Reproducible and Consistent Quantification of the Saccharomyces cerevisiae Proteome by SWATH-mass spectrometry

Targeted mass spectrometry by selected reaction monitoring (S/MRM) has proven to be a suitable technique for the consistent and reproducible quantification of proteins across multiple biological samples and a wide dynamic range. This performance profile is an important prerequisite for systems biology and biomedical research. However, the method is limited to the measurements of a few hundred peptides per LC-MS analysis. Recently, we introduced SWATH-MS, a combination of data independent acquisition and targeted data analysis that vastly extends the number of peptides/proteins quantified per sample, while maintaining the favorable performance profile of S/MRM. Here we applied the SWATH-MS technique to quantify changes over time in a large fraction of the proteome expressed in Saccharomyces cerevisiae in response to osmotic stress.We sampled cell cultures in biological triplicates at six time points following the application of osmotic stress and acquired single injection data independent acquisition data sets on a high-resolution 5600 tripleTOF instrument operated in SWATH mode. Proteins were quantified by the targeted extraction and integration of transition signal groups from the SWATH-MS datasets for peptides that are proteotypic for specific yeast proteins. We consistently identified and quantified more than 15,000 peptides and 2500 proteins across the 18 samples. We demonstrate high reproducibility between technical and biological replicates across all time points and protein abundances. In addition, we show that the abundance of hundreds of proteins was significantly regulated upon osmotic shock, and pathway enrichment analysis revealed that the proteins reacting to osmotic shock are mainly involved in the carbohydrate and amino acid metabolism. Overall, this study demonstrates the ability of SWATH-MS to efficiently generate reproducible, consistent, and quantitatively accurate measurements of a large fraction of a proteome across multiple samples.In systems biology and biomedical studies targeted mass spectrometry via selected reaction monitoring (SRM)¹ (also known as multiple reaction monitoring, MRM) has emerged as a powerful technique for the consistent and reproducible quantification of proteins across numerous complex samples (1–6). Optimal sets of precursor/fragment ion pairs, called transitions, uniquely represent a specific peptide. They constitute a definitive mass spectrometric assay for the detection of targeted peptides, and thus the proteins from which they derive, in the complex matrix of trypsinized biological samples (1, 7). Protein quantification is then performed by relating the intensity of the acquired transition signals to suitable reference signals. Most quantification strategies commonly used in proteomics are compatible with this method (8). Recently, the high-throughput development of S/MRM assays has been achieved via the generation of MS/MS spectral libraries from the measurements of thousands of synthetic peptides representing proteotypic peptides (9). Moreover, many experimental and bioinformatics workflows have been developed for assay generation, assay optimization, data evaluation, and the dissemination of optimized S/MRM assays (10–16). In combination, these developments have supported the creation of mass-spectrometric maps of entire proteomes of selected species including Streptococcus pyogenes, Mycobacterium tuberculosis, and Saccharomyces cerevisae (5, 17–19) and the robust use of these resources to quantify specific protein sets across multiple biological samples.Currently, targeted proteomics by S/MRM can be multiplexed to a maximum set of ∼100 proteins that can be measured in a single LC-S/MRM run at optimal quantitative accuracy, limit of detection and dynamic range. The quantification of higher numbers of proteins per run compromises some of the performance parameters of the method because of well understood tradeoffs (8). Attempts have been made to further increase the degree of multiplexing of S/MRM, either by automated adjustment of the scheduled detection windows (20) or by acquiring, in a data-dependent manner, the complete set of precursor-fragment ion pairs of a given assay (21). Alternatively, parallel reaction monitoring (PRM) approach operated on quadrupole-orbitrap mass spectrometer has shown detection and quantification performances similar or better than those obtained in SRM, because of the increased selectivity of the mass analyzer (22–24). These approaches are promising, but their application relies on prior knowledge of the precursor ions that need to be targeted during the data acquisition, and they still are subject of the above-mentioned tradeoffs.Recently, we developed a novel MS strategy that combines data independent acquisition (DIA) of trypsinized protein samples with S/MRM-like, in silico targeted analysis of the acquired complete fragment ion maps (25). We termed the method SWATH-MS, and applied the sequential isolation window acquisition principle (26) to repeatedly cycle, in a single injection, through 32 consecutive 25-Da precursor isolation windows (swaths). The process acquires fragment ion spectra of all precursors in a space defined by the 400–1200 m/z precursor range and a user-specified retention time window. We used the prior information in MS/MS spectral libraries to extract groups of signals that uniquely identify a specific peptide, and to demonstrate that peptides could be identified and quantified over a dynamic range of four orders of magnitude, even when the precursors were not detectable in a survey MS scan. For the 45 proteins involved in the central carbon metabolism of yeast, we demonstrated that the accuracy of quantification was equivalent to that of S/MRM (25). However, because of the lack of adequate software tools at that time, the extensive high-throughput targeted data analysis of the SWATH-MS maps could not be fully demonstrated in that first study.Here we demonstrate the multiplexing capabilities of SWATH-MS for the detection and quantification of significantly larger fractions of a proteome as compared with S/MRM, without compromising reproducibility, consistency, and quantitative accuracy. We describe the large scale deployment of fragment ion spectral libraries and the use of S/MRM-like analysis tools specifically adapted to SWATH-MS data for the detection and quantification of temporal changes of the S. cerevisae proteome in response to osmotic stress.     

