the erythrocyte surface, which can be identified from annexin V-binding. AMPKα1-deficient mice (ampk(-/-)) suffer from anemia due to accelerated clearance of erythrocytes from circulating blood. To determine the link between AMPK and the eryptotic phenotype, we performed a global proteome analysis of erythrocytes from ampk(-/-) mice and wild-type mice using high-accuracy mass spectrometry and label-free quantitation and measured changes of expression levels of 812 proteins. Notably, the p21-activated kinase 2 (PAK2), previously implicated in apoptosis, was detected as downregulated in erythrocytes of ampk(-/-) mice, pointing to its potential role in eryptosis. To validate this, we showed that specific inactivation of PAK2 with the inhibitor IPA3 in human and murine ampk(+/+) erythrocytes increases the binding of annexin V and augments the stimulating effect of glucose deprivation on annexin V-binding. Inhibition of PAK2 failed to significantly modify annexin V-binding in ampk(-/-) erythrocytes, showing that AMPK and PAK2 exert similar phenotypes upon inactivation in erythrocytes. This study presents the first large-scale analysis of protein expression in erythrocytes from AMPKα1-deficient mice and reveals a role of PAK2 kinase in eryptosis.

Mitotic Substrates of the Kinase Aurora with Roles in Chromatin Regulation Identified Through Quantitative Phosphoproteomics of Fission Yeast

System-wide analysis of proteins phosphorylated by the mitotic kinase Aurora in fission yeast suggests widespread functions for this kinase in regulating chromatin dynamics. Expanding Aurora’s World Yeast are an attractive system for investigating complex biological processes, such as mitosis, because they frequently have a smaller set of regulatory genes than do mammals and they are genetically tractable. For instance, the mitotic kinase Aurora is encoded by a single gene in yeast, in contrast to metazoans, which have two or more Aurora-encoding genes. Koch et al. used fission yeast engineered to express an inhibitor-sensitive form of Aurora and then performed phosphoproteomic analysis to identify previously unknown targets of this key regulator of mitosis. Although Aurora has a well-established function in chromosome attachment to mitotic spindles, this work suggests that Aurora has a broader role in regulation of chromatin structure and may protect cells from DNA damage. These additional functions have implications for the investigation of Aurora inhibitors as cancer therapeutics. Kinases of the Aurora family are essential for the proper execution of mitosis in eukaryotes, and Aurora inhibitors are in clinical trials as anticancer drugs. We applied site-specific quantitative phosphoproteomics in conjunction with chemical inhibition of Aurora to identify mitotic Aurora substrates in fission yeast on a proteome-wide scale. We detected 8000 phosphorylation events, of which we assigned almost 6000 to a specific residue; 220 were reduced in cells exposed to the Aurora inhibitor. After controlling for unspecific effects of the inhibitor, we classified 70 sites (on 42 proteins) as probable targets of Aurora, which enabled refinement of the consensus sequence for phosphorylation by Aurora. Several of the substrate candidates were known targets of Aurora, validating the approach, but most represented newly detected Aurora substrates. The involvement of these Aurora substrates in diverse aspects of chromatin dynamics suggests that in addition to its established role in controlling chromosome compaction and attachment to the mitotic spindle, Aurora influences other aspects of chromatin architecture and function during mitosis.

Global Dynamics of the Escherichia coli Proteome and Phosphoproteome During Growth in Minimal Medium

Recent phosphoproteomics studies have generated relatively large data sets of bacterial proteins phosphorylated on serine, threonine, and tyrosine, implicating this type of phosphorylation in the regulation of vital processes of a bacterial cell; however, most phosphoproteomics studies in bacteria were so far qualitative. Here we applied stable isotope labeling by amino acids in cell culture (SILAC) to perform a quantitative analysis of proteome and phosphoproteome dynamics of Escherichia coli during five distinct phases of growth in the minimal medium. Combining two triple-SILAC experiments, we detected a total of 2118 proteins and quantified relative dynamics of 1984 proteins in all measured phases of growth, including 570 proteins associated with cell wall and membrane. In the phosphoproteomic experiment, we detected 150 Ser/Thr/Tyr phosphorylation events, of which 108 were localized to a specific amino acid residue and 76 were quantified in all phases of growth. Clustering analysis of SILAC ratios revealed distinct sets of coregulated proteins for each analyzed phase of growth and overrepresentation of membrane proteins in transition between exponential and stationary phases. The proteomics data indicated that proteins related to stress response typically associated with the stationary phase, including RpoS-dependent proteins, had increasing levels already during earlier phases of growth. Application of SILAC enabled us to measure median occupancies of phosphorylation sites, which were generally low (<12%). Interestingly, the phosphoproteome analysis showed a global increase of protein phosphorylation levels in the late stationary phase, pointing to a likely role of this modification in later phases of growth.

