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Plus‐strand RNA [(+)RNA] viruses are the largest group of viruses, medically highly relevant human pathogens, and are a socio‐economic burden. The current global pandemic of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) shows how a virus has been rapidly spreading around the globe and that– without an antiviral treatment– virus trans mission is solely dependent on human behavior. However, other (+)RNA viruses such as rhino‐, noro‐, dengue‐ (DENV), Zika, and hepatitis C virus (HCV) are constantly spreading and expanding geographically. As in the case of hepatitis C, since its first identification in the 1970s, it took more than 30 years to understand the HCV structure, genome organiza t ion, life cycle, and virus‐host interplay leading to the cure of a chronic and life‐threatening disease. However, no vaccination or antiviral treatment exists for most (+)RNA viruses. Con sequently, a precise and comprehensive analysis of the viruses, their life cycles, and parasitic interactions with their hosts remains an important field of research. In the presented thesis, we use mathematical modeling to study the life cycles of (+)RNA viruses. We analyze replication strategies of closely related (+)RNA viruses, namely HCV, DENV, and coxsackievirus B3 (CVB3), to compare their life cycles in the presence and ab sence of the host’s immune response and antiviral drug treatment and consider different viral spreading mechanisms. Host dependency factors shape the viral life cycle, contribut ing to permissiveness and replication efficiency. Our mathematical models predicted that host dependency factors, such as ribosomes, and thus the virus’ ability to hijack the host cell’s translation machinery play an essential role in the viral genome replication efficiency. Furthermore, our mathematical model suggested that the availability of ribosomes in the vi ral life cycle is a crucial factor in disease outcome: the development of an acute or chronic disease. Even though the host developed strategies to attack the virus, e.g., by degrading the viral genome, blocking the viral protein production, and preventing viral spread, viruses found strategies to countermeasure those so‐called host restriction factors derived from the immune system. Our mathematical models predicted that DENV might be highly effective in blocking the cell’s attempts to recognize the invader. Moreover, we found ongoing HCV RNAreplication even with highly effective antiviral drugs that block processes in the viral life cycle. Furthermore, we found alternative pathways of infection spread, e.g., by HCV RNA carrying exosomes, which may be a possible explanation for reported plasma HCV RNA at the end of treatment, found in a subset of patients. Hence, the mathematical models presented in this thesis provide valuable tools to study the viral replication mechanism in detail. Even though being a simplification of reality, our model predictions confirm and explain known and suggest novel biological mechanisms. In the pre sented thesis, I will summarize and discuss key findings and contextualize model predictions in the broader scientific literature to improve our understanding of the viral dynamics and the virus‐host interplay.
Diese Arbeit beschäftigt sich mit der Analyse und Modellierung des Microarrayexperiments. Hierfür wird das gesamte Experiment in fünf Teilprozesse zerlegt, die Reverse Transkription, die Hybridisierung, das Waschen, die Fluoreszenz und die Detektion. Jeder Teilprozess wurde separat modelliert und analysiert. Anschließend wurde die Teilprozesse im Gesamtmodell vereint und dieses für verschiedene Parametersituationen simuliert. Diese Arbeit ermöglicht eine mathematische Handhabung des Microarrayexperiments und deckt seine Abhängigkeit von den einzelnen Schritten des Experiments auf. Dies kann benutzt werden, um Normalisierung und Analyse zu verbessern.
Purpose
The aim is to investigate the associations of the mother’s socioeconomic and lifestyle factors and life satisfaction with the delivery of a small for gestational age (SGA) infant.
Methods
Data from 4598 participants of the population-based birth cohort study Survey of Neonates in Pomerania (SniP) including comprehensive information on pregnancies, mothers, and their offspring in Western Pomerania, Germany were used in this study. The associations were analyzed using linear and logistic regression models.
Results
After logistic regression analysis adjusted for height of the mother, women who delivered SGA infants, had lower education (p < 0.01) and smoked more frequently during pregnancy (p < 0.01) compared with mothers of adequate for gestational age (AGA) neonates. A mother with less than 10 years of education and one who continued smoking during pregnancy had an odds ratio (OR) of 2.23 [95% confidence interval (CI) = 1.44 to 3.46] and 2.68 (95% CI = 2.06–3.49) of having an SGA infant, respectively. There was no association between the employment of the mother (p = 0.28), the monthly income (p = 0.09), the family status (p = 0.80), the number of friendships outside the household that the mother would not wish to relinquish (p = 0.47), the number of people that she could rely on in case of an emergency (p = 0.75), or alcohol consumption prior to (p = 0.14) or during the pregnancy (p = 0.99) with SGA. Finally, women who delivered SGA infants were more frequently dissatisfied with their employment (p = 0.03) and financial status (p < 0.01).
