TY - GEN A1 - Witzel, Katja A1 - Neugart, Susanne A1 - Ruppel, Silke A1 - Schreiner, Monika A1 - Wiesner, Melanie A1 - Baldermann, Susanne T1 - Recent progress in the use of ‘omics technologies in brassicaceous vegetables T2 - Frontiers in plant science N2 - Continuing advances in 'omics methodologies and instrumentation is enhancing the understanding of how plants cope with the dynamic nature of their growing environment. 'Omics platforms have been only recently extended to cover horticultural crop species. Many of the most widely cultivated vegetable crops belong to the genus Brassica: these include plants grown for their root (turnip, rutabaga/swede), their swollen stem base (kohlrabi), their leaves (cabbage, kale, pak choi) and their inflorescence (cauliflower, broccoli). Characterization at the genome, transcript, protein and metabolite levels has illustrated the complexity of the cellular response to a whole series of environmental stresses, including nutrient deficiency, pathogen attack, heavy metal toxicity, cold acclimation, and excessive and sub optimal irradiation. This review covers recent applications of omics technologies to the brassicaceous vegetables, and discusses future scenarios in achieving improvements in crop end-use quality. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 429 KW - genomics KW - transcriptomics KW - metabolomics KW - proteomics KW - crop KW - microbiomics Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-406479 ER - TY - JOUR A1 - Witzel, Katja A1 - Neugart, Susanne A1 - Ruppel, Silke A1 - Schreiner, Monika A1 - Wiesner, Melanie A1 - Baldermann, Susanne T1 - Recent progress in the use of 'omics technologies in brassicaceous vegetables JF - Frontiers in plant science N2 - Continuing advances in 'omics methodologies and instrumentation is enhancing the understanding of how plants cope with the dynamic nature of their growing environment. 'Omics platforms have been only recently extended to cover horticultural crop species. Many of the most widely cultivated vegetable crops belong to the genus Brassica: these include plants grown for their root (turnip, rutabaga/swede), their swollen stem base (kohlrabi), their leaves (cabbage, kale, pak choi) and their inflorescence (cauliflower, broccoli). Characterization at the genome, transcript, protein and metabolite levels has illustrated the complexity of the cellular response to a whole series of environmental stresses, including nutrient deficiency, pathogen attack, heavy metal toxicity, cold acclimation, and excessive and sub optimal irradiation. This review covers recent applications of omics technologies to the brassicaceous vegetables, and discusses future scenarios in achieving improvements in crop end-use quality. KW - genomics KW - transcriptomics KW - metabolomics KW - proteomics KW - crop KW - microbiomics Y1 - 2015 U6 - https://doi.org/10.3389/fpls.2015.00244 SN - 1664-462X VL - 6 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Christopher Ashwood, Wout Bittremieux A1 - Bittremieux, Wout A1 - Deutsch, Eric W. A1 - Doncheva, Nadezhda T. A1 - Dorfer, Viktoria A1 - Gabriels, Ralf A1 - Gorshkov, Vladimir A1 - Gupta, Surya A1 - Jones, Andrew R. A1 - Käll, Lukas A1 - Kopczynski, Dominik A1 - Lane, Lydie A1 - Lautenbacher, Ludwig A1 - Legeay, Marc A1 - Locard-Paulet, Marie A1 - Mesuere, Bart A1 - Sachsenberg, Timo A1 - Salz, Renee A1 - Samaras, Patroklos A1 - Schiebenhoefer, Henning A1 - Schmidt, Tobias A1 - Schwämmle, Veit A1 - Soggiu, Alessio A1 - Uszkoreit, Julian A1 - Van Den Bossche, Tim A1 - Van Puyvelde, Bart A1 - Van Strien, Joeri A1 - Verschaffelt, Pieter A1 - Webel, Henry A1 - Willems, Sander A1 - Perez-Riverolab, Yasset A1 - Netz, Eugen A1 - Pfeuffer, Julianus T1 - Proceedings of the EuBIC-MS 2020 Developers’ Meeting JF - EuPA Open Proteomics N2 - The 2020 European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) Developers’ meeting was held from January 13th to January 17th 2020 in Nyborg, Denmark. Among the participants were scientists as well as developers working in the field of computational mass spectrometry (MS) and proteomics. The 4-day program was split between introductory keynote lectures and parallel hackathon sessions. During the latter, the participants developed bioinformatics tools and resources addressing