TY - JOUR A1 - Wolf, Matthias A1 - Chen, Shilin A1 - Song, Jingyuan A1 - Ankenbrand, Markus A1 - Müller, Tobias T1 - Compensatory Base Changes in ITS2 Secondary Structures Correlate with the Biological Species Concept Despite Intragenomic Variability in ITS2 Sequences – A Proof of Concept JF - PLoS ONE N2 - Compensatory base changes (CBCs) in internal transcribed spacer 2 (ITS2) rDNA secondary structures correlate with Ernst Mayr’s biological species concept. This hypothesis also referred to as the CBC species concept recently was subjected to large-scale testing, indicating two distinct probabilities. (1) If there is a CBC then there are two different species with a probability of ~0.93. (2) If there is no CBC then there is the same species with a probability of ~0.76. In ITS2 research, however, the main problem is the multicopy nature of ITS2 sequences. Most recently, 454 pyrosequencing data have been used to characterize more than 5000 intragenomic variations of ITS2 regions from 178 plant species, demonstrating that mutation of ITS2 is frequent, with a mean of 35 variants per species, respectively per individual organism. In this study, using those 454 data, the CBC criterion is reconsidered in the light of intragenomic variability, a proof of concept, a necessary criterion, expecting no intragenomic CBCs in variant ITS2 copies. In accordance with the CBC species concept, we could demonstrate that the probability that there is no intragenomic CBC is ~0.99. KW - citrus KW - concerted evolution KW - DNA sequences KW - Genome evolution KW - Phylogenetics KW - plant evolution KW - sequence alignment KW - sequence databases Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-96450 ER - TY - JOUR A1 - Wilde, Anne-Christin Beatrice A1 - Lieb, Charlotte A1 - Leicht, Elise A1 - Greverath, Lena Maria A1 - Steinhagen, Lara Marleen A1 - Wald de Chamorro, Nina A1 - Petersen, Jörg A1 - Hofmann, Wolf Peter A1 - Hinrichsen, Holger A1 - Heyne, Renate A1 - Berg, Thomas A1 - Naumann, Uwe A1 - Schwenzer, Jeannette A1 - Vermehren, Johannes A1 - Geier, Andreas A1 - Tacke, Frank A1 - Müller, Tobias T1 - Real-world clinical management of patients with primary biliary cholangitis — a retrospective multicenter study from Germany JF - Journal of Clinical Medicine N2 - Background: Clinical practice guidelines for patients with primary biliary cholangitis (PBC) have been recently revised and implemented for well-established response criteria to standard first-line ursodeoxycholic acid (UDCA) therapy at 12 months after treatment initiation for the early identification of high-risk patients with inadequate treatment responses who may require treatment modification. However, there are only very limited data concerning the real-world clinical management of patients with PBC in Germany. Objective: The aim of this retrospective multicenter study was to evaluate response rates to standard first-line UDCA therapy and subsequent Second-line treatment regimens in a large cohort of well-characterized patients with PBC from 10 independent hepatological referral centers in Germany prior to the introduction of obeticholic acid as a licensed second-line treatment option. Methods: Diagnostic confirmation of PBC, standard first-line UDCA treatment regimens and response rates at 12 months according to Paris-I, Paris-II, and Barcelona criteria, the follow-up cut-off alkaline phosphatase (ALP) ≤ 1.67 × upper limit of normal (ULN) and the normalization of bilirubin (bilirubin ≤ 1 × ULN) were retrospectively examined between June 1986 and March 2017. The management and hitherto applied second-line treatment regimens in patients with an inadequate response to UDCA and subsequent response rates at 12 months were also evaluated. Results: Overall, 480 PBC patients were included in this study. The median UDCA dosage was 13.2 mg UDCA/kg bodyweight (BW)/d. Adequate UDCA treatment response rates according to Paris-I, Paris-II, and Barcelona criteria were observed in 91, 71.3, and 61.3% of patients, respectively. In 83.8% of patients, ALP ≤ 1.67 × ULN were achieved. A total of 116 patients (24.2%) showed an inadequate response to UDCA according to at least one criterion. The diverse second-line treatment regimens applied led to significantly higher response rates according to Paris-II (35 vs. 60%, p = 0.005), Barcelona (13 vs. 34%, p = 0.0005), ALP ≤ 1.67 × ULN and bilirubin ≤ 1 × ULN (52.1 vs. 75%, p = 0.002). The addition of bezafibrates appeared to induce the strongest beneficial effect in this cohort (Paris II: 24 vs. 74%, p = 