Computational methods for analyzing small RNAs and their interaction partners with large-scale techniques

This thesis describes the computational tools and analyzes developed to characterize small regulatory RNAs and their interaction partners using large-scale techniques. Following an introduction into the emerging world of small regulatory RNAs, our methodology for analyzing small RNAs from deep-sequencing data is described (chapter 2). This methodology allows the classification of small RNAs obtained by sequencing and provides several downstream analysis tools such as expression profiling and miRNA sample comparison. It has been integrated with a miRNA target prediction method into a web server which allows one to explore tissue-specific miRNA targeting (chapter 3). In the fourth chapter, an experimental procedure for genome-wide identification of miRNA targets is outlined. With this procedure, we identified the mRNAs, that are targeted by the most abundant miRNAs in HEK293 cells. Importantly, the experimental protocol enabled us to identify the exact location of the miRNA-mRNA interaction site within the mRNA as well as the precise position of the mRNA-protein crosslink. The fifth and sixth chapter describe our studies of murine embryonic stem cells and oocytes that are devoid of Dicer. The murine specific miR-290 cluster has been identified as an important regulator in embryonic stem cells. The loss of pluripotency in Dicer-/- embryonic stem cells has been linked to primary and secondary targets of the miR-290 cluster. In contrast, our analysis of Dicer-/- oocytes revealed that the miRNA pathway plays only a minor part during oocyte maturation, and loss of Dicer affects mainly the endo-siRNA pathway. Finally, we reanalyzed piRNA sequence reads from various species (chapter 6). This analysis revealed an unexpected 19 nt long processing product which is generated during piRNA biogenesis

Conserved generation of short products at piRNA loci

ABSTRACT: BACKGROUND: The piRNA pathway operates in animal germ lines to ensure genome integrity through retrotransposon silencing. The Piwi protein-associated small RNAs (piRNAs) guide Piwi proteins to retrotransposon transcripts, which are degraded and thereby post-transcriptionally silenced through a ping-pong amplification process. Cleavage of the retrotransposon transcript defines at the same time the 5` end of a secondary piRNA that will in turn guide a Piwi protein to a primary piRNA precursor, thereby amplifying primary piRNAs. Although several studies provided evidence that this mechanism is conserved among metazoa, how the process is initiated and what enzymatic activities are responsible for generating the primary and secondary piRNAs are not entirely clear. RESULTS: Here we analyzed small RNAs from three mammalian species, seeking to gain further insight into the mechanisms responsible for the piRNA amplification loop. We found that in all these species piRNA-directed targeting is accompanied by the generation of short sequences that have a very precisely defined length, 19 nucleotides, and a specific spatial relationship with the guide piRNAs. CONCLUSIONS: This suggests that the processing of the 5` product of piRNA-guided cleavage occurs while the piRNA target is engaged by the Piwi protein. Although they are not stabilized through methylation of their 3` ends, the 19-mers are abundant not only in testes lysates but also in immunoprecipitates of Miwi and Mili proteins. They will enable more accurate identification of piRNA loci in deep sequencing data sets

MirZ: an integrated microRNA expression atlas and target prediction resource

MicroRNAs (miRNAs) are short RNAs that act as guides for the degradation and translational repression of protein-coding mRNAs. A large body of work showed that miRNAs are involved in the regulation of a broad range of biological functions, from development to cardiac and immune system function, to metabolism, to cancer. For most of the over 500 miRNAs that are encoded in the human genome the functions still remain to be uncovered. Identifying miRNAs whose expression changes between cell types or between normal and pathological conditions is an important step towards characterizing their function as is the prediction of mRNAs that could be targeted by these miRNAs. To provide the community the possibility of exploring interactively miRNA expression patterns and the candidate targets of miRNAs in an integrated environment, we developed the MirZ web server, which is accessible at www.mirz.unibas.ch. The server provides experimental and computational biologists with statistical analysis and data mining tools operating on up-to-date databases of sequencing-based miRNA expression profiles and of predicted miRNA target sites in species ranging from Caenorhabditis elegans to Homo sapien

Integrated analysis of transcript-level regulation of metabolism reveals disease-relevant nodes of the human metabolic network

Metabolic diseases and comorbidities represent an ever-growing epidemic where multiple cell types impact tissue homeostasis. Here, the link between the metabolic and gene regulatory networks was studied through experimental and computational analysis. Integrating gene regulation data with a human metabolic network prompted the establishment of an open-sourced web portal, IDARE (Integrated Data Nodes of Regulation), for visualizing various gene-related data in context of metabolic pathways. Motivated by increasing availability of deep sequencing studies, we obtained ChIP-seq data from widely studied human umbilical vein endothelial cells. Interestingly, we found that association of metabolic genes with multiple transcription factors (TFs) enriched disease-associated genes. To demonstrate further extensions enabled by examining these networks together, constraint-based modeling was applied to data from human preadipocyte differentiation. In parallel, data on gene expression, genome-wide ChIP-seq profiles for peroxisome proliferator-activated receptor (PPAR) γ, CCAAT/enhancer binding protein (CEBP) α, liver X receptor (LXR) and H3K4me3 and microRNA target identification for miR-27a, miR-29a and miR-222 were collected. Disease-relevant key nodes, including mitochondrial glycerol-3-phosphate acyltransferase (GPAM), were exposed from metabolic pathways predicted to change activity by focusing on association with multiple regulators. In both cell types, our analysis reveals the convergence of microRNAs and TFs within the branched chain amino acid (BCAA) metabolic pathway, possibly providing an explanation for its downregulation in obese and diabetic condition