outstanding needs in the community. The hackathons allowed less experienced participants to learn from more advanced computational MS experts, and to actively contribute to highly relevant research projects. We successfully produced several new tools that will be useful to the proteomics community by improving data analysis as well as facilitating future research. All keynote recordings are available on https://doi.org/10.5281/zenodo.3890181. KW - computational mass spectrometry KW - proteomics KW - bioinformatics KW - spectrum clustering KW - phosphoproteomics KW - XIC extraction KW - proteomics graph networks KW - predicted spectra Y1 - 2020 U6 - https://doi.org/10.1016/j.euprot.2020.11.001 SN - 2212-9685 VL - 24 SP - 1 EP - 6 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Omolaoye, Temidayo S. A1 - Omolaoye, Victor Adelakun A1 - Kandasamy, Richard K. A1 - Hachim, Mahmood Yaseen A1 - Du Plessis, Stefan S. T1 - Omics and male infertility BT - highlighting the application of transcriptomic data JF - Life : open access journal N2 - Male infertility is a multifaceted disorder affecting approximately 50% of male partners in infertile couples. Over the years, male infertility has been diagnosed mainly through semen analysis, hormone evaluations, medical records and physical examinations, which of course are fundamental, but yet inefficient, because 30% of male infertility cases remain idiopathic. This dilemmatic status of the unknown needs to be addressed with more sophisticated and result-driven technologies and/or techniques. Genetic alterations have been linked with male infertility, thereby unveiling the practicality of investigating this disorder from the "omics" perspective. Omics aims at analyzing the structure and functions of a whole constituent of a given biological function at different levels, including the molecular gene level (genomics), transcript level (transcriptomics), protein level (proteomics) and metabolites level (metabolomics). In the current study, an overview of the four branches of omics and their roles in male infertility are briefly discussed; the potential usefulness of assessing transcriptomic data to understand this pathology is also elucidated. After assessing the publicly obtainable transcriptomic data for datasets on male infertility, a total of 1385 datasets were retrieved, of which 10 datasets met the inclusion criteria and were used for further analysis. These datasets were classified into groups according to the disease or cause of male infertility. The groups include non-obstructive azoospermia (NOA), obstructive azoospermia (OA), non-obstructive and obstructive azoospermia (NOA and OA), spermatogenic dysfunction, sperm dysfunction, and Y chromosome microdeletion. Findings revealed that 8 genes (LDHC, PDHA2, TNP1, TNP2, ODF1, ODF2, SPINK2, PCDHB3) were commonly differentially expressed between all disease groups. Likewise, 56 genes were common between NOA versus NOA and OA (ADAD1, BANF2, BCL2L14, C12orf50, C20orf173, C22orf23, C6orf99, C9orf131, C9orf24, CABS1, CAPZA3, CCDC187, CCDC54, CDKN3, CEP170, CFAP206, CRISP2, CT83, CXorf65, FAM209A, FAM71F1, FAM81B, GALNTL5, GTSF1, H1FNT, HEMGN, HMGB4, KIF2B, LDHC, LOC441601, LYZL2, ODF1, ODF2, PCDHB3, PDHA2, PGK2, PIH1D2, PLCZ1, PROCA1, RIMBP3, ROPN1L, SHCBP1L, SMCP, SPATA16, SPATA19, SPINK2, TEX33, TKTL2, TMCO2, TMCO5A, TNP1, TNP2, TSPAN16, TSSK1B, TTLL2, UBQLN3). These genes, particularly the above-mentioned 8 genes, are involved in diverse biological processes such as germ cell development, spermatid development, spermatid differentiation, regulation of proteolysis, spermatogenesis and metabolic processes. Owing to the stage-specific expression of these genes, any mal-expression can ultimately lead to male infertility. Therefore, currently available data on all branches of omics relating to male fertility can be used to identify biomarkers for diagnosing male infertility, which can potentially help in unravelling some idiopathic cases. KW - male infertility KW - omics KW - genomics KW - transcriptomics KW - proteomics KW - metabolomics Y1 - 2022 U6 - https://doi.org/10.3390/life12020280 SN - 2075-1729 VL - 12 IS - 2 PB - MDPI CY - Basel ER - TY - JOUR A1 - Wagner, Nicole D. A1 - Hillebrand, Helmut A1 - Wacker, Alexander A1 - Frost, Paul C. T1 - Nutritional