@article{OmidbakhshfardWinckArvidssonetal.2014,
  author    = {Omidbakhshfard, Mohammad Amin and Winck, Flavia Vischi and Arvidsson, Samuel Janne and Riano-Pachon, Diego M. and M{\"u}ller-R{\"o}ber, Bernd},
  title     = {A step-by-step protocol for formaldehyde-assisted isolation of regulatory elements from Arabidopsis thaliana},
  series = {Journal of integrative plant biology},
  volume    = {56},
  journal   = {Journal of integrative plant biology},
  number    = {6},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {1672-9072},
  doi       = {10.1111/jipb.12151},
  pages     = {527 -- 538},
  year      = {2014},
  abstract  = {The control of gene expression by transcriptional regulators and other types of functionally relevant DNA transactions such as chromatin remodeling and replication underlie a vast spectrum of biological processes in all organisms. DNA transactions require the controlled interaction of proteins with DNA sequence motifs which are often located in nucleosome-depleted regions (NDRs) of the chromatin. Formaldehyde-assisted isolation of regulatory elements (FAIRE) has been established as an easy-to-implement method for the isolation of NDRs from a number of eukaryotic organisms, and it has been successfully employed for the discovery of new regulatory segments in genomic DNA from, for example, yeast, Drosophila, and humans. Until today, however, FAIRE has only rarely been employed in plant research and currently no detailed FAIRE protocol for plants has been published. Here, we provide a step-by-step FAIRE protocol for NDR discovery in Arabidopsis thaliana. We demonstrate that NDRs isolated from plant chromatin are readily amenable to quantitative polymerase chain reaction and next-generation sequencing. Only minor modification of the FAIRE protocol will be needed to adapt it to other plants, thus facilitating the global inventory of regulatory regions across species.},
  language  = {en}
}
@phdthesis{Daub2004,
  author    = {Daub, Carsten Oliver},
  title     = {Analysis of integrated transcriptomics and metabolomics data : a systems biology approach},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-0001251},
  school      = {Universit{\"a}t Potsdam},
  year      = {2004},
  abstract  = {Moderne Hochdurchsatzmethoden erlauben die Messung einer Vielzahl von komplement{\"a}ren Daten und implizieren die Existenz von regulativen Netzwerken auf einem systembiologischen Niveau. Ein {\"u}blicher Ansatz zur Rekonstruktion solcher Netzwerke stellt die Clusteranalyse dar, die auf einem {\"A}hnlichkeitsmaß beruht. Wir verwenden das informationstheoretische Konzept der wechselseitigen Information, das urspr{\"u}nglich f{\"u}r diskrete Daten definiert ist, als {\"A}hnlichkeitsmaß und schlagen eine Erweiterung eines f{\"u}r gew{\"o}hnlich f{\"u}r die Anwendung auf kontinuierliche biologische Daten verwendeten Algorithmus vor. Wir vergleichen unseren Ansatz mit bereits existierenden Algorithmen. Wir entwickeln ein geschwindigkeitsoptimiertes Computerprogramm f{\"u}r die Anwendung der wechselseitigen Information auf große Datens{\"a}tze. Weiterhin konstruieren und implementieren wir einen web-basierten Dienst fuer die Analyse von integrierten Daten, die durch unterschiedliche Messmethoden gemessen wurden. Die Anwendung auf biologische Daten zeigt biologisch relevante Gruppierungen, und rekonstruierte Signalnetzwerke zeigen {\"U}bereinstimmungen mit physiologischen Erkenntnissen.},
  language  = {en}
}
@article{KlieNikoloskiSelbig2014,
  author    = {Klie, Sebastian and Nikoloski, Zoran and Selbig, Joachim},
  title     = {Biological cluster evaluation for gene function prediction},
  series = {Journal of computational biology},
  volume    = {21},
  journal   = {Journal of computational biology},
  number    = {6},
  publisher = {Liebert},
  address   = {New Rochelle},
  issn      = {1066-5277},
  doi       = {10.1089/cmb.2009.0129},
  pages     = {428 -- 445},
  year      = {2014},
