@article{ChengMacIntyreRamadanAbdelmohsenetal.2015, author = {Cheng, Cheng and MacIntyre, Lynsey and Ramadan Abdelmohsen, Usama and Horn, Hannes and Polymenakou, Paraskevi N. and Edrada-Ebel, RuAngelie and Hentschel, Ute}, title = {Biodiversity, Anti-Trypanosomal Activity Screening, and Metabolomic Profiling of Actinomycetes Isolated from Mediterranean Sponges}, series = {PLoS One}, volume = {10}, journal = {PLoS One}, number = {9}, doi = {10.1371/journal.pone.0138528}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-125138}, pages = {e0138528}, year = {2015}, abstract = {Marine sponge-associated actinomycetes are considered as promising sources for the discovery of novel biologically active compounds. In the present study, a total of 64 actinomycetes were isolated from 12 different marine sponge species that had been collected offshore the islands of Milos and Crete, Greece, eastern Mediterranean. The isolates were affiliated to 23 genera representing 8 different suborders based on nearly full length 16S rRNA gene sequencing. Four putatively novel species belonging to genera Geodermatophilus, Microlunatus, Rhodococcus and Actinomycetospora were identified based on a 16S rRNA gene sequence similarity of < 98.5\% to currently described strains. Eight actinomycete isolates showed bioactivities against Trypanosma brucei brucei TC221 with half maximal inhibitory concentration (IC50) values <20 μg/mL. Thirty four isolates from the Milos collection and 12 isolates from the Crete collection were subjected to metabolomic analysis using high resolution LC-MS and NMR for dereplication purposes. Two isolates belonging to the genera Streptomyces (SBT348) and Micromonospora (SBT687) were prioritized based on their distinct chemistry profiles as well as their anti-trypanosomal activities. These findings demonstrated the feasibility and efficacy of utilizing metabolomics tools to prioritize chemically unique strains from microorganism collections and further highlight sponges as rich source for novel and bioactive actinomycetes.}, language = {en} } @article{AbdelmohsenChengViegelmannetal.2014, author = {Abdelmohsen, Usama Ramadan and Cheng, Cheng and Viegelmann, Christina and Zhang, Tong and Grkovic, Tanja and Ahmed, Safwat and Quinn, Ronald J. and Hentschel, Ute and Edrada-Ebel, RuAngelie}, title = {Dereplication Strategies for Targeted Isolation of New Antitrypanosomal Actinosporins A and B from a Marine Sponge Associated-Actinokineospora sp EG49}, series = {Marine Drugs}, volume = {12}, journal = {Marine Drugs}, number = {3}, issn = {1660-3397}, doi = {10.3390/md12031220}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-119876}, pages = {1220-44}, year = {2014}, abstract = {High resolution Fourier transform mass spectrometry (HRFTMS) and nuclear magnetic resonance (NMR) spectroscopy were employed as complementary metabolomic tools to dereplicate the chemical profile of the new and antitrypanosomally active sponge-associated bacterium Actinokineospora sp. EG49 extract. Principal Component (PCA), hierarchical clustering (HCA), and orthogonal partial least square-discriminant analysis (OPLS-DA) were used to evaluate the HRFTMS and NMR data of crude extracts from four different fermentation approaches. Statistical analysis identified the best culture one-strain-many-compounds (OSMAC) condition and extraction procedure, which was used for the isolation of novel bioactive metabolites. As a result, two new O-glycosylated angucyclines, named actinosporins A (1) and B (2), were isolated from the broth culture of Actinokineospora sp. strain EG49, which was cultivated from the Red Sea sponge Spheciospongia vagabunda. The structures of actinosporins A and B were determined by 1D- and 2D-NMR techniques, as well as high resolution tandem mass spectrometry. Testing for antiparasitic properties showed that actinosporin A exhibited activity against Trypanosoma brucei brucei with an IC₅₀ value of 15 µM; however no activity was detected against Leishmania major and Plasmodium falciparum, therefore suggesting its selectivity against the parasite Trypanosoma brucei brucei; the causative agent of sleeping sickness.