0.004; Barcelona: 50 vs. 84%, p = 0.046; ALP < 1.67 × ULN and bilirubin ≤ 1 × ULN: 33 vs. 86%, p = 0.001). Conclusion: Our large retrospective multicenter study confirms high response rates following UDCA first-line standard treatment in patients with PBC and highlights the need for close monitoring and early treatment modification in high-risk patients with an insufficient response to UDCA since early treatment modification significantly increases subsequent response rates of these patients. KW - primary biliary cholangitis KW - autoantibodies KW - ursodeoxycholic acid KW - treatment response KW - second line therapy Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-234003 SN - 2077-0383 VL - 10 IS - 5 ER - TY - JOUR A1 - Urban, Lara A1 - Remmele, Christian W. A1 - Dittrich, Marcus A1 - Schwarz, Roland F. A1 - Müller, Tobias T1 - covRNA: discovering covariate associations in large-scale gene expression data JF - BMC Reserach Notes N2 - Objective The biological interpretation of gene expression measurements is a challenging task. While ordination methods are routinely used to identify clusters of samples or co-expressed genes, these methods do not take sample or gene annotations into account. We aim to provide a tool that allows users of all backgrounds to assess and visualize the intrinsic correlation structure of complex annotated gene expression data and discover the covariates that jointly affect expression patterns. Results The Bioconductor package covRNA provides a convenient and fast interface for testing and visualizing complex relationships between sample and gene covariates mediated by gene expression data in an entirely unsupervised setting. The relationships between sample and gene covariates are tested by statistical permutation tests and visualized by ordination. The methods are inspired by the fourthcorner and RLQ analyses used in ecological research for the analysis of species abundance data, that we modified to make them suitable for the distributional characteristics of both, RNA-Seq read counts and microarray intensities, and to provide a high-performance parallelized implementation for the analysis of large-scale gene expression data on multi-core computational systems. CovRNA provides additional modules for unsupervised gene filtering and plotting functions to ensure a smooth and coherent analysis workflow. KW - Multivariate analysis KW - Fourthcorner analysis KW - RLQ analysis KW - Transcriptomics KW - High-throughput data KW - Visualization KW - Ordination methods KW - RNA-Seq analysis KW - Microarray analysis Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-229258 VL - 13 ER - TY - JOUR A1 - Staiger, Christine A1 - Cadot, Sidney A1 - Kooter, Raul A1 - Dittrich, Marcus A1 - Müller, Tobias A1 - Klau, Gunnar W. A1 - Wessels, Lodewyk F. A. T1 - A Critical Evaluation of Network and Pathway-Based Classifiers for Outcome Prediction in Breast Cancer JF - PLoS One N2 - Recently, several classifiers that combine primary tumor data, like gene expression data, and secondary data sources, such as protein-protein interaction networks, have been proposed for predicting outcome in breast cancer. In these approaches, new composite features are typically constructed by aggregating the expression levels of several genes. The secondary data sources are employed to guide this aggregation. Although many studies claim that these approaches improve classification performance over single genes classifiers, the gain in performance is difficult to assess. This stems mainly from the fact that different breast cancer data sets and validation procedures are employed to assess the performance. Here we address these issues by employing a large cohort of six breast cancer data sets as benchmark set and by performing an unbiased evaluation of the classification accuracies of the different approaches. Contrary to previous claims, we find that composite feature classifiers do not outperform simple single genes classifiers. We investigate the effect of (1) the number of selected features; (2) the specific gene set from which features are selected; (3) the size of the training set and (4) the heterogeneity of the data set on the performance of composite feature and single genes classifiers. Strikingly, we find that randomization of secondary data sources, which destroys all biological information in these sources, does not result in a deterioration in performance of composite feature classifiers. Finally, we show that when a proper correction for gene set size is performed, the stability