  abstract  = {Recent advances in high-throughput omics techniques render it possible to decode the function of genes by using the "guilt-by-association" principle on biologically meaningful clusters of gene expression data. However, the existing frameworks for biological evaluation of gene clusters are hindered by two bottleneck issues: (1) the choice for the number of clusters, and (2) the external measures which do not take in consideration the structure of the analyzed data and the ontology of the existing biological knowledge. Here, we address the identified bottlenecks by developing a novel framework that allows not only for biological evaluation of gene expression clusters based on existing structured knowledge, but also for prediction of putative gene functions. The proposed framework facilitates propagation of statistical significance at each of the following steps: (1) estimating the number of clusters, (2) evaluating the clusters in terms of novel external structural measures, (3) selecting an optimal clustering algorithm, and (4) predicting gene functions. The framework also includes a method for evaluation of gene clusters based on the structure of the employed ontology. Moreover, our method for obtaining a probabilistic range for the number of clusters is demonstrated valid on synthetic data and available gene expression profiles from Saccharomyces cerevisiae. Finally, we propose a network-based approach for gene function prediction which relies on the clustering of optimal score and the employed ontology. Our approach effectively predicts gene function on the Saccharomyces cerevisiae data set and is also employed to obtain putative gene functions for an Arabidopsis thaliana data set.},
  language  = {en}
}
@misc{SrivastavaMurugaiyanGarciaetal.2020,
  author    = {Srivastava, Abhishek and Murugaiyan, Jayaseelan and Garcia, Juan A. L. and De Corte, Daniele and Hoetzinger, Matthias and Eravci, Murat and Weise, Christoph and Kumar, Yadhu and Roesler, Uwe and Hahn, Martin W. and Grossart, Hans-Peter},
  title     = {Combined Methylome, Transcriptome and Proteome Analyses Document Rapid Acclimatization of a Bacterium to Environmental Changes},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe},
  number    = {1011},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-48199},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-481993},
  pages     = {23},
  year      = {2020},
  abstract  = {Polynucleobacter asymbioticus strain QLW-P1DMWA-1T represents a group of highly successful heterotrophic ultramicrobacteria that is frequently very abundant (up to 70\% of total bacterioplankton) in freshwater habitats across all seven continents. This strain was originally isolated from a shallow Alpine pond characterized by rapid changes in water temperature and elevated UV radiation due to its location at an altitude of 1300 m. To elucidate the strain's adjustment to fluctuating environmental conditions, we recorded changes occurring in its transcriptomic and proteomic profiles under contrasting experimental conditions by simulating thermal conditions in winter and summer as well as high UV irradiation. To analyze the potential connection between gene expression and regulation via methyl group modification of the genome, we also analyzed its methylome. The methylation pattern differed between the three treatments, pointing to its potential role in differential gene expression. An adaptive process due to evolutionary pressure in the genus was deduced by calculating the ratios of non-synonymous to synonymous substitution rates for 20 Polynucleobacter spp. genomes obtained from geographically diverse isolates. The results indicate purifying selection.},
  language  = {en}
}
@article{SrivastavaMurugaiyanGarciaetal.2020,
  author    = {Srivastava, Abhishek and Murugaiyan, Jayaseelan and Garcia, Juan A. L. and De Corte, Daniele and Hoetzinger, Matthias and Eravci, Murat and Weise, Christoph and Kumar, Yadhu and Roesler, Uwe and Hahn, Martin W. and Grossart, Hans-Peter},
  title     = {Combined Methylome, Transcriptome and Proteome Analyses Document Rapid Acclimatization of a Bacterium to Environmental Changes},
  series = {Frontiers in Microbiology},
  volume    = {11},
  journal   = {Frontiers in Microbiology},
  publisher = {Frontiers Media},
  address   = {Lausanne},
  issn      = {1664-302X},
  doi       = {10.3389/fmicb.2020.544785},
  pages     = {21},
  year      = {2020},
  abstract  = {Polynucleobacter asymbioticus strain QLW-P1DMWA-1T represents a group of highly successful heterotrophic ultramicrobacteria that is frequently very abundant (up to 70\% of total bacterioplankton) in freshwater habitats across all seven continents. This strain was originally isolated from a shallow Alpine pond characterized by rapid changes in water temperature and elevated UV radiation due to its location at an altitude of 1300 m. To elucidate the strain's adjustment to fluctuating environmental conditions, we recorded changes occurring in its transcriptomic and proteomic profiles under contrasting experimental conditions by simulating thermal conditions in winter and summer as well as high UV irradiation. To analyze the potential connection between gene expression and regulation via methyl group modification of the genome, we also analyzed its methylome. The methylation pattern differed between the three treatments, pointing to its potential role in differential gene expression. An adaptive process due to evolutionary pressure in the genus was deduced by calculating the ratios of non-synonymous to synonymous substitution rates for 20 Polynucleobacter spp. genomes obtained from geographically diverse isolates. The results indicate purifying selection.},