}, language = {en} } @phdthesis{Cheng2017, author = {Cheng, Cheng}, title = {Metabolomics and dereplication-based isolation of novel bioactive natural products from marine sponge-associated actinomycetes}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-136587}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2017}, abstract = {Marine sponge-associated actinomycetes are considered as promising source for the discovery of novel biologically active compounds. Metabolomics coupled multivariate analysis can efficiently reduce the chemical redundancy of re-isolating known compounds at the very early stage of natural product discovery. This Ph.D. project aimed to isolate biologically active secondary metabolites from actinomycetes associated with different Mediterranean sponges with the assistance of metabolomics tools to implement a rapid dereplication and chemically distinct candidate targeting for further up-scaling compounds isolation. This study first focused on the recovery of actinomycetes from marine sponges by various cultivation efforts. Twelve different media and two separate pre-treatments of each bacterial extract were designed and applied to facilitate actinomycete diversity and richness. A total of 64 actinomycetes were isolated from 12 different marine sponge species. The isolates were affiliated to 23 genera representing 8 different suborders based on nearly full-length 16S rRNA gene sequencing. Four putatively novel species belonging to the genera Geodermatophilus, Microlunatus, Rhodococcus, and Actinomycetospora were identified based on a sequence similarity <98.5\% to validly described 16S rRNA gene sequences. 20\% of the isolated actinomycetes was shown to exhibit diverse biological properties, including antioxidant, anti-Bacillus sp., anti-Aspergillus sp., and antitrypanosomal activities. The metabolomics approaches combined with the bioassay results identified two candidate strains Streptomyces sp. SBT348 and Streptomyces sp. SBT345 for further up-scaling cultivation and compounds isolation. Four compounds were isolated from Streptomyces sp. SBT348. Three of these compounds including the new cyclic dipeptide petrocidin A were previously highlighted in the metabolomics analyses, corroborating the feasibility of metabolomics approaches in novel compounds discovery. These four compounds were also tested against two pathogen microorganisms since the same activities were shown in their crude extract in the preliminary bioassay screening, however none of them displayed the expected activities, which may ascribe to the insufficient amount obtained. Streptomyces sp. SBT345 yielded 5 secondary metabolites, three of which were identified as new natural products, namely strepthonium A, ageloline A and strepoxazine A. Strepthonium A inhibited the production of Shiga toxin produced by enterohemorrhagic Escherichia coli at a concentration of 80 μM, without interfering with the bacterial growth. Ageloline A exhibited antioxidant activity and inhibited the inclusion of Chlamydia trachomatis with an IC50 value of 9.54 ± 0.36 μM. Strepoxazine A displayed antiproliferative property towards human promyelocytic HL-60 cells with an IC50 value of 16 μg/ml. 11 These results highlighted marine sponges as a rich source for novel actinomycetes and further exhibited the significance of marine sponge-associated actinomycetes as promising producers of novel biologically active compounds. The chemometrics coupled metabolomics approach also demonstrated its feasibility and efficacy in natural product discovery.}, subject = {Actinomyces}, language = {en} } @article{MacintyreZhangViegelmannetal.2014, author = {Macintyre, Lynsey and Zhang, Tong and Viegelmann, Christina and Martinez, Ignacio Juarez and Cheng, Cheng and Dowdells, Catherine and Abdelmohsen, Usama Ramadan and Gernert, Christine and Hentschel, Ute and Edrada-Ebel, RuAngelie}, title = {Metabolomic Tools for Secondary Metabolite Discovery from Marine Microbial Symbionts}, series = {Marine Drugs}, volume = {12}, journal = {Marine Drugs}, number = {6}, issn = {1660-3397}, doi = {10.3390/md12063416}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-116097}, pages = {3416-3448}, year = {2014}, abstract = {Marine invertebrate-associated symbiotic bacteria produce a plethora of novel secondary metabolites which may be structurally unique with interesting pharmacological properties. Selection of strains usually relies on literature searching, genetic screening and bioactivity results, often without considering the chemical novelty and abundance of secondary metabolites being produced by the microorganism until the time-consuming bioassay-guided isolation stages. To fast track the selection process, metabolomic tools were used to aid strain selection by investigating differences in the chemical profiles of 77 bacterial extracts isolated from cold water marine invertebrates from Orkney, Scotland using liquid chromatography-high resolution mass spectrometry (LC-HRMS) and nuclear magnetic resonance (NMR) spectroscopy. Following mass spectrometric analysis and dereplication using an Excel macro developed in-house, principal component analysis (PCA) was employed to differentiate the bacterial strains based on their chemical profiles. NMR H-1 and correlation spectroscopy (COSY) were also employed to obtain a chemical fingerprint of each bacterial strain and to confirm the presence of functional groups and spin systems. These results were then combined with taxonomic identification and bioassay screening data to identify three bacterial strains, namely Bacillus sp. 4117, Rhodococcus sp. ZS402 and Vibrio splendidus strain LGP32, to prioritize for scale-up based on their chemically interesting secondary metabolomes, established through dereplication and interesting bioactivities, determined from bioassay screening.