Conclusions
Women who delivered SGA infants had more associated socioeconomic and lifestyle risk factors and were more frequently dissatisfied with their life conditions than mothers of AGA neonates.
Abstract
Improving our sparse knowledge of the mating and reproductive behaviour of white rhinoceros (Ceratotherium simum Burchell, 1817) is essential for the effective conservation of this iconic species. By combining morphological, physiological and habitat data with paternity assignments of 104 known mother–offspring pairs collected over a period of 13 years, we provide the most comprehensive analysis of the mating system in this species. We show that while the overall mating system was promiscuous, and both males and females produced more offspring when mating with several partners, half of all females with multiple offspring were monogamous. Additionally, we find that mating and reproductive success varied significantly among territorial males in two independent sets of males. In females, however, variation in the mating and the reproductive success was not larger than expected by random demographic fluctuations. Horn size, testosterone metabolite concentration, territory size, habitat openness and the volume of preferred food within the territory did not seem to influence male mating or reproductive success. Moreover, there was no sign of inbreeding avoidance: females tended to mate more frequently with closely related males, and one daughter produced a progeny with her father. The lack of inbreeding avoidance, in combination with the skew in male reproductive success, the partial monogamy in females and the territorial‐based mating system, jeopardizes the already low genetic variation in the species. Considering that the majority of populations are restricted to fenced reserves and private farms, we recommend taking preventive measures that aim to reduce inbreeding in white rhinoceros. A video abstract can be viewed here.
There is still considerable controversy surrounding the impact of mastication on obesity. The aim of this study was to identify the interplay between the masticatory muscles, teeth, and general muscular fitness and how they contribute to body adiposity in a general German population. This cross-sectional study included 616 participants (300 male, 316 female, age 31–93 years) from the population-based Study of Health in Pomerania. The cross-sectional areas of the masseter, medial and lateral pterygoid muscles were measured using magnetic resonance imaging (MRI), muscular fitness assessed by hand grip strength (HGS) and body fat distribution was measured by bioelectrical impedance analysis (BIA) and MRI. The overall prevalence of obesity was high in our cohort. The cross-sectional area of the masseter muscles was positively associated with the number of teeth, body mass index (BMI) and HGS, and negatively associated with the BIA-assessed body fat when adjusted for age, sex, teeth, and BMI. Especially the correlation was strong (p < 0.001). Analogous relationships were observed between the masseter, HGS and MRI-assessed subcutaneous fat. These associations were most pronounced with masseter, but also significant with both pterygoid muscles. Though the masticatory muscles were affected by the number of teeth, teeth had no impact on the relations between masseter muscle and adiposity. Physical fitness and masticatory performance are associated with body shape, controlled and directed by the relevant muscles.
Mast cells reside on and near the cerebral vasculature, the predominant site of pneumococcal entry into the central nervous system (CNS). Although mast cells have been reported to be crucial in protecting from systemic bacterial infections, their role in bacterial infections of the CNS remained elusive. Here, we assessed the role of mast cells in pneumococcal infection in vitro and in vivo. In introductory experiments using mouse bone marrow-derived mast cells (BMMC), we found that (i) BMMC degranulate and release selected cytokines upon exposure to Streptococcus pneumoniae, (ii) the response of BMMC varies between different pneumococcal serotypes and (iii) is dependent on pneumolysin. Intriguingly though, apart from a slight enhancement of cerebrospinal fluid (CSF) pleocytosis, neither two different mast cell-deficient Kit mutant mouse strains (WBB6F1-KitW/Wv and C57BL/6 KitW-sh/W-sh mice) nor pharmacologic mast cell stabilization with cromoglycate had any significant impact on the disease phenotype of experimental pneumococcal meningitis. The incomplete reversal of the enhanced CSF pleocytosis by local mast cell engraftment suggests that this phenomenon is caused by other c-Kit mutation-related mechanisms than mast cell deficiency. In conclusion, our study suggests that mast cells can be activated by S. pneumoniae in vitro. However, mast cells do not play a significant role as sentinels of pneumococcal CSF invasion and initiators of innate immunity in vivo.
