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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.
Cardiovascular diseases are considered the leading cause of death worldwide according to the World Health Organization. Heart failure is the last stage of most of these diseases, where loss of myocardium leads to architectural and functional decline.
The definitive treatment option for patients with CVDs is organ or tissue transplantation, which relies on donor availability. Therefore, generating an autologous bioengineered myocardium or heart could overcome this limitation. In addition, generating cardiac patches will provide ventricular wall support and enable reparative stem cells delivery to damaged areas. Although many hurdles still exist, a good number of researches have attempted to create an engineered cardiac tissue which can induce endogenous cardiac repair by replacing damaged myocardium.
The present study provided cardiac patches in two models, one by a detergent coronary perfusion decellularization protocol that was optimized, and the other that resulted in a 3D cell-free extracellular matrix with intact architecture and preserved s-glycosaminoglycan and vasculature conduits. Perfusion with 1% Sodium dodecyle sulfate (SDS) under constant pressure resulted in cell-free porcine scaffold within two and cell-free rat scaffold in 7 days, whereas scaffold perfused with 4% sodium deoxycholate (SDO) was not able to remove cells completely. Re-reendothelialization of tissue vasculature was obtained by injecting human microvascular endothelial cell and human fibroblast in 2:1 ratio in a dynamic culture. One-week later, CD31 positive cells and endothelium markers were observed, indicating new blood lining. Moreover, functionality test of re-endothelialized tissue revealed improvement in clotting seen in decellularized tissues. When the tissue was ready to be repopulated, porcine induced pluripotent stem cells (PiPSc) were generated by transfected reprogramming of porcine skin fibroblast and then differentiated to cardiac cells following a robust protocol, for an autologous cardiac tissue model. However, due to the limitation in the PiPSc cell number, alternatively, human induced pluripotent stem cells generated cardiac cells were used.
For reseeding a coculture of human iPSc generated cardiac cells, human mesenchymal stem cells and human fibroblast in 2:1:1 ratio respectively were used in a dynamic culture for 6-8 weeks. Contractions at different areas of the tissue were recorded at an average beating rate of 67 beats/min. In addition, positive cardiac markers (Troponin T), Fibroblast (vemintin), and mesenchymal stem cells (CD90) were detected. Not only that, but by week 3, MSC started differentiating to cardiac cells progressively until few CD90 positive cells were very few by week 6 with increasing troponin t positive cells in parallel. Electrophysiological and drug studies were difficult to obtain due to tissue thickness and limited assessment sources. However, the same construct was established using small intestine submucosa (SISer) scaffold, which recorded a spontaneous beating rate between 0.88 and 1.2 Hz, a conduction velocity of 23.9 ± 0.74 cm s−1, and a maximal contraction force of 0.453 ± 0.015 mN. Moreover, electrophysiological studies demonstrated a drug-dependent response on beating rate; a higher adrenalin frequency was revealed in comparison to the untreated tissue and isoproterenol administration, whereas a decrease in beating rate was observed with propranolol and untreated tissue.
The present study demonstrated the establishment of vascularized cardiac tissue, which can be used for human clinical application.