indicators and their uses in ecology JF - Ecology letters N2 - The nutrition of animal consumers is an important regulator of ecological processes due to its effects on their physiology, life-history and behaviour. Understanding the ecological effects of poor nutrition depends on correctly diagnosing the nature and strength of nutritional limitation. Despite the need to assess nutritional limitation, current approaches to delineating nutritional constraints can be non-specific and imprecise. Here, we consider the need and potential to develop new complementary approaches to the study of nutritional constraints on animal consumers by studying and using a suite of established and emerging biochemical and molecular responses. These nutritional indicators include gene expression, transcript regulators, protein profiling and activity, and gross biochemical and elemental composition. The potential applications of nutritional indicators to ecological studies are highlighted to demonstrate the value that this approach would have to future studies in community and ecosystem ecology. KW - Ecological stoichiometry KW - lipid profiling KW - metabolism KW - nutrient-stress KW - nutrition KW - proteomics KW - transcriptomics Y1 - 2013 U6 - https://doi.org/10.1111/ele.12067 SN - 1461-023X VL - 16 IS - 4 SP - 535 EP - 544 PB - Wiley-Blackwell CY - Hoboken ER - TY - THES A1 - Schumann, Sara T1 - Influence of intestinal inflammation on bacterial protein expression in monoassociated mice T1 - Der Einfluss chronisch-entzündlicher Darmerkrankungen auf die Proteinexpression intestinaler E. coli N2 - Background: Increased numbers of intestinal E. coli are observed in inflammatory bowel disease, but the reasons for this proliferation and it exact role in intestinal inflammation are unknown. Aim of this PhD-project was to identify E. coli proteins involved in E. coli’s adaptation to the inflammatory conditions in the gut and to investigate whether these factors affect the host. Furthermore, the molecular basis for strain-specific differences between probiotic and harmful E. coli in their response to intestinal inflammation was investigated. Methods: Using mice monoassociated either with the adherent-invasive E. coli (AIEC) strain UNC or the probiotic E. coli Nissle, two different mouse models of intestinal inflammation were analysed: On the one hand, severe inflammation was induced by treating mice with 3.5% dextran sodium sulphate (DSS). On the other hand, a very mild intestinal inflammation was generated by associating interleukin 10-deficient (IL-10-/-) mice with E. coli. Differentially expressed proteins in the E. coli strains collected from caecal contents of these mice were identified by two-dimensional fluorescence difference gel electrophoresis. Results DSS-experiment: All DSS-treated mice revealed signs of a moderate caecal and a severe colonic inflammation. However, mice monoassociated with E. coli Nissle were less affected. In both E. coli strains, acute inflammation led to a downregulation of pathways involved in carbohydrate breakdown and energy generation. Accordingly, DSS-treated mice had lower caecal concentrations of bacterial fermentation products than the control mice. Differentially expressed proteins also included the Fe-S cluster repair protein NfuA, the tryptophanase TnaA, and the uncharacterised protein YggE. NfuA was upregulated nearly 3-fold in both E. coli strains after DSS administration. Reactive oxygen species produced during intestinal inflammation damage Fe-S clusters and thereby lead to an inactivation of Fe-S proteins. In vitro data indicated that the repair of Fe-S proteins by NfuA is a central mechanism in E. coli to survive oxidative stress. Expression of YggE, which has been reported to reduce the intracellular level of reactive oxygen species, was 4- to 8-fold higher in E. coli Nissle than in E. coli UNC under control and inflammatory conditions. In vitro growth experiments confirmed these results, indicating that E. coli Nissle is better equipped to cope with oxidative stress than E. coli UNC. Additionally, E. coli Nissle isolated from DSS-treated and control mice had TnaA levels 4- to 7-fold higher than E. coli UNC. In turn, caecal indole concentrations resulting from cleavage of tryptophan by TnaA were higher in