TY - THES A1 - Bulut, Mustafa T1 - Assessing the genetic architecture underlying systemic responses to variable environments in crops using multi-omics N2 - Plant metabolism serves as the primary mechanism for converting assimilated carbon into essential compounds crucial for plant growth and ultimately, crop yield. This renders it a focal point of research with significant implications. Despite notable strides in comprehending the genetic principles underpinning metabolism and yield, there remains a dearth of knowledge regarding the genetic factors responsible for trait variation under varying environmental conditions. Given the burgeoning global population and the advancing challenges posed by climate change, unraveling the intricacies of metabolic and yield responses to water scarcity became increasingly important in safeguarding food security. Our research group has recently started to work on the genetic resources of legume species. To this end, the study presented here investigates the metabolic diversity across five different legume species at a tissue level, identifying species-specific biosynthesis of alkaloids as well as iso-/flavonoids with diverse functional groups, namely prenylation, phenylacylation as well as methoxylation, to create a resource for follow up studies investigation the metabolic diversity in natural diverse populations of legume species. Following this, the second study investigates the genetic architecture of drought-induced changes in a global common bean population. Here, a plethora of quantitative trait loci (QTL) associated with various traits are identified by performing genome-wide association studies (GWAS), including for lipid signaling. On this site, overexpression of candidates highlighted the induction of several oxylipins reported to be pivotal in coping with harsh environmental conditions such as water scarcity. Diverging from the common bean and GWAS, the following study focuses on identifying drought-related QTL in tomato using a bi-parental breeding population. This descriptive study highlights novel multi-omic QTL, including metabolism, photosynthesis as well as fruit setting, some of which are uniquely assigned under drought. Compared to conventional approaches using the bi-parental IL population, the study presented improves the resolution by assessing further backcrossed ILs, named sub-ILs. In the final study, a photosynthetic gene, namely a PetM subunit of the cytochrome b6f complex encoding gene, involved in electron flow is characterized in an horticultural important crop. While several advances have been made in model organisms, this study highlights the transition of this fundamental knowledge to horticultural important crops, such as tomato, and investigates its function under differing light conditions. Overall, the presented thesis combines different strategies in unveiling the genetic components in multi-omic traits under drought using conventional breeding populations as well as a diverse global population. To this end, it allows a comparison of either approach and highlights their strengths and weaknesses. N2 - Der pflanzliche Stoffwechsel ist der wichtigste Mechanismus für die Umwandlung von assimiliertem Kohlenstoff in essenzielle Verbindungen, die für das Pflanzenwachstum und letztlich den Ernteertrag entscheidend sind. Dies macht ihn zu einem Schwerpunkt der Forschung mit erheblichen Auswirkungen. Trotz bemerkenswerter Fortschritte beim Verständnis der genetischen Prinzipien, die dem Stoffwechsel und den Erträgen zugrunde liegen, gibt es nach wie vor einen Mangel an Wissen über die genetischen Faktoren, die für die Variation von Merkmalen unter verschiedenen Umweltbedingungen verantwortlich sind. In Anbetracht der wachsenden Weltbevölkerung und der zunehmenden Herausforderungen durch den Klimawandel wird es immer wichtiger, die Feinheiten des Stoffwechsels und des Ertrags auf Wasserknappheit zu entschlüsseln, um die Ernährungssicherheit zu gewährleisten. Unsere Forschungsgruppe hat vor kurzem damit begonnen, sich mit den genetischen Ressourcen von Leguminosen zu befassen. Zu diesem Zweck untersucht die hier vorgestellte Studie die Stoffwechselvielfalt bei fünf verschiedenen Leguminosen auf Gewebeebene und identifiziert die artspezifische Biosynthese von Alkaloiden sowie Iso-/Flavonoiden mit verschiedenen funktionellen Gruppen, nämlich Prenylierung, Phenylacylierung sowie Methoxylierung, um eine Ressource für Folgestudien zu schaffen, die die Stoffwechselvielfalt in verschiedenen natürlichen Populationen von Leguminosen untersuchen. Im Anschluss daran wird in der zweiten Studie die genetische Architektur trockenheitsbedingter Veränderungen in einer globalen Bohnenpopulation untersucht. Hier wird eine Vielzahl von quantitativen Merkmalsloci (QTL) identifiziert, die