}, language = {en} } @article{ChengOthmanStopperetal.2017, author = {Cheng, Cheng and Othman, Eman M. and Stopper, Helga and Edrada-Ebel, RuAngelie and Hentschel, Ute and Abdelmohsen, Usama Ramadan}, title = {Isolation of petrocidin A, a new cytotoxic cyclic dipeptide from the marine sponge-derived bacterium \(Streptomyces\) sp. SBT348}, series = {Marine Drugs}, volume = {15}, journal = {Marine Drugs}, number = {12}, doi = {10.3390/md15120383}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-172644}, year = {2017}, abstract = {A new cyclic dipeptide, petrocidin A (\(\textbf{1}\)), along with three known compounds—2,3-dihydroxybenzoic acid (\(\textbf{2}\)), 2,3-dihydroxybenzamide (\(\textbf{3}\)), and maltol (\(\textbf{4}\))—were isolated from the solid culture of \(Streptomyces\) sp. SBT348. The strain \(Streptomyces\) sp. SBT348 had been prioritized in a strain collection of 64 sponge-associated actinomycetes based on its distinct metabolomic profile using liquid chromatography/high-resolution mass spectrometry (LC-HRMS) and nuclear magnetic resonance (NMR). The absolute configuration of all α-amino acids was determined by HPLC analysis after derivatization with Marfey's reagent and comparison with commercially available reference amino acids. Structure elucidation was pursued in the presented study by mass spectrometry and NMR spectral data. Petrocidin A (\(\textbf{1}\)) and 2,3-dihydroxybenzamide (\(\textbf{3}\)) exhibited significant cytotoxicity towards the human promyelocytic HL-60 and the human colon adenocarcinoma HT-29 cell lines. These results demonstrated the potential of sponge-associated actinomycetes for the discovery of novel and pharmacologically active natural products.}, language = {en} } @article{KreisslStoutWongetal.2011, author = {Kreissl, Michael C. and Stout, David B. and Wong, Koon-Pong and Wu, Hsiao-Ming and Caglayan, Evren and Ladno, Waldemar and Zhang, Xiaoli and Prior, John and Reiners, Christoph and Huang, Sung-Cheng and Schelbert, Heinrich R.}, title = {Influence of Dietary Interventions and Insulin on Myocardial, Skeletal Muscle and Brain [18F]-Fluorodeoxyglucose Kinetics in Mice}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-68775}, year = {2011}, abstract = {Background: We evaluated the effect of insulin stimulation and dietary changes on myocardial, skeletal muscle and brain [18F]-fluorodeoxyglucose (FDG) kinetics and uptake in vivo in intact mice. Methods: Mice were anesthetized with isoflurane and imaged under different conditions: non-fasted (n = 7; "controls"), non-fasted with insulin (2 IU/kg body weight) injected subcutaneously immediately prior to FDG (n = 6), fasted (n = 5), and fasted with insulin injection (n = 5). A 60-min small-animal PET with serial blood sampling and kinetic modeling was performed. Results: We found comparable FDG standardized uptake values (SUVs) in myocardium in the non-fasted controls and non-fasted-insulin injected group (SUV 45-60 min, 9.58 ± 1.62 vs. 9.98 ± 2.44; p = 0.74), a lower myocardial SUV was noted in the fasted group (3.48 ± 1.73; p < 0.001). In contrast, the FDG uptake rate constant (Ki) for myocardium increased significantly by 47\% in non-fasted mice by insulin (13.4 ± 3.9 ml/min/100 g vs. 19.8 ± 3.3 ml/min/100 g; p = 0.030); in fasted mice, a lower myocardial Ki as compared to controls was observed (3.3 ± 1.9 ml/min/100 g; p < 0.001). Skeletal muscle SUVs and Ki values were increased by insulin independent of dietary state, whereas in the brain, those parameters were not influenced by fasting or administration of insulin. Fasting led to a reduction in glucose metabolic rate in the myocardium (19.41 ± 5.39 vs. 3.26 ± 1.97 mg/min/100 g; p < 0.001), the skeletal muscle (1.06 ± 0.34 vs. 0.34 ± 0.08 mg/min/100 g; p = 0.001) but not the brain (3.21 ± 0.53 vs. 2.85 ± 0.25 mg/min/100 g; p = 0.19). Conclusions: Changes in organ SUVs, uptake rate constants and metabolic rates induced by fasting and insulin administration as observed in intact mice by small-animal PET imaging are consistent with those observed in isolated heart/muscle preparations and, more importantly, in vivo studies in larger animals and in humans. When assessing the effect of insulin on the myocardial glucose metabolism of non-fasted mice, it is not sufficient to just calculate the SUV - dynamic imaging with kinetic modeling is necessary.