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Aortic valve stenosis (AVS) is one of the most common valve diseases in the world. However, detailed biological understanding of the myocardial changes in AVS hearts on the proteome level is still lacking. Proteomic studies using high-resolution mass spectrometry of formalin-fixed and paraffin-embedded (FFPE) human myocardial tissue of AVS-patients are very rare due to methodical issues. To overcome these issues this study used high resolution mass spectrometry in combination with a stem cell-derived cardiac specific protein quantification-standard to profile the proteomes of 17 atrial and 29 left ventricular myocardial FFPE human myocardial tissue samples from AVS-patients. In our proteomic analysis we quantified a median of 1980 (range 1495–2281) proteins in every single sample and identified significant upregulation of 239 proteins in atrial and 54 proteins in ventricular myocardium. We compared the proteins with published data. Well studied proteins reflect disease-related changes in AVS, such as cardiac hypertrophy, development of fibrosis, impairment of mitochondria and downregulated blood supply. In summary, we provide both a workflow for quantitative proteomics of human FFPE heart tissue and a comprehensive proteomic resource for AVS induced changes in the human myocardium.

Background Yeasts of the CTG-clade lineage, which includes the human-infecting Candida albicans , Candida parapsilosis and Candida tropicalis species, are characterized by an altered genetic code. Instead of translating CUG codons as leucine, as happens in most eukaryotes, these yeasts, whose ancestors are thought to have lost the relevant leucine-tRNA gene, translate CUG codons as serine using a serine-tRNA with a mutated anticodon, tRNA CAG Ser . Previously reported experiments have suggested that 3–5% of the CTG-clade CUG codons are mistranslated as leucine due to mischarging of the tRNA CAG Ser . The mistranslation was suggested to result in variable surface proteins explaining fast host adaptation and pathogenicity. Results In this study, we reassess this potential mistranslation by high-resolution mass spectrometry-based proteogenomics of multiple CTG-clade yeasts, including various C. albicans strains, isolated from colonized and from infected human body sites, and C. albicans grown in yeast and hyphal forms. Our data do not support a bias towards CUG codon mistranslation as leucine. Instead, our data suggest that (i) CUG codons are mistranslated at a frequency corresponding to the normal extent of ribosomal mistranslation with no preference for specific amino acids, (ii) CUG codons are as unambiguous (or ambiguous) as the related CUU leucine and UCC serine codons, (iii) tRNA anticodon loop variation across the CTG-clade yeasts does not result in any difference of the mistranslation level, and (iv) CUG codon unambiguity is independent of C. albicans ’ strain pathogenicity or growth form. Conclusions Our findings imply that C. albicans does not decode CUG ambiguously. This suggests that the proposed misleucylation of the tRNA CAG Ser might be as prevalent as every other misacylation or mistranslation event and, if at all, be just one of many reasons causing phenotypic diversity.

Extracellular signal-regulated protein kinase 1 and 2 (ERK1/2) are members of the MAPK family and participate in the transduction of stimuli in cellular responses. Their long-term actions are accomplished by promoting the expression of specific genes whereas faster responses are achieved by direct phosphorylation of downstream effectors located throughout the cell. In this study we determined that hERK1 translocates to the mitochondria of HeLa cells upon a proliferative stimulus. In the mitochondrial environment, hERK1 physically associates with (i) at least 5 mitochondrial proteins with functions related to transport (i.e. VDAC1), signalling, and metabolism; (ii) histones H2A and H4; and (iii) other cytosolic proteins. This work indicates for the first time the presence of diverse ERK-complexes in mitochondria and thus provides a new perspective for assessing the functions of ERK1 in the regulation of cellular signalling and trafficking in HeLa cells.