mit verschiedenen Merkmalen assoziiert sind, darunter auch für die Lipidsignalübertragung, unter Durchführung genomweite Assoziationsstudien (GWAS). Die Überexpression von Kandidaten auf dieser Seite hat die Induktion mehrerer Oxylipine hervorgehoben, die Berichten zufolge für die Bewältigung rauer Umweltbedingungen wie Wasserknappheit von zentraler Bedeutung sind. Abweichend von der Bohne und der GWAS konzentriert sich die folgende Studie auf die Identifizierung trockenheitsbezogener QTL bei der Tomate unter Verwendung einer bi-elterlichen Zuchtpopulation. Diese deskriptive Studie hebt neuartige multi-omische QTL hervor, einschließlich für Stoffwechsel, Photosynthese und Fruchtansatz, von denen einige eindeutig dem Dürre-Stress zugeordnet werden. Im Vergleich zu herkömmlichen Ansätzen, bei denen die bi-elterliche IL-Population verwendet wird, verbessert die vorgestellte Studie die Auflösung, indem weitere rückgekreuzte ILs, so genannte sub-ILs, untersucht werden. In der letzten Studie wird ein photosynthetisches Gen, nämlich eine PetM-Untereinheit des Cytochrom b6fKomplexes, das am Elektronenfluss beteiligt ist, in einer für den Gartenbau wichtigen Pflanze charakterisiert. Während bei Modellorganismen bereits zahlreiche wissenschaftliche Fortschritte erzielt wurden, beleuchtet diese Studie den Übergang dieses grundlegenden Wissens auf wichtige Gartenbaupflanzen wie die Tomate und untersucht ihre Funktion unter verschiedenen Lichtbedingungen. Insgesamt werden in der vorliegenden Arbeit verschiedene Strategien kombiniert, um die genetischen Komponenten multi-omischer Merkmale bei Trockenheit aufzudecken, wobei sowohl konventionelle Zuchtpopulationen als auch eine vielfältige globale Population verwendet werden. Zu diesem Zweck ermöglicht sie einen Vergleich beider Ansätze und zeigt ihre Stärken und Schwächen auf. KW - genomics KW - metabolomics KW - phenomics KW - genome-wide association studies (GWAS) KW - genotype-by-Environmental interaction (GxE) KW - plasticity Y1 - 2023 ER - TY - THES A1 - Stößel, Daniel T1 - Biomarker Discovery in Multiple Sclerosis and Parkinson’s disease T1 - Biomarkerentwicklung in Multiple Sklerose und der Parkinson-Krankheit BT - novel insights into metabolic disease mechanisms N2 - Neuroinflammatory and neurodegenerative diseases such as Parkinson's (PD) and multiple sclerosis (MS) often result in a severe impairment of the patient´s quality of life. Effective therapies for the treatment are currently not available, which results in a high socio-economic burden. Due to the heterogeneity of the disease subtypes, stratification is particularly difficult in the early phase of the disease and is mainly based on clinical parameters such as neurophysiological tests and central nervous imaging. Due to good accessibility and stability, blood and cerebrospinal fluid metabolite markers could serve as surrogates for neurodegenerative processes. This can lead to an improved mechanistic understanding of these diseases and further be used as "treatment response" biomarkers in preclinical and clinical development programs. Therefore, plasma and CSF metabolite profiles will be identified that allow differentiation of PD from healthy controls, association of PD with dementia (PDD) and differentiation of PD subtypes such as akinetic rigid and tremor dominant PD patients. In addition, plasma metabolites for the diagnosis of primary progressive MS (PPMS) should be investigated and tested for their specificity to relapsing-remitting MS (RRMS) and their development during PPMS progression. By applying untargeted high-resolution metabolomics of PD patient samples and in using random forest and partial least square machine learning algorithms, this study identified 20 plasma metabolites and 14 CSF metabolite biomarkers. These differentiate against healthy individuals with an AUC of 0.8 and 0.9 in PD, respectively. We also identify ten PDD specific serum metabolites, which differentiate against healthy individuals and PD patients without dementia with an AUC of 1.0, respectively. Furthermore, 23 akinetic-rigid specific plasma markers were identified, which differentiate against tremor-dominant PD patients with an AUC of 0.94 and against healthy individuals with an AUC of 0.98. These findings also suggest more severe disease pathology in the akinetic-rigid PD than in tremor dominant PD. In the analysis of MS patient samples a partial least square analysis yielded predictive models for the classification of PPMS and resulted in 20 PPMS specific metabolites. In another MS study unknown changes in human metabolism were identified after administration of the multiple sclerosis drug dimethylfumarate, which is used for the treatment of RRMS. These results allow to describe and understand the hitherto completely