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Protein-protein interaction (PPI) studies are gaining momentum these days due to the plethora of various high-throughput experimental methods available for detecting PPIs. Proteins create complexes and networks by functioning in harmony with other proteins and here in silico network biology hold the promise to reveal new functionality of genes as it is very difficult and laborious to carry out experimental high-throughput genetic screens in living organisms. We demonstrate this approach by computationally screening C. elegans conserved homologs of already reported human tumor suppressor and aging associated genes. We select by this nhr-6, vab-3 and gst-23 as predicted longevity genes for RNAi screen. The RNAi results demonstrated the pro-longevity effect of these genes. Nuclear hormone receptor nhr-6 RNAi inhibition resulted in a C. elegans phenotype of 23.46% lifespan reduction. Moreover, we show that nhr-6 regulates oxidative stress resistance in worms and does not affect the feeding behavior of worms. These findings imply the potential of nhr-6 as a common therapeutic target for aging and cancer ailments, stressing the power of in silico PPI network analysis coupled with RNAi screens to describe gene function.
Coordinated regulation of the lysosomal and autophagic systems ensures basal catabolism and normal cell physiology, and failure of either system causes disease. Here we describe an epigenetic rheostat orchestrated by c-MYC and histone deacetylases that inhibits lysosomal and autophagic biogenesis by concomitantly repressing the expression of the transcription factors MiT/TFE and FOXH1, and that of lysosomal and autophagy genes. Inhibition of histone deacetylases abates c-MYC binding to the promoters of lysosomal and autophagy genes, granting promoter occupancy to the MiT/TFE members, TFEB and TFE3, and/or the autophagy regulator FOXH1. In pluripotent stem cells and cancer, suppression of lysosomal and autophagic function is directly downstream of c-MYC overexpression and may represent a hallmark of malignant transformation. We propose that, by determining the fate of these catabolic systems, this hierarchical switch regulates the adaptive response of cells to pathological and physiological cues that could be exploited therapeutically.
High-throughput studies of microbial communities suggest that Archaea are a widespread component of microbial diversity in various ecosystems. However, proper quantification of archaeal diversity and community ecology remains limited, as sequence coverage of Archaea is usually low owing to the inability of available prokaryotic primers to efficiently amplify archaeal compared to bacterial rRNA genes. To improve identification and quantification of Archaea, we designed and validated the utility of several primer pairs to efficiently amplify archaeal 16S rRNA genes based on up-to-date reference genes. We demonstrate that several of these primer pairs amplify phylogenetically diverse Archaea with high sequencing coverage, outperforming commonly used primers. Based on comparing the resulting long 16S rRNA gene fragments with public databases from all habitats, we found several novel family- to phylum-level archaeal taxa from topsoil and surface water. Our results suggest that archaeal diversity has been largely overlooked due to the limitations of available primers, and that improved primer pairs enable to estimate archaeal diversity more accurately.
The MYC oncoprotein binds to promoter-proximal regions of virtually all transcribed genes and enhances RNA polymerase II (Pol II) function, but its precise mode of action is poorly understood. Using mass spectrometry of both MYC and Pol II complexes, we show here that MYC controls the assembly of Pol II with a small set of transcription elongation factors that includes SPT5, a subunit of the elongation factor DSIF. MYC directly binds SPT5, recruits SPT5 to promoters, and enables the CDK7-dependent transfer of SPT5 onto Pol II. Consistent with known functions of SPT5, MYC is required for fast and processive transcription elongation. Intriguingly, the high levels of MYC that are expressed in tumors sequester SPT5 into non-functional complexes, thereby decreasing the expression of growth-suppressive genes. Altogether, these results argue that MYC controls the productive assembly of processive Pol II elongation complexes and provide insight into how oncogenic levels of MYC permit uncontrolled cellular growth.
Connecting lysosomes and mitochondria – a novel role for lipid metabolism in cancer cell death
(2019)
Background
The understanding of lysosomes has been expanded in recent research way beyond their view as cellular trash can. Lysosomes are pivotal in regulating metabolism, endocytosis and autophagy and are implicated in cancer. Recently it was discovered that the lysosomal V-ATPase, which is known to induce apoptosis, interferes with lipid metabolism in cancer, yet the interplay between these organelles is poorly understood.