  language  = {en}
}
@phdthesis{Boeuf2002,
  author    = {Boeuf, St{\´e}phane},
  title     = {Comparative study of gene expression during the differentiation of white and brown preadipocytes},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-0000542},
  school      = {Universit{\"a}t Potsdam},
  year      = {2002},
  abstract  = {Einleitung S{\"a}ugetiere haben zwei verschiedene Arten von Fettgewebe: das weiße Fettgewebe, welches vorwiegend zur Lipidspeicherung dient, und das braune Fettgewebe, welches sich durch seine F{\"a}higkeit zur zitterfreien Thermogenese auszeichnet. Weiße und braune Adipozyten sind beide mesodermalen Ursprungs. Die Mechanismen, die zur Entwicklung von Vorl{\"a}uferzellen in den weißen oder braunen Fettzellphenotyp f{\"u}hren, sind jedoch unbekannt. Durch verschiedene experimentelle Ans{\"a}tze konnte gezeigt werden, daß diese Adipocyten vermutlich durch die Differenzierung zweier Typen unterschiedlicher Vorl{\"a}uferzellen entstehen: weiße und braune Preadipozyten. Von dieser Hypothese ausgehend, war das Ziel dieser Studie, die Genexpression weißer und brauner Preadipozyten auf Unterschiede systematisch zu analysieren. Methoden Die zu vergleichenden Zellen wurden aus prim{\"a}ren Zellkulturen weißer und brauner Preadipozyten des dsungarischen Zwerghamsters gewonnen. „Representational Difference Analysis" wurde angewandt, um potentiell unterschiedlich exprimierte Gene zu isolieren. Die daraus resultierenden cDNA Fragmente von Kandidatengenen wurden mit Hilfe der Microarraytechnik untersucht. Die Expression dieser Gene wurde in braunen und weißen Fettzellen in verschiedenen Differenzierungsstadien und in braunem und weißem Fettgewebe verglichen. Ergebnisse 12 Gene, die in braunen und weißen Preadipozyten unterschiedlich exprimiert werden, konnten identifiziert werden. Drei Komplement Faktoren und eine Fetts{\"a}uren Desaturase werden in weißen Preadipozyten h{\"o}her exprimiert; drei Struktur Gene (Fibronectin, Metargidin und a Actinin 4), drei Gene verbunden mit transkriptioneller Regulation (Necdin, Vigilin und das „small nuclear ribonucleoprotein polypeptide A") sowie zwei Gene unbekannter Funktion werden in braunen Preadipozyten h{\"o}her exprimiert. Mittels Clusteranalyse (oder Gruppenanalyse) wurden die gesamten Genexpressionsdaten charakterisiert. Dabei konnten die Gene in 4 typischen Expressionsmuster aufgeteilt werden: in weißen Preadipozyten h{\"o}her exprimierte Gene, in braunen Preadipozyten h{\"o}her exprimierte Gene, w{\"a}hrend der Differenzierung herunter regulierte Gene und w{\"a}hrend der Differenzierung hoch regulierte Gene. Schlußfolgerungen In dieser Studie konnte gezeigt werden, daß weiße und braune Preadipozyten aufgrund der Expression verschiedener Gene unterschieden werden k{\"o}nnen. Es wurden mehrere Kandidatengene zur Bestimmung weißer und brauner Preadipozyten identifiziert. Außerdem geht aus den Genexpressionsdaten hervor, daß funktionell unterschiedliche Gruppen von Genen eine wichtige Rolle bei der Differenzierung von weißen und braunen Preadipozyten spielen k{\"o}nnten, wie z.B. Gene des Komplementsystems und der extrazellul{\"a}ren Matrix.},
  subject      = {S{\"a}ugetiere ; Fettgewebe ; Zelldifferenzierung ; Genexpression},
  language  = {en}
}
@article{JbeilySuckertGonnertetal.2013,
  author    = {Jbeily, Nayla and Suckert, Iris and Gonnert, Falk A. and Acht, Benedikt and Bockmeyer, Clemens L. and Grossmann, Sascha D. and Blaess, Markus F. and L{\"u}th, Anja and Deigner, Hans-Peter and Bauer, Michael and Claus, Ralf A.},
  title     = {Hyperresponsiveness of mice deficient in plasma-secreted sphingomyelinase reveals its pivotal role in early phase of host response},
  series = {Journal of lipid research},
  volume    = {54},
  journal   = {Journal of lipid research},
  number    = {2},
  publisher = {American Society for Biochemistry and Molecular Biology},
  address   = {Bethesda},
  issn      = {0022-2275},
  doi       = {10.1194/jlr.M031625},
  pages     = {410 -- 424},
  year      = {2013},