E. coli Nissle- associated control mice than in the respective mice associated with E. coli UNC. Because of its anti-inflammatory effect, indole is hypothesised to be involved in the extension of the remission phase in ulcerative colitis described for E. coli Nissle. Results IL-10-/--experiment: Only IL-10-/- mice monoassociated with E. coli UNC for 8 weeks exhibited signs of a very mild caecal inflammation. In agreement with this weak inflammation, the variations in the bacterial proteome were small. Similar to the DSS-experiment, proteins downregulated by inflammation belong mainly to the central energy metabolism. In contrast to the DSS-experiment, no upregulation of chaperone proteins and NfuA were observed, indicating that these are strategies to overcome adverse effects of strong intestinal inflammation. The inhibitor of vertebrate C-type lysozyme, Ivy, was 2- to 3-fold upregulated on mRNA and protein level in E. coli Nissle in comparison to E. coli UNC isolated from IL-10-/- mice. By overexpressing ivy, it was demonstrated in vitro that Ivy contributes to a higher lysozyme resistance observed for E. coli Nissle, supporting the role of Ivy as a potential fitness factor in this E. coli strain. Conclusions: The results of this PhD-study demonstrate that intestinal bacteria sense even minimal changes in the health status of the host. While some bacterial adaptations to the inflammatory conditions are equal in response to strong and mild intestinal inflammation, other reactions are unique to a specific disease state. In addition, probiotic and colitogenic E. coli differ in their response to the intestinal inflammation and thereby may influence the host in different ways. N2 - Hintergrund: Chronisch entzündliche Darmerkrankungen zeichnen sich unter anderem durch eine starke Proliferation intestinaler E. coli aus. Unbekannt ist jedoch, ob diese Vermehrung eine Ursache oder eine Folge der Erkrankung darstellt. Ziel der vorliegenden Doktorarbeit war es daher, E. coli-Proteine zu identifizieren, welche der Anpassung an die entzündlichen Bedingungen im Darmtrakt dienen und unter Umständen einen Effekt auf den Gesundheitszustand des Wirtes haben. Weiterhin sollten die molekularen Ursachen für stammesspezifische Unterschiede zwischen probiotischen und gesundheitsschädlichen E. coli näher untersucht werden. Methoden: In den tierexperimentellen Analysen wurden keimfreie Mäuse entweder mit dem probiotischen E. coli Nissle oder dem adhärent-invasiven E. coli UNC monoassoziiert und in zwei verschiedenen Entzündungsmodellen näher untersucht. Einerseits wurde eine starke Darmentzündung durch die Gabe von 3,5% Natrium-Dextransulfat (DSS) ausgelöst. Andererseits wurde in Interleukin 10-defizienten (IL-10-/-) Mäusen eine sehr milde Form der Entzündung durch Besiedlung mit E. coli induziert. Die E. coli Bakterien wurden am Ende der Versuche aus den Caecuminhalten der Mäuse isoliert und die bakterielle Proteinexpression wurde mittels zwei-dimensionaler Gelelektrophorese analysiert. Ergebnisse des DSS-Versuchs: Alle Tiere des DSS-Versuchs entwickelten unabhängig vom E. coli Stamm, mit dem sie besiedelt waren, eine moderate Entzündung im Caecum und eine starke im Colon, wobei die Entzündungsreaktion durch die Monoassoziation mit E. coli Nissle leicht abgeschwächt wurde. In beiden E. coli Stämmen führte die Darmentzündung zu einer verringerten Expression von Enzymen des Kohlenhydratabbaus und der Energiegewinnung. In Folge dessen waren die intestinalen Konzentrationen bakterieller Fermentationsprodukte in den entzündeten Tieren geringer als in den gesunden Kontrolltieren. Weitere differentiell exprimierte Proteine umfassen das Fe-S- Cluster Reparaturprotein NfuA, die Tryptophanase TnaA und das uncharakterisierte Protein YggE. In beiden E. coli Stämmen, welche aus den DSS-Tieren isoliert wurden, war das NfuA Protein dreifach höher exprimiert. Eine Darmentzündung führt zu einer vermehrten Bildung reaktiver Sauerstoffspezies, welche die Fe-S-Cluster in Eisen-Schwefel-Proteinen zerstören und damit zu einer Inaktivierung dieser Proteine führen. In vitro Untersuchungen bestätigten, dass die Reparatur der Eisen-Schwefel-Proteine durch NfuA ein wichtiger Mechanismus ist um oxidativem Stress entgegenzuwirken. Das YggE Protein, welches laut Literaturangaben einen