Massebilanzdefizite
(2013)
Kapitel 1 beschreibt Untersuchungen zu der Fragestellung, ob Matrixalterung eine Ursache für Massebilanzdefizite sein kann. Diese Vermutung blieb bislang in der Literatur unberücksichtigt und wurde nun anhand einer breit angelegten Studie überprüft. Verschiedene Fertigarzneimittel und für die Studie entwickelte Formulierungen mit PCA und E2 wurden in Klimakammern und Trockenschränken gelagert, um unterschiedliche Alterungszustände der Formulierungsmatrices zu simulieren. In definierten Zeitabständen wurden Proben hinsichtlich der PCA- und E2-Wiederfindung analysiert. Ausgewählt wurden Formulierungen mit geringen Konzentrationen der Modellsubstanzen, da dies als worst-case angesehen wurde und auch die Anforderungen für die Aufklärung von Massebilanzdefiziten bei sehr gering dosierten Arzneimitteln stetig steigen. Im vorliegenden Fall konnte bei 67 % aller untersuchten Proben eine signifikante Änderung der Wiederfindung und somit eine potentielle Ursache für Massebilanzdefizite festgestellt werden. Tritt in der Praxis ein Massebilanzdefizit auf, das mithilfe der etablierten Lösungsansätze nicht aufzuklären ist, so ist die Überprüfung der Wiederfindung der betreffenden Substanz aus der gealterten Matrixstruktur sinnvoll und kann unter Umständen eine Optimierung und ggf. Revalidierung der analytischen Methode erforderlich machen. Ausgangsgedanke für Kapitel 2 war die Tatsache, dass die chromatographische Trennung eines Arzneistoffes und aller seiner Abbauprodukte für die Aufstellung einer lückenlosen Massebilanz entscheidend ist. Die E2-Abbauprodukte delta6- und delta9,11-E2 konnten bislang im Rahmen von Stabilitätsstudien mit E2-Formulierungen nicht separat quantifiziert werden. Zum Teil wird in der Literatur delta6-E2 als Abbauprodukt, delta9,11-E2 jedoch mit dem Verweis auf sehr ähnliche Retentionszeiten lediglich als Syntheseverunreinigung angesehen, was im Gegensatz zu praktischen Erfahrungen und Untersuchungen von Vertretern der pharmazeutischen Industrie steht. Das Kapitel 2 beschreibt die Entwicklung einer chromatographischen Trennmethode für E2 und die Abbauprodukte 6alpha-E2, 6beta-E2, 6-Keto-E2, delta6-E2, beta-Equilenol und delta9,11-E2. Die Trennung aller Komponenten wurde mittels einer Hochleistungsflüssigchromatographie (HPLC) unter der Verwendung einer pentafluorphenylierten Kieselgelphase realisiert. Praktische Anwendung konnte anhand des Marktproduktes Vagifem® gezeigt werden, für welches aufgrund der niedrigen Arzneistoffkonzentration und sehr komplexen Tablettenmatrix zunächst die Entwicklung einer geeigneten Probenvorbereitung durchgeführt wurde. Abschließend wurde die Methode hinsichtlich Selektivität, Sensitivität, Linearität, Präzision und Richtigkeit validiert. Kapitel 3 nimmt Bezug auf die Arzneimittelsicherheit von Fertigarzneimitteln unter analytischen Gesichtspunkten. Die Identität und der Verbleib eines Arzneistoffes und aller seiner Abbauprodukte sind bei der Lagerung von Arzneimitteln nicht nur unter dem Aspekt der Massebilanz von Bedeutung. Entstehen während der Lagerung genotoxische Abbauprodukte, müssen diese in engen Grenzen überwacht werden. Diese Aspekte wurden anhand des Fertigarzneimittels Paludrine® (Arzneistoff Proguanil) verdeutlicht. Zunächst wurde der Übergang des genotoxischen Abbauproduktes PCA in die Gasphase während der Lagerung bei erhöhten Temperaturen überprüft. Simultan wurde der Anstieg von PCA sowie der Proguanilgehalt in den Tabletten bestimmt, um Rückschlüsse auf die Massebilanz zu erhalten. Es konnte gezeigt werden, dass PCA unter den gewählten Bedingungen in der Gasphase über den Tabletten nachweisbar war. Der entsprechende Gehalt war jedoch in Relation zum PCA-Gehalt und Proguanilgehalt in den Tabletten vernachlässigbar gering. Ein Einfluss auf die Massebilanz konnte folglich ausgeschlossen werden. Für eine Massebilanz entscheidend sind weiterhin Kenntnisse über alle Abbauprodukte. Im Fall von Proguanil lieferte die Literatur Hinweise auf bislang unidentifizierte Abbauprodukte, für welche Strukturvorschläge erarbeitet wurden. Im Hinblick auf die Genotoxizität des Hauptabbauproduktes PCA, wurden auch für die neu vorgeschlagenen Strukturen erste toxikologische Bewertungen mittels DEREK, MCASE und Vitic erstellt. Abschließend wurde die Anwesenheit von allen Abbauprodukten in künstlich gealterten Tabletten überprüft.