Tumor necrosis factor (TNF)-like weak inducer of apoptosis (TWEAK) is a member of the TNF superfamily (TNFSF) and is as such initially expressed as type II class transmembrane glycoprotein from which a soluble ligand form can be released by proteolytic processing. While the expression of TWEAK has been detected at the mRNA level in various cell lines and cell types, its cell surface expression has so far only been documented for dendritic cells, monocytes and interferon-γ stimulated NK cells. The fibroblast growth factor-inducible-14 (Fn14) is a TRAF2-interacting receptor of the TNF receptor superfamily (TNFRSF) and is the only receptor for TWEAK. The expression of Fn14 is strongly induced in a variety of non-hematopoietic cell types after tissue injury. The TWEAK/Fn14 system induces pleiotropic cellular activities such as induction of proinflammatory genes, stimulation of cellular angiogenesis, proliferation, differentiation, migration and in rare cases induction of apoptosis. On the other side, Toll-like receptor3 (TLR3) is one of DNA- and RNA-sensing pattern recognition receptors (PRRs), plays a crucial role in the first line of defense against virus and invading foreign pathogens and cancer cells. Polyinosinic-polycytidylic acid poly(I:C) is a synthetic analog of dsRNA, binds to TLR3 which acts through the adapter TRIF/TICAM1, leading to cytokine secretion, NF-B activation, IRF3 nuclear translocation, inflammatory response and may also elicit the cell death. TWEAK sensitizes cells for TNFR1-induced apoptosis and necroptosis by limiting the availability of protective TRAF2-cIAP1 and TRAF2-cIAP2 complexes, which interact with the TNFR1-binding proteins TRADD and RIPK1. In accordance with the fact that poly(I:C)-induced signaling also involves these proteins, we found enhanced necroptosis-induction in HaCaT and HeLa-RIPK3 by poly(I:C) in the presence of TWEAK (Figure 24). Analysis of a panel of TRADD, FADD, RIPK1 and caspase-8 knockout cells revealed furthermore similarities and differences in the way how these molecules act in cell death signaling by poly(I:C)/TWEAK and TNF and TRAIL. RIPK1 turned out to be essential for poly(I:C)/TWEAK-induced caspase-8-mediated apoptosis but was dispensable for these responses in TNF and TRAIL signaling. Lack of FADD protein abrogated TRAIL- but not TNF- and poly(I:C)-induced necroptosis. Moreover, we observed that both long and short FLIP rescued HaCaT and HeLa-RIPK3 cells from poly(I:C)-induced apoptosis or necroptosis.
To sum up, our results demonstrate that TWEAK, which is produced by interferon stimulated myeloid cells, controls the induction of apoptosis and necroptosis by the TLR3 ligand poly(I:C) and may thus contribute to cancer or anti-viral immunity treatment.
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.
Modulation of insulin-induced genotoxicity in vitro and genomic damage in gestational diabetes
(2019)
Diabetes mellitus is a global health problem, where the risk of diabetes increases rapidly
due to the lifestyle changes. Patients with type II diabetes have many complications
with increased risk of morbidity and mortality. High levels of insulin may lead to DNA
oxidation and damage. Several studies proposed that hyperinsulinemia may be an
important risk factor for various types of cancer. To investigate insulin signaling
pathway inducing oxidative stress and genomic damage, pharmaceutical and natural
compounds which can interfere with the insulin pathway including PI3K inhibitors,
resveratrol, lovastatin, and RAD-001 were selected due to their beneficial effects
against metabolic disorder. Thus, the anti-genotoxic potential of these compounds
regarding insulin-mediated oxidative stress were investigated in normal rat kidney cells
in vitro. Our compounds showed protective effect against genotoxic damage and
significantly decreased reactive oxygen specious after treatment of cells with insulin
with different mechanisms of protection between the compounds. Thus, these
compounds may be attractive candidates for future support of diabetes mellitus therapy.
Next, we explored the link between gestational diabetes mellitus and genomic damage
in cells derived from human blood. Moreover, we investigated the influence of
estradiol, progesterone, adrenaline and triiodothyronine on insulin-induced genomic
damage in vitro. First, we studied the effect of these hormones in human promyelocytic
leukemia cells and next ex vivo with non-stimulated and stimulated peripheral blood
mononuclear cells. In parallel, we also measured the basal genomic damage using three
conditions (whole blood, non-stimulated and stimulated peripheral blood mononuclear
cells) in a small patient study including non-pregnant controls with/without hormonal
contraceptives, with a subgroup of obese women, pregnant women, and gestational
diabetes affected women. A second-time point after delivery was also applied for
analysis of the blood samples. Our results showed that GDM subjects and obese
individuals exhibited higher basal DNA damage compared to lower weight nonpregnant
or healthy pregnant women in stimulated peripheral blood mononuclear cells
in both comet and micronucleus assays. On the other hand, the DNA damage in GDM
women had decreased at two months after birth. Moreover, the applied hormones also
showed an influence in vitro in the enhancement of the genomic damage in cells of the control and pregnant groups but this damage did not exceed the damage which existed
in obese and gestational diabetes mellitus patients with high level of genomic damage.