Methods
LC-MS/MS analysis was performed to investigate lipid distribution in cells. Cell survival and signaling pathways were analyzed by means of cell biological methods (qPCR, Western Blot, flow cytometry, CellTiter-Blue). Mitochondrial structure was analyzed by confocal imaging and electron microscopy, their function was determined by flow cytometry and seahorse measurements.
Results
Our data reveal that interfering with lysosomal function changes composition and subcellular localization of triacylglycerids accompanied by an upregulation of PGC1α and PPARα expression, master regulators of energy and lipid metabolism. Furthermore, cardiolipin content is reduced driving mitochondria into fission, accompanied by a loss of membrane potential and reduction in oxidative capacity, which leads to a deregulation in cellular ROS and induction of mitochondria-driven apoptosis. Additionally, cells undergo a metabolic shift to glutamine dependency, correlated with the fission phenotype and sensitivity to lysosomal inhibition, most prominent in Ras mutated cells.
Conclusion
This study sheds mechanistic light on a largely uninvestigated triangle between lysosomes, lipid metabolism and mitochondrial function. Insight into this organelle crosstalk increases our understanding of mitochondria-driven cell death. Our findings furthermore provide a first hint on a connection of Ras pathway mutations and sensitivity towards lysosomal inhibitors.
Die NO-sensitive Guanylyl-Cyclase (NO-GC) ist ein zentrales Enzym der NO/cGMP-Signalkaskade, das über die Aktivierung von NO zur Bildung des second messangers cGMP führt. Die NO-GC setzt sich aus zwei Untereinheiten zusammen, sodass zwei Isoformen des Enzyms gebildet werden können (α1β1 und α2β1). Da die genaue Verteilung der beiden Isoformen im Colon nicht bekannt ist, wurde diese im ersten Teil dieser Arbeit charakterisiert. Immunhistochemie und In-situ-Hybridisierung zeigten die Expression beider Isoformen sowohl in der glatten Muskelschicht als auch in der Submukosa und Lamina propria. Dabei war die α1β1-Isoform ubiquitär, die α2β1-Isoform dagegen hauptsächlich im Bereich des myenterischen Plexus vorzufinden.
In der glatten Muskelschicht des Colons ist die NO-GC in glatten Muskelzellen (SMC), interstitiellen Zellen von Cajal (ICC) sowie Fibroblasten-ähnliche Zellen (FLC) exprimiert und hauptsächlich in die Modulation der gastrointestinalen Motilität involviert. Zur spezifischen Charakterisierung der Funktion der NO-GC in den einzelnen Zelltypen wurden Knockout-Mäuse generiert, denen die NO-GC global (GCKO) oder spezifisch in SMC (SMC-GCKO), ICC (ICC-GCKO) oder beiden Zelltypen (SMC/ICC-GCKO) fehlt. Anhand dieser Mausmodelle sollten im zweiten Teil dieser Arbeit die modulatorischen Effekte der NO-GC auf die spontanen Kontraktionen des Colons bestimmt werden. Zur Charakterisierung der spontanen Kontraktionen der zirkulären Muskelschicht wurden Myographiestudien mit 2,5 mm langen Colonringen durchgeführt. Hierbei konnten drei verschiedene Kontraktionen gemessen werden: Kleine, hochfrequente Ripples, mittlere Kontraktionen und große Kontraktionen. Die detaillierte Analyse der einzelnen Kontraktionen zeigte einerseits eine NO-unabhängige Regulation der Ripples, andererseits eine NO-abhängige Modulation der mittleren und großen Kontraktionen über die NO-GC in SMC und ICC. Die NO-GC in SMC beeinflusst die Kontraktionen vermutlich vor allem über die Regulation des Muskeltonus der zirkulären Muskelschicht. Die NO-GC in ICC dagegen modifiziert die spontanen Kontraktionen möglicherweise über eine Veränderung der Schrittmacheraktivität. Allerdings führt erst ein Funktionsverlust des NO/cGMP-Signalweges in beiden Zelltypen zu einem sichtbar veränderten Kontraktionsmuster, das dem von globalen Knockout-Tieren glich. Dies weist auf eine kompensatorische Wirkung der NO-GC im jeweils anderen Zelltyp hin.