Mass spectrometry-based Proteome analysis of porcine cells infected with African swine fever virus
(2023)
ASFV, a highly contagious, pathogenic and lethal pathogen of swine, poses a major threat to domestic and wild suids worldwide as neither vaccines nor treatments are available. Compared to other well-characterized similarly complex viruses like herpesviruses or adenoviruses, the understanding of ASFV biology is poor.
To improve the understanding of ASFV biology, following the establishment of a robust protocol for the isolation of primary monocyte-derived porcine macrophages (moMΦ) and their infection with ASFV for mass spectrometry (MS)-based proteome analysis was performed.
Under both conditions, naïve and infected, the isolated cells showed cell type-specific characteristics like phagocytosis and antigen presentation and protein expression patterns, including the expression of swine leucocyte antigens and CD markers. Furthermore, moMΦ could be reproducibly infected with ASFV isolates of different genotypes and pathogenicity.
The ASFV protein expression patterns in moMΦ correlate well with those observed in established cell lines at transcript and protein level. The expression of 27 ASFV proteins was confirmed at the protein level. Among them, 9 members of multi-gene families (MGF) and 12 novel open reading frames (nORFs) were recently predicted based on transcription start site mapping.
The direct comparison of closely related ASFV genotype II isolates revealed no virulence-associated protein expression patterns beyond those expected based on the genome sequences of the isolates.
Using different MS quantification strategies, it was shown that ASFV affects both static protein expression levels and protein synthesis. These changes in protein expression impact proteins and pathways known to be targeted by ASFV, including CD-markers, ER-stress and cell death pathways, and cellular antiviral responses. Beyond these observations that further validated the moMΦ infection model, novel effects of the ASFV infection on the cellular proteome were noticed.
These effects include the decreased expression levels of cathepsins, especially cathepsins D (CTSD), H (CTSH) and L (CTSL) as well as the transient activation of MAPK14/p38 prior to its strong downregulation. In addition to MAPK14/p38 further members of the MAPK14/p38 signaling pathway, like MAPKAPK2, were affected by ASFV infection.
As these modulations of the cellular proteome would in general result in decreased pro-inflammatory responses, it did stand out that the synthesis of interferon-response related genes including MX1 and ISG15 evaded the ASFV-induced global reduction of protein synthesis. In contrast, the synthesis of genes involved in RNA processing and splicing was significantly impaired. In total, the regulations of individual host proteins assessed in the context of the whole cellular proteome integrate well with each other and other cellular responses to ASFV infection and may help to improve the understanding of host-virus interactions.
Overall, this thesis provides novel insights into the expression of ASFV-encoded ORFs of different isolates and the host response to ASFV infection. It points out that the current knowledge of the ASFV coding capacity, temporal protein expression patterns, protein functionality, post-translational modifications and host interactions is still sketchy as many aspects of ASFV replication have yet to be understood. The established moMΦ-model to study ASFV infections in vitro provides a powerful tool for future applications to increase the understanding of ASFV biology.
The triple-trap mass spectrometer ISOLTRAP at ISOLDE/CERN has demonstrated the feasibility of mass spectrometry of in-trap-decay product ions. This novel technique gives access to radionuclides, which are not produced directly at ISOL-type radioactive ion beam facilities. As a proof of principle, the in-trap decay of 37K+ has been investigated in a Penning trap filled with helium buffer gas. The half-life of the mother nuclide was confirmed and the recoiling 37Ar+ daughter ion was contained within the trap. The ions of either the mother or the daughter nuclide were transferred to a precision Penning trap, where their mass was determined.
Deciphering the entire protein complement of a living cell together with the elucidation of dynamic processes on protein level are the main goals of proteomics as it is used today. To achieve this goal, namely the elucidation of dynamic processes of the entire bacterial cell, we have developed strategies and distinct workflows to cover the most proteins in different subcellular localizations in bacteria together with a stable isotopes labeling approach to follow temporal and spatial changes in different proteomic subfractions. In this work, it has been shown that the use of mass spectrometry based in vivo quantitation techniques and the application of subcellular and chromatographic fractionation has lead to a new level of qualitative and quantitative proteomics data. Emphasizing on the studies revealing the dynamics of the bacterial physiology on a time resolved base, both spatial and temporal processes can be monitored to obtain knowledge on physiological processes in a depth that has not been reached before in comparable global studies.
Posttranslational modifications are involved in the regulation of virtually all cellular processes, including immune response, nevertheless, they are also targets manipulated by invading pathogens. The first investigated example is protein citrullination which is an important posttranslational modification that acts on a multitude of processes like supervision of cell pluripotency and rheumatoid arthritis. Citrullination of targeted arginine residues is performed by the Peptidylarginine deiminase. Within the first published manuscript, being part of this thesis, it was possible to show the use of this posttranslational modification by the human pathogen Porphyromonas gingivalis to facilitate innate immune evasion at three distinct level. P. gingivalis was demonstrated to citrullinate proteins by Porphyromonas peptidylarginine deiminase resulting in diminished phagocytosis and subsequent killing by neutrophils. Furthermore, it was shown that citrullination of histone H3 enables P. gingivalis to survive in neutrophil extracellular traps and incapacitate the lysozyme-derived peptide LP9.