unknown mechanism of action of this new drug and to use these findings for the further development of new drugs and targets against RRMS. In conclusion, these results have the potential for improved diagnosis of these diseases and improvement of mechanistic understandings, as multiple deregulated pathways were identified. Moreover, novel Dimethylfumarate targets can be used to aid drug development and treatment efficiency. Overall, metabolite profiling in combination with machine learning identified as a promising approach for biomarker discovery and mode of action elucidation. N2 - Neuroinflammatorische and neurodegenerative Erkrankungen wie Parkinson (PD) und Multiple Sklerose (MS) gehen oft mit einer starken Beeinträchtigung der Lebensqualität einher. Effektive Therapien für die Behandlung sind derzeit nicht verfügbar, was nicht zuletzt eine hohe sozioökonomische Last zur Folge hat. Aufgrund der Heterogenität der Krankheitsbilder ist eine Stratifizierung gerade in der Frühphase der Erkrankung schwierig und basiert hauptsächlich auf klinischen Parametern wie bspw. neurophysiologischen Tests und bildgebenden Verfahren. Aufgrund ihrer guten Zugänglichkeit und Stabilität könnten bestimmte Blut- und Liquor-Metabolitenmarker als Surrogat für neurodegenerative Prozesse dienen, zu einem verbesserten mechanistischen Verständnis dieser Krankheiten führen und nicht zuletzt als “treatment response“ Biomarker in präklinischen und klinischen Entwicklungsprogrammen herangezogen werden. In dieser Arbeit sollten deshalb Plasma- und CSF-Metabolitprofile identifiziert werden, die eine Differenzierung von PD zu gesunden Kontrollen, Assoziierung zu PD mit Demenz (PDD) sowie eine Abgrenzung zu unterschiedlichen PD-Subtypen wie akinetisch-rigiden sowie tremor-dominanten PD-Patienten ermöglichen. Weiterhin wurden in dieser Arbeit Plasmametabolite zur Diagnose von primär-progressiver MS (PPMS) erforscht und auf ihre Spezifität gegenüber schubförmig remittierender MS (RRMS) und PD geprüft sowie deren Verlauf während der PPMS Progression getestet. Hierbei konnten durch “untargeted Metabolomics“ in Kombination mit statistischen Modellen mehrere Plasma- und CSF-Metabolite in PD-Patienten/Erkrankten ermittelt werden, die mit Hilfe von statistischen Diagnosemodellen eine Differenzierung zu gesunden Personen ermöglichen. Darüber hinaus wurden in dieser Arbeit PDD-spezifische Serummetabolite identifiziert, die wiederum genutzt werden können, um diesen PD-Typen von gesunden Individuen und PD-Patienten ohne Demenz abzugrenzen. Des Weiteren konnten bei akinetisch-rigiden PD-Patienten spezifische Metabolite entdeckt werden, die im Vergleich zu tremor-dominanten PD-Patienten eine stärkere metabolische Krankheitssymptomatik suggerieren. Im Zusammenhang mit PPMS wurden in dieser Arbeit spezifische Plasma-Metabolite entdeckt, die zur Diagnose gegen RRMS, PD und gesunden Kontrollen genutzt werden können. Interessanterweise zeigte dabei ein spezifisches Lipid geringere Werte im PPMS Krankheitsverlauf, wodurch sich dieses als möglicher Marker zur Progressionsdiagnostik dieser Krankheit qualifiziert. Abschließend konnten in dieser Arbeit im humanen Stoffwechsel bisher unbekannte Angriffspunkte des Medikaments Dimethylfumarat, das zur Behandlung von RRMS verwendet wird, ermittelt werden. Durch diese Ergebnisse kann der bis jetzt gänzlich unbekannte Wirkungsmechanismus dieses neuen Medikaments besser beschrieben und verstanden, sowie zur Weiterentwicklung neuer Medikamente gegen RRMS genutzt werden. KW - metabolomics KW - biomarker KW - multiple sclerosis KW - Parkinson's disease KW - neurodegeneration KW - neuroinflammation KW - machine-learning KW - Parkinson-Krankheit KW - Biomarker KW - Maschinelles-Lernen KW - Metabolomics KW - Multiple-Sklerose Y1 - 2018 ER - TY - JOUR A1 - Rohrmann, Johannes A1 - Tohge, Takayuki A1 - Alba, Rob A1 - Osorio, Sonia A1 - Caldana, Camila A1 - McQuinn, Ryan A1 - Arvidsson, Samuel Janne A1 - van der Merwe, Margaretha J. A1 - Riano-Pachon, Diego Mauricio A1 - Müller-Röber, Bernd A1 - Fei, Zhangjun A1 - Nesi, Adriano Nunes A1 - Giovannoni, James J. A1 - Fernie, Alisdair R. T1 - Combined transcription factor profiling, microarray analysis and metabolite profiling reveals the transcriptional control of metabolic shifts occurring during tomato fruit development JF - The plant journal N2 - Maturation of fleshy fruits such as tomato (Solanum lycopersicum) is subject to tight genetic control. Here we describe the development of a quantitative real-time PCR platform that allows accurate quantification of the expression level of approximately 1000 tomato transcription factors. In addition to utilizing this novel approach, we performed cDNA microarray analysis and metabolite profiling of primary and secondary metabolites using GC-MS and