  abstract  = {Plasma secretion of acid sphingomyelinase is a hallmark of cellular stress response resulting in the formation of membrane embedded ceramide-enriched lipid rafts and the reorganization of receptor complexes. Consistently, decompartmentalization of ceramide formation from inert sphingomyelin has been associated with signaling events and regulation of the cellular phenotype. Herein, we addressed the question of whether the secretion of acid sphingomyelinase is involved in host response during sepsis. We found an exaggerated clinical course in mice genetically deficient in acid sphingomyelinase characterized by an increased bacterial burden, an increased phagocytotic activity, and a more pronounced cytokine storm. Moreover, on a functional level, leukocyte-endothelial interaction was found diminished in sphingomyelinase-deficient animals corresponding to a distinct leukocytes' phenotype with respect to rolling and sticking as well as expression of cellular surface proteins.(jlr) We conclude that hydrolysis of membrane-embedded sphingomyelin, triggered by circulating sphingomyelinase, plays a pivotal role in the first line of defense against invading microorganisms. This function might be essential during the early phase of infection leading to an adaptive response of remote cells and tissues.-Jbeily, N., I. Suckert, F. A. Gonnert, B. Acht, C. L. Bockmeyer, S. D. Grossmann, M. F. Blaess, A. Lueth, H.-P. Deigner, M. Bauer, and R. A. Claus. Hyperresponsiveness of mice deficient in plasma-secreted sphingomyelinase reveals its pivotal role in early phase of host response. J. Lipid Res. 2013. 54: 410-424.},
  language  = {en}
}
@phdthesis{Perscheid2023,
  author    = {Perscheid, Cindy},
  title     = {Integrative biomarker detection using prior knowledge on gene expression data sets},
  doi       = {10.25932/publishup-58241},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-582418},
  school      = {Universit{\"a}t Potsdam},
  pages     = {ix, 197},
  year      = {2023},
  abstract  = {Gene expression data is analyzed to identify biomarkers, e.g. relevant genes, which serve for diagnostic, predictive, or prognostic use. Traditional approaches for biomarker detection select distinctive features from the data based exclusively on the signals therein, facing multiple shortcomings in regards to overfitting, biomarker robustness, and actual biological relevance. Prior knowledge approaches are expected to address these issues by incorporating prior biological knowledge, e.g. on gene-disease associations, into the actual analysis. However, prior knowledge approaches are currently not widely applied in practice because they are often use-case specific and seldom applicable in a different scope. This leads to a lack of comparability of prior knowledge approaches, which in turn makes it currently impossible to assess their effectiveness in a broader context. Our work addresses the aforementioned issues with three contributions. Our first contribution provides formal definitions for both prior knowledge and the flexible integration thereof into the feature selection process. Central to these concepts is the automatic retrieval of prior knowledge from online knowledge bases, which allows for streamlining the retrieval process and agreeing on a uniform definition for prior knowledge. We subsequently describe novel and generalized prior knowledge approaches that are flexible regarding the used prior knowledge and applicable to varying use case domains. Our second contribution is the benchmarking platform Comprior. Comprior applies the aforementioned concepts in practice and allows for flexibly setting up comprehensive benchmarking studies for examining the performance of existing and novel prior knowledge approaches. It streamlines the retrieval of prior knowledge and allows for combining it with prior knowledge approaches. Comprior demonstrates the practical applicability of our concepts and further fosters the overall development and comparability of prior knowledge approaches. Our third contribution is a comprehensive case study on the effectiveness of prior knowledge approaches. For that, we used Comprior and tested a broad range of both traditional and prior knowledge approaches in combination with multiple knowledge bases on data sets from multiple disease domains. Ultimately, our case study constitutes a thorough assessment of a) the suitability of selected knowledge bases for integration, b) the impact of prior knowledge being applied at different integration levels, and c) the improvements in terms of classification performance, biological relevance, and overall robustness. In summary, our contributions demonstrate that generalized concepts for prior knowledge and a streamlined retrieval process improve the applicability of prior knowledge approaches. Results from our case study show that the integration of prior knowledge positively affects biomarker results, particularly regarding their robustness. Our findings provide the first in-depth insights on the effectiveness of prior knowledge approaches and build a valuable foundation for future research.},