hemmenden Einfluss auf die Bildung reaktiver Sauerstoffspezies hat, war in E. coli Nissle 4- bis 8-fach erhöht (verglichen mit E. coli UNC unter Kontroll- und Entzündungsbedingungen). In vitro Versuche bestätigten diese Daten und zeigten, dass E. coli Nissle im Vergleich zu E. coli UNC eine erhöhte Resistenz gegenüber oxidativem Stress aufweist. Außerdem wurde im Vergleich E. coli Nissle vs. E. coli UNC (unter Entzündungs- und Kontrollbedingungen) ein 4- bis 7-fach erhöhter TnaA-Gehalt nachgewiesen. Indol, das Produkt der TnaA-katalysierten Tryptophanspaltung wurde in erhöhten Mengen im Intestinaltrakt E. coli Nissle-assoziierter Kontrolltiere detektiert. Seit längerem werden entzündungshemmende Eigenschaften für Indol postuliert, die aufgrund der Ergebnisse dieser Doktorarbeit nun auch mit den gesundheitsfördenden Eigenschaften von E. coli Nissle in Zusammenhang gebracht werden können. Ergebnisse des IL-10-/-- Versuchs: Nach einer 8-wöchigen Assoziationsdauer wurde nur in den mit E. coli UNC besiedelten IL-10-/- Tieren eine schwache Entzündungsreaktion nachgewiesen. Bedingt durch diese sehr schwach ausgeprägte Entzündungsantwort waren auch die Veränderungen im bakteriellen Proteom von E. coli UNC nur gering. Wie im DSS-Versuch waren Proteine des bakteriellen Energiestoffwechsels reprimiert, allerdings wurde keine Induktion von NfuA beobachtet. Daher scheint die Induktion von NfuA nur der Anpassung an eine starke Entzündung zu dienen. Weiterhin wurde nachgewiesen, dass E. coli Nissle aus IL-10-/- Tieren den Hemmer für das vertebrate C-Typ Lysozym (Ivy) sowohl auf mRNA- als auch auf Proteinebene stärker exprimiert als E. coli UNC. Überexpression von Ivy unter in vitro Bedingungen zeigte, dass es an der erhöhten Lysozymresistenz von E. coli Nissle beteiligt ist und somit eine Rolle als möglicher Fitnessfaktor von E. coli Nissle spielt. Schlussfolgerungen: In dieser Doktorarbeit wurde gezeigt, dass Darmentzündungen die Proteinexpression eines im Darm lebenden Bakteriums beeinflussen. Einige der aufgedeckten bakteriellen Anpassungsreaktionen werden sowohl bei einer starken als auch bei einer schwachen Entzündung ausgelöst; andere wiederum sind spezifisch für nur einen dieser Entzündungszustände. Weiterhin wurde deutlich, dass sich E. coli-Stämme hinsichtlich ihrer Reaktion auf eine Darmentzündung unterscheiden und damit möglicherweise den Wirt beeinflussen.  KW - E. coli KW - chronisch-entzündliche Darmerkrankungen KW - Proteom KW - Ivy KW - Probiotika KW - E. coli KW - inflammatory bowel disease KW - proteomics KW - Ivy KW - probiotics Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-67757 ER - TY - THES A1 - Schlossarek, Dennis T1 - Identification of dynamic protein-metabolite complexes in saccharomyces cerevisiae using co-fractionation mass spectrometry T1 - Identifikation von dynamischen Protein-Metabolit Komplexes in Saccharomyces cerevisiae unter Nutzung der Co-Fraktionierungs Massenspektrometrie N2 - Cells are built from a variety of macromolecules and metabolites. Both, the proteome and the metabolome are highly dynamic and responsive to environmental cues and developmental processes. But it is not their bare numbers, but their interactions that enable life. The protein-protein (PPI) and protein-metabolite interactions (PMI) facilitate and regulate all aspects of cell biology, from metabolism to mitosis. Therefore, the study of PPIs and PMIs and their dynamics in a cell-wide context is of great scientific interest. In this dissertation, I aim to chart a map of the dynamic PPIs and PMIs across metabolic and cellular transitions. As a model system, I study the shift from the fermentative to the respiratory growth, known as the diauxic shift, in the budding yeast Saccharomyces cerevisiae. To do so, I am applying a co-fractionation mass spectrometry (CF-MS) based method, dubbed protein metabolite interactions using size separation (PROMIS). PROMIS, as well as comparable methods, will be discussed in detail in chapter 1. Since PROMIS was developed originally for Arabidopsis thaliana, in chapter 2, I will describe the adaptation of PROMIS to S. cerevisiae. Here, the obtained results demonstrated a wealth of protein-metabolite interactions, and experimentally validated 225 previously predicted PMIs. Applying orthogonal, targeted approaches