Brakemann et al . present a reversibly photoswitchable fluorescent protein, called Dreiklang, that can be turned on and off at wavelengths distinct from those used for imaging. They show that the protein is advantageous for studying protein dynamics in living cells and for super-resolution imaging. Photoswitchable fluorescent proteins have enabled new approaches for imaging cells, but their utility has been limited either because they cannot be switched repeatedly or because the wavelengths for switching and fluorescence imaging are strictly coupled. We report a bright, monomeric, reversibly photoswitchable variant of GFP, Dreiklang, whose fluorescence excitation spectrum is decoupled from that for optical switching. Reversible on-and-off switching in living cells is accomplished at illumination wavelengths of ∼365 nm and ∼405 nm, respectively, whereas fluorescence is elicited at ∼515 nm. Mass spectrometry and high-resolution crystallographic analysis of the same protein crystal in the photoswitched on- and off-states demonstrate that switching is based on a reversible hydration/dehydration reaction that modifies the chromophore. The switching properties of Dreiklang enable far-field fluorescence nanoscopy in living mammalian cells using both a coordinate-targeted and a stochastic single molecule switching approach.

Patients with head‐and‐neck cancer can develop both lung metastasis and primary lung cancer during the course of their disease. Despite the clinical importance of discrimination, reliable diagnostic biomarkers are still lacking. Here, we have characterised a cohort of squamous cell lung (SQCLC) and head‐and‐neck (HNSCC) carcinomas by quantitative proteomics. In a training cohort, we quantified 4,957 proteins in 44 SQCLC and 30 HNSCC tumours. A total of 518 proteins were found to be differentially expressed between SQCLC and HNSCC, and some of these were identified as genetic dependencies in either of the two tumour types. Using supervised machine learning, we inferred a proteomic signature for the classification of squamous cell carcinomas as either SQCLC or HNSCC, with diagnostic accuracies of 90.5% and 86.8% in cross‐ and independent validations, respectively. Furthermore, application of this signature to a cohort of pulmonary squamous cell carcinomas of unknown origin leads to a significant prognostic separation. This study not only provides a diagnostic proteomic signature for classification of secondary lung tumours in HNSCC patients, but also represents a proteomic resource for HNSCC and SQCLC. Synopsis Differentiation between head‐and‐neck cancer metastasis and primary lung cancer is clinically important for therapy selection. A novel diagnostic proteomic signature allows differentiation between these tumour types, and a proteomic resource for squamous cell tumours is here provided. The protein expression profiles of 63 squamous cell lung and 49 head‐and‐neck tumours were analysed by quantitative mass spectrometry yielding a proteomic resource covering 6,214 quantified proteins. 518 proteins were found to be differentially expressed between squamous cell lung and head‐and‐neck cancers which are known to share genomic and morphological features. A diagnostic proteomic signature for differentiation between primary squamous cell lung cancers and head‐and‐neck cancer metastases was identified by quantitative mass‐spectrometry‐based proteomics and validated in independent patient cohorts. Graphical Abstract Differentiation between head‐and‐neck cancer metastasis and primary lung cancer is clinically important for therapy selection. A novel diagnostic proteomic signature allows differentiation between these tumour types, and a proteomic resource for squamous cell tumours is here provided.

Extraction of demembranated bull sperm flagella by SDS was used to maximize tubulin solubilization. The alpha- and beta-tubulin separated by SDS-PAGE were treated with endoproteinases LysC and AspN, respectively. Carboxy-terminal fragments were isolated by Mono Q chromatography and reversed-phase HPLC. Automated sequencing and mass spectrometry revealed an astonishingly high number of tubulin variants. Many variants were due to polyglutamylation and in particular to polyglycylation. The number of side-chain glycyl residues ranged from 0 to 28 in alpha and 0 to 15 in beta. Corresponding values for side-chain glutamyl residues were 0-6 in alpha and 0-3 in beta. Additional alpha variability was based on carboxy-terminal detyrosination and partial loss of the penultimate glutamate. A major glycylation site in alpha- and beta-tubulin was mapped. Some variants seem to display both glycyl and glutamyl side chains.