Absolute Proteome and Phosphoproteome Dynamics during the Cell Cycle of Schizosaccharomyces pombe (Fission Yeast)

To quantify cell cycle-dependent fluctuations on a proteome-wide scale, we performed integrative analysis of the proteome and phosphoproteome during the four major phases of the cell cycle in Schizosaccharomyces pombe. In highly synchronized cells, we identified 3753 proteins and 3682 phosphorylation events and relatively quantified 65% of the data across all phases. Quantitative changes during the cell cycle were infrequent and weak in the proteome but prominent in the phosphoproteome. Protein phosphorylation peaked in mitosis, where the median phosphorylation site occupancy was 44%, about 2-fold higher than in other phases. We measured copy numbers of 3178 proteins, which together with phosphorylation site stoichiometry enabled us to estimate the absolute amount of protein-bound phosphate, as well as its change across the cell cycle. Our results indicate that 23% of the average intracellular ATP is utilized by protein kinases to phosphorylate their substrates to drive regulatory processes during cell division. Accordingly, we observe that phosphate transporters and phosphate-metabolizing enzymes are phosphorylated and therefore likely to be regulated in mitosis.

The neuropeptide complement of the marine annelid Platynereis dumerilii

BackgroundThe marine annelid Platynereis dumerilii is emerging as a powerful lophotrochozoan experimental model for evolutionary developmental biology (evo-devo) and neurobiology. Recent studies revealed the presence of conserved neuropeptidergic signaling in Platynereis, including vasotocin/neurophysin, myoinhibitory peptide and opioid peptidergic systems. Despite these advances, comprehensive peptidome resources have yet to be reported.ResultsThe present work describes the neuropeptidome of Platynereis. We established a large transcriptome resource, consisting of stage-specific next-generation sequencing datasets and 77,419 expressed sequence tags. Using this information and a combination of bioinformatic searches and mass spectrometry analyses, we increased the known proneuropeptide (pNP) complement of Platynereis to 98. Based on sequence homology to metazoan pNPs, Platynereis pNPs were grouped into ancient eumetazoan, bilaterian, protostome, lophotrochozoan, and annelid families, and pNPs only found in Platynereis. Compared to the planarian Schmidtea mediterranea, the only other lophotrochozoan with a large-scale pNP resource, Platynereis has a remarkably full complement of conserved pNPs, with 53 pNPs belonging to ancient eumetazoan or bilaterian families. Our comprehensive search strategy, combined with analyses of sequence conservation, also allowed us to define several novel lophotrochozoan and annelid pNP families. The stage-specific transcriptome datasets also allowed us to map changes in pNP expression throughout the Platynereis life cycle.ConclusionThe large repertoire of conserved pNPs in Platynereis highlights the usefulness of annelids in comparative neuroendocrinology. This work establishes a reference dataset for comparative peptidomics in lophotrochozoans and provides the basis for future studies of Platynereis peptidergic signaling.

Deep Coverage of the Escherichia coli Proteome Enables the Assessment of False Discovery Rates in Simple Proteogenomic Experiments

Recent advances in mass spectrometry (MS) have led to increased applications of shotgun proteomics to the refinement of genome annotation. The typical “proteo-genomic” workflows rely on the mapping of peptide MS/MS spectra onto databases derived via six-frame translation of the genome sequence. These databases contain a large proportion of spurious protein sequences which make the statistical confidence of the resulting peptide spectrum matches difficult to assess. Here we performed a comprehensive analysis of the Escherichia coli proteome using LTQ-Orbitrap MS and mapped the corresponding MS/MS spectra onto a six-frame translation of the E. coli genome. We hypothesized that the protein-coding part of the E. coli genome approaches complete annotation and that the majority of six frame-specific (novel) peptide spectrum matches can be considered as false positive identifications. We confirm our hypothesis by showing that the posterior error probability distribution of novel hits is almost identical to that of reversed (decoy) hits; this enables us to estimate the sensitivity, specificity, accuracy, and false discovery rate in a typical bacterial proteo-genomic dataset. We use two complementary computational frameworks for processing and statistical assessment of MS/MS data: MaxQuant and Trans-Proteomic Pipeline. We show that MaxQuant achieves a more sensitive six-frame database search with an acceptable false discovery rate and is therefore well suited for global genome reannotation applications, whereas the Trans-Proteomic Pipeline achieves higher specificity and is well suited for high-confidence validation. The use of a small and well-annotated bacterial genome enables us to address genome coverage achieved in state-of-the-art bacterial proteomics: identified peptide sequences mapped to all expressed E. coli proteins but covered 31.7% of the protein-coding genome sequence. Our results show that false discovery rates can be substantially underestimated even in “simple” proteo-genomic experiments obtained by means of high-accuracy MS and point to the necessity of further improvements concerning the coverage of peptide sequences by MS-based methods.