}, subject = {Insulin}, language = {en} } @article{GalluzziBravoSanPedroVitaleetal.2015, author = {Galluzzi, L. and Bravo-San Pedro, J. M. and Vitale, I. and Aaronson, S. A. and Abrams, J. M. and Adam, D. and Alnemri, E. S. and Altucci, L. and Andrews, D. and Annicchiarico-Petruzelli, M. and Baehrecke, E. H. and Bazan, N. G. and Bertrand, M. J. and Bianchi, K. and Blagosklonny, M. V. and Blomgren, K. and Borner, C. and Bredesen, D. E. and Brenner, C. and Campanella, M. and Candi, E. and Cecconi, F. and Chan, F. K. and Chandel, N. S. and Cheng, E. H. and Chipuk, J. E. and Cidlowski, J. A. and Ciechanover, A. and Dawson, T. M. and Dawson, V. L. and De Laurenzi, V. and De Maria, R. and Debatin, K. M. and Di Daniele, N. and Dixit, V. M. and Dynlacht, B. D. and El-Deiry, W. S. and Fimia, G. M. and Flavell, R. A. and Fulda, S. and Garrido, C. and Gougeon, M. L. and Green, D. R. and Gronemeyer, H. and Hajnoczky, G. and Hardwick, J. M. and Hengartner, M. O. and Ichijo, H. and Joseph, B. and Jost, P. J. and Kaufmann, T. and Kepp, O. and Klionsky, D. J. and Knight, R. A. and Kumar, S. and Lemasters, J. J. and Levine, B. and Linkermann, A. and Lipton, S. A. and Lockshin, R. A. and L{\´o}pez-Ot{\´i}n, C. and Lugli, E. and Madeo, F. and Malorni, W. and Marine, J. C. and Martin, S. J. and Martinou, J. C. and Medema, J. P. and Meier, P. and Melino, S. and Mizushima, N. and Moll, U. and Mu{\~n}oz-Pinedo, C. and Nu{\~n}ez, G. and Oberst, A. and Panaretakis, T. and Penninger, J. M. and Peter, M. E. and Piacentini, M. and Pinton, P. and Prehn, J. H. and Puthalakath, H. and Rabinovich, G. A. and Ravichandran, K. S. and Rizzuto, R. and Rodrigues, C. M. and Rubinsztein, D. C. and Rudel, T. and Shi, Y. and Simon, H. U. and Stockwell, B. R. and Szabadkai, G. and Tait, S. W. and Tang, H. L. and Tavernarakis, N. and Tsujimoto, Y. and Vanden Berghe, T. and Vandenabeele, P. and Villunger, A. and Wagner, E. F. and Walczak, H. and White, E. and Wood, W. G. and Yuan, J. and Zakeri, Z. and Zhivotovsky, B. and Melino, G. and Kroemer, G.}, title = {Essential versus accessory aspects of cell death: recommendations of the NCCD 2015}, series = {Cell Death and Differentiation}, volume = {22}, journal = {Cell Death and Differentiation}, doi = {10.1038/cdd.2014.137}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-121207}, pages = {58-73}, year = {2015}, abstract = {Cells exposed to extreme physicochemical or mechanical stimuli die in an uncontrollable manner, as a result of their immediate structural breakdown. Such an unavoidable variant of cellular demise is generally referred to as 'accidental cell death' (ACD). In most settings, however, cell death is initiated by a genetically encoded apparatus, correlating with the fact that its course can be altered by pharmacologic or genetic interventions. 'Regulated cell death' (RCD) can occur as part of physiologic programs or can be activated once adaptive responses to perturbations of the extracellular or intracellular microenvironment fail. The biochemical phenomena that accompany RCD may be harnessed to classify it into a few subtypes, which often (but not always) exhibit stereotyped morphologic features. Nonetheless, efficiently inhibiting the processes that are commonly thought to cause RCD, such as the activation of executioner caspases in the course of apoptosis, does not exert true cytoprotective effects in the mammalian system, but simply alters the kinetics of cellular demise as it shifts its morphologic and biochemical correlates. Conversely, bona fide cytoprotection can be achieved by inhibiting the transduction of lethal signals in the early phases of the process, when adaptive responses are still operational. Thus, the mechanisms that truly execute RCD may be less understood, less inhibitable and perhaps more homogeneous than previously thought. Here, the Nomenclature Committee on Cell Death formulates a set of recommendations to help scientists and researchers to discriminate between essential and accessory aspects of cell death.}, language = {en} } @article{ManchiaAdliAkulaetal.2013, author = {Manchia, Mirko and Adli, Mazda and Akula, Nirmala and Arda, Raffaella and Aubry, Jean-Michel and Backlund, Lena and Banzato, Claudio E. M. and Baune, Bernhard T. and Bellivier, Frank and Bengesser, Susanne and Biernacka, Joanna M. and Brichant-Petitjean, Clara and Bui, Elise and Calkin, Cynthia V. and Cheng, Andrew Tai Ann and Chillotti, Caterina and Cichon, Sven and Clark, Scott and Czerski, Piotr M. and Dantas, Clarissa and Del Zompo, Maria and DePaulo, J. Raymond and Detera-Wadleigh, Sevilla D. and Etain, Bruno and Falkai, Peter and Fris{\´e}n, Louise and Frye, Mark A. and Fullerton, Jan and Gard, S{\´e}bastien and Garnham, Julie and Goes, Fernando S. and Grof, Paul and Gruber, Oliver and Hashimoto, Ryota and Hauser, Joanna and