of single genes sets is similar to the stability of composite feature sets. Based on these results there is currently no reason to prefer prognostic classifiers based on composite features over single genes classifiers for predicting outcome in breast cancer. KW - modules KW - protein-interaction networks KW - expression signature KW - classification KW - set KW - metastasis KW - stability KW - survival KW - database KW - markers Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-131323 VL - 7 IS - 4 ER - TY - JOUR A1 - Schneider, Eberhard A1 - Dittrich, Marcus A1 - Böck, Julia A1 - Nanda, Indrajit A1 - Müller, Tobias A1 - Seidmann, Larissa A1 - Tralau, Tim A1 - Galetzka, Danuta A1 - El Hajj, Nady A1 - Haaf, Thomas T1 - CpG sites with continuously increasing or decreasing methylation from early to late human fetal brain development JF - Gene N2 - Normal human brain development is dependent on highly dynamic epigenetic processes for spatial and temporal gene regulation. Recent work identified wide-spread changes in DNA methylation during fetal brain development. We profiled CpG methylation in frontal cortex of 27 fetuses from gestational weeks 12-42, using Illumina 450K methylation arrays. Sites showing genome-wide significant correlation with gestational age were compared to a publicly available data set from gestational weeks 3-26. Altogether, we identified 2016 matching developmentally regulated differentially methylated positions (m-dDMPs): 1767 m-dDMPs were hypermethylated and 1149 hypomethylated during fetal development. M-dDMPs are underrepresented in CpG islands and gene promoters, and enriched in gene bodies. They appear to cluster in certain chromosome regions. M-dDMPs are significantly enriched in autism-associated genes and CpGs. Our results promote the idea that reduced methylation dynamics during fetal brain development may predispose to autism. In addition, m-dDMPs are enriched in genes with human-specific brain expression patterns and/or histone modifications. Collectively, we defined a subset of dDMPs exhibiting constant methylation changes from early to late pregnancy. The same epigenetic mechanisms involving methylation changes in cis-regulatory regions may have been adopted for human brain evolution and ontogeny. KW - Autism spectrum disorders KW - DNA methylation KW - Genome KW - Autism KW - Frontal cortex KW - Human prefrontal cortex KW - Gene-expression KW - Schizophrenia KW - Patterns KW - Transcription KW - Epigenetics KW - Environment KW - Fetal brain development KW - DNA methylation dynamics KW - Methylome Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-186936 VL - 592 IS - 1 ER - TY - JOUR A1 - Remmele, Christian W. A1 - Xian, Yibo A1 - Albrecht, Marco A1 - Faulstich, Michaela A1 - Fraunholz, Martin A1 - Heinrichs, Elisabeth A1 - Dittrich, Marcus T. A1 - Müller, Tobias A1 - Reinhardt, Richard A1 - Rudel, Thomas T1 - Transcriptional landscape and essential genes of Neisseria gonorrhoeae N2 - The WHO has recently classified Neisseria gonorrhoeae as a super-bacterium due to the rapid spread of antibiotic resistant derivatives and an overall dramatic increase in infection incidences. Genome sequencing has identified potential genes, however, little is known about the transcriptional organization and the presence of non-coding RNAs in gonococci. We performed RNA sequencing to define the transcriptome and the transcriptional start sites of all gonococcal genes and operons. Numerous new transcripts including 253 potentially non-coding RNAs transcribed from intergenic regions or antisense to coding genes were identified. Strikingly, strong antisense transcription was detected for the phase-variable opa genes coding for a family of adhesins and invasins in pathogenic Neisseria, that may have regulatory functions. Based on the defined transcriptional start sites, promoter motifs were identified. We further generated and sequenced a high density Tn5 transposon library to predict a core of 827 gonococcal essential genes, 133 of which have no known function. Our combined RNA-Seq and Tn-Seq approach establishes a detailed map of gonococcal genes and defines the first core set of essential gonococcal genes. KW - Neisseria gonorrhoeae Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-113676 ER - TY - JOUR A1 - Remmele, Christian W. A1 - Luther, Christian H. A1 - Balkenhol, Johannes A1 - Dandekar, Thomas A1 - Müller, Tobias A1 - Dittrich, Marcus T. T1 - Integrated inference and evaluation of host-fungi interaction networks JF - Frontiers in Microbiology N2 - Fungal microorganisms frequently lead to life-threatening infections. Within this group of pathogens, the commensal Candida albicans and the filamentous fungus Aspergillus fumigatus are by far the most important causes of invasive mycoses in Europe. A key capability for host invasion and immune response evasion are specific molecular interactions between the fungal pathogen and its human host. Experimentally validated knowledge about these crucial interactions is rare in literature and even specialized host pathogen databases mainly focus on bacterial and viral interactions whereas information on fungi is still sparse. To establish large-scale host fungi interaction networks on a systems biology scale, we develop an extended inference approach based on protein orthology and data on gene functions. Using human and yeast intraspecies networks as template, we derive a large network of pathogen host interactions (PHI). Rigorous filtering and refinement steps based on cellular localization and pathogenicity information of predicted interactors yield a primary scaffold of fungi human and fungi mouse interaction networks. Specific enrichment of known pathogenicity-relevant genes indicates the biological relevance of the predicted PHI. A detailed inspection of functionally relevant subnetworks reveals novel host fungal interaction candidates such as the Candida virulence factor PLB1 and the anti-fungal host protein APP. Our results demonstrate the applicability of interolog-based prediction methods for host fungi interactions and underline the importance of filtering and refinement steps to attain biologically more relevant interactions. This integrated network framework can serve as a basis for future analyses of high-throughput host fungi transcriptome and proteome data. KW - candida genome database KW - computational prediction KW - potential role KW - network inference KW - bioinformatics and computational biology KW - protein interaction database KW - Aspergillus fumigatus KW - cell wall KW - functional modules KW - alzheimers disease KW - molecular cloning KW - Candida albicans KW - pathogen-host interaction (PHI) KW - protein-protein interaction KW - pathogenicity KW - interolog Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-148278 VL - 6 IS - 764 ER - TY - JOUR A1 - Rau, Monika A1 - Buggisch, Peter A1 - Mauss, Stefan A1 - Boeker, Klaus H. W. A1 - Klinker, Hartwig A1 - Müller, Tobias A1 - Stoehr, Albrecht A1 - Schattenberg, Jörn M. A1 - Geier, Andreas T1 - Prognostic impact of steatosis in the clinical course of chronic HCV infection-Results from the German Hepatitis C-Registry JF - PLoS ONE N2 - Background Liver steatosis is often observed in chronic HCV infection and associated to genotype or comorbidities. NAFLD is an important risk factor for end-stage liver disease. We aimed to analyse the course of NAFLD as a concomitant disease in a cohort of HCV patients. Methods The German Hepatitis C-Registry is a national multicenter real-world cohort. In the current analysis, 8789 HCV patients were included and separated based on the presence of steatosis on ultrasound and/or histology. Fibrosis progression was assessed by transient elastography (TE), ultrasound or non-invasive surrogate scores. Results At the time of study inclusion 12.3% (n = 962) of HCV patients presented with steatosis (+S) (higher rate in GT-3). Diabetes mellitus was more frequent in GT-1 patients. HCV patients without steatosis (-S) had a slightly higher rate of fibrosis progression (FP) over time (30.3%) in contrast to HCV patients +S (26%). This effect was mainly observed in GT-3 patients (34.4% vs. 20.6%). A larger decrease of ALT, AST and GGT from baseline to FU-1 (4–24 weeks after EOT) was found in HCV patients (without FP) +S compared to -S. HCV patients -S and with FP presented more often metabolic comorbidities with a significantly higher BMI (+0.58kg/m\(^{2}\)) compared to patients -S without FP. This was particularly pronounced in patients with abnormal ALT. Conclusion Clinically diagnosed steatosis in HCV patients does not seem to contribute to significant FP in this unique cohort. The low prevalence of steatosis could reflect a lower awareness of fatty liver in HCV patients, as patients -S and with FP presented more metabolic risk factors. KW - steatosis KW - HCV infection KW - liver Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-300549 VL - 17 IS - 6 ER - TY - JOUR A1 - Morton, Charles Oliver A1 - Fliesser, Mirjam A1 - Dittrich, Marcus A1 - Müller, Tobias A1 - Bauer, Ruth A1 - Kneitz, Susanne