LC-MS, respectively. We applied these platforms to pericarp material harvested throughout fruit development, studying both wild-type Solanum lycopersicum cv. Ailsa Craig and the hp1 mutant. This mutant is functionally deficient in the tomato homologue of the negative regulator of the light signal transduction gene DDB1 from Arabidopsis, and is furthermore characterized by dramatically increased pigment and phenolic contents. We choose this particular mutant as it had previously been shown to have dramatic alterations in the content of several important fruit metabolites but relatively little impact on other ripening phenotypes. The combined dataset was mined in order to identify metabolites that were under the control of these transcription factors, and, where possible, the respective transcriptional regulation underlying this control. The results are discussed in terms of both programmed fruit ripening and development and the transcriptional and metabolic shifts that occur in parallel during these processes. KW - transcription factor KW - Solanum lycopersicum KW - quantitative RT-PCR KW - microarray KW - metabolomics KW - fleshy fruit ripening Y1 - 2011 U6 - https://doi.org/10.1111/j.1365-313X.2011.04750.x SN - 0960-7412 VL - 68 IS - 6 SP - 999 EP - 1013 PB - Wiley-Blackwell CY - Malden ER - TY - JOUR A1 - Lisec, Jan A1 - Römisch-Margl, Lilla A1 - Nikoloski, Zoran A1 - Piepho, Hans-Peter A1 - Giavalisco, Patrick A1 - Selbig, Joachim A1 - Gierl, Alfons A1 - Willmitzer, Lothar T1 - Corn hybrids display lower metabolite variability and complex metabolite inheritance patterns JF - The plant journal N2 - We conducted a comparative analysis of the root metabolome of six parental maize inbred lines and their 14 corresponding hybrids showing fresh weight heterosis. We demonstrated that the metabolic profiles not only exhibit distinct features for each hybrid line compared with its parental lines, but also separate reciprocal hybrids. Reconstructed metabolic networks, based on robust correlations between metabolic profiles, display a higher network density in most hybrids as compared with the corresponding inbred lines. With respect to metabolite level inheritance, additive, dominant and overdominant patterns are observed with no specific overrepresentation. Despite the observed complexity of the inheritance pattern, for the majority of metabolites the variance observed in all 14 hybrids is lower compared with inbred lines. Deviations of metabolite levels from the average levels of the hybrids correlate negatively with biomass, which could be applied for developing predictors of hybrid performance based on characteristics of metabolite patterns. KW - heterosis KW - Zea mays KW - metabolomics Y1 - 2011 U6 - https://doi.org/10.1111/j.1365-313X.2011.04689.x SN - 0960-7412 VL - 68 IS - 2 SP - 326 EP - 336 PB - Wiley-Blackwell CY - Malden ER - TY - JOUR A1 - Schwahn, Kevin A1 - Nikoloski, Zoran T1 - Data reduction approaches for dissecting transcriptional effects on metabolism JF - Frontiers in plant science N2 - The availability of high-throughput data from transcriptomics and metabolomics technologies provides the opportunity to characterize the transcriptional effects on metabolism. Here we propose and evaluate two computational approaches rooted in data reduction techniques to identify and categorize transcriptional effects on metabolism by combining data on gene expression and metabolite levels. The approaches determine the partial correlation between two metabolite data profiles upon control of given principal components extracted from transcriptomics data profiles. Therefore, they allow us to investigate both data types with all features simultaneously without doing preselection of genes. The proposed approaches allow us to categorize the relation between pairs of metabolites as being under transcriptional or post-transcriptional regulation. The resulting classification is compared to existing literature and accumulated evidence about regulatory mechanism of reactions and pathways in the cases of Escherichia coil, Saccharomycies cerevisiae, and Arabidopsis thaliana. KW - E. coil KW - S. cerevisiae KW - A. thaliana KW - partial correlation KW - principal component analysis KW - metabolomics KW - data reduction KW - regulation Y1 - 2018 U6 - https://doi.org/10.3389/fpls.2018.00538 SN - 1664-462X VL - 9 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Jüppner, Jessica A1 - Mubeen, Umarah A1 - Leisse, Andrea A1 - Caldana, Camila A1 - Brust, Henrike A1 - Steup, Martin A1 - Herrmann, Marion A1 - Steinhauser, Dirk A1 - Giavalisco, Patrick T1 - Dynamics of lipids and metabolites during the cell cycle of Chlamydomonas reinhardtii JF - The plant journal N2 - Metabolites and lipids are the final products of enzymatic processes, distinguishing