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Allopolyploid plants are long known to be subject to a homoeolog expression bias of varying degree. The same phenomenon was only much later suspected to occur also in animals based on studies of single selected genes in an allopolyploid vertebrate, the Iberian fish Squalius alburnoides. Consequently, this species became a good model for understanding the evolution of gene expression regulation in polyploid vertebrates. Here, we analyzed for the first time genome-wide allele-specific expression data from diploid and triploid hybrids of S. alburnoides and compared homoeolog expression profiles of adult livers and of juveniles. Co-expression of alleles from both parental genomic types was observed for the majority of genes, but with marked homoeolog expression bias, suggesting homoeolog specific reshaping of expression level patterns in hybrids. Complete silencing of one allele was also observed irrespective of ploidy level, but not transcriptome wide as previously speculated. Instead, it was found only in a restricted number of genes, particularly ones with functions related to mitochondria and ribosomes. This leads us to hypothesize that allelic silencing may be a way to overcome intergenomic gene expression interaction conflicts, and that homoeolog expression bias may be an important mechanism in the achievement of sustainable genomic interactions, mandatory to the success of allopolyploid systems, as in S. alburnoides.
Das hohe invasive Potential und die starke Resistenz gegen Radio-/Chemotherapie von Glioblastoma multiforme (GBM) Zellen machen sie zu dem tödlichsten Tumor ihrer Art. Es ist deshalb von großem Interesse die Grundlagen, welche der Migrationsfähigkeit und DNA Reparatur zu Grunde liegen, besser zu verstehen.
Im ersten Teil dieser Arbeit wurden zwei Algorithmen zur automatischen Analyse der Migration in der Einzelzellverfolgung und im Wundheilungsassay modifiziert. Die Auswertung der Daten konnte automatisch und somit schnell, effektiv und mit geringerem Arbeitsaufwand durchgeführt werden. Mit Hilfe dieser automatischen Algorithmen wurde die Migrationsfähigkeit von zwei GBM-Zelllinien (DK-MG und SNB19) untersucht. Zusätzlich wurde die konfokale Laserscanning- sowie die hochauflösende dSTORM-Fluoreszenzmikroskopie verwendet um die, der Zellbewegung zu Grunde liegende, Struktur des F Aktin und der fokalen Adhäsionskinase (FAK) aufzulösen und darzustellen. Unter Anwendung dieser genannten Methoden sind die Effekte des dualen PI3K/mTOR Inhibitors PI-103 alleine und in Kombination mit dem Hsp90 Inhibitor NVP AUY922 mit und ohne Bestrahlung auf die Bewegung untersucht worden. Es konnte festgestellt werden, dass sich beide Zelllinien deutlich in ihrem migratorischem Potential in vitro unterscheiden und zudem auch markante Unterschiede in ihrer Morphologie aufweisen. Die weniger invasiven DK MG-Zellen besitzen eine polarisierte Zellstruktur, wohingegen SNB19-Zellen sich durch multipolare ungerichtete Bewegung auszeichneten. Zudem wurde die Migration, durch PI3K/mTOR Inhibition mit PI-103 bei den DK-MG-Zellen (p53 wt, PTEN wt), sehr effektiv unterdrückt. Wohingegen sich die SNB19-Zellen (p53 mut, PTEN mut) resistent gegen diesen Inhibitor zeigten. Hsp90 Inhibition offenbarte in beiden Zelllinien einen starken inhibitorischen Effekt auf die Migration der Zellen sowie die Reorganisierung des F Aktinskelettes.