In conclusion, insulin can induce genomic damage in cultured cells, which can be
modulated by pharmaceutical and naturals substances. This may be for future use in the
protection of diabetic patients, who suffer from hyperinsulinemia during certain disease
stages. A particular form of diabetes, GDM, was shown to lead to elevated DNA
damage in affected women, which is reduced again after delivery. Cells of affected
women do not show an enhanced, but rather a reduced sensitivity for further DNA
damage induction by hormonal treatment in vitro. A potential reason may be an
existence of a maximally inducible damage by hormonal influences.
Proteine können aufgrund ihrer biochemischen Vielfalt eine Vielzahl von Interaktionen
mit anderen Proteinen oder chemischen Verbindungen eingehen. Im ersten Teil dieser
Arbeit wurden Protein-Protein Interaktionen mittels chemischen Quervernetzens
untersucht. Das Ziel war, neue und verbesserte Methoden zu entwickeln, um
Interaktionsnetzwerke zu erstellen. Im zweiten Teil wurden die Interaktionen von
Proteinen mit niedermolekularen Verbindungen untersucht, um Drug Targets zu
identifizieren und zu validieren.
Die Untersuchung von Protein-Protein Interaktionen mittels Massenspektrometrie (MS)
ist eine leistungsfähige Methode, um alle potentiellen Interaktionen eines Proteins nach
einer Anreicherung (Co-IP) aus einem Zelllysat zu detektieren. Durch das zusätzliche
Quervernetzen dieser Proteine und anschließender MS kann ein Interaktionsnetzwerk
erstellt werden, um direkte von indirekten Interaktionen unterscheiden zu können
(Topology Mapping). Zur Methodenetablierung wurden kommerzielle Crosslinker und
rekombinante Proteine von bekannten Interaktionspartnern mit niedriger Komplexität
verwendet. Die beiden Interaktionspartner NPL4 und UFD1 konnten mit dem Crosslinker
BS3 erfolgreich quervernetzt und anhand der vernetzten Peptide identifiziert werden. Im
nächsten Schritt wurde dieser Arbeitsablauf auf eine Co-IP des Mediatorkomplexes aus
Hefe angewendet. Die Probenkomplexität ist hierbei 500 - 1000-fach höher als bei der
Verwendung von rekombinanten Proteinen. Nach der erfolgreichen Quervernetzung
konnte innerhalb des Komplexes ein Interaktionsnetzwerk erstellt werden. Diese Daten
passen zu dem bereits bekannten Modell des Mediatorkomplexes. Interaktionen zu
bekannten Interaktionspartnern, wie der RNA-Pol II, konnten aufgrund deren
substöchiometrischen Anreicherung nicht identifiziert werden.
Aufgrund der genannten Limitationen beim Quervernetzen von Proteinen wurden
folgende neue und verbesserte Methoden entwickelt:
1. Verwendung des spaltbaren Crosslinkers (DSSO), der während der Messung selektiv
durch niedrige Kollisionsenergie gespalten werden kann, um die Datenbanksuche zu
vereinfachen. Die Funktionalität der DSSO-Strategie konnte erfolgreich am Protein
Cytochrom C getestet werden. Bei der ersten Fragmentierung wird der Linker gespalten, anschließend können die getrennten Peptide separat fragmentiert werden. Die erzeugten
Daten sind mit einer Standarddatenbanksuche kompatibel, was bei gemischten Spektren
von zwei Peptiden nicht der Fall wäre. Beim Quervernetzen der rekombinanten
Interaktionspartner UBX und p97N mit DSSO konnte der zu bestätigende Crosslink
zwischen zwei Lysinen nicht identifziert werden. Grund hierfür könnte eine zu kurze
Linkerlänge von DSSO sein. Diese Versuche brachten jedoch einige Limitationen des
Ansatzes zum Vorschein, wie die Beschränkung auf die Protease Trypsin, aufgrund der
positiven Ladung am C-Terminus und die Notwendigkeit von großen Proteinmengen, da
das Spalten des Linkers einen zusätzlichen Intensitätsverlust für die folgende
Identifizierung der Peptide mit sich bringt.