Zur Analyse der propulsiven Kontraktionen entlang des gesamten Colons wurden Videoaufnahmen der Darmbewegungen in Kontraktionsmusterkarten transformiert. Zudem wurde der Darm durchspült und die Ausflusstropfen aufgezeichnet, um die Effektivität der Kontraktionen beurteilen zu können. Hierbei zeigte sich, dass eine Beeinträchtigung des NO/cGMP-Signalweges eine verminderte Effektivität der Kontraktionen zur Folge hat und vermutlich durch eine beeinträchtige Synchronisation der Kontraktionen erklärt werden kann. In diesem Regulationsmechanismus konnte vor allem der NO-GC in SMC eine übergeordnete Rolle zugewiesen werden.
Der dritte Teil der Arbeit thematisierte den Befund, dass SMC-GCKO-Tiere ca. 5 Monate nach Tamoxifen-Behandlung Entartungen der Mukosa entwickelten. Diese Entartung war lediglich in Tamoxifen-induzierten Knockout-Tieren vorzufinden. Histologische Analysen identifizierten die Entartungen als tubulovillöses Adenom. Die Genexpressionsanalyse von Mukosafalten von SMC-GCKO- und heterozygoten Kontrolltieren zeigte eine Vielzahl von Genen, welche spezifisch bei colorectalem Karzinom differenziell exprimiert sind. Einer dieser Faktoren war der BMP-Antagonist Gremlin1. Dieser Faktor erschien von besonderem Interesse, da er in Zellen der Lamina muscularis mucosae und kryptennahen Myofibroblasten exprimiert wird. Immunhistochemische Analysen ließen vermuten, dass diese Zellen sowohl die NO-GC als auch die Cre-Rekombinase unter dem SMMHC-Promotor exprimieren. Diese Arbeit liefert demnach Hinweise darauf, dass die NO-GC einen wichtigen Regulator innerhalb der Stammzellnische bildet. Die Deletion der NO-GC führt vermutlich zu einer verstärkten Bildung bzw. Sekretion von Gremlin1, was die Homöostase der mukosalen Erneuerung stört und somit zur Entwicklung von Adenomen führt.
Life on earth adapted to the daily reoccurring changes in environment by evolving an endogenous circadian clock. Although the circadian clock has a crucial impact on survival and behavior of solitary bees, many aspects of solitary bee clock mechanisms remain unknown. Our study is the first to show that the circadian clock governs emergence in Osmia bicornis, a bee species which overwinters as adult inside its cocoon. Therefore, its eclosion from the pupal case is separated by an interjacent diapause from its emergence in spring. We show that this bee species synchronizes its emergence to the morning. The daily rhythms of emergence are triggered by temperature cycles but not by light cycles. In contrast to this, the bee’s daily rhythms in locomotion are synchronized by light cycles. Thus, we show that the circadian clock of O. bicornis is set by either temperature or light, depending on what activity is timed. Light is a valuable cue for setting the circadian clock when bees have left the nest. However, for pre-emerged bees, temperature is the most important cue, which may represent an evolutionary adaptation of the circadian system to the cavity-nesting life style of O. bicornis.
Predation on pest organisms is an essential ecosystem function supporting yields in modern agriculture. However, assessing predation rates is intricate, and they can rarely be linked directly to predator densities or functions. We tested whether sentinel prey aphid cards are useful tools to assess predation rates in the field. Therefore, we looked at aphid cards of different sizes on the ground level as well as within the vegetation. Additionally, by trapping ground‐dwelling predators, we examined whether obtained predation rates could be linked to predator densities and traits. Predation rates recorded with aphid cards were independent of aphid card size. However, predation rates on the ground level were three times higher than within the vegetation. We found both predatory carabid activity densities as well as community weighted mean body size to be good predictors for predation rates. Predation rates obtained from aphid cards are stable over card type and related to predator assemblages. Aphid cards, therefore, are a useful, efficient method for rapidly assessing the ecosystem function predation. Their use might especially be recommended for assessments on the ground level and when time and resource limitations rule out more elaborate sentinel prey methods using exclosures with living prey animals.
In this work models for molecular networks consisting of ordinary differential equations are extended by terms that include the interaction of the corresponding molecular network with the environment that the molecular network is embedded in. These terms model the effects of the external stimuli on the molecular network. The usability of this extension is demonstrated with a model of a circadian clock that is extended with certain terms and reproduces data from several experiments at the same time.