Heilbronner, Urs and Hoban, Rebecca and Hou, Liping and Jamain, St{\´e}phane and Kahn, Jean-Pierre and Kassem, Layla and Kato, Tadafumi and Kelsoe, John R. and Kittel-Schneider, Sarah and Kliwicki, Sebastian and Kuo, Po-Hsiu and Kusumi, Ichiro and Laje, Gonzalo and Lavebratt, Catharina and Leboyer, Marion and Leckband, Susan G. and L{\´o}pez Jaramillo, Carlos A. and Maj, Mario and Malafosse, Alain and Martinsson, Lina and Masui, Takuya and Mitchell, Philip B. and Mondimore, Frank and Monteleone, Palmiero and Nallet, Audrey and Neuner, Maria and Nov{\´a}k, Tom{\´a}s and O'Donovan, Claire and {\"O}sby, Urban and Ozaki, Norio and Perlis, Roy H. and Pfennig, Andrea and Potash, James B. and Reich-Erkelenz, Daniela and Reif, Andreas and Reininghaus, Eva and Richardson, Sara and Rouleau, Guy A. and Rybakowski, Janusz K. and Schalling, Martin and Schofield, Peter R. and Schubert, Oliver K. and Schweizer, Barbara and Seem{\"u}ller, Florian and Grigoroiu-Serbanescu, Maria and Severino, Giovanni and Seymour, Lisa R. and Slaney, Claire and Smoller, Jordan W. and Squassina, Alessio and Stamm, Thomas and Steele, Jo and Stopkova, Pavla and Tighe, Sarah K. and Tortorella, Alfonso and Turecki, Gustavo and Wray, Naomi R. and Wright, Adam and Zandi, Peter P. and Zilles, David and Bauer, Michael and Rietschel, Marcella and McMahon, Francis J. and Schulze, Thomas G. and Alda, Martin}, title = {Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report}, series = {PLoS ONE}, volume = {8}, journal = {PLoS ONE}, number = {6}, doi = {10.1371/journal.pone.0065636}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-130938}, pages = {e65636}, year = {2013}, abstract = {Objective: The assessment of response to lithium maintenance treatment in bipolar disorder (BD) is complicated by variable length of treatment, unpredictable clinical course, and often inconsistent compliance. Prospective and retrospective methods of assessment of lithium response have been proposed in the literature. In this study we report the key phenotypic measures of the "Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder" scale currently used in the Consortium on Lithium Genetics (ConLiGen) study. Materials and Methods: Twenty-nine ConLiGen sites took part in a two-stage case-vignette rating procedure to examine inter-rater agreement [Kappa (\(\kappa\))] and reliability [intra-class correlation coefficient (ICC)] of lithium response. Annotated first-round vignettes and rating guidelines were circulated to expert research clinicians for training purposes between the two stages. Further, we analyzed the distributional properties of the treatment response scores available for 1,308 patients using mixture modeling. Results: Substantial and moderate agreement was shown across sites in the first and second sets of vignettes (\(\kappa\) = 0.66 and \(\kappa\) = 0.54, respectively), without significant improvement from training. However, definition of response using the A score as a quantitative trait and selecting cases with B criteria of 4 or less showed an improvement between the two stages (\(ICC_1 = 0.71\) and \(ICC_2 = 0.75\), respectively). Mixture modeling of score distribution indicated three subpopulations (full responders, partial responders, non responders). Conclusions: We identified two definitions of lithium response, one dichotomous and the other continuous, with moderate to substantial inter-rater agreement and reliability. Accurate phenotypic measurement of lithium response is crucial for the ongoing ConLiGen pharmacogenomic study.}, language = {en} } @article{RoseSzopaHanetal.1988, author = {Rose, Kathleen M. and Szopa, Jan and Han, Fu-Sheng and Cheng, Yung-Chi and Richter, Arndt and Scheer, Ulrich}, title = {Association of DNA topoisomerase I and RNA polymerase I: A possible role for topoisomerase I in ribosomal gene transcription}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-33901}, year = {1988}, abstract = {RNA polymerase I preparations purified from a rat hepatoma contained DNA topoisomerase activity. The DNA topoisomerase associated with the polymerase had an Mr of 110000, required Mg2+ but not ATP, and was recognized by anti-topoisomerase I antibodies. When added to RNA polymerase I preparations containing topoisomerase activity, anti-topoisomerase I antibodies were able to inhibit the DNA relaxing activity of the preparation as well as RNA synthesis in vitro. RNA polymerase II prepared by analogous procedures did not contain topoisomerase activity and was not recognized by the antibodies. The topoisomerase I: polymerase I complex was reversibly dissociated by column chromatography on Sephacryl S200 in the presence of 0.25 M (NH4hS04. Topoisomerase I was immunolocalized in the transcriptionally active ribosomal gene complex containing RNA polymerase I in situ. These data indicate that topoisomerase I and RNA polymerase I are tightly complexed both in vivo and in vitro, and suggest a role for DNA topoisomerase I in the transcription of ribosomal genes.