2. Da die niedrige Abundanz von quervernetzten Peptiden das Hauptproblem bei deren
Identifizierung ist, wurde eine Methode entwickelt, um während der Messung direkt nach
diesen niedrig abundanten Spezies zu suchen. Entscheidendes Kriterium hierfür war, dass
quervernetzte Peptide zwei C-Termini haben. Diese wurden zur Hälfte enzymatisch mit
18O bzw. 16O markiert und wieder vereinigt. Der resultierende Massenunterschied von 8
Da (4 x 18O) kommt ausschließlich bei zwei quervernetzten Peptiden vor und kann
während der Messung direkt gesucht werden. Die vollständige Markierung von Peptiden
mit 18O wurde zunächst am Protein Beta-Galaktosidase getestet. Bereits hier stellte sich
heraus, dass der enzymatische Rücktausch von 18O zu 16O ein Problem darstellt und die
Markierungseffizienz von Aminosäuren beeinflusst wird, die sich C-terminal nach der
Spaltstelle befinden. Mit dieser Strategie ließ sich somit keine vollständige Markierung
für alle Peptide erreichen, was für diese Strategie essentiell gewesen wäre.
3. Um alle Probleme zu umgehen, die bei der Identifizierung von quervernetzten Peptiden
auftreten, wurde eine Methode entwickelt, um quervernetzte Proteine anhand von Profilen
nach einer Auftrennung im Polyacrylamidgel (SDS-PAGE) zu identifizieren. Durch das
Quervernetzen von Proteinen entstehen zusätzliche Proteinbanden nach einer SDSPAGE,
die im Gel nach oben verschoben sind. Alle Proteine in diesen neu erzeugten
Bereichen stellen somit potentielle Interaktionspartner dar. Als Modellsystem wurde der
Mediatorkomplex verwendet. Er wurde aus einem Zelllysat mittels Co-IP angereichert
und anschließend quervernetzt. Aus den mittels LC-MS/MS gemessenen Gelfraktionen wurden Proteinprofile erstellt und miteinander verglichen. Die Intensitätsmaxima der
Proteine des Mediatorkomplexes konnten in bestimmten zusätzlichen Fraktionen
gefunden werden, was den indirekten Nachweis für eine Interaktion darstellt. Die
Funktionalität der Strategie konnte somit bestätigt werden. Ein verbleibender Nachteil ist
jedoch die zu geringe Trennleistung von Polyacrylamidgelen. Befinden sich mehr als 50
Proteine in einer Fraktion, können potentielle Interaktionspartner nicht eindeutig zu einer
Untereinheit eines Komplexes zugeordnet werden.
Im zweiten Teil der Arbeit wurde im Rahmen der Klinischen Forschergruppe 216
(CRU216) Interaktionen von Proteinen mit verschiedenen niedermolekularen
Verbindungen massenspektrometrisch untersucht, um potentielle Drug Targets zu
identifizieren. Diese Versuche sind vergleichbar mit Co-IP Experimenten, da sich der
Arbeitsablauf nur durch die Anreicherung mittels chemischer Verbindung unterscheidet.
Hierzu wurden biotinylierte Verbindungen immobilisiert und potentielle Drug Targets
aus einem komplexen Zelllysat angereichert. Die Identifzierung der echten
Bindungspartner wurde über quantitive Massenspektrometrie erreicht. Dabei wurden die
angereicherten Proteine, die an die niedermolekularen Substanzen binden mit einer
geeigneten Kontrollanreicherung verglichen. Mit den getesteten α-acyl
Aminocarboxamiden konnten verschiedene Proteinkomplexe und interagierende Proteine
spezifisch angereichert werden. Hierbei waren die vier Kinasen DNA-PK, ATM, ATR
und mTOR besonders interessant, da sie mit onkogenem Signalling und
Überlebensmechanismen wie der Hitzeschockantwort in Zellen des Multiplen Myeloms
(MM) in Verbidnung stehen. Die Inhibition der DNA-PK, ATM, ATR und mTOR mit α-
acyl Aminocarboxamiden stellt somit einen möglichen Therapieansatz dar, wenn er
zusammen mit hitzestressauslösenden Inhibitoren verwendet wird. Weiterhin konnte
gezeigt werden, dass die Armadillodomäne innerhalb der potentiellen Drug targets
signifkant angereichert wurde. Sie stellt damit eine potentielle Bindestelle der α-acyl
Aminocarboxamide dar.