the different cellular functions and activities of single cells or whole tissues. Understanding these cellular functions within a well-established model system requires a systemic collection of molecular and physiological information. In the current report, the green alga Chlamydomonas reinhardtii was selected to establish a comprehensive workflow for the detailed multi-omics analysis of a synchronously growing cell culture system. After implementation and benchmarking of the synchronous cell culture, a two-phase extraction method was adopted for the analysis of proteins, lipids, metabolites and starch from a single sample aliquot of as little as 10-15million Chlamydomonas cells. In a proof of concept study, primary metabolites and lipids were sampled throughout the diurnal cell cycle. The results of these time-resolved measurements showed that single compounds were not only coordinated with each other in different pathways, but that these complex metabolic signatures have the potential to be used as biomarkers of various cellular processes. Taken together, the developed workflow, including the synchronized growth of the photoautotrophic cell culture, in combination with comprehensive extraction methods and detailed metabolic phenotyping has the potential for use in in-depth analysis of complex cellular processes, providing essential information for the understanding of complex biological systems. KW - Chlamydomonas reinhardtii KW - synchronized cell cultures KW - photoautotrophic growth KW - cell cycle KW - metabolomics KW - lipidomics KW - systems biology KW - two-phase extraction KW - diurnal cycle KW - technical advance Y1 - 2017 U6 - https://doi.org/10.1111/tpj.13642 SN - 0960-7412 SN - 1365-313X VL - 92 SP - 331 EP - 343 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Zwaag, Jelle A1 - Horst, Rob ter A1 - Blaženović, Ivana A1 - Stößel, Daniel A1 - Ratter, Jacqueline A1 - Worseck, Josephine M. A1 - Schauer, Nicolas A1 - Stienstra, Rinke A1 - Netea, Mihai G. A1 - Jahn, Dieter A1 - Pickkers, Peter A1 - Kox, Matthijs T1 - Involvement of lactate and pyruvate in the anti-inflammatory effects exerted by voluntary activation of the sympathetic nervous system JF - Metabolites N2 - We recently demonstrated that the sympathetic nervous system can be voluntarily activated following a training program consisting of cold exposure, breathing exercises, and meditation. This resulted in profound attenuation of the systemic inflammatory response elicited by lipopolysaccharide (LPS) administration. Herein, we assessed whether this training program affects the plasma metabolome and if these changes are linked to the immunomodulatory effects observed. A total of 224 metabolites were identified in plasma obtained from 24 healthy male volunteers at six timepoints, of which 98 were significantly altered following LPS administration. Effects of the training program were most prominent shortly after initiation of the acquired breathing exercises but prior to LPS administration, and point towards increased activation of the Cori cycle. Elevated concentrations of lactate and pyruvate in trained individuals correlated with enhanced levels of anti-inflammatory interleukin (IL)-10. In vitro validation experiments revealed that co-incubation with lactate and pyruvate enhances IL-10 production and attenuates the release of pro-inflammatory IL-1 beta and IL-6 by LPS-stimulated leukocytes. Our results demonstrate that practicing the breathing exercises acquired during the training program results in increased activity of the Cori cycle. Furthermore, this work uncovers an important role of lactate and pyruvate in the anti-inflammatory phenotype observed in trained subjects. KW - metabolomics KW - LPS KW - endotoxin KW - pyruvate KW - lactate KW - cytokines KW - inflammation KW - human endotoxemia KW - cori cycle KW - warburg effect Y1 - 2020 U6 - https://doi.org/10.3390/metabo10040148 SN - 2218-1989 VL - 10 IS - 4 SP - 1 EP - 18 PB - MDPI CY - Basel ER - TY - JOUR A1 - Catchpole, Gareth A1 - Platzer, Alexander A1 - Weikert, Cornelia A1 - Kempkensteffen, Carsten A1 - Johannsen, Manfred A1 - Krause, Hans A1 - Jung, Klaus A1 - Miller, Kurt A1 - Willmitzer, Lothar A1 - Selbig, Joachim A1 - Weikert, Steffen T1 - Metabolic profiling reveals key metabolic features of renal cell carcinoma JF - Journal of cellular and molecular medicine : a journal of translational medicine N2 - Recent evidence suggests that metabolic changes play a pivotal role in the biology of cancer and in particular renal cell carcinoma (RCC). Here, a global metabolite profiling approach was applied to characterize the metabolite pool of RCC and normal renal tissue. Advanced decision tree models were applied to characterize the metabolic signature of RCC and to explore