The second investigated posttranslational modification is ubiquitination and its role in respiratory tract infections. Ubiquitination is the covalent attachment of a small protein that consisting of only 76 amino acids to the ε-amino group of lysine residues to posttranslational modify proteins. Acute infections of the lower respiratory tract such as viral and bacterial co-infections are among the most prevalent reasons of fatal casualties worldwide. Therefore, the interactions between host and pathogens resulting in the impairment of the hosts immune response and immune evasion of the pathogens, need to be elucidated. To get new insights in the infection driven changes in protein polyubiquitination and alterations in the abundance of ubiquitin E3 ligases involved in ubiquitination, cellular proteomes were monitored in detail by high resolution mass spectrometry. Therefore, the epithelial cell lines 16HBE14o- (Manuscript II) and A549 (Manuscript III) were co-infected with influenza A virus H1N1 and Streptococcus pyogenes or Staphylococcus aureus or with influenza A virus H1N1 and Streptococcus pneumoniae, respectively. Here, it could be shown in 16HBE14o- cells that co-infection of epithelial cells is not characterized by decreased cell survival and that observable effects on the proteome and ubiquitinome are mostly additive rather than synergistic. S. pyogenes infection affected the mitochondrial function, cell-cell adhesion, endocytosis and actin organization. Viral infection affected mRNA processing and Rho signaling. Viral and bacterial co-infection was detected to affect processes that were already affected by both of the corresponding single infections. No further pathways were strongly affected by the co-infection. A similar result has been observed in A549 cells co-infected IAV and S. pneumoniae. Overrepresented gene ontology terms depict the sum of those observed in the viral and bacterial single infection. Moreover, no significant change in cell survival upon co-infection compared to single bacterial infection was noticed for A549 cells either. This led to the suggestion that co-infection of investigated epithelial cells under examined conditions possesses additive rather than synergistic effect and thus, may not worsen the outcome of the infection within the studied conditions. Infections in other systems, may provide varying results and thus should be examined in future studies.
Emerging zoonotic viruses are a constant threat to human and animal health. Therefore, knowledge about the host factors influencing viral pathogenicity is highly welcome as a basis for developing treatment or vaccine strategies. In order to identify host factors that potentially determine the
pathogenicity of three highly pathogenic (’high consequence’) zoonotic viruses, the interactomes of
selected viral proteins were analysed in parallel with the interactomes of the homologous proteins from closely related viruses which lack high pathogenicity. For this purpose, affinity purification mass spectrometry (AP-MS) was performed with the virus proteins as baits and lists of candidate proteins were generated that may determine the pathotype and warrant follow-up studies to characterise their function concerning the viral life cycles. In detail, the interactomes of virus pairs from the arenaviruses, filoviruses and henipaviruses were studied. The following protein homologues were selected: for filoviruses, the transcription factor VP30, the co-transcription factor VP35 and matrix protein VP40 of the non-pathogenic Reston virus
(RESTV, species Reston ebolavirus), the pathogenic Ebola virus (EBOV, species Zaire ebolavirus),
and, in addition, the Lloviu virus (LLOV, species Lloviu cuevavirus); in case of the arenaviruses
the nucleoprotein (NP), matrix protein (Z) and glycoprotein (GP) of the pathogenic Junín virus (JUNV, species Argentine mammarenavirus) and the non-pathogenic Tacaribe virus (TCRV, species Tacaribe mammarenavirus); and for the henipaviruses, the fusion protein F of the apathogenic Cedar virus (CedV, species Cedar henipavirus) and the pathogenic Nipah virus (NiV, species Nipah henipavirus). The experimental approach was to express the tagged bait proteins in human cells by transfection with appropriate constructs, purify the interactomes by affinity enrichment and analyse their protein content by MS. Quantitation was performed by labelling with stable isotopes or by label-free quantification (LFQ). High-confidence interactions for the LFQ approach were identified using the Mass Spectrometry interaction STatistics (MiST) scoring tool. Qualitative and quantitative data were used to identify a limited number of candidates for follow-up research. Additionally,
the interactomes were analysed with bioinformatical tools like term enrichment analysis and network analysis to identify cellular pathways which are possibly impacted by the expression of viral proteins. A novel specific interactor of EBOV VP30 was identified, ubiquitin carboxyl-terminal hydrolase7
(USP7, also known as HAUSP), and the interaction was partially characterised. The interaction was confirmed by reverse-pull-down experiments, and the Kd value (determined by Microscale Thermophoresis, MST) was found to be lower than for the interaction of USP7 with the RESTV VP30.