Cell type-selective disease-association of genes under high regulatory load

We previously showed that disease-linked metabolic genes are often under combinatorial regulation. Using the genome-wide ChIP-Seq binding profiles for 93 transcription factors in nine different cell lines, we show that genes under high regulatory load are significantly enriched for disease-association across cell types. We find that transcription factor load correlates with the enhancer load of the genes and thereby allows the identification of genes under high regulatory load by epigenomic mapping of active enhancers. Identification of the high enhancer load genes across 139 samples from 96 different cell and tissue types reveals a consistent enrichment for disease-associated genes in a cell type-selective manner. The underlying genes are not limited to super-enhancer genes and show several types of disease-association evidence beyond genetic variation (such as biomarkers). Interestingly, the high regulatory load genes are involved in more KEGG pathways than expected by chance, exhibit increased betweenness centrality in the interaction network of liver disease genes, and carry longer 3′ UTRs with more microRNA (miRNA) binding sites than genes on average, suggesting a role as hubs integrating signals within regulatory networks. In summary, epigenetic mapping of active enhancers presents a promising and unbiased approach for identification of novel disease genes in a cell type-selective manne

Cell type-selective disease-association of genes under high regulatory load

We previously showed that disease-linked metabolic genes are often under combinatorial regulation. Using the genome-wide ChIP-Seq binding profiles for 93 transcription factors in nine different cell lines, we show that genes under high regulatory load are significantly enriched for disease-association across cell types. We find that transcription factor load correlates with the enhancer load of the genes and thereby allows the identification of genes under high regulatory load by epigenomic mapping of active enhancers. Identification of the high enhancer load genes across 139 samples from 96 different cell and tissue types reveals a consistent enrichment for disease-associated genes in a cell type-selective manner. The underlying genes are not limited to super-enhancer genes and show several types of disease-association evidence beyond genetic variation (such as biomarkers). Interestingly, the high regulatory load genes are involved in more KEGG pathways than expected by chance, exhibit increased betweenness centrality in the interaction network of liver disease genes, and carry longer 3'UTRs with more microRNA (miRNA) binding sites than genes on average, suggesting a role as hubs integrating signals within regulatory networks. In summary, epigenetic mapping of active enhancers presents a promising and unbiased approach for identification of novel disease genes in a cell type-selective manner

A gene signature derived from the loss of cdkn1a (P21) is associated with CMS4 colorectal cancer

The epithelial–mesenchymal transition (EMT) is associated with tumor aggressiveness and increased invasion, migration, metastasis, angiogenesis, and drug resistance. Although the HCT116 p21-/- cell line is well known for its EMT-associated phenotype, with high Vimentin and low E-cadherin protein levels, the gene signature of this rather intermediate EMT-like cell line has not been determined so far. In this work, we present a robust molecular and bioinformatics analysis, to reveal the associated gene expression profile and its correlation with different types of colorectal cancer tumors. We compared the quantitative signature obtained with the NanoString platform with the expression profiles of colorectal cancer (CRC) Consensus Molecular Subtypes (CMS) as identified, and validated the results in a large independent cohort of human tumor samples. The expression signature derived from the p21-/- cells showed consistent and reliable numbers of upregulated and downregulated genes, as evaluated with two machine learning methods against the four CRC subtypes (i.e., CMS1, 2, 3, and 4). High concordance was found between the upregulated gene signature of HCT116 p21-/- cells and the signature of the CMS4 mesenchymal subtype. At the same time, the upregulated gene signature of the native HCT116 cells was similar to that of CMS1. Using a multivariate Cox regression model to analyze the survival data in the CRC tumor cohort, we selected genes that have a predictive risk power (with a significant gene risk incidence score). A set of genes of the mesenchymal signature was proven to be significantly associated with poor survival, specifically in the CMS4 CRC human cohort. We suggest that the gene signature of HCT116 p21-/- cells could be a suitable metric for mechanistic studies regarding the CMS4 signature and its functional consequences in CRC. Moreover, this model could help to discover the molecular mechanisms of intermediate EMT, which is known to be associated with extraordinarily high stemness and drug resistance.R.S.-S. was supported by the Emerging Fields Initiative ‘Cell Cycle in Disease and Regeneration’ (CYDER) of the Friedrich Alexander University (Erlangen-Nürnberg, Germany). This article is partly based upon work from COST Action CA17118 TRANSCOLONCAN, supported by COST (European Cooperation in Science and Technology, www.cost.eu, last accessed 20 December 2021). The JDLR research group is supported by the Spanish Government, Instituto de Salud Carlos III (ISCiii, AES project PI18/00591) co-funded by FEDER/ERDF (European Regional Development Fund)