Once the model including external stimuli is set up, a framework is developed in order to calculate external stimuli that have a predefined desired effect on the molecular network. For this purpose the task of finding appropriate external stimuli is formulated as a mathematical optimal control problem for which in order to solve it a lot of mathematical methods are available. Several methods are discussed and worked out in order to calculate a solution for the corresponding optimal control problem. The application of the framework to find pharmacological intervention points or effective drug combinations is pointed out and discussed. Furthermore the framework is related to existing network analysis tools and their combination for network analysis in order to find dedicated external stimuli is discussed.
The total framework is verified with biological examples by comparing the calculated results with data from literature. For this purpose platelet aggregation is investigated based on a corresponding gene regulatory network and associated receptors are detected. Furthermore a transition from one to another type of T-helper cell is analyzed in a tumor setting where missing agents are calculated to induce the corresponding switch in vitro. Next a gene regulatory network of a myocardiocyte is investigated where it is shown how the presented framework can be used to compare different treatment strategies with respect to their beneficial effects and side effects quantitatively. Moreover a constitutively activated signaling pathway, which thus causes maleficent effects, is modeled and intervention points with corresponding treatment strategies are determined that steer the gene regulatory network from a pathological expression pattern to physiological one again.
Once biological systems are modeled by regulatory networks, the next step is to include external stimuli, which model the experimental possibilities to affect the activity level of certain network’s nodes, in a mathematical framework. Then, this framework can be interpreted as a mathematical optimal control framework such that optimization algorithms can be used to determine external stimuli which cause a desired switch from an initial state of the network to another final state. These external stimuli are the intervention points for the corresponding biological experiment to obtain the desired outcome of the considered experiment. In this work, the model of regulatory networks is extended to controlled regulatory networks. For this purpose, external stimuli are considered which can affect the activity of the network’s nodes by activation or inhibition. A method is presented how to calculate a selection of external stimuli which causes a switch between two different steady states of a regulatory network. A software solution based on Jimena and Mathworks Matlab is provided. Furthermore, numerical examples are presented to demonstrate application and scope of the software on networks of 4 nodes, 11 nodes and 36 nodes. Moreover, we analyze the aggregation of platelets and the behavior of a basic T-helper cell protein-protein interaction network and its maturation towards Th0, Th1, Th2, Th17 and Treg cells in accordance with experimental data.
Mathematical optimization framework allows the identification of certain nodes within a signaling network. In this work, we analyzed the complex extracellular-signal-regulated kinase 1 and 2 (ERK1/2) cascade in cardiomyocytes using the framework to find efficient adjustment screws for this cascade that is important for cardiomyocyte survival and maladaptive heart muscle growth. We modeled optimal pharmacological intervention points that are beneficial for the heart, but avoid the occurrence of a maladaptive ERK1/2 modification, the autophosphorylation of ERK at threonine 188 (ERK\(^{Thr188}\) phosphorylation), which causes cardiac hypertrophy. For this purpose, a network of a cardiomyocyte that was fitted to experimental data was equipped with external stimuli that model the pharmacological intervention points. Specifically, two situations were considered. In the first one, the cardiomyocyte was driven to a desired expression level with different treatment strategies. These strategies were quantified with respect to beneficial effects and maleficent side effects and then which one is the best treatment strategy was evaluated. In the second situation, it was shown how to model constitutively activated pathways and how to identify drug targets to obtain a desired activity level that is associated with a healthy state and in contrast to the maleficent expression pattern caused by the constitutively activated pathway. An implementation of the algorithms used for the calculations is also presented in this paper, which simplifies the application of the presented framework for drug targeting, optimal drug combinations and the systematic and automatic search for pharmacological intervention points. The codes were designed such that they can be combined with any mathematical model given by ordinary differential equations.
Virotherapy on the basis of oncolytic vaccinia virus (VACV) strains is a promising approach for cancer therapy. Recently, we showed that the oncolytic vaccinia virus GLV-1h68 has a therapeutic potential in treating human prostate and hepatocellular carcinomas in xenografted mice. In this study, we describe the use of dynamic boolean modeling for tumor growth prediction of vaccinia virus-injected human tumors. Antigen profiling data of vaccinia virus GLV-1h68-injected human xenografted mice were obtained, analyzed and used to calculate differences in the tumor growth signaling network by tumor type and gender. Our model combines networks for apoptosis, MAPK, p53, WNT, Hedgehog, the T-killer cell mediated cell death, Interferon and Interleukin signaling networks. The in silico findings conform very well with in vivo findings of tumor growth. Similar to a previously published analysis of vaccinia virus-injected canine tumors, we were able to confirm the suitability of our boolean modeling for prediction of human tumor growth after virus infection in the current study as well. In summary, these findings indicate that our boolean models could be a useful tool for testing of the efficacy of VACV-mediated cancer therapy already before its use in human patients.