}, language = {en} } @phdthesis{Zhu2015, author = {Zhu, Ana Cheng}, title = {Metagenomic analysis of genetic variation in human gut microbial species}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-113890}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2015}, abstract = {Microbial species (bacteria and archaea) in the gut are important for human health in various ways. Not only does the species composition vary considerably within the human population, but each individual also appears to have its own strains of a given species. While it is known from studies of bacterial pan-genomes, that genetic variation between strains can differ considerably, such as in Escherichia coli, the extent of genetic variation of strains for abundant gut species has not been surveyed in a natural habitat. This is mainly due to the fact that most of these species cannot be cultured in the laboratory. Genetic variation can range from microscale genomic rearrangements such as small nucleotide polymorphism (SNP) to macroscale large genomic rearrangements like structural variations. Metagenomics offers an alternative solution to study genetic variation in prokaryotes, as it involves DNA sequencing of the whole community directly from the environment. However, most metagenomic studies to date only focus on variation in gene abundance and hence are not able to characterize genetic variation (in terms of presence or absence of SNPs and genes) of gut microbial strains of individuals. The aim of my doctorate studies was therefore to study the extent of genetic variation in the genomic sequence of gut prokaryotic species and its phenotypic effects based on: (1) the impact of SNP variation in gut bacterial species, by focusing on genes under selective pressure and (2) the gene content variation (as a proxy for structural variation) and their effect on microbial species and the phenotypic traits of their human host. In the first part of my doctorate studies, I was involved in a project in which we created a catalogue of 10.3 million SNPs in gut prokaryotic species, based on metagenomes. I used this to perform the first SNP-based comparative study of prokaryotic species evolution in a natural habitat. Here, I found that strains of gut microbial species in different individuals evolve at more similar rates than the strains within an individual. In addition, I found that gene evolution can be uncoupled from the evolution of its originating species, and that this could be related to selective pressure such as diet, exemplified by galactokinase gene (galK). Despite the individuality (i.e. uniqueness of each individual within the studied metagenomic dataset) in the SNP profile of the gut microbiota that we found, for most cases it is not possible to link SNPs with phenotypic differences. For this reason I also used gene content as a proxy to study structural variation in metagenomes. In the second part of my doctorate studies, I developed a methodology to characterize the variability of gene content in gut bacterial species, using metagenomes. My approach is based on gene deletions, and was applied to abundant species (demonstrated using a set of 11 species). The method is sufficiently robust as it captures a similar range of gene content variability as has been detected in completely sequenced genomes. Using this procedure I found individuals differ by an average of 13\% in their gene content of gut bacterial strains within the same species. Interestingly no two individuals shared the same gene content across bacterial species. However, this variation corresponds to a lower limit, as it is only accounts for gene deletion and not insertions. This large variation in the gene content of gut strain was found to affect important functions, such as polysaccharide utilization loci (PULs) and capsular polysaccharide synthesis (CPS), which are related with digestion of dietary fibers. In summary, I have shown that metagenomics based approaches can be robust in characterizing genetic variation in gut bacterial species. I also illustrated, using examples both for SNPs and gene content (galK, PULs and CPS), that this genetic variation can be used to predict the phenotypic characteristics of the microbial species, as well as predicting the phenotype of their human host (for example, their capacity to digest different food components). Overall, the results of my thesis highlight the importance of characterizing the strains in the gut microbiome analogous to the emerging variability and importance of human genomics.