to validate the interactions of a proteogenic dipeptide, Ser-Leu, five novel protein-interactors were found. One of those proteins, phosphoglycerate kinase, is inhibited by Ser-Leu, placing the dipeptide at the regulation of glycolysis. In chapter 3, I am presenting PROMISed, a novel web-tool designed for the analysis of PROMIS- and other CF-MS-datasets. Starting with raw fractionation profiles, PROMISed enables data pre-processing, profile deconvolution, scores differences in fractionation profiles between experimental conditions, and ultimately charts interaction networks. PROMISed comes with a user-friendly graphic interface, and thus enables the routine analysis of CF-MS data by non-computational biologists. Finally, in chapter 4, I applied PROMIS in combination with the isothermal shift assay to the diauxic shift in S. cerevisiae to study changes in the PPI and PMI landscape across this metabolic transition. I found a major rewiring of protein-protein-metabolite complexes, exemplified by the disassembly of the proteasome in the respiratory phase, the loss of interaction of an enzyme involved in amino acid biosynthesis and its cofactor, as well as phase and structure specific interactions between dipeptides and enzymes of central carbon metabolism. In chapter 5, I am summarizing the presented results, and discuss a strategy to unravel the potential patterns of dipeptide accumulation and binding specificities. Lastly, I recapitulate recently postulated guidelines for CF-MS experiments, and give an outlook of protein interaction studies in the near future. N2 - Die Zelle besteht aus einer Vielzahl von großen und kleinen Molekülen, und sowohl das Proteom als auch das Metabolom passen sich dynamisch den vorherrschenden Umweltbedingungen oder zellulären Anforderungen an. Allerdings ist es nicht die bloße Menge an biologischen Molekülen, sondern deren Interaktionen miteinander, die das Leben erst ermöglichen. Protein-Protein (PPI) und Protein-Metabolit Interaktionen (PMI) vollbringen und regulieren alle Aspekte der Zelle, vom Stoffwechsel bis zur Mitose. Die Studie dieser Interaktionen ist daher von fundamentalem wissenschaftlichem Interesse. In dieser Dissertation strebe ich an, eine Karte der Protein-Protein und Protein-Metabolit Interaktionen zu zeichnen, die den Übergang vom fermentativen zum respiratioschen Stoffwechsel in der Hefe Saccharomyces cerevisiae umfasst. Zu diesem Zweck nutze ich PROMIS (egl. protein metabolite interactions using size separation), eine auf der co-Fraktionierungs Massensprektrometrie (CF-MS) aufbauende Methode. PROMIS, und ähnliche Methoden zur Untersuchung von Protein-Interkationen, werden ausgiebig in Kapitel 1 vorgestellt. Da PROMIS ursprünglich für die Modellpflanze Arabadopsis thaliana entwickelt wurde, beschreibe ich in Kapitel 2 zunächst die erste Anwendung der Methode in S. cerevisiae. Die Ergebnisse stellen eine Fülle an Protein-Metabolit Interaktionen dar, und 225 zuvor prognostizierte Interaktionen wurden das erste Mal experimentell beschrieben. Mit Hilfe orthogonaler Methoden wurde außerdem eine inhibitorische Interaktion zwischen dem proteinogenen Dipeptid Ser-Leu und einem Enzym der Glykolyse gefunden. In Kapitel 3 präsentiere ich PROMISed, eine neue Web-Anwendung zur Auswertung von Daten von PROMIS oder anderen CF-MS Experimente. PROMISed kann genutzt werden um in rohen Fraktionierungs-Profile lokale Maxima zu finden, aus denen ein Interaktions-Netzwerk basierend auf Korrelationen erstellt wird. Außerdem kann die Anwendung Unterschiede in den Profilen zwischen verschiedenen experimentellen Bedingungen bewerten. PROMISed umfasst eine benutzerfreundliche grafische Oberfläche und bedarf daher keiner Programmierkenntnisse zur Nutzung. In Kapitel 4 benutze ich schließlich PROMIS und ItSA (engl. isothermal shift assay) um PPI und PMI während des Übergangs vom fermentativen zum respiratorischen Stoffwechsel in Hefe zu untersuchen. Hier beschreibe ich eine zellweite Umbildung der Protein-Metabolit-Komplexe, bespielhaft beschrieben anhand des Auseinanderfallens des Proteasoms im respiratorischen Stoffwechsel, des Verlustes der Interaktion zwischen einem Enzym des Aminosäure Stoffwechsels mit seinem Cofaktor und spezifischen Interaktionen zwischen Dipeptiden und Enzymen des zentralen Stoffwechsels. In