Background
Shotgun metagenomes contain a sample of all the genomic material in an environment, allowing for the characterization of a microbial community. In order to understand these communities, bioinformatics methods are crucial. A common first step in processing metagenomes is to compute abundance estimates of different taxonomic or functional groups from the raw sequencing data.
Given the breadth of the field, computational solutions need to be flexible and extensible, enabling the combination of different tools into a larger pipeline.
Results
We present NGLess and NG-meta-profiler. NGLess is a domain specific language for describing next-generation sequence processing pipelines. It was developed with the goal of enabling user-friendly computational reproducibility. It provides built-in support for many common operations on sequencing data and is extensible with external tools with configuration files.
Using this framework, we developed NG-meta-profiler, a fast profiler for metagenomes which performs sequence preprocessing, mapping to bundled databases, filtering of the mapping results, and profiling (taxonomic and functional). It is significantly faster than either MOCAT2 or htseq-count and (as it builds on NGLess) its results are perfectly reproducible.
Conclusions
NG-meta-profiler is a high-performance solution for metagenomics processing built on NGLess. It can be used as-is to execute standard analyses or serve as the starting point for customization in a perfectly reproducible fashion.
NGLess and NG-meta-profiler are open source software (under the liberal MIT license) and can be downloaded from https://ngless.embl.de or installed through bioconda.
MYC paralogs are frequently activated in small cell lung cancer (SCLC) but represent poor drug targets. Thus, a detailed mapping of MYC-paralog-specific vulnerabilities may help to develop effective therapies for SCLC patients. Using a unique cellular CRISPR activation model, we uncover that, in contrast to MYCN and MYCL, MYC represses BCL2 transcription via interaction with MIZ1 and DNMT3a. The resulting lack of BCL2 expression promotes sensitivity to cell cycle control inhibition and dependency on MCL1. Furthermore, MYC activation leads to heightened apoptotic priming, intrinsic genotoxic stress and susceptibility to DNA damage checkpoint inhibitors. Finally, combined AURK and CHK1 inhibition substantially prolongs the survival of mice bearing MYC-driven SCLC beyond that of combination chemotherapy. These analyses uncover MYC-paralog-specific regulation of the apoptotic machinery with implications for genotype-based selection of targeted therapeutics in SCLC patients.
Cosmology often uses intricate formulas and mathematics to derive new theories and concepts. We do something different in this paper: We look at biological processes and derive from these heuristics so that the revised cosmology agrees with astronomical observations but does also agree with standard biological observations. We show that we then have to replace any type of singularity at the start of the universe by a condensation nucleus and that the very early period of the universe usually assumed to be inflation has to be replaced by a period of rapid crystal growth as in Weiss magnetization domains.
Impressively, these minor modifications agree well with astronomical observations including removing the strong inflation perturbations which were never observed in the recent BICEP2 experiments. Furthermore, looking at biological principles suggests that such a new theory with a condensation nucleus at start and a first rapid phase of magnetization-like growth of the ordered, physical laws obeying lattice we live in is in fact the only convincing theory of the early phases of our universe that also is compatible with current observations.
We show in detail in the following that such a process of crystal creation, breaking of new crystal seeds and ultimate evaporation of the present crystal readily leads over several generations to an evolution and selection of better, more stable and more self-organizing crystals. Moreover, this explains the “fine-tuning” question why our universe is fine-tuned to favor life: Our Universe is so self-organizing to have enough offspring and the detailed physics involved is at the same time highly favorable for all self-organizing processes including life.