}, subject = {Darmflora}, language = {en} } @article{JiangOronClarketal.2016, author = {Jiang, Yuxiang and Oron, Tal Ronnen and Clark, Wyatt T. and Bankapur, Asma R. and D'Andrea, Daniel and Lepore, Rosalba and Funk, Christopher S. and Kahanda, Indika and Verspoor, Karin M. and Ben-Hur, Asa and Koo, Da Chen Emily and Penfold-Brown, Duncan and Shasha, Dennis and Youngs, Noah and Bonneau, Richard and Lin, Alexandra and Sahraeian, Sayed M. E. and Martelli, Pier Luigi and Profiti, Giuseppe and Casadio, Rita and Cao, Renzhi and Zhong, Zhaolong and Cheng, Jianlin and Altenhoff, Adrian and Skunca, Nives and Dessimoz, Christophe and Dogan, Tunca and Hakala, Kai and Kaewphan, Suwisa and Mehryary, Farrokh and Salakoski, Tapio and Ginter, Filip and Fang, Hai and Smithers, Ben and Oates, Matt and Gough, Julian and T{\"o}r{\"o}nen, Petri and Koskinen, Patrik and Holm, Liisa and Chen, Ching-Tai and Hsu, Wen-Lian and Bryson, Kevin and Cozzetto, Domenico and Minneci, Federico and Jones, David T. and Chapman, Samuel and BKC, Dukka and Khan, Ishita K. and Kihara, Daisuke and Ofer, Dan and Rappoport, Nadav and Stern, Amos and Cibrian-Uhalte, Elena and Denny, Paul and Foulger, Rebecca E. and Hieta, Reija and Legge, Duncan and Lovering, Ruth C. and Magrane, Michele and Melidoni, Anna N. and Mutowo-Meullenet, Prudence and Pichler, Klemens and Shypitsyna, Aleksandra and Li, Biao and Zakeri, Pooya and ElShal, Sarah and Tranchevent, L{\´e}on-Charles and Das, Sayoni and Dawson, Natalie L. and Lee, David and Lees, Jonathan G. and Sillitoe, Ian and Bhat, Prajwal and Nepusz, Tam{\´a}s and Romero, Alfonso E. and Sasidharan, Rajkumar and Yang, Haixuan and Paccanaro, Alberto and Gillis, Jesse and Sede{\~n}o-Cort{\´e}s, Adriana E. and Pavlidis, Paul and Feng, Shou and Cejuela, Juan M. and Goldberg, Tatyana and Hamp, Tobias and Richter, Lothar and Salamov, Asaf and Gabaldon, Toni and Marcet-Houben, Marina and Supek, Fran and Gong, Qingtian and Ning, Wei and Zhou, Yuanpeng and Tian, Weidong and Falda, Marco and Fontana, Paolo and Lavezzo, Enrico and Toppo, Stefano and Ferrari, Carlo and Giollo, Manuel and Piovesan, Damiano and Tosatto, Silvio C. E. and del Pozo, Angela and Fern{\´a}ndez, Jos{\´e} M. and Maietta, Paolo and Valencia, Alfonso and Tress, Michael L. and Benso, Alfredo and Di Carlo, Stefano and Politano, Gianfranco and Savino, Alessandro and Rehman, Hafeez Ur and Re, Matteo and Mesiti, Marco and Valentini, Giorgio and Bargsten, Joachim W. and van Dijk, Aalt D. J. and Gemovic, Branislava and Glisic, Sanja and Perovic, Vladmir and Veljkovic, Veljko and Almeida-e-Silva, Danillo C. and Vencio, Ricardo Z. N. and Sharan, Malvika and Vogel, J{\"o}rg and Kansakar, Lakesh and Zhang, Shanshan and Vucetic, Slobodan and Wang, Zheng and Sternberg, Michael J. E. and Wass, Mark N. and Huntley, Rachael P. and Martin, Maria J. and O'Donovan, Claire and Robinson, Peter N. and Moreau, Yves and Tramontano, Anna and Babbitt, Patricia C. and Brenner, Steven E. and Linial, Michal and Orengo, Christine A. and Rost, Burkhard and Greene, Casey S. and Mooney, Sean D. and Friedberg, Iddo and Radivojac, Predrag and Veljkovic, Nevena}, title = {An expanded evaluation of protein function prediction methods shows an improvement in accuracy}, series = {Genome Biology}, volume = {17}, journal = {Genome Biology}, number = {184}, doi = {10.1186/s13059-016-1037-6}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-166293}, year = {2016}, abstract = {Background A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent.}, language = {en} } @article{MaCalvoWangetal.2015, author = {Ma, Eric Yue and Calvo, M. Reyes and Wang, Jing and Lian, Biao and M{\"u}hlbauer, Mathias and Br{\"u}ne, Christoph and Cui, Yong-Tao and Lai, Keji and Kundhikanjana, Worasom and Yang, Yongliang and Baenninger, Matthias and K{\"o}nig, Markus and Ames, Christopher and Buhmann, Hartmut and Leubner, Philipp and Molenkamp, Laurens W. and Zhang, Shou-Cheng and Goldhaber-Gordon, David and Kelly, Michael A. and Shen, Zhi-Xun}, title = {Unexpected edge conduction in mercury telluride quantum wells under broken time-reversal symmetry}, series = {Nature Communications}, volume = {6}, journal = {Nature Communications}, number = {7252}, doi = {10.1038/ncomms8252}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-143185}, year = {2015}, abstract = {The realization of quantum spin Hall effect in HgTe quantum wells is considered a milestone in the discovery of topological insulators. Quantum spin Hall states are predicted to allow current flow at the edges of an insulating bulk, as demonstrated in various experiments. A key prediction yet to be experimentally verified is the breakdown of the edge conduction under broken time-reversal symmetry. Here we first establish a systematic framework for the magnetic field dependence of electrostatically gated quantum spin Hall devices. We then study edge conduction of an inverted quantum well device under broken time-reversal symmetry using microwave impedance microscopy, and compare our findings to a noninverted device. At zero magnetic field, only the inverted device shows clear edge conduction in its local conductivity profile, consistent with theory. Surprisingly, the edge conduction persists up to 9 T with little change. This indicates physics beyond simple quantum spin Hall model, including material-specific properties and possibly many-body effects.