Accommodation of tmRNA–SmpB into stalled ribosomes: A cryo-EM study

In eubacteria, translation of defective messenger RNAs (mRNAs) produces truncated polypeptides that stall on the ribosome. A quality control mechanism referred to as trans-translation is performed by transfer-messenger RNA (tmRNA), a specialized RNA acting as both a tRNA and an mRNA, associated with small protein B (SmpB). So far, a clear view of the structural movements of both the protein and RNA necessary to perform accommodation is still lacking. By using a construct containing the tRNA-like domain as well as the extended helix H2 of tmRNA, we present a cryo-electron microscopy study of the process of accommodation. The structure suggests how tmRNA and SmpB move into the ribosome decoding site after the release of EF-Tu·GDP. While two SmpB molecules are bound per ribosome in a preaccommodated state, our results show that during accommodation the SmpB protein interacting with the small subunit decoding site stays in place while the one interacting with the large subunit moves away. Relative to canonical translation, an additional movement is observed due to the rotation of H2. This suggests that the larger movement required to resume translation on a tmRNA internal open reading frame starts during accommodation.     

Glycoprotein L disruption reveals two functional forms of the murine gammaherpesvirus 68 glycoprotein H

The herpesvirus glycoprotein H (gH) and gL associate to form a heterodimer that plays a central role in virus-driven membrane fusion. When archetypal alpha- or betaherpesviruses lack gL, gH misfolds and progeny virions are noninfectious. In order to define the role that gL plays in gamma-2 herpesvirus infections, we disrupted its coding sequence in murine gammaherpesvirus-68 (MHV-68). MHV-68 lacking gL folded gH into a conformation antigenically distinct from the form that normally predominates on infected cells. gL-deficient virions bound less well than the wild type to epithelial cells and fibroblasts. However, they still incorporated gH and remained infectious. The cell-to-cell spread of gL-deficient viruses was remarkably normal, as was infection, dissemination, and latency establishment in vivo. Viral membrane fusion was therefore gL independent. The major function of gL appeared to be allowing gH to participate in cell binding prior to membrane fusion. This function was most important for the entry of MHV-68 virions into fibroblasts and epithelial cells.     

Modelling the distribution and compositional variation of plant communities at the continental scale

Aim

We investigate whether (1) environmental predictors allow to delineate the distribution of discrete community types at the continental scale and (2) how data completeness influences model generalization in relation to the compositional variation of the modelled entities.

Location

Europe.

Methods

We used comprehensive datasets of two community types of conservation concern in Europe: acidophilous beech forests and base‐rich fens. We computed community distribution models (CDMs) calibrated with environmental predictors to predict the occurrence of both community types, evaluating geographical transferability, interpolation and extrapolation under different scenarios of sampling bias. We used generalized dissimilarity modelling (GDM) to assess the role of geographical and environmental drivers in compositional variation within the predicted distributions.

Results

For the two community types, CDMs computed for the whole study area provided good performance when evaluated by random cross‐validation and external validation. Geographical transferability provided lower but relatively good performance, while model extrapolation performed poorly when compared with interpolation. Generalized dissimilarity modelling showed a predominant effect of geographical distance on compositional variation, complemented with the environmental predictors that also influenced habitat suitability.

Main conclusions

Correlative approaches typically used for modelling the distribution of individual species are also useful for delineating the potential area of occupancy of community types at the continental scale, when using consistent definitions of the modelled entity and high data completeness. The combination of CDMs with GDM further improves the understanding of diversity patterns of plant communities, providing spatially explicit information for mapping vegetation diversity and related habitat types at large scales.

     

Transmembrane modulator-dependent bacterial tyrosine kinase activates UDP-glucose dehydrogenases

Protein-tyrosine kinases regulating bacterial exopolysaccharide synthesis autophosphorylate on tyrosines located in a conserved C-terminal region. So far no other substrates have been identified for these kinases. Here we demonstrate that Bacillus subtilis YwqD not only autophosphorylates at Tyr-228, but that it also phosphorylates the two UDP-glucose dehydrogenases (UDP-glucose DHs) YwqF and TuaD at a tyrosine residue. However, phosphorylation of YwqF and TuaD occurs only in the presence of the transmembrane protein YwqC. The presumed intracellular C-terminal part of YwqC (last 50 amino acids) seems to interact with the tyrosine-kinase and to allow YwqD-catalysed phosphorylation of the two UDP-glucose DHs, which are key enzymes for the synthesis of acidic polysaccharides. However, only when phosphorylated by YwqD do the two enzymes exhibit detectable UDP-glucose DH activity. Dephosphorylation of P-Tyr-YwqF and P-Tyr-TuaD by the P-Tyr-protein phosphatase YwqE switched off their UDP-glucose DH activity. YwqE, which is encoded by the fourth gene of the B.subtilis ywqCDEF operon, also dephosphorylates P-Tyr-YwqD.