Quantitative Phosphoproteome Analysis of Bacillus subtilis Reveals Novel Substrates of the Kinase PrkC and Phosphatase PrpC

Reversible protein phosphorylation on serine, threonine, and tyrosine (Ser/Thr/Tyr) residues plays a critical role in regulation of vital processes in the cell. Despite of considerable progress in our understanding of the role of this modification in bacterial physiology, the dynamics of protein phosphorylation during bacterial growth has rarely been systematically addressed. In addition, little is known about in vivo substrates of bacterial Ser/Thr/Tyr kinases and phosphatases. An excellent candidate to study these questions is the Gram-positive bacterium Bacillus subtilis, one of the most intensively investigated bacterial model organism with both research and industrial applications. Here we employed gel-free phosphoproteomics combined with SILAC labeling and high resolution mass spectrometry to study the proteome and phosphoproteome dynamics during the batch growth of B. subtilis. We measured the dynamics of 1666 proteins and 64 phosphorylation sites in five distinct phases of growth. Enzymes of the central carbon metabolism and components of the translation machinery appear to be highly phosphorylated in the stationary phase, coinciding with stronger expression of Ser/Thr kinases. We further used the SILAC workflow to identify novel putative substrates of the Ser/Thr kinase PrkC and the phosphatase PrpC during stationary phase. The overall number of putative substrates was low, pointing to a high kinase and phosphatase specificity. One of the phosphorylation sites affected by both, PrkC and PrpC, was the Ser281 on the oxidoreductase YkwC. We showed that PrkC phosphorylates and PrpC dephosphorylates YkwC in vitro and that phosphorylation at Ser281 abolishes the oxidoreductase activity of YkwC in vitro and in vivo. Our results present the most detailed phosphoproteomic analysis of B. subtilis growth to date and provide the first global in vivo screen of PrkC and PrpC substrates.

Global Detection of Protein Kinase D-dependent Phosphorylation Events in Nocodazole-treated Human Cells

Protein kinase D (PKD) is a cytosolic serine/threonine kinase implicated in regulation of several cellular processes such as response to oxidative stress, directed cell migration, invasion, differentiation, and fission of the vesicles at the trans-Golgi network. Its variety of functions must be mediated by numerous substrates; however, only a couple of PKD substrates have been identified so far. Here we perform stable isotope labeling of amino acids in cell culture-based quantitative phosphoproteomic analysis to detect phosphorylation events dependent on PKD1 activity in human cells. We compare relative phosphorylation levels between constitutively active and kinase dead PKD1 strains of HEK293 cells, both treated with nocodazole, a microtubule-depolymerizing reagent that disrupts the Golgi complex and activates PKD1. We identify 124 phosphorylation sites that are significantly down-regulated upon decrease of PKD1 activity and show that the PKD target motif is significantly enriched among down-regulated phosphorylation events, pointing to the presence of direct PKD1 substrates. We further perform PKD1 target motif analysis, showing that a proline residue at position +1 relative to the phosphorylation site serves as an inhibitory cue for PKD1 activity. Among PKD1-dependent phosphorylation events, we detect predominantly proteins with localization at Golgi membranes and function in protein sorting, among them several sorting nexins and members of the insulin-like growth factor 2 receptor pathway. This study presents the first global detection of PKD1-dependent phosphorylation events and provides a wealth of information for functional follow-up of PKD1 activity upon disruption of the Golgi network in human cells.

Extending SILAC to Proteomics of Plant Cell Lines

A simple modification of the SILAC protocol renders the method fully applicable to dark-grown plant cell lines. The approach is widely applicable to the analysis of short-term processes, such as analysis of signal transduction or quantification of microRNA targets at the proteome level. Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) is a widespread method for metabolic labeling of cells and tissues in quantitative proteomics; however, incomplete incorporation of the label has so far restricted its wider use in plants. Here, we argue that differential labeling by two different versions of the labeled amino acids renders SILAC fully applicable to dark-grown plant cell lines. By comparing Arabidopsis thaliana cell cultures labeled with two versions of heavy Lys (Lys-4 and Lys-8), we show that this simple modification of the SILAC protocol enables similar quantitation accuracy, precision, and reproducibility as conventional SILAC in animal cells.

Characterization of the E. coli proteome and its modifications during growth and ethanol stress

We set out to provide a resource to the microbiology community especially with respect to systems biology based endeavors. To this end, we generated a comprehensive dataset monitoring the changes in protein expression, copy number, and post translational modifications in a systematic fashion during growth and ethanol stress in E. coli. We utilized high-resolution mass spectrometry (MS) combined with the Super-SILAC approach. In a single experiment, we have identified over 2300 proteins, which represent approximately 88% of the estimated expressed proteome of E. coli and estimated protein copy numbers using the Intensity Based Absolute Quantitation (iBAQ). The dynamic range of protein expression spanned up to six orders of magnitude, with the highest protein copy per cell estimated at approximately 300,000. We focused on the proteome dynamics involved during stationary phase growth. A global up-regulation of proteins related to stress response was detected in later stages of growth. We observed the down-regulation of the methyl directed mismatch repair system containing MutS and MutL of E. coli growing in long term growth cultures, confirming that higher incidence of mutations presents an important mechanism in the increase in genetic diversity and stationary phase survival in E. coli. During ethanol stress, known markers such as alcohol dehydrogenase and aldehyde dehydrogenase were induced, further validating the dataset. Finally, we performed unbiased protein modification detection and revealed changes of many known and unknown protein modifications in both experimental conditions. Data are available via ProteomeXchange with identifier PXD001648.