This work adds insight into virus protein interactomes, especially for the often neglected low pathogenic virus species. Furthermore, the pathogenicity of the viruses was refl ected to some degree
in the interactomes of their proteins. The generated interactome data for the different virus species
create a basis in the search for interactions that determine pathogenicity.
The relevance of cold atmospheric plasmas (CAPs) in biomedicine has recently grown. The potential of CAPs has been discussed in multiple scientific works, highlighting its effectiveness in promoting wound healing, limiting cancer progression, and for sterilization of surfaces. Main bioactive molecules, such as reactive oxygen and nitrogen species (RONS), are proposed as key candidates in these processes. Indeed, the generation of cold plasma induces noble gas ionization which, reacting with atmospheric air molecules, generates species such as singlet oxygen, atomic oxygen radicals, nitric oxide radicals. Although molecular simulations have been conducted, the mechanism of action on biological molecules, as well as the possibility to tune plasmas to produce specific species cocktails (e.g., with different degree of oxidation power) has been not fully unleashed. In this dissertation, presented in form of 5 published scientific articles, focus has been placed on the interaction of plasmas with peptides and proteins, which are main biological effectors in cellular compartments. Precisely, through the development of liquid chromatography coupled mass spectrometry (LC-MS) methods, the effects of plasmas on peptides and proteins in form of oxidative post-translational modifications (oxPTMs) has been investigated. The characterization of these oxPTMs has been performed by treating peptide or protein aqueous solutions and on porcine skin tissues. It has been found that, introducing small amounts of different gases (oxygen, nitrogen, or both) or even water molecules, can made CAPs tunable tools to produce oxygen-species dominating effects versus nitrogen-species dominating effects. In addition to this, it was found that the amino acid position in a peptide or protein influences the quality and quantity of the resulting oxPTMs. Besides this, other important parameters like driven gases, admixture gases or treatment duration were identified as relevant factors for the modification of amino acids in the peptide structure. By comparing the effects between peptide solutions and complex matrices such as porcine skin, water has been identified as a valid vehicle to transport and amplify the plasma chemistry. In an experimental study, the inactivation of a protein (PLA2) was observed after CAP treatment and together with simulation studies, the specific dioxidation of tryptophane W128 was detected as a potential explanation for this inactivation, indicating the strong impact of plasma on biological targets. In summary, oxidative modifications found in peptide solutions were observed also in complex protein structures and sample matrices. In conclusion, this work provides a starting point for future studies of oxidative modifications in complex models and may thus be helpful for further investigations in the fields of plasma medicine and redox chemistry.
In the present work, mass determinations of the eleven neutron-deficient nuclides (99-109)Cd, of ten neutron-rich silver nuclides (112-114,121,123)Ag, and seven neutron-rich cadmium nuclides (114,120,122-124,126,128)Cd are reported. Due to the clean production of the neutron-deficient nuclides it was possible to reduce the experimental uncertainties down to 2 keV, whereas the measurements of neutron-rich nuclides were hampered by the presence of contaminations from more stable In and Cs nuclides. In the case of 99Cd and 123Ag the masses were determined for the first time and for the other nuclides the mass uncertainties could be reduced by up to a factor of 50 as in the case of 100Cd. In the case of a potential isomeric mixture as for (115,117,119)Ag and 123Cd, where no assignment to either the ground state or the excited state was possible, the experimental results were adjusted accordingly. Afterwards all results were included in the framework of the atomic-mass evaluation and thus linked and compared with other experimental data. In the case of the neutron-deficient Cd nuclides a conflict between the mass values obtained in the present work and those published by the JYFLTRAP group could be solved by performing an atomic-mass evaluation. These mass measurements are an important step towards an understanding of the physics of the rp process that will enable a more reliable determination of the composition of the produced material at A = 99. It has been shown that the mass of 99Cd strongly affects the A = 99 production in an X-ray burst model, and that uncertainties have been significantly reduced from more than an order of magnitude to about a factor of 3. The dominant source of uncertainty is now the mass of 100In. In principle, other uncertainties will also contribute. These include those of masses of lighter Cd isotopes, where similar rp-process branchpoints occur and which might affect feeding into the 99Cd branchpoint. In addition, nuclear reaction rate uncertainties will also play a role. However, as reaction rates affect branchings in a linear fashion, while mass differences enter exponentially, mass uncertainties will tend to dominate. Also, which reaction rates are important depends largely on nuclear masses. For example, for low Sp(100In) a (p,γ)-(γ,p) equilibrium will be established between 99Cd and 100In and the 100In(p,γ) reaction