}, language = {en} } @article{BrosinskyLeisterChengetal.2022, author = {Brosinsky, Paulin and Leister, Hanna and Cheng, Nan and Varelas, Xaralabos and Visekruna, Alexander and Luu, Maik}, title = {Verteporfin protects against Th17 cell-mediated EAE independently of YAP inhibition}, series = {European Journal of Immunology}, volume = {52}, journal = {European Journal of Immunology}, number = {9}, doi = {10.1002/eji.202149564}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-287234}, pages = {1523 -- 1526}, year = {2022}, abstract = {The known YAP inhibitor verteporfin is capable of repressing IL-17A production in Th17 cells. However, this effect is mediated independently of YAP and can ameliorate Th17-mediated experimental autoimmune encephalomyelitis (EAE) upon in vivo administration. The data suggest verteprofin's mode of action for the design of novel therapeutic autoimmune disease intervention.}, language = {en} } @article{MaichlKirnerBecketal.2023, author = {Maichl, Daniela Simone and Kirner, Julius Arthur and Beck, Susanne and Cheng, Wen-Hui and Krug, Melanie and Kuric, Martin and Ade, Carsten Patrick and Bischler, Thorsten and Jakob, Franz and Hose, Dirk and Seckinger, Anja and Ebert, Regina and Jundt, Franziska}, title = {Identification of NOTCH-driven matrisome-associated genes as prognostic indicators of multiple myeloma patient survival}, series = {Blood Cancer Journal}, volume = {13}, journal = {Blood Cancer Journal}, doi = {10.1038/s41408-023-00907-6}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357598}, year = {2023}, abstract = {No abstract available.}, language = {en} } @article{HaakeHaackSchaeferetal.2023, author = {Haake, Markus and Haack, Beatrice and Sch{\"a}fer, Tina and Harter, Patrick N. and Mattavelli, Greta and Eiring, Patrick and Vashist, Neha and Wedekink, Florian and Genssler, Sabrina and Fischer, Birgitt and Dahlhoff, Julia and Mokhtari, Fatemeh and Kuzkina, Anastasia and Welters, Marij J. P. and Benz, Tamara M. and Sorger, Lena and Thiemann, Vincent and Almanzar, Giovanni and Selle, Martina and Thein, Klara and Sp{\"a}th, Jacob and Gonzalez, Maria Cecilia and Reitinger, Carmen and Ipsen-Escobedo, Andrea and Wistuba-Hamprecht, Kilian and Eichler, Kristin and Filipski, Katharina and Zeiner, Pia S. and Beschorner, Rudi and Goedemans, Renske and Gogolla, Falk Hagen and Hackl, Hubert and Rooswinkel, Rogier W. and Thiem, Alexander and Romer Roche, Paula and Joshi, Hemant and P{\"u}hringer, Dirk and W{\"o}ckel, Achim and Diessner, Joachim E. and R{\"u}diger, Manfred and Leo, Eugen and Cheng, Phil F. and Levesque, Mitchell P. and Goebeler, Matthias and Sauer, Markus and Nimmerjahn, Falk and Schuberth-Wagner, Christine and Felten, Stefanie von and Mittelbronn, Michel and Mehling, Matthias and Beilhack, Andreas and van der Burg, Sjoerd H. and Riedel, Angela and Weide, Benjamin and Dummer, Reinhard and Wischhusen, J{\"o}rg}, title = {Tumor-derived GDF-15 blocks LFA-1 dependent T cell recruitment and suppresses responses to anti-PD-1 treatment}, series = {Nature Communications}, volume = {14}, journal = {Nature Communications}, doi = {10.1038/s41467-023-39817-3}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357333}, year = {2023}, abstract = {Immune checkpoint blockade therapy is beneficial and even curative for some cancer patients. However, the majority don't respond to immune therapy. Across different tumor types, pre-existing T cell infiltrates predict response to checkpoint-based immunotherapy. Based on in vitro pharmacological studies, mouse models and analyses of human melanoma patients, we show that the cytokine GDF-15 impairs LFA-1/β2-integrin-mediated adhesion of T cells to activated endothelial cells, which is a pre-requisite of T cell extravasation. In melanoma patients, GDF-15 serum levels strongly correlate with failure of PD-1-based immune checkpoint blockade therapy. Neutralization of GDF-15 improves both T cell trafficking and therapy efficiency in murine tumor models. Thus GDF-15, beside its known role in cancer-related anorexia and cachexia, emerges as a regulator of T cell extravasation into the tumor microenvironment, which provides an even stronger rationale for therapeutic anti-GDF-15 antibody development.}, language = {en} }