A1 - Hope, William A1 - Rogers, Thomas Richard A1 - Einsele, Hermann A1 - Löffler, Jürgen T1 - Gene Expression Profiles of Human Dendritic Cells Interacting with Aspergillus fumigatus in a Bilayer Model of the Alveolar Epithelium/Endothelium Interface N2 - The initial stages of the interaction between the host and Aspergillus fumigatus at the alveolar surface of the human lung are critical in the establishment of aspergillosis. Using an in vitro bilayer model of the alveolus, including both the epithelium (human lung adenocarcinoma epithelial cell line, A549) and endothelium (human pulmonary artery epithelial cells, HPAEC) on transwell membranes, it was possible to closely replicate the in vivo conditions. Two distinct sub-groups of dendritic cells (DC), monocyte-derived DC (moDC) and myeloid DC (mDC), were included in the model to examine immune responses to fungal infection at the alveolar surface. RNA in high quantity and quality was extracted from the cell layers on the transwell membrane to allow gene expression analysis using tailored custom-made microarrays, containing probes for 117 immune-relevant genes. This microarray data indicated minimal induction of immune gene expression in A549 alveolar epithelial cells in response to germ tubes of A. fumigatus. In contrast, the addition of DC to the system greatly increased the number of differentially expressed immune genes. moDC exhibited increased expression of genes including CLEC7A, CD209 and CCL18 in the absence of A. fumigatus compared to mDC. In the presence of A. fumigatus, both DC subgroups exhibited up-regulation of genes identified in previous studies as being associated with the exposure of DC to A. fumigatus and exhibiting chemotactic properties for neutrophils, including CXCL2, CXCL5, CCL20, and IL1B. This model closely approximated the human alveolus allowing for an analysis of the host pathogen interface that complements existing animal models of IA. KW - aspergillus fumigatus KW - gene expression KW - immune receptors KW - immune response KW - denritic cells KW - B cell receptors KW - gene regulation KW - RNA extraction Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-112893 ER - TY - JOUR A1 - Merget, Benjamin A1 - Koetschan, Christian A1 - Hackl, Thomas A1 - Förster, Frank A1 - Dandekar, Thomas A1 - Müller, Tobias A1 - Schultz, Jörg A1 - Wolf, Matthias T1 - The ITS2 Database JF - Journal of Visual Expression N2 - The internal transcribed spacer 2 (ITS2) has been used as a phylogenetic marker for more than two decades. As ITS2 research mainly focused on the very variable ITS2 sequence, it confined this marker to low-level phylogenetics only. However, the combination of the ITS2 sequence and its highly conserved secondary structure improves the phylogenetic resolution1 and allows phylogenetic inference at multiple taxonomic ranks, including species delimitation. The ITS2 Database presents an exhaustive dataset of internal transcribed spacer 2 sequences from NCBI GenBank accurately reannotated. Following an annotation by profile Hidden Markov Models (HMMs), the secondary structure of each sequence is predicted. First, it is tested whether a minimum energy based fold (direct fold) results in a correct, four helix conformation. If this is not the case, the structure is predicted by homology modeling. In homology modeling, an already known secondary structure is transferred to another ITS2 sequence, whose secondary structure was not able to fold correctly in a direct fold. The ITS2 Database is not only a database for storage and retrieval of ITS2 sequence-structures. It also provides several tools to process your own ITS2 sequences, including annotation, structural prediction, motif detection and BLAST search on the combined sequence-structure information. Moreover, it integrates trimmed versions of 4SALE and ProfDistS for multiple sequence-structure alignment calculation and Neighbor Joining tree reconstruction. Together they form a coherent analysis pipeline from an initial set of sequences to a phylogeny based on sequence and secondary structure. In a nutshell, this workbench simplifies first phylogenetic analyses to only a few mouse-clicks, while additionally providing tools and data for comprehensive large-scale analyses. KW - homology modeling KW - molecular systematics KW - internal transcribed spacer 2 KW - alignment KW - genetics KW - secondary structure KW - ribosomal RNA KW - phylogenetic tree KW - phylogeny Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-124600 VL - 61 IS - e3806 ER -