Abschließend wurden Proteine mit biotinylierten Naphtylisochinolinen aus einem MMZelllysat
angereichert, deren Vorläufersubstanzen eine Wirkung auf Tumorzellen und den Malariaparasit Plasmodium falciparum gezeigt hatten. Hierbei konnten vor allem RNAbindende-
und mRNA-Splicing Proteine identifiziert werden, die zum Teil essentiell für
das Spleißen in-vivo sind. Hierzu gehören mehrere Untereinheiten der Splicing Factoren
3A und 3B. Die Veränderung der transkriptionellen Regulation und der resultierende
Effekt auf Krebszellen konnte bereits in anderen Studien mit dem Inhibitor Spliceostatin
A gezeigt werden, der das Spleißen beeinflusst.
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.
Activated platelets and coagulation jointly contribute to physiological hemostasis. However, pathological conditions can also trigger unwanted platelet activation and initiation of coagulation resulting in thrombosis and precipitation of ischemic damage of vital organs such as the heart or brain. The specific contribution of procoagulant platelets, positioned at the interface of the processes of platelet activation and coagulation, in ischemic stroke had remained uninvestigated. The first section of the thesis addresses this aspect through experiments conducted in novel megakaryocyte- and platelet-specific TMEM16F conditional KO mice (cKO). cKO platelets phenocopied defects in platelets from Scott Syndrome patients and had severely impaired procoagulant characteristics. This led to decelerated platelet-driven thrombin generation and delayed fibrin formation. cKO mice displayed prolonged bleeding times and impaired arterial thrombosis. However, infarct volumes in cKO mice were comparable to wildtype (WT) mice in an experimental model of ischemic stroke. Therefore, while TMEM16F-regulated platelet procoagulant activity is critical for hemostasis and thrombosis, it is dispensable for cerebral thrombo-inflammation in mice.
The second section describes the generation and initial characterization of a novel knockin mouse strain that expresses human coagulation factor XII (FXII) instead of endogenous murine FXII. These knockin mice had normal occlusion times in an experimental model of arterial thrombosis demonstrating that human FXII is functional in mice. Therefore, these mice constitute a valuable tool for testing novel pharmacological agents against human FXII – an attractive potential target for antithrombotic therapy.
Glycoprotein (GP)VI and C-type lectin-like receptor 2 (CLEC-2)-mediated (hem)immunoreceptor tyrosine-based activation motif (ITAM) signaling represent a major pathway for platelet activation. The last section of the thesis provides experimental evidence for redundant functions between the two members of the Grb2 family of adapter proteins - Grb2 and Gads that lie downstream of GPVI and CLEC-2 stimulation. In vitro and in vivo studies in mice deficient in both Grb2 and Gads (DKO) revealed that DKO platelets had defects in (hem)ITAM-stimulation-specific activation, aggregation and signal transduction that were more severe than the defects observed in single Grb2 KO or Gads KO mice. Furthermore, the specific role of these adapters downstream of (hem)ITAM signaling was essential for maintenance of hemostasis but dispensable for the known CLEC-2 dependent regulation of blood-lymphatic vessel separation.
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.