rate would affect the A = 99 production, while for larger Sp(100In) the 99Cd(p,γ) reaction rate might be more relevant. Therefore, the mass uncertainties should be addressed first. The presented results are relevant for any rp-process scenario with a reaction flow through the 99Cd region. Here, an X-ray burst model has been used to investigate in detail the impact of the present measurements on such an rp process. The νp process in core collapse supernovae might be another possible scenario for an rp process in the 99Cd region. It it is planed to also explore whether in that case mass uncertainties have a similar impact on the final composition. On the neutron-rich side of the valley of stability for the Cd and Ag chains of nuclides, the r process has not yet been reached. Further technical development on suppression of contaminants are required. This includes improvements on the ISOLDE side, e.g., by improving the selectivity of the transfer line or on the ISOLTRAP setup by implementing an electrostatic ion beam trap for a fast and efficient isobaric selection. Nevertheless the obtained results contribute to the knowledge of nuclear structure. The trends in the two-neutron separation-energy S2n and the interaction between the last neutrons and last protons ΔVpn were corrected to more smooth evolutions, as already seen in other regions of the nuclear chart. The strongest corrections have been observed for even-N nuclides, were more new experimental data are available. Thus, new measurements on odd-N nuclides are suggested. This also is underlined by the trends observed in the Garvey-Kelson relations for the neutron-rich Cd nuclides. Furthermore, it has been shown, that the prominent structure of the ΔVpn for an entire chain of nuclides including inflexion points can be reproduced by using simple relations between quantum numbers of the occupied orbits. This approach connects ten values for each nuclide with only one adjusted parameter. This has been investigated for 63 ΔVpn values of even-even nuclides in the vicinity of Z = 50 and 50 ≤ N ≤ 82. The simple model works remarkably well for the elements Cd, Sn, and Te. Small deviation have been observed for the Xe and Pd nuclides which were explained with the limitations of the model to the vicinity of the close shells, where the nuclides have only few valence protons and neutrons.
The recent developments in artificial intelligence have the potential to facilitate new research methods in ecology. Especially Deep Convolutional Neural Networks (DCNNs) have been shown to outperform other approaches in automatic image analyses. Here we apply a DCNN to facilitate quantitative wood anatomical (QWA) analyses, where the main challenges reside in the detection of a high number of cells, in the intrinsic variability of wood anatomical features, and in the sample quality. To properly classify and interpret features within the images, DCNNs need to undergo a training stage. We performed the training with images from transversal wood anatomical sections, together with manually created optimal outputs of the target cell areas. The target species included an example for the most common wood anatomical structures: four conifer species; a diffuse-porous species, black alder (Alnus glutinosa L.); a diffuse to semi-diffuse-porous species, European beech (Fagus sylvatica L.); and a ring-porous species, sessile oak (Quercus petraea Liebl.). The DCNN was created in Python with Pytorch, and relies on a Mask-RCNN architecture. The developed algorithm detects and segments cells, and provides information on the measurement accuracy. To evaluate the performance of this tool we compared our Mask-RCNN outputs with U-Net, a model architecture employed in a similar study, and with ROXAS, a program based on traditional image analysis techniques. First, we evaluated how many target cells were correctly recognized. Next, we assessed the cell measurement accuracy by evaluating the number of pixels that were correctly assigned to each target cell. Overall, the “learning process” defining artificial intelligence plays a key role in overcoming the issues that are usually manually solved in QWA analyses. Mask-RCNN is the model that better detects which are the features characterizing a target cell when these issues occur. In general, U-Net did not attain the other algorithms’ performance, while ROXAS performed best for conifers, and Mask-RCNN showed the highest accuracy in detecting target cells and segmenting lumen areas of angiosperms. Our research demonstrates that future software tools for QWA analyses would greatly benefit from using DCNNs, saving time during the analysis phase, and providing a flexible approach that allows model retraining.
Abstract
Macroalgae species are fast growing and their polysaccharides are already used as food ingredient due to their properties as hydrocolloids or they have potential high value bioactivity. The degradation of these valuable polysaccharides to access the sugar components has remained mostly unexplored so far. One reason is the high structural complexity of algal polysaccharides, but also the need for suitable enzyme cocktails to obtain oligo‐ and monosaccharides. Among them, there are several rare sugars with high value. Recently, considerable progress was made in the discovery of highly specific carbohydrate‐active enzymes able to decompose complex marine carbohydrates such as carrageenan, laminarin, agar, porphyran and ulvan. This minireview summarizes these achievements and highlights potential applications of the now accessible abundant renewable resource of marine polysaccharides.