This biological theory contrasts with current standard inflation cosmologies. The latter do not perform well in explaining any phenomena of sophisticated structure creation or self-organization. As proteins can only thermodynamically fold by increasing the entropy in the solution around them we suggest for cosmology a condensation nucleus for a universe can form only in a “chaotic ocean” of string-soup or quantum foam if the entropy outside of the nucleus rapidly increases. We derive an interaction potential for 1 to n-dimensional strings or quantum-foams and show that they allow only 1D, 2D, 4D or octonion interactions. The latter is the richest structure and agrees to the E8 symmetry fundamental to particle physics and also compatible with the ten dimensional string theory E8 which is part of the M-theory. Interestingly, any other interactions of other dimensionality can be ruled out using Hurwitz compositional theorem. Crystallization explains also extremely well why we have only one macroscopic reality and where the worldlines of alternative trajectories exist: They are in other planes of the crystal and for energy reasons they crystallize mostly at the same time, yielding a beautiful and stable crystal. This explains decoherence and allows to determine the size of Planck´s quantum h (very small as separation of crystal layers by energy is extremely strong).
Ultimate dissolution of real crystals suggests an explanation for dark energy agreeing with estimates for the “big rip”. The halo distribution of dark matter favoring galaxy formation is readily explained by a crystal seed starting with unit cells made of normal and dark matter.
That we have only matter and not antimatter can be explained as there may be right handed mattercrystals and left-handed antimatter crystals. Similarly, real crystals are never perfect and we argue that exactly such irregularities allow formation of galaxies, clusters and superclusters. Finally, heuristics from genetics suggest to look for a systems perspective to derive correct vacuum and Higgs Boson energies.
Transposable elements are endogenous DNA sequences able to integrate into and multiply within genomes. They constitute a major source of genetic innovations, as they can not only rearrange genomes but also spread ready-to-use regulatory sequences able to modify host gene expression, and even can give birth to new host genes. As their evolutionary success depends on their vertical transmission, transposable elements are intrinsically linked to reproduction. In organisms with sexual reproduction, this implies that transposable elements have to manifest their transpositional activity in germ cells or their progenitors. The control of sexual development and function can be very versatile, and several studies have demonstrated the implication of transposable elements in the evolution of sex. In this review, we report the functional and evolutionary relationships between transposable elements and sexual reproduction in animals. In particular, we highlight how transposable elements can influence expression of sexual development genes, and how, reciprocally, they are tightly controlled in gonads. We also review how transposable elements contribute to the organization, expression and evolution of sexual development genes and sex chromosomes. This underscores the intricate co-evolution between host functions and transposable elements, which regularly shift from a parasitic to a domesticated status useful to the host.
Transmission of measles virus (MV) from dendritic to airway epithelial cells is considered as crucial to viral spread late in infection. Therefore, pathways and effectors governing this process are promising targets for intervention. To identify these, we established a 3D respiratory tract model where MV transmission by infected dendritic cells (DCs) relied on the presence of nectin-4 on H358 lung epithelial cells. Access to recipient cells is an important prerequisite for transmission, and we therefore analyzed migration of MV-exposed DC cultures within the model. Surprisingly, enhanced motility toward the epithelial layer was observed for MV-infected DCs as compared to their uninfected siblings. This occurred independently of factors released from H358 cells indicating that MV infection triggered cytoskeletal remodeling associated with DC polarization enforced velocity. Accordingly, the latter was also observed for MV-infected DCs in collagen matrices and was particularly sensitive to ROCK inhibition indicating infected DCs preferentially employed the amoeboid migration mode. This was also implicated by loss of podosomes and reduced filopodial activity both of which were retained in MV-exposed uninfected DCs. Evidently, sphingosine kinase (SphK) and sphingosine-1-phosphate (S1P) as produced in response to virus-infection in DCs contributed to enhanced velocity because this was abrogated upon inhibition of sphingosine kinase activity. These findings indicate that MV infection promotes a push-and-squeeze fast amoeboid migration mode via the SphK/S1P system characterized by loss of filopodia and podosome dissolution. Consequently, this enables rapid trafficking of virus toward epithelial cells during viral exit.