The economic impact of a FIFA World-Cup to a host country based on the examples Germany 2006 and South Africa 2010

Die nachfolgende Arbeit befasst sich mit den gesamtwirtschaftlichen Auswirkungen auf eine Destination die Ausrichter einer FIFA-Fußballweltmeisterschaft ist. Die gesamtwirtschaftlichen Auswirkungen werden anhand der Beispiele der Weltmeisterschaft 2006 in Deutschland sowie der Weltmeisterschaft 2010 in Südafrika analysiert und vorgestellt. In einem ersten Schritt wird zunächst auf die gesellschaftliche Bedeutung des Sports in Deutschland eingegangen, die mit der ökonomischen Bedeutung fortgesetzt wird. Im Folgenden bekommt der Leser Einblick in die wirtschaftliche Entwicklung des Fußballs in Deutschland anhand des Beispiels des FC. Bayern München. Im weiteren Verlauf bekommt der Leser einen Einblick in die Geschichte des Fußballverbandes der FIFA, die Besitzer der Rechte der Weltmeisterschaft sind und die Austragungsorte anhand von Bewerbungsverfahren bestimmen. Im darauffolgenden Abschnitt wird eine wissenschaftliche Analyse vorgestellt, die im Vorfeld der Weltmeisterschaft 2006 durchgeführt wurde und eine gesamtwirtschaftliche Prognose wagte. Diese Prognose wird im Folgenden Abschnitt mit den realen Kosten und Umsätzen der Weltmeisterschaft 2006 vergleicht. In einem ersten Ergebnis wird nun das gesamtwirtschaftliche Potential der Weltmeisterschaft in Deutschland analysiert. Da man für ein schlüssiges Ergebnis zumindest zwei Beispiele benötigt bekommt der Leser im Folgenden einen Einblick der nächsten Weltmeisterschaft in Südafrika. Die Destinationen Deutschland und Südafrika lassen sich wirtschaftlich und gesellschaftlich schwer miteinander vergleichen, wonach die Unterschiede der Nationen vorgestellt werden. Im nachfolgenden Abschnitt wird auf die Hoffnungen der südafrikanischen Regierung und der Bevölkerung näher eingegangen und letztendlich mit dem tatsächlichen Ergebnis verglichen. In einem letzten Schritt wird die künftige Weltmeisterschaft 2014 in Brasilien untersucht, die in vielerlei Hinsicht mit der Südafrikanischen Weltmeisterschaft verglichen werden kann. Die abschließende Prognose für die Destination Brasilien ist jedoch spekulativer Natur. Ziel dieser Arbeit war es dem Leser einen Einblick in die wirtschaftliche Welt des Fußballs zu geben. Durch die immer größer werdende mediale Präsenz der Weltsportart stellte sich im Vorfeld die Frage, inwiefern das global betrachtet wohl größte Event das es weltweit gibt wirtschaftliche Auswirkungen auf eine Destination haben kann

Environmental, social and governance reporting in annual reports: A textual analysis

Considering environmental, social, and governance (ESG) factors becomes increasingly important for companies and investors. However, “ESG” is not clearly defined so far and, therefore, it is difficult to measure the ESG activity of companies. We analyze the extent and changes in 10‐K reports and proxy statements on ESG, using a textual analysis and creating an ESG dictionary. The results show an average of 4.0 % ESG words on total words in the reports. The ESG word list with 482 items can be used to quantitatively examine the extent of ESG reporting, which will be helpful especially for SRI investors. Our classification of 40 subcategories allows a highly granular analysis of different ESG related aspects. Moreover, indications for a relation between changes in reporting and real events, especially negative media presence, are detected. Regulatory bodies have to be aware of the use of such words and how they are used

Tead2 expression levels control the subcellular distribution of Yap and Taz, zyxin expression and epithelial-mesenchymal transition

The cellular changes during an epithelial-mesenchymal transition (EMT) largely rely on global changes in gene expression orchestrated by transcription factors. Tead transcription factors and their transcriptional co-activators Yap and Taz have been previously implicated in promoting an EMT; however, their direct transcriptional target genes and their functional role during EMT have remained elusive. We have uncovered a previously unanticipated role of the transcription factor Tead2 during EMT. During EMT in mammary gland epithelial cells and breast cancer cells, levels of Tead2 increase in the nucleus of cells, thereby directing a predominant nuclear localization of its co-factors Yap and Taz via the formation of Tead2-Yap-Taz complexes. Genome-wide chromatin immunoprecipitation and next generation sequencing in combination with gene expression profiling revealed the transcriptional targets of Tead2 during EMT. Among these, zyxin contributes to the migratory and invasive phenotype evoked by Tead2. The results demonstrate that Tead transcription factors are crucial regulators of the cellular distribution of Yap and Taz, and together they control the expression of genes critical for EMT and metastasis