In der zweiten Hälfte dieser Arbeit wurde ein Augenmerk auf die DNA-DSB-Reparatur der GBM Zellen nach ionisierender Strahlung gelegt. Zunächst wurde eine automatische Analysesoftware „FocAn-3D“ entwickelt, mit dessen Hilfe die DNA Doppelstrangbruchreparaturkinetik untersucht werden sollte. Diese Software ermöglicht es die gesamten Zellkerne mit ihren γH2AX-Foci in 3D-cLSM-Aufnahmen zu untersuchen. Es konnte somit eine Verbesserung der Genauigkeit in der Auszählung der γH2AX-Foci erreicht werden, welche 2D beschränkter Software verwehrt bleibt. Mit FocAn-3D konnte der gesamte Verlauf der Induktions- und Abbauphase der γH2AX-Foci in DK MG- und SNB19-Zellen mit einem mathematischen Modell ausgewertet und dargestellt werden. Des Weiteren wurde die Nanometerstruktur von γH2AX- und pDNA-PKcs-Foci mittels hochauflösender dSTORM-Mikroskopie untersucht. Konventionelle Mikroskopiemethoden, begrenzt durch das Beugungslimit und einer Auflösung von ~200 nm, konnten die Nanometerstruktur (<100 nm) der Reparaturfoci bisher nicht darstellen. Mit Hilfe der beugungsunbegrenzten dSTORM-Mikroskopie war es möglich in DK MG- und SNB19-Zellen die Nanometerstruktur genannten Reparaturproteine in den Foci mit einer Auflösung von bis zu ~20 nm darzustellen. γH2AX-Foci zeigten sich als eine Verteilung aus einzelnen Untereinheiten („Nanofoci“) mit einem Durchmesser von ~45 nm. Dies lässt die Vermutung zu, dass es sich hier um die elementare Substruktur der Foci und somit der γH2AX enthaltenen Nukleosome handelt. DNA-PK-Foci wiesen hingegen eine diffusere Verteilung auf.
Die in dieser Arbeit ermittelten Unterschiede im Migrationsverhalten der Zellen rechtfertigen eine weitere präklinische Untersuchung der verwendeten Inhibitoren als potentielle Zelltherapeutika für die Behandlung von GBM. Zudem konnte sich dSTORM als machtvolles Hilfsmittel, sowohl zur Analyse der Migration zugrundeliegenden Zytoskelettstruktur und der Effekte der Hsp90 Inhibierung, als auch, der Nanostruktur der DNA-DSB-Reparaturfoci herausstellen. Es ist anzunehmen, dass beugungsunbegrenzte Mikroskopiemethoden sich als bedeutende Werkzeuge in der medizinischen und biologischen Erforschung der DNA-Reparaturmechanismen herausstellen werden. Das in dieser Arbeit entwickelte ImageJ Plugin „FocAn-3D“ bewies sich ebenfalls als ein vielversprechendes Werkzeug für die Analyse der Reparaturkinetik. Mit Hilfe von „FocAn-3D“ sollte es somit möglich sein u.a. den Einfluss gezielter Inhibition auf den zeitlichen Verlauf der Induktion und des Abbaus der DNA-Reparaturmaschinerie genauer zu studieren.
Inefficient vascularisation of solid tumours leads to the formation of oxygen and nutrient gradients. In order to mimic this specific feature of the tumour microenvironment, a multicellular tumour spheroid (SPH) culture system was used. These experiments were implemented in p53 isogenic colon cancer cell lines (HCT116 p53 +/+ and HCT116 p53-/-) since Tp53 has important regulatory functions in tumour metabolism. First, the characteristics of the cells cultured as monolayers and as spheroids were investigated by using RNA sequencing and metabolomics to compare gene expression and metabolic features of cells grown in different conditions. This analysis showed that certain features of gene expression found in tumours are also present in spheroids but not in monolayer cultures, including reduced proliferation and induction of hypoxia related genes. Moreover, comparison between the different genotypes revealed that the expression of genes involved in cholesterol homeostasis is induced in p53 deficient cells compared to p53 wild type cells and this difference was only detected in spheroids and tumour samples but not in monolayer cultures. In addition, it was established that loss of p53 leads to the induction of enzymes of the mevalonate pathway via activation of the transcription factor SREBP2, resulting in a metabolic rewiring that supports the generation of ubiquinone (coenzyme Q10). An adequate supply of ubiquinone was essential to support mitochondrial electron transport and pyrimidine biosynthesis in p53 deficient cancer cells under conditions of metabolic stress. Moreover, inhibition of the mevalonate pathway using statins selectively induced oxidative stress and apoptosis in p53 deficient colon cancer cells exposed to oxygen and nutrient deprivation. This was caused by ubiquinone being required for electron transfer by dihydroorotate dehydrogenase, an essential enzyme of the pyrimidine nucleotide biosynthesis pathway. Supplementation with exogenous nucleosides relieved the demand for electron transfer and restored viability of p53 deficient cancer cells under metabolic stress. Moreover, the mevalonate pathway was also essential for the synthesis of ubiquinone for nucleotide biosynthesis to support growth of intestinal tumour organoids. Together, these findings highlight the importance of the mevalonate pathway in cancer cells and provide molecular evidence for an enhanced sensitivity towards the inhibition of mitochondrial electron transfer in tumour-like metabolic environments.