Rich knowledge about global nutrient cycles and functional interactions can be gained from the perspective of complex microbial proteomes. In this thesis, the application of environmental proteomics allowed for a direct in situ analysis of habitat-specific proteomes expressed by respective microbial communities from two different marine ecosystems. In the first part of this thesis, unculturable symbiont populations from tubeworms that colonize hydrothermal vents of the Pacific deep sea became accessible by use of community proteomics. This branch of environmental proteomics is generally employed to ascertain simple microbial assemblages derived from in situ samples. The proteome study was aimed at analyzing adaptations of seemingly monospecific symbionts to different hosts, the tubeworms Tevnia jerichonana und Riftia pachyptila. A comparison of the newly sequenced genomes of symbiont populations from both hosts confirmed that both symbioses involve the same bacterial species. Also the proteome analysis by 2D-PAGE showed a high physiological homogeneity for symbionts from both worm species, although the hosts are exposed to different geochemical conditions. Thus, the hosts provide their symbionts with a relatively stable internal environment by attenuation of external influences. Only minor variations in the symbionts proteomes reflected the differential environmental conditions outside the worms. Hence, the symbionts were able to fine-tune major metabolic pathways and oxidative stress in response to only minor chemical changes within their hosts. Moreover, new components of important physiological processes of the bacterial symbionts, like the sulfide oxidation and carbon fixation, were identified by in-depth proteomics of the Riftia symbiosis model system. The in situ protein samples showed as well that, in contrast to an earlier hypothesis, nitrate is used as an alternative electron acceptor. In the second part of this thesis, another branch of environmental proteomics called metaproteomics was applied to investigate the response of a bacterioplankton community to a spring phytoplankton bloom in the North Sea. Recurrent plankton blooms are a common phenomen of coastal areas, which however has only been investigated with limited resolution in biodiversity. Based on large-scale proteomic data sets it was found that specialized populations of Bacteroidetes, Gammaproteobacteria and Alphaproteobacteria exhibited differential protein expression patterns. These involved oligomer transporters, glycoside hydrolases and phosphate acquisition proteins. A successive utilization of algal organic matter by microbes indicated a series of ecological niches occupied by the heterotrophic picoplankton. Key proteins, identified by metaproteomics, were further investigated by studying a model bacterium to define their specificities regarding the utilization of algal glycans. By isotope labeling of proteins, quantitative proteomics of the North Sea isolate Gramella forsetii KT0803, a Bacteroidetes representative could be conducted. The adaptation to the algal polysaccharides alginate and laminarin in comparison with glucose was analyzed. G. forsetii proved to be a specialist for the chosen algal polymers, in particular for glucans like laminarin. Primarily comprehensive clusters, the so-called polysaccharide utilization loci (PULs) were activated. The results of this model study complemented the basic concepts obtained by the metaproteomic approach about carbon cycling in coastal systems. The accessibility of numerous unculturable marine microbes by environmental proteomics allows to improve our understanding of interactions that drive symbioses or complex communities. Adaptations to environmental parameters, such as the abundance of substrates, can be analyzed and associated with respective populations. Thus statements can be made for functional groups of microorganisms, their ability for the creation of niches and their flexibility to respond to varying environmental impacts. The increasing number of marine model bacteria enables targeted analysis of specificities and adaptations and hence to support the environmental proteomics approach.
The polysaccharide β-mannan, which is common in terrestrial plants but unknown in microalgae, was recently detected during diatom blooms. We identified a β-mannan polysaccharide utilization locus (PUL) in the genome of the marine flavobacterium Muricauda sp. MAR_2010_75. Proteomics showed β-mannan induced translation of 22 proteins encoded within the PUL. Biochemical and structural analyses deduced the enzymatic cascade for β-mannan utilization. A conserved GH26 β-mannanase with endo-activity depolymerized the β-mannan. Consistent with the biochemistry, X-ray crystallography showed the typical TIM-barrel fold of related enzymes found in terrestrial β-mannan degraders. Structural and biochemical analyses of a second GH26 allowed the prediction of an exo-activity on shorter manno-gluco oligosaccharides. Further analysis demonstrated exo-α-1,6-galactosidase- and endo-β-1,4-glucanase activity of the PUL-encoded GH27 and GH5_26, respectively, indicating the target substrate is a galactoglucomannan. Epitope deletion assays with mannanases as analytic tools indicate the presence of β-mannan in the diatoms Coscinodiscus wailesii and Chaetoceros affinis. Mannanases from the PUL were active on diatom β-mannan and polysaccharide extracts sampled during a microalgal bloom at the North Sea. Together these results demonstrate that marine microorganisms use a conserved enzymatic cascade to degrade β-mannans of marine and terrestrial origin and that this metabolic pathway plays a role in marine carbon cycling.