features of metastasized tumours. The findings were validated in a second independent dataset. Vitamin E derivates and metabolites of glucose, fatty acid, and inositol phosphate metabolism determined the metabolic profile of RCC. alpha-tocopherol, hippuric acid, myoinositol, fructose-1-phosphate and glucose-1-phosphate contributed most to the tumour/normal discrimination and all showed pronounced concentration changes in RCC. The identified metabolic profile was characterized by a low recognition error of only 5% for tumour versus normal samples. Data on metastasized tumours suggested a key role for metabolic pathways involving arachidonic acid, free fatty acids, proline, uracil and the tricarboxylic acid cycle. These results illustrate the potential of mass spectroscopy based metabolomics in conjunction with sophisticated data analysis methods to uncover the metabolic phenotype of cancer. Differentially regulated metabolites, such as vitamin E compounds, hippuric acid and myoinositol, provide leads for the characterization of novel pathways in RCC. KW - kidney cancer KW - metabolism KW - metabolomics KW - metastasis Y1 - 2011 U6 - https://doi.org/10.1111/j.1582-4934.2009.00939.x SN - 1582-1838 VL - 15 IS - 1 SP - 109 EP - 118 PB - Wiley-Blackwell CY - Malden 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 - Stobiecki, Maciej A1 - Skirycz, Aleksandra A1 - Kerhoas, L. A1 - Kachlicki, P. A1 - Muth, D. A1 - Einhorn, J. A1 - Mueller-Roeber, Bernd T1 - Profiling of phenolic glycosidic conjugates in leaves of Arabidopsis thaliana using LC/MS JF - Metabolomics : the official journal of the Metabolomics Society N2 - Profiling of plant secondary metabolites is still a very difficult task. Liquid chromatography (LC) or capillary electrophoresis hyphenated with different kinds of detectors are methods of choice for analysis of polar, thermo labile compounds with high molecular masses. We demonstrate the applicability of LC combined with UV diode array or/and mass spectrometric detectors for the unambiguous identification and quantification of flavonoid conjugates isolated from Arahidopsis thaliana leaves of different genotypes and grown in different environmental conditions. During LC/UV/MS/MS analyses we were able to identify tetra-, tri, and di-glycosides of kaempferol, quercetin and isorhamnetin. Based on our results we can conclude that due to the co-elution of different chemical compounds in reversed phase H PLC systems the application of UV detectors does not allow to precisely profile all flavonoid conjugates existing in A. thaliana genotypes. Using MS detection it was possible to unambiguously recognize the glycosylation patterns of the aglycones. However, from the mass spectra we could not conclude neither the anomeric form of the C-1 carbon atoms of sugar moieties in glycosidic bonds between sugars or sugar and aglycone nor the position of the second carbon involved in disaccharides. The applicability of collision induced dissociation techniques (CID MS/MS) for structural analyses of the studied group of plant secondary metabolites with two types of analyzers (triple quadrupole or ion trap) was demonstrated. KW - liquid chromatography-mass spectrometry KW - metabolite profiling KW - metabolomics KW - flavonoid glycosides Y1 - 2006 U6 - https://doi.org/10.1007/s11306-006-0031-5 SN - 1573-3882 VL - 2 SP - 197 EP - 219 PB - Springer CY - New York 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 - Balazadeh, Salma A1 - Schildhauer, Joerg A1 - Araujo, Wagner L. A1 - Munne-Bosch, Sergi A1 - Fernie, Alisdair R. A1 - Proost, Sebastian A1 - Humbeck, Klaus A1 - Müller-Röber, Bernd T1 - Reversal of senescence by N resupply to N-starved Arabidopsis thaliana: transcriptomic and metabolomic consequences JF - Journal of experimental botany N2 - Leaf senescence is a developmentally controlled process, which is additionally modulated by a number of adverse environmental conditions. Nitrogen shortage is a well-known trigger of precocious senescence in many plant species including crops, generally limiting biomass and seed yield. However, leaf senescence induced by nitrogen starvation may be reversed when nitrogen is resupplied at the onset of senescence. Here, the transcriptomic, hormonal, and global metabolic rearrangements occurring during nitrogen resupply-induced reversal of senescence in Arabidopsis thaliana were analysed. The changes induced by senescence were essentially in keeping with those previously described; however, these could, by and large, be reversed. The data thus indicate that plants undergoing senescence retain the capacity to sense and respond to the availability of nitrogen nutrition. The combined data are discussed in the context of the reversibility of the senescence programme and the evolutionary benefit