Thema dieser Thesis ist die Analyse sekretorischer Vesikelpools auf Ultrastrukturebene in unterschiedlichen biologischen Systemen. Der erste und zweite Teil dieser Arbeit fokussiert sich auf die Analyse synaptischer Vesikelpools in neuromuskulären Endplatten (NME) im Modellorganismus Caenorhabditis elegans. Dazu wurde Hochdruckgefrierung und Gefriersubstitution angewandt, um eine unverzügliche Immobilisation der Nematoden und somit eine Fixierung im nahezu nativen Zustand zu gewährleisten. Anschließend wurden dreidimensionale Aufnahmen der NME mittels Elektronentomographie erstellt. Im ersten Teil dieser Arbeit wurden junge adulte, wildtypische C. elegans Hermaphroditen mit Septin-Mutanten verglichen. Um eine umfassende Analyse mit hoher Stichprobenzahl zu ermöglichen und eine automatisierte Lösung für ähnliche Untersuchungen von Vesikelpools bereit zu stellen wurde eine Software namens 3D ART VeSElecT zur automatisierten Vesikelpoolanalyse entwickelt. Die Software besteht aus zwei Makros für ImageJ, eines für die Registrierung der Vesikel und eines zur Charakterisierung. Diese Trennung in zwei separate Schritte ermöglicht einen manuellen Verbesserungsschritt zum Entfernen falsch positiver Vesikel. Durch einen Vergleich mit manuell ausgewerteten Daten neuromuskulärer Endplatten von larvalen Stadien des Modellorganismus Zebrafisch (Danio rerio) konnte erfolgreich die Funktionalität der Software bewiesen werden. Die Analyse der neuromuskulären Endplatten in C. elegans ergab kleinere synaptische Vesikel und dichtere Vesikelpools in den Septin-Mutanten verglichen mit Wildtypen.
Im zweiten Teil der Arbeit wurden neuromuskulärer Endplatten junger adulter C. elegans Hermaphroditen mit Dauerlarven verglichen. Das Dauerlarvenstadium ist ein spezielles Stadium, welches durch widrige Umweltbedingungen induziert wird und in dem C. elegans über mehrere Monate ohne Nahrungsaufnahme überleben kann. Da hier der Vergleich der Abundanz zweier Vesikelarten, der „clear-core“-Vesikel (CCV) und der „dense-core“-Vesikel (DCV), im Fokus stand wurde eine Erweiterung von 3D ART VeSElecT entwickelt, die einen „Machine-Learning“-Algorithmus zur automatisierten Klassifikation der Vesikel integriert. Durch die Analyse konnten kleinere Vesikel, eine erhöhte Anzahl von „dense-core“-Vesikeln, sowie eine veränderte Lokalisation der DCV in Dauerlarven festgestellt werden.
Im dritten Teil dieser Arbeit wurde untersucht ob die für synaptische Vesikelpools konzipierte Software auch zur Analyse sekretorischer Vesikel in Thrombozyten geeignet ist. Dazu wurden zweidimensionale und dreidimensionale Aufnahmen am Transmissionselektronenmikroskop erstellt und verglichen. Die Untersuchung ergab, dass hierfür eine neue Methodik entwickelt werden muss, die zwar auf den vorherigen Arbeiten prinzipiell aufbauen kann, aber den besonderen Herausforderungen der Bilderkennung sekretorischer Vesikel aus Thrombozyten gerecht werden muss.