Das Multiple Myelom (MM) ist eine maligne B-Zell-Erkrankung, welche von einer großen Heterogenität auf der biologischen und klinischen Ebene sowie in der Therapieantwort geprägt ist. Durch die biologische Interpretation von whole exome sequencing (WES)-Daten der Tumor- und Normalproben von fünf MM-Patienten und sechs MM-Zelllinien (ZL) sowie dem Einbezug von publizierten next generation sequencing (NGS)-Daten von 38 MM-Patienten konnten in dieser Dissertation sowohl somatische tumorrelevante Mutationen identifiziert als auch ein MM-spezifisches Signaltransduktionsnetzwerk definiert werden. Interessanterweise wurde in fast 100 % der MM-Patienten mindestens eine Mutation und in ~50 % der MM-Patienten sogar mehr als eine Mutation innerhalb dieses Netzwerkes beobachtet, was auf eine inter- und intra-individuelle Signalweg-Redundanz hinweist, die für die individuelle Therapieentscheidung möglicherweise von Bedeutung sein könnte. Außerdem konnte bestätigt werden, dass identische, positionsspezifische und genspezifische Mutationen im MM selten wiederholt auftreten. Als häufig mutierte Gene im MM konnten KRAS, NRAS, LRP1B, FAM46C, WHSC1, ALOX12B, DIS3 und PKHD1 identifiziert werden. Interessanterweise wurde die DIS3-Mutation in der MM-ZL OPM2 gemeinsam mit einer copy neutral loss of heterozygosity (CNLOH) im DIS3-Lokus detektiert, und in der MM-ZL AMO1 wurde eine noch nicht näher charakterisierte KRAS-Mutation in Exon 4 in Verbindung mit einem copy number (CN)-Zugewinn und einer erhöhten KRAS-Genexpression gefunden. DIS3 ist ein enzymatisch aktiver Teil des humanen RNA-Exosom-Komplexes und KRAS ein zentrales Protein im RTK-Signalweg, wodurch genetische Aberrationen in diesen Genen möglicherweise in der Entstehung oder Progression des MMs eine zentrale Rolle spielen. Daher wurde die gesamte coding sequence (CDS) der Gene DIS3 und KRAS an Tumorproben eines einheitlich behandelten Patientensets der DSMM-XI-Studie mit einem Amplikon-Tiefen-Sequenzierungsansatz untersucht. Das Patientenset bestand aus 81 MM-Patienten mit verfügbaren zytogenetischen und klinischen Daten. Dies ergab Aufschluss über die Verteilung der Mutationen innerhalb der Gene und dem Vorkommen der Mutationen in Haupt- und Nebenklonen des Tumors. Des Weiteren wurde die Assoziation der Mutationen mit weiteren klassischen zytogenetischen Alterationen (z.B. Deletion von Chr 13q14, t(4;14)-Translokation) untersucht und der Einfluss der Mutationen in Haupt- und Nebenklonen auf den klinischen Verlauf und die Therapieantwort bestimmt. Besonders hervorzuheben war dabei die Entdeckung von sieben neuen Mutationen sowie drei zuvor unbeschriebenen hot spot-Mutationen an den Aminosäure (AS)-Positionen p.D488, p.E665 und p.R780 in DIS3. Es wurde des Weiteren die Assoziation von DIS3-Mutationen mit einer Chr 13q14-Deletion und mit IGH-Translokationen bestätigt. Interessanterweise wurde ein niedrigeres medianes overall survival (OS) für MM-Patienten mit einer DIS3-Mutation sowie auch eine schlechtere Therapieantwort für MM-Patienten mit einer DIS3-Mutation im Nebenklon im Vergleich zum Hauptklon beobachtet. In KRAS konnten die bereits publizierten Mutationen bestätigt und keine Auswirkungen der KRAS-Mutationen in Haupt- oder Nebenklon auf den klinischen Verlauf oder die Therapieantwort erkannt werden. Erste siRNA vermittelte knockdown-Experimente von KRAS und Überexpressionsexperimente von KRAS-Wildtyp (WT) und der KRAS-Mutationen p.G12A, p.A146T und p.A146V mittels lentiviraler Transfektion zeigten eine Abhängigkeit der Phosphorylierung von MEK1/2 und ERK1/2 von dem KRAS-Mutationsstatus.
Zusammenfassend liefert die vorliegende Dissertation einen detaillierten Einblick in die molekularen Strukturen des MMs, vor allem im Hinblick auf die Rolle von DIS3 und KRAS bei der Tumorentwicklung und dem klinischen Verlauf.
Background:
Colonic cancer is the most common cancer of the gastrointestinal tract. The aim of this study was to determine mortality rates following colonic cancer resection and the effect of hospital caseload on in-hospital mortality in Germany.
Methods:
Patients admitted with a diagnosis of colonic cancer undergoing colonic resection from 2012 to 2015 were identifed from a nationwide registry using procedure codes. The outcome measure was in-hospital mortality. Hospitals were ranked according to their caseload for colonic cancer resection, and patients were categorized into five subgroups on the basis of hospital volume.