Kapitel 5 fasse ich die gefundenen Ergebnisse zusammen und stelle eine Strategie zur Untersuchung der Spezifität sowohl der Bildung als auch der Protein-Interaktionen von Dipeptiden vor. Zu aller letzt rekapituliere ich Richtlinien für CF-MS Experimente und gebe einen Ausblick auf die nahe Zukunft der Studien der Protein-Interkationen. KW - Protein KW - Metabolit KW - Interaktion KW - Interaktions Netzwerk KW - Stoffwechsel KW - Saccharomyces cerevisiae KW - protein KW - metabolite KW - interaction KW - interaction network KW - metabolism KW - saccharomyces cerevisiae KW - interactomics KW - proteomics KW - metabolomics Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-582826 ER - TY - JOUR A1 - Kraus, Sara Milena A1 - Mathew-Stephen, Mariet A1 - Schapranow, Matthieu-Patrick T1 - Eatomics BT - Shiny exploration of quantitative proteomics data JF - Journal of proteome research N2 - Quantitative proteomics data are becoming increasingly more available, and as a consequence are being analyzed and interpreted by a larger group of users. However, many of these users have less programming experience. Furthermore, experimental designs and setups are getting more complicated, especially when tissue biopsies are analyzed. Luckily, the proteomics community has already established some best practices on how to conduct quality control, differential abundance analysis and enrichment analysis. However, an easy-to-use application that wraps together all steps for the exploration and flexible analysis of quantitative proteomics data is not yet available. For Eatomics, we utilize the R Shiny framework to implement carefully chosen parts of established analysis workflows to (i) make them accessible in a user-friendly way, (ii) add a multitude of interactive exploration possibilities, and (iii) develop a unique experimental design setup module, which interactively translates a given research hypothesis into a differential abundance and enrichment analysis formula. In this, we aim to fulfill the needs of a growing group of inexperienced quantitative proteomics data analysts. Eatomics may be tested with demo data directly online via https://we.analyzegenomes.com/now/eatomics/or with the user's own data by installation from the Github repository at https://github.com/Millchmaedchen/Eatomics. KW - R Shiny KW - application KW - label-free KW - proteomics KW - analysis KW - differential KW - abundance KW - experimental design Y1 - 2021 U6 - https://doi.org/10.1021/acs.jproteome.0c00398 SN - 1535-3893 SN - 1535-3907 VL - 20 IS - 1 SP - 1070 EP - 1078 PB - American Chemical Society CY - Washington ER - TY - JOUR A1 - Winck, Flavia Vischi A1 - Kwasniewski, Miroslaw A1 - Wienkoop, Stefanie A1 - Müller-Röber, Bernd T1 - An optimized method for the isolation of nuclei from chlamydomas Reinhardtii (Chlorophyceae) JF - Journal of phycology N2 - The cell nucleus harbors a large number of proteins involved in transcription, RNA processing, chromatin remodeling, nuclear signaling, and ribosome assembly. The nuclear genome of the model alga Chlamydomonas reinhardtii P. A. Dang. was recently sequenced, and many genes encoding nuclear proteins, including transcription factors and transcription regulators, have been identified through computational discovery tools. However, elucidating the specific biological roles of nuclear proteins will require support from biochemical and proteomics data. Cellular preparations with enriched nuclei are important to assist in such analyses. Here, we describe a simple protocol for the isolation of nuclei from Chlamydomonas, based on a commercially available kit. The modifications done in the original protocol mainly include alterations of the differential centrifugation parameters and detergent-based cell lysis. The nuclei-enriched fractions obtained with the optimized protocol show low contamination with mitochondrial and plastid proteins. The protocol can be concluded within only 3 h, and the proteins extracted can be used for gel-based and non-gel-based proteomic approaches. KW - 2D gel electrophoresis KW - algae KW - Chlamydomonas KW - nuclear proteins KW - nucleus KW - proteomics Y1 - 2011 U6 - https://doi.org/10.1111/j.1529-8817.2011.00967.x SN - 0022-3646 VL - 47 IS - 2 SP - 333 EP - 340 PB - Wiley-Blackwell CY - Malden ER -