Neuropeptides are processed from larger preproproteins by a dedicated set of enzymes. The molecular and biochemical mechanisms underlying preproprotein processing and the functional importance of processing enzymes are well‐characterised in mammals, but little studied outside this group. In contrast to mammals, Drosophila melanogaster lacks a gene for carboxypeptidase E (CPE ), a key enzyme for mammalian peptide processing. By combining peptidomics and neurogenetics, we addressed the role of carboxypeptidase D (dCPD ) in global neuropeptide processing and selected peptide‐regulated behaviours in Drosophila . We found that a deficiency in dCPD results in C‐terminally extended peptides across the peptidome, suggesting that dCPD took over CPE function in the fruit fly. dCPD is widely expressed throughout the nervous system, including peptidergic neurons in the mushroom body and neuroendocrine cells expressing adipokinetic hormone. Conditional hypomorphic mutation in the dCPD ‐encoding gene silver in the larva causes lethality, and leads to deficits in starvation‐induced hyperactivity and appetitive gustatory preference, as well as to reduced viability and activity levels in adults. A phylogenomic analysis suggests that loss of CPE is not common to insects, but only occurred in Hymenoptera and Diptera. Our results show that dCPD is a key enzyme for neuropeptide processing and peptide‐regulated behaviour in Drosophila . dCPD thus appears as a suitable target to genetically shut down total neuropeptide production in peptidergic neurons. The persistent occurrence of CPD in insect genomes may point to important further CPD functions beyond neuropeptide processing which cannot be fulfilled by CPE.
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.
Cushing’s disease (CD) is a rare condition caused by adrenocorticotropic hormone (ACTH)-producing adenomas of the pituitary, which lead to hypercortisolism that is associated with high morbidity and mortality. Treatment options in case of persistent or recurrent disease are limited, but new insights into the pathogenesis of CD are raising hope for new therapeutic avenues. Here, we have performed a meta-analysis of the available sequencing data in CD to create a comprehensive picture of CD’s genetics. Our analyses clearly indicate that somatic mutations in the deubiquitinases are the key drivers in CD, namely USP8 (36.5%) and USP48 (13.3%). While in USP48 only Met415 is affected by mutations, in USP8 there are 26 different mutations described. However, these different mutations are clustering in the same hotspot region (affecting in 94.5% of cases Ser718 and Pro720). In contrast, pathogenic variants classically associated with tumorigenesis in genes like TP53 and BRAF are also present in CD but with low incidence (12.5% and 7%). Importantly, several of these mutations might have therapeutic potential as there are drugs already investigated in preclinical and clinical setting for other diseases. Furthermore, network and pathway analyses of all somatic mutations in CD suggest a rather unified picture hinting towards converging oncogenic pathways.
A fundamental question in current biology concerns the translational mechanisms leading from genetic variability to phenotypes. Technologies have evolved to the extent that they can efficiently and economically determine an individual’s genomic composition, while at the same time big data on clinical profiles and diagnostics have substantially accumulated. Genome-wide association studies linking genomic loci to certain traits, however, remain limited in their capacity to explain the cellular mechanisms that underlie the given association. For most associations, gene expression has been blamed; yet given that transcript and protein abundance oftentimes do not correlate, that finding does not necessarily decrypt the underlying mechanism. Thus, the integration of further information is crucial to establish a model that could prove more accurate in predicting genotypic effects on the human organism.
In this work we describe the so-called proteotype as a feature of the cell that could provide a substantial link between genotype and phenotype. Rather than looking at the proteome as a set of independent molecules, we demonstrate a consistent modular architecture of the proteome that is driven by molecular cooperativity. Functional modules, especially protein complexes, can be further interrogated for differences between individuals and tackled as imprints of genetic and environmental variability. We also show that subtle stoichiometric changes of protein modules could have broader effects on the cellular system, such as the transport of specific molecular cargos.