afforded thereby. Future prospects for understanding and manipulating this process in both Arabidopsis and crop plants are postulated. KW - Arabidopsis KW - gene expression KW - metabolomics KW - nitrogen limitation KW - senescence KW - transcriptome Y1 - 2014 U6 - https://doi.org/10.1093/jxb/eru119 SN - 0022-0957 SN - 1460-2431 VL - 65 IS - 14 SP - 3975 EP - 3992 PB - Oxford Univ. Press CY - Oxford ER - TY - JOUR A1 - Steuer, Ralf A1 - Gross, Thilo A1 - Selbig, Joachim A1 - Blasius, Bernd T1 - Structural kinetic modeling of metabolic networks JF - Proceedings of the National Academy of Sciences of the United States of America N2 - To develop and investigate detailed mathematical models of metabolic processes is one of the primary challenges in systems biology. However, despite considerable advance in the topological analysis of metabolic networks, kinetic modeling is still often severely hampered by inadequate knowledge of the enzyme-kinetic rate laws and their associated parameter values. Here we propose a method that aims to give a quantitative account of the dynamical capabilities of a metabolic system, without requiring any explicit information about the functional form of the rate equations. Our approach is based on constructing a local linear model at each point in parameter space, such that each element of the model is either directly experimentally accessible or amenable to a straightforward biochemical interpretation. This ensemble of local linear models, encompassing all possible explicit kinetic models, then allows for a statistical exploration of the comprehensive parameter space. The method is exemplified on two paradigmatic metabolic systems: the glycolytic pathway of yeast and a realistic-scale representation of the photosynthetic Calvin cycle. KW - systems biology KW - computational biochemistry KW - metabolomics KW - metabolic regulation KW - biological robustness Y1 - 2006 U6 - https://doi.org/10.1073/pnas.0600013103 SN - 0027-8424 SN - 1091-6490 VL - 103 IS - 32 SP - 11868 EP - 11873 PB - National Academy of Sciences CY - Washington ER - TY - THES A1 - Lopes Fernando, Raquel Sofia T1 - The impact of aging on proteolytic systems, transcriptome and metabolome of slow and fast muscle fiber types N2 - Aging is a complex process characterized by several factors, including loss of genetic and epigenetic information, accumulation of chronic oxidative stress, protein damage and aggregates and it is becoming an emergent drug target. Therefore, it is the utmost importance to study aging and agerelated diseases, to provide treatments to develop a healthy aging process. Skeletal muscle is one of the earliest tissues affected by age-related changes with progressive loss of muscle mass and function from 30 years old, effect known as sarcopenia. Several studies have shown the accumulation of protein aggregates in different animal models, as well as in humans, suggesting impaired proteostasis, a hallmark of aging, especially regarding degradation systems. Thus, different publications have explored the role of the main proteolytic systems in skeletal muscle from rodents and humans, like ubiquitin proteasomal system (UPS) and autophagy lysosomal system (ALS), however with contradictory results. Yet, most of the published studies are performed in muscles that comprise more than one fiber type, that means, muscles composed by slow and fast fibers. These fiber types, exhibit different metabolism and contraction speed; the slow fibers or type I display an oxidative metabolism, while fast fibers function towards a glycolytic metabolism ranging from fast oxidative to fast glycolytic fibers. To this extent, the aim of this thesis sought to understand on how aging impacts both fiber types not only regarding proteostasis but also at a metabolome and transcriptome network levels. Therefore, the first part of this thesis, presents the differences between slow oxidative (from Soleus muscle) and fast glycolytic fibers (Extensor digitorum longus, EDL) in terms of degradation systems and how they cope with oxidative stress during aging, while the second part explores the differences between young and old EDL muscle transcriptome and metabolome, unraveling molecular features. More specifically, the results from the present work show that slow oxidative muscle performs better at maintaining the function of UPS and ALS during aging than EDL muscle, which is clearly affected, accounting for the decline in the catalytic activity rates and accumulation of autophagy-related proteins. Strinkingly, transcriptome and metabolome analyses reveal that fast glycolytic muscle evidences significant downregulation of mitochondrial related processes and damaged mitochondria morphology during aging, despite of having a lower oxidative metabolism