Cancer remains after cardiovascular diseases the leading cause of death worldwide and an estimated 8.2 million people died of it in 2012. By 2030, 13 million cancer deaths are expected due to the growth and ageing of the population. Hereof, colorectal cancer (CRC) is the third most common cancer in men and the second in women with a wide geographical variation across the world. Usually, CRC begins as a non-cancerous growth leading to an adenomatous polyp, or adenoma, arising from glandular cells. Since research has brought about better understanding of the mechanisms of cancer development, novel treatments such as targeted therapy have emerged in the past decades. Despite that, up to 95% of anticancer drugs tested in clinical phase I trials do not attain a market authorisation and hence these high attrition rates remain a key challenge for the pharmaceutical industry, making drug development processes enormously costly and inefficient. Therefore, new preclinical in vitro models which can predict drug responses in vivo more precisely are urgently needed. Tissue engineering not only provides the possibility of creating artificial three-dimensional (3D) in vitro tissues, such as functional organs, but also enables the investigation of drug responses in pathological tissue models, that is, in 3D cancer models which are superior to conventional two-dimensional (2D) cell cultures on petri dishes and can overcome the limitations of animal models, thereby reducing the need for preclinical in vivo models. In this thesis, novel 3D CRC models on the basis of a decellularised intestinal matrix were established. In the first part, it could be shown that the cell line SW480 exhibited different characteristics when grown in a 3D environment from those in conventional 2D culture. While the cells showed a mesenchymal phenotype in 2D culture, they displayed a more pronounced epithelial character in the 3D model. By adding stromal cells (fibroblasts), the cancer cells changed their growth pattern and built tumour-like structures together with the fibroblasts, thereby remodelling the natural mucosal structures of the scaffold. Additionally, the established 3D tumour model was used as a test system for treatment with standard chemotherapeutic 5-fluorouracil (5-FU). The second part of the thesis focused on the establishment of a 3D in vitro test system for targeted therapy. The US Food and Drug Administration has already approved of a number of drugs for targeted therapy of specific types of cancer. For instance, the small molecule vemurafenib (PLX4032, Zelboraf™) which demonstrated impressive response rates of 50–80% in melanoma patients with a mutation of the rapidly accelerated fibrosarcoma oncogene type B (BRAF) kinase which belongs to the mitogen active protein kinase (MAPK) signalling pathway. However, only 5% of CRC patients harbouring the same BRAF mutation respond to treatment with vemurafenib. An explanation for this unresponsiveness could be a feedback activation of the upstream EGFR, reactivating the MAPK pathway which sustains a proliferative signalling. To test this hypothesis, the two early passage cell lines HROC24 and HROC87, both presenting the mutation BRAF V600E but differing in other mutations, were used and their drug response to vemurafenib and/or gefitinib was assessed in conventional 2D cell culture and compared to the more advanced 3D model. Under 3D culture conditions, both cell lines showed a reduction of the proliferation rate only in the combination therapy approach. Furthermore, no significant differences between the various treatment approaches and the untreated control regarding apoptosis rate and viability for both cell lines could be found in the 3D tumour model which conferred an enhanced chemoresistance to the cancer cells. Because of the observed unresponsiveness to BRAF inhibition by vemurafenib as can be seen in the clinic for patients with BRAF mutations in CRC, the cell line HROC87 was used for further xenografting experiments and analysis of activation changes in the MAPK signalling pathway. It could be shown that the cells presented a reactivation of Akt in the 3D model when treated with both inhibitors, suggesting an escape mechanism for apoptosis which was not present in cells cultured under conventional 2D conditions. Moreover, the cells exhibited an activation of the hepatocyte growth factor receptor (HGFR, c-Met) in 2D and 3D culture, but this was not detectable in the xenograft model. This shows the limitations of in vivo models. The results suggest another feedback activation loop than that to the EGFR which might not primarily be involved in the resistance mechanism. This reflects the before mentioned high attrition rates in the preclinical drug testing.
Almost all life forms on earth have adapted to the most impactful and most predictable recurring change in environmental condition, the cycle of day and night, caused by the axial rotation of the planet. As a result many animals have evolved intricate endogenous clocks, which adapt and synchronize the organisms’ physiology, metabolism and behaviour to the daily change in environmental conditions. The scientific field researching these endogenous clocks is called chronobiology and has steadily grown in size, scope and relevance since the works of the earliest pioneers in the 1960s.
The number one model organism for the research of circadian clocks is the fruit fly, Drosophila melanogaster, whose clock serves as the entry point to understanding the basic inner workings of such an intricately constructed endogenous timekeeping system. In this thesis it was attempted to combine the research on the circadian clock with the techniques of optogenetics, a fairly new scientific field, launched by the discovery of Channelrhodopsin 2 just over 15 years ago. Channelrhodopsin 2 is a light-gated ion channel found in the green alga Chlamydomonas reinhardtii. In optogenetics, researches use these light-gated ion channels like Channelrhodopsin 2 by heterologously expressing them in cells and tissues of other organisms, which can then be stimulated by the application of light. This is most useful when studying neurons, as these channels provide an almost non-invasive tool to depolarize the neuronal plasma membranes at will. The goal of this thesis was to develop an optogenetic tool, which would be able to influence and phase shift the circadian clock of Drosophila melanogaster upon illumination. A phase shift is the adaptive response of the circadian clock to an outside stimulus that signals a change in the environmental light cycle. An optogenetic tool, able to influence and phase shift the circadian clock predictably and reliably, would open up many new ways and methods of researching the neuronal network of the clock and which neurons communicate to what extent, ultimately synchronizing the network.