Results:
Some 129 196 colonic cancer resections were reviewed. The overall in-house mortality rate was 5⋅8 per cent, ranging from 6⋅9 per cent (1775 of 25 657 patients) in very low-volume hospitals to 4⋅8 per cent (1239 of 25 825) in very high-volume centres (P < 0⋅001). In multivariable logistic regression analysis the risk-adjusted odds ratio for in-house mortality was 0⋅75 (95 per cent c.i. 0⋅66 to 0⋅84) in very high-volume hospitals performing a mean of 85⋅0 interventions per year, compared with that in very low-volume hospitals performing a mean of only 12⋅7 interventions annually, after adjustment for sex, age, co-morbidity, emergency procedures, prolonged mechanical ventilation and transfusion.
Conclusion:
In Germany, patients undergoing colonic cancer resections in high-volume hospitals had with improved outcomes compared with patients treated in low-volume hospitals
Charakterisierung der Wechselwirkung zwischen N-Myc und Aurora-A im MYCN-amplifizierten Neuroblastom
(2019)
Im Neuroblastom ist die Amplifikation des MYCN-Gens, eines Mitglieds der MYC-Onkogenfamilie, mit einer ungünstigen Prognose assoziiert. Der von dem Gen kodierte Transkriptionsfaktor N-Myc ist für die Proliferation der MYCN-amplifizierten Neuroblastomzelllinien notwendig und seine Depletion oder Destabilisierung führen zum Proliferationsarrest (Otto et al., 2009). Da N-Myc auf Proteinebene durch die Interaktion mit der mitotischen Kinase Aurora-A stabilisiert wird, bewirkt deren Depletion oder die Hemmung der Interaktion der beiden Proteine mittels spezieller Aurora- A-Inhibitoren (z.B. MLN8054 und MLN8237) ebenso eine Hemmung der Proliferation – in vitro und in vivo (Brockmann et al., 2013). Bisher ist jedoch unklar, über welchen Mechanismus Aurora-A die Stabilisierung von N-Myc erreicht, die Kinaseaktivität spielt hierbei jedoch keine Rolle (Otto et al., 2009). Eine Möglichkeit stellt die Rekrutierung von Usps dar, die das angehängte Ubiquitinsignal so modifizieren, dass die Erkennung und der Abbau des Proteins durch das Proteasom verringert werden. In der vorliegenden Arbeit wurde die Wirkung von Usp7 und Usp11 auf die Stabilität von N-Myc untersucht. Für beide konnte in Immunpräzipitationen die Interaktion mit N-Myc gezeigt werden. Ebenso erhöhten beide Proteasen in Überexpressionsexperimenten die vorhandene Menge an NMyc. Die Depletion von Usp7 mittels shRNAs führte in IMR-32 zu einem Arrest in der G1-Phase und zur Differenzierung der Zellen. Gleichzeitig wurden stark erniedrigte mRNA- und Proteinmengen von N-Myc und Aurora-A nachgewiesen. Es konnte jedoch nicht eindeutig gezeigt werden, ob die beobachteten zellulären Effekte durch eine vermehrte proteasomale Degradation von N-Myc begründet sind oder ob dabei die veränderte Regulation weiterer Zielproteine von Usp7 eine Rolle spielt. Die Depletion von Usp11 mit shRNAs bewirkte eine Abnahme der N-Myc-Mengen auf posttranslationaler Ebene. Somit stellen beide Usps vielversprechende Angriffspunkte einer gezielten Therapie in MYCN-amplifizierten Neuroblastomen dar und sollten deshalb Gegenstand weiterführender Untersuchungen sein. Über welche Proteindomäne in N-Myc die Interaktion mit Aurora-A stattfindet ist nicht bekannt. Eine mögliche Pseudosubstratbindungssequenz in Myc-Box I (Idee Richard Bayliss, University of Leicester) wurde in der vorliegenden Arbeit untersucht. Durch Mutation dieser Sequenz sollte die Bindung von Aurora-A unmöglich gemacht werden. Allerdings wurde die erwartete Abnahme der Stärke der Interaktion von Aurora-A und N-Myc durch die Mutation ebensowenig beobachtet wie eine verringerte Stabilität. Die Regulation der Phosphorylierung von N-Myc im Verlauf des Zellzyklus wurde durch die Mutation beeinträchtigt. Wie diese Veränderung exakt zu begründen ist bedarf weiterer Experimente