  language  = {en}
}
@phdthesis{Gomez2016,
  author    = {Gomez, David},
  title     = {Mechanisms of biochemical reactions within crowded environments},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-94593},
  school      = {Universit{\"a}t Potsdam},
  pages     = {vii, 112},
  year      = {2016},
  abstract  = {The cell interior is a highly packed environment in which biological macromolecules evolve and function. This crowded media has effects in many biological processes such as protein-protein binding, gene regulation, and protein folding. Thus, biochemical reactions that take place in such crowded conditions differ from diluted test tube conditions, and a considerable effort has been invested in order to understand such differences. In this work, we combine different computationally tools to disentangle the effects of molecular crowding on biochemical processes. First, we propose a lattice model to study the implications of molecular crowding on enzymatic reactions. We provide a detailed picture of how crowding affects binding and unbinding events and how the separate effects of crowding on binding equilibrium act together. Then, we implement a lattice model to study the effects of molecular crowding on facilitated diffusion. We find that obstacles on the DNA impair facilitated diffusion. However, the extent of this effect depends on how dynamic obstacles are on the DNA. For the scenario in which crowders are only present in the bulk solution, we find that at some conditions presence of crowding agents can enhance specific-DNA binding. Finally, we make use of structure-based techniques to look at the impact of the presence of crowders on the folding a protein. We find that polymeric crowders have stronger effects on protein stability than spherical crowders. The strength of this effect increases as the polymeric crowders become longer. The methods we propose here are general and can also be applied to more complicated systems.},
  language  = {en}
}
@article{BalazadehKwasniewskiCaldanaetal.2011,
  author    = {Balazadeh, Salma and Kwasniewski, Miroslaw and Caldana, Camila and Mehrnia, Mohammad and Zanor, Maria Ines and Xue, Gang-Ping and M{\"u}ller-R{\"o}ber, Bernd},
  title     = {ORS1, an H2O2-Responsive NAC Transcription Factor, Controls Senescence in Arabidopsis thaliana},
  series = {Molecular plant},
  volume    = {4},
  journal   = {Molecular plant},
  number    = {2},
  publisher = {Oxford Univ. Press},
  address   = {Oxford},
  issn      = {1674-2052},
  doi       = {10.1093/mp/ssq080},
  pages     = {346 -- 360},
  year      = {2011},
  abstract  = {We report here that ORS1, a previously uncharacterized member of the NAC transcription factor family, controls leaf senescence in Arabidopsis thaliana. Overexpression of ORS1 accelerates senescence in transgenic plants, whereas its inhibition delays it. Genes acting downstream of ORS1 were identified by global expression analysis using transgenic plants producing dexamethasone-inducible ORS1-GR fusion protein. Of the 42 up-regulated genes, 30 (similar to 70\%) were previously shown to be up-regulated during age-dependent senescence. We also observed that 32 (similar to 76\%) of the ORS1-dependent genes were induced by long-term (4 d), but not short-term (6 h) salinity stress (150 mM NaCl). Furthermore, expression of 16 and 24 genes, respectively, was induced after 1 and 5 h of treatment with hydrogen peroxide (H2O2), a reactive oxygen species known to accumulate during salinity stress. ORS1 itself was found to be rapidly and strongly induced by H2O2 treatment in both leaves and roots. Using in vitro binding site selection, we determined the preferred binding motif of ORS1 and found it to be present in half of the ORS1-dependent genes. ORS1 is a paralog of ORE1/ANAC092/AtNAC2, a previously reported regulator of leaf senescence. Phylogenetic footprinting revealed evolutionary conservation of the ORS1 and ORE1 promoter sequences in different Brassicaceae species, indicating strong positive selection acting on both genes. We conclude that ORS1, similarly to ORE1, triggers expression of senescence-associated genes through a regulatory network that may involve cross-talk with salt- and H2O2-dependent signaling pathways.},
  language  = {en}
}