The first optogenetic tool to be tested in the circadian clock of Drosophila melanogaster was ChR2-XXL, a channelrhodopsin variant with dramatically increased expression levels and photocurrents combined with a prolonged open state. The specific expression of ChR2-XXL and of later constructs was facilitated by deploying the three different clock-specific GAL4-driver lines, clk856-gal4, pdf-gal4 and mai179-gal4. Although ChR2-XXL was shown to be highly effective at depolarizing neurons, these stimulations proved to be unable to significantly phase shift the circadian clock of Drosophila. The second series of experiments was conducted with the conceptually novel optogenetic tools Olf-bPAC and SthK-bPAC, which respectively combine a cyclic nucleotide-gated ion channel (Olf and SthK) with the light-activated adenylyl-cyclase bPAC. These tools proved to be quite useful when expressed in the motor neurons of instar-3 larvae of Drosophila, paralyzing the larvae upon illumination, as well as affecting body length. This way, these new tools could be precisely characterized, spawning a successfully published research paper, centered around their electrophysiological characterization and their applicability in model organisms like Drosophila. In the circadian clock however, these tools caused substantial damage, producing severe arrhythmicity and anomalies in neuronal development. Using a temperature-sensitive GAL80-line to delay the expression until after the flies had eclosed, yielded no positive results either. The last series of experiments saw the use of another new series of optogenetic tools, modelled after the Olf-bPAC, with bPAC swapped out for CyclOp, a membrane-bound guanylyl-cyclase, coupled with less potent versions of the Olf. This final attempt however also ended up being unsuccessful. While these tools could efficiently depolarize neuronal membranes upon illumination, they were ultimately unable to stimulate the circadian clock in way that would cause it to phase shift.
Taken together, these mostly negative results indicate that an optogenetic manipulation of the circadian clock of Drosophila melanogaster is an extremely challenging subject. As light already constitutes the most impactful environmental factor on the circadian clock, the combination of chronobiology with optogenetics demands the parameters of the conducted experiments to be tuned with an extremely high degree of precision, if one hopes to receive positive results from these types of experiments at all.
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.
The transcription factor 12 (tcf12) is a basic Helix-Loop-Helix protein (bHLH) of the E-protein family, proven to play an important role in developmental processes like neurogenesis, mesoderm formation, and cranial vault development. In humans, mutations in TCF12 lead to craniosynostosis, a congenital birth disorder characterized by the premature fusion of one or several of the cranial sutures. Current research has been primarily focused on functional studies of TCF12, hence the cellular expression profile of this gene during embryonic development and early stages of ossification remains poorly understood. Here we present the establishment and detailed analysis of two transgenic tcf12:EGFP fluorescent zebrafish (Danio rerio) reporter lines. Using these transgenic lines, we analyzed the general spatiotemporal expression pattern of tcf12 during different developmental stages and put emphasis on skeletal development and cranial suture patterning. We identified robust tcf12 promoter-driven EGFP expression in the central nervous system (CNS), the heart, the pronephros, and the somites of zebrafish embryos. Additionally, expression was observed inside the muscles and bones of the viscerocranium in juvenile and adult fish. During cranial vault development, the transgenic fish show a high amount of tcf12 expressing cells at the growth fronts of the ossifying frontal and parietal bones and inside the emerging cranial sutures. Subsequently, we tested the transcriptional activity of three evolutionary conserved non-coding elements (CNEs) located in the tcf12 locus by transient transgenic assays and compared their in vivo activity to the expression pattern determined in the transgenic tcf12:EGFP lines. We could validate two of them as tcf12 enhancer elements driving specific gene expression in the CNS during embryogenesis. Our newly established transgenic lines enhance the understanding of tcf12 gene regulation and open up the possibilities for further functional investigation of these novel tcf12 enhancer elements in zebrafish.
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.
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.
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.