Photoswitchable fluorescent proteins have enabled new approaches for imaging cells, but their utility has been limited either because they cannot be switched repeatedly or because the wavelengths for switching and fluorescence imaging are strictly coupled. We report a bright, monomeric, reversibly photoswitchable variant of GFP, Dreiklang, whose fluorescence excitation spectrum is decoupled from that for optical switching. Reversible on-and-off switching in living cells is accomplished at illumination wavelengths of ~365 nm and ~405 nm, respectively, whereas fluorescence is elicited at ~515 nm. Mass spectrometry and highresolution crystallographic analysis of the same protein crystal in the photoswitched on- and off-states demonstrate that switching is based on a reversible hydration/dehydration reaction that modifies the chromophore. The switching properties of Dreiklang enable far-field fluorescence nanoscopy in living mammalian cells using both a coordinate-targeted and a stochastic single molecule switching approach.

Candida yeasts causing human infections are spread across the yeast phylum with Candida glabrata being related to Saccharomyces cerevisiae, Candida krusei grouping to Pichia spp., and Candida albicans, Candida parapsilosis and Candida tropicalis belonging to the CTG-clade. The latter lineage contains yeasts with an altered genetic code translating CUG codons as serine using a serine-tRNA with a mutated anticodon. It has been suggested that the CTG-clade CUG codons are mistranslated to a small extent as leucine due to mischarging of the serine-tRNA(CAG). The mistranslation was suggested to result in variable surface proteins explaining fast host adaptation and pathogenicity. Here, we re-assessed this potential mistranslation by high-resolution mass spectrometry-based proteogenomics of multiple CTG-clade yeasts, various C. albicans strains, isolated from colonized and from infected human body sites, and C. albicans grown in yeast and hyphal forms. Our in vivo data do not support CUG codon mistranslation by leucine. Instead, (i) CUG codons are mistranslated only to the extent of ribosomal mistranslation with no preference for specific amino acids, (ii) CUG codons are as unambiguous (or ambiguous) as the related CUU leucine and UCC serine codons, (iii) tRNA anticodon loop variation across the CTG-clade yeasts does not result in any difference of the mistranslation level, and (iv) CUG codon unambiguity is independent of C. albicans’ strain pathogenicity or growth form.

The genetic code is the universal cellular translation table to convert nucleotide into amino acid sequences. Changes to sense codons are expected to be highly detrimental. However, reassignments of single or multiple codons in mitochondria and nuclear genomes demonstrated that the code can evolve. Still, alterations of nuclear genetic codes are extremely rare leaving hypotheses to explain these variations, such as the 'codon capture', the 'genome streamlining' and the 'ambiguous intermediate' theory, in strong debate. Here, we report on a novel sense codon reassignment in Pachysolen tannophilus, a yeast related to the Pichiaceae. By generating proteomics data and using tRNA sequence comparisons we show that in Pachysolen CUG codons are translated as alanine and not as the universal leucine. The polyphyly of the CUG- decoding tRNAs in yeasts is best explained by a tRNA loss driven codon reassignment mechanism. Loss of the CUG-tRNA in the ancient yeast is followed by gradual decrease of respective codons and subsequent codon capture by tRNAs whose anticodon is outside the aminoacyl-tRNA synthetase recognition region. Our hypothesis applies to all nuclear genetic code alterations and provides several testable predictions. We anticipate more codon reassignments to be uncovered in existing and upcoming genome projects.

Energy system models have become indispensable tools for planning future energy systems by providing insights into different development trajectories. However, sustainable systems with high shares of renewable energy are characterized by growing cross-sectoral interdependencies and decentralized structures. To capture important properties of increasingly complex energy systems, sophisticated and flexible modelling tools are needed. At the same time, open science is becoming increasingly important in energy system modelling. This paper presents the Open Energy Modelling Framework (oemof) as a novel approach to energy system modelling, representation and analysis. The framework provides a toolbox to construct comprehensive energy system models and has been published open source under a free licence. Through collaborative development based on open processes, the framework supports a maximum level of participation, transparency and open science principles in energy system modelling. Based on a generic graph-based description of energy systems, it is well-suited to flexibly model complex cross-sectoral systems and incorporate various modelling approaches. This makes the framework a multi-purpose modelling environment for modelling and analyzing different systems at scales ranging from urban to transnational.