The presented work also delineates to what extent temporal events and processes influence the stoichiometry of protein complexes and functional modules. The re-wiring of the glycolytic pathway for example is illustrated as a potential cause for an increased Warburg effect during the ageing of the human bone marrow. On top of analyzing protein abundances we also interrogate proteome dynamics in terms of stability and solubility transitions during the short temporal progression of the cell cycle. One of our main observations in the thesis encompass the delineation of protein complexes into respective sub-complexes according to distinct stability patterns during the cell cycle. This has never been demonstrated before, and is functionally relevant for our understanding of the dis- and assembly of large protein modules.
The insights presented in this work imply that the proteome is more than the sum of its parts, and primarily driven by variability in entire protein ensembles and their cooperative nature. Analyzing protein complexes and functional modules as molecular reflections of genetic and environmental variations could indeed prove to be a stepping stone in closing the gap between genotype and phenotype and customizing clinical treatments in the future.
Targeting bromodomain-containing protein 4 (BRD4) inhibits MYC expression in colorectal cancer cells
(2019)
The transcriptional regulator BRD4 has been shown to be important for the expression of several oncogenes including MYC. Inhibiting of BRD4 has broad antiproliferative activity in different cancer cell types. The small molecule JQ1 blocks the interaction of BRD4 with acetylated histones leading to transcriptional modulation. Depleting BRD4 via engineered bifunctional small molecules named PROTACs (proteolysis targeting chimeras) represents the next-generation approach to JQ1-mediated BRD4 inhibition. PROTACs trigger BRD4 for proteasomale degradation by recruiting E3 ligases. The aim of this study was therefore to validate the importance of BRD4 as a relevant target in colorectal cancer (CRC) cells and to compare the efficacy of BRD4 inhibition with BRD4 degradation on downregulating MYC expression. JQ1 induced a downregulation of both MYC mRNA and MYC protein associated with an antiproliferative phenotype in CRC cells. dBET1 and MZ1 induced degradation of BRD4 followed by a reduction in MYC expression and CRC cell proliferation. In SW480 cells, where dBET1 failed, we found significantly lower levels of the E3 ligase cereblon, which is essential for dBET1-induced BRD4 degradation. To gain mechanistic insight into the unresponsiveness to dBET1, we generated dBET1-resistant LS174t cells and found a strong downregulation of cereblon protein. These findings suggest that inhibition of BRD4 by JQ1 and degradation of BRD4 by dBET1 and MZ1 are powerful tools for reducing MYC expression and CRC cell proliferation. In addition, downregulation of cereblon may be an important mechanism for developing dBET1 resistance, which can be evaded by incubating dBET1-resistant cells with JQ1 or MZ1.
Honeybees (Apis mellifera) are threatened by numerous pathogens and parasites. To prevent infections they apply cooperative behavioral defenses, such as allo-grooming and hygiene, or they use antimicrobial plant resin. Resin is a chemically complex and highly variable mixture of many bioactive compounds. Bees collect the sticky material from different plant species and use it for nest construction and protection. Despite its importance for colony health, comparatively little is known about the precise origins and variability in resin spectra collected by honeybees. To identify the botanical resin sources of A. mellifera in Western Europe we chemically compared resin loads of individual foragers and tree resins. We further examined the resin intake of 25 colonies from five different apiaries to assess the effect of location on variation in the spectra of collected resin. Across all colonies and apiaries, seven distinct resin types were categorized according to their color and chemical composition. Matches between bee-collected resin and tree resin indicated that bees used poplar (Populus balsamifera, P. x canadensis), birch (Betula alba), horse chestnut (Aesculus hippocastanum) and coniferous trees (either Picea abies or Pinus sylvestris) as resin sources. Our data reveal that honeybees collect a comparatively broad and variable spectrum of resin sources, thus assuring protection against a variety of antagonists sensitive to different resins and/or compounds. We further unravel distinct preferences for specific resins and resin chemotypes, indicating that honeybees selectively search for bioactive resin compounds.