compared to oxidative fibers. Moreover, predictive analyses reveal a negative association between aged EDL gene signature and lifespan extending interventions such as caloric restriction (CR). Although, CR intervention does not alter the levels of mitochondrial markers in aged EDL muscle, it can reverse the higher mRNA levels of muscle damage markers. Together, the results from this thesis give new insights about how different metabolic muscle fibers cope with age-related changes and why fast glycolytic fibers are more susceptible to aging than slow oxidative fibers. N2 - Altern ist ein komplexer Prozess, der durch mehrere Faktoren gekennzeichnet ist, darunter der Verlust genetischer und epigenetischer Informationen, oxidativer Stress, sowie die Anhäufung von Proteinschäden und Aggregaten. Daher ist es von größter Bedeutung, das Altern und altersbedingte Krankheiten zu erforschen, um Arzneimittel und andere Behandlungen für einen gesunden Alterungsprozess zu entwickeln. Die Skelettmuskulatur ist eines der ersten Gewebe, das von altersbedingten Veränderungen betroffen ist. Ab einem Alter von 30 Jahren kommt es zu einem fortschreitenden Verlust der Muskelmasse und -funktion, der auch als Sarkopenie bezeichnet wird. Mehrere Studien haben die Anhäufung von Proteinaggregaten beim Altern in verschiedenen Tiermodellen und auch beim Menschen gezeigt, was auf eine gestörte Proteostase, insbesondere hinsichtlich der Abbauprozesse schließen lässt. Demnach wurde weiterführend die Rolle der wichtigsten proteolytischen Systeme, das Ubiquitin Proteasom System (UPS) und AutophagieLysosomale System (ALS), im alternden Skelettmuskel von Nagetieren und Menschen untersucht. Die Ergebnisse waren widersprüchlich, jedoch wurden die meisten der veröffentlichten Studien an Muskeln durchgeführt, die aus mehr als einem Muskelfasertyp bestehen, d.h. Muskeln, die aus langsamen und schnellen Muskelfasern zusammengesetzt sind. Diese Muskelfasertypen unterscheiden sich hinsichtlich des Stoffwechsels und der Kontraktionsgeschwindigkeit. Die langsamen Fasern oder der Typ I haben einen oxidativen Stoffwechsel, während die schnellen Fasern einen glykolytischen Stoffwechsel aufweisen und aus schnellen oxidativen bis zu schnellen glykolytischen Fasern bestehen können. Insofern war es das Ziel dieser Arbeit zu verstehen, wie sich das Altern auf beide Fasertypen auswirkt, und zwar nicht nur im Hinblick auf die Proteostase, sondern auch auf das Metabolom und Transkriptom. Im ersten Teil dieser Arbeit werden die Unterschiede zwischen langsamen oxidativen (Soleus-Muskel) und schnellen glykolytischen Fasern (Extensor digitorum longus-Muskel; EDL) in Bezug auf die Proteinabbausysteme und die Art und Weise, wie sie mit oxidativem Stress während des Alterns umgehen, dargestellt. Im zweiten Teil werden die Unterschiede zwischen dem Transkriptom und dem Metabolom des jungen und alten EDL-Muskels untersucht, um die molekularen Merkmale zu entschlüsseln. Im Einzelnen zeigen die Ergebnisse der vorliegenden Arbeit, dass der langsam oxidierende Muskel im Vergleich zum EDL-Muskel besser in der Lage ist, die Funktion von UPS und ALS während des Alterns aufrechtzuerhalten. Die Funktionalität des UPS und ALS ist im alternden EDL-Muskels vermindert, was durch den Rückgang der katalytischen Aktivitätsraten und die Anhäufung von mit Autophagie-assoziierten Proteinen gezeigt wurde. Transkriptom- und Metabolomanalysen zeigen, dass schnelle glykolytische Muskeln eine signifikante Herabregulierung mitochondrialer Prozesse und eine geschädigte Mitochondrienmorphologie während des Alterns aufweisen, obwohl sie im Vergleich zu oxidativen Fasern durch einen geringeren oxidativen Stoffwechsel charakterisiert sind. Darüber hinaus ergeben prädiktive Analysen einen negativen Zusammenhang zwischen der Gensignatur des gealterten EDL-Muskels und lebensverlängernden Maßnahmen wie der kalorischenRestriktion. Obwohl die kalorischen Restriktion Intervention die Werte der mitochondrialen Marker im gealterten EDL-Muskel nicht verändert, kann sie die höheren mRNA-Werte der Muskelschädigungsmarker umkehren. Zusammenfassend liefern die Ergebnisse dieser Arbeit neue Erkenntnisse darüber, wie verschiedene metabolische Muskelfasern mit altersbedingten. Veränderungen umgehen und warum schnelle glykolytische Fasern anfälliger für die Alterung als langsame oxidative Fasern sind. KW - skeletal muscle aging KW - proteostasis KW - slow and fast fiber types KW - transcriptomics KW - metabolomics KW - sarcopenia KW - Skelettmuskelalterung KW - Proteostase KW - langsame und schnelle Fasertypen KW - Transkriptom KW - Metabolom KW - ubiquitin proteasomal system KW - autophagy lysosomal system KW - Ubiquitin Proteasom System KW - Autophagie Lysosomale System Y1 - 2023 U6 - https://doi.org/10.25932/publishup-60579 ER -