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Functional roles of COMP and TSP-4 in articular cartilage and their relevance in osteoarthritis
(2020)
Osteoarthritis (OA) is a slowly progressing disease, resulting in the degradation of cartilage and the loss of joint functionality. The cartilage extracellular matrix (ECM) is degraded and undergoes remodelling in OA progression. Chondrocytes start to express degrading proteases but are also reactivated and synthesise ECM proteins. The spectrum of these newly synthesised proteins and their involvement in OA specific processes and cartilage repair is hardly investigated.
Human articular cartilage obtained from OA patients undergoing knee replacement surgery was evaluated according to the OARSI histopathology grading system. Healthy, non-OA cartilage samples were used as controls. The expression and distribution of thrombospondin-4 (TSP-4) and the closely related COMP were analysed on the gene level by PCR and on the protein level by immunohistology and immunoblot assays. The potential of TSP-4 as a diagnostic marker was evaluated by immunoblot assays, using serum samples from OA patients and healthy individuals. The functional role of both proteins was further investigated in in vitro studies using chondrocytes isolated from femoral condyles of healthy pigs. The effect of COMP and TSP-4 on chondrocyte migration and attachment was investigated via transwell and attachment assays, respectively. Moreover, the potential of COMP and TSP-4 to modulate the chondrocyte phenotype by inducing gene expression, ECM protein synthesis and matrix formation was investigated by immunofluorescence staining and qPCR. The activation of cartilage relevant signalling pathways was investigated by immunoblot assays.
These results showed for the first time the presence of TSP-4 in articular cartilage. Its amount dramatically increased in OA compared to healthy cartilage and correlated positively with OA severity. In healthy cartilage TSP-4 was primarily found in the superficial zone while it was wider distributed in the middle and deeper zones of OA cartilage. The amount of specific TSP-4 fragments was increased in sera of OA patients compared to healthy controls, indicating a potential to serve as an OA biomarker. COMP was ubiquitously expressed in healthy cartilage but degraded in early as well as re-expressed in late-stage OA. The overall protein levels between OA severity grades were comparable. Contrary to TSP-4, COMP was localised primarily in the upper zone of OA cartilage, in particular in areas with severe damage. COMP could attract chondrocytes and facilitated their attachment, while TSP-4 did not affect these processes. COMP and TSP 4 were generally weak inducers of gene expression, although both could induce COL2A1 and TSP-4 additionally COL12A1 and ACAN after 6 h. Correlating data were obtained on the protein level: COMP and TSP-4 promoted the synthesis and matrix formation of collagen II, collagen IX, collagen XII and proteoglycans. In parallel, both proteins suppressed chondrocyte hypertrophy and dedifferentiation by reducing collagen X and collagen I. By analysing the effect of COMP and TSP-4 on intracellular signalling, both proteins induced Erk1/2 phosphorylation and TSP-4 could further promote Smad2/3 signalling induced by TGF-β1. None of the two proteins had a direct or modulatory effect on Smad1/5/9 dependent signalling.
In summary, COMP and TSP-4 contribute to ECM maintenance and repair by inducing the expression of essential ECM proteins and suppressing chondrocyte dedifferentiation. These effects might be mediated by Erk1/2 phosphorylation. The presented data demonstrate an important functional role of COMP and TSP-4 in both healthy and OA cartilage and provide a basis for further studies on their potential in clinical applications for OA diagnosis and treatment.
Netzwerkmodelle spielen in verschiedenen Wissenschaftsdisziplinen eine wichtige Rolle und dienen unter anderem der Beschreibung realistischer Graphen.
Sie werden häufig als Zufallsgraphen formuliert und stellen somit Wahrscheinlichkeitsverteilungen über Graphen dar.
Meist ist die Verteilung dabei parametrisiert und ergibt sich implizit, etwa über eine randomisierten Konstruktionsvorschrift.
Ein früher Vertreter ist das G(n,p) Modell, welches über allen ungerichteten Graphen mit n Knoten definiert ist und jede Kante unabhängig mit Wahrscheinlichkeit p erzeugt.
Ein aus G(n,p) gezogener Graph hat jedoch kaum strukturelle Ähnlichkeiten zu Graphen, die zumeist in Anwendungen beobachtet werden.
Daher sind populäre Modelle so gestaltet, dass sie mit hinreichend hoher Wahrscheinlichkeit gewünschte topologische Eigenschaften erzeugen.
Beispielsweise ist es ein gängiges Ziel die nur unscharf definierte Klasse der sogenannten komplexen Netzwerke nachzubilden, der etwa viele soziale Netze zugeordnet werden.
Unter anderem verfügen diese Graphen in der Regel über eine Gradverteilung mit schweren Rändern (heavy-tailed), einen kleinen Durchmesser, eine dominierende Zusammenhangskomponente, sowie über überdurchschnittlich dichte Teilbereiche, sogenannte Communities.
Die Einsatzmöglichkeiten von Netzwerkmodellen gehen dabei weit über das ursprüngliche Ziel, beobachtete Effekte zu erklären, hinaus.
Ein gängiger Anwendungsfall besteht darin, Daten systematisch zu produzieren.
Solche Daten ermöglichen oder unterstützen experimentelle Untersuchungen, etwa zur empirischen Verifikation theoretischer Vorhersagen oder zur allgemeinen Bewertung von Algorithmen und Datenstrukturen.
Hierbei ergeben sich insbesondere für große Probleminstanzen Vorteile gegenüber beobachteten Netzen.
So sind massive Eingaben, die auf echten Daten beruhen, oft nicht in ausreichender Menge verfügbar, nur aufwendig zu beschaffen und zu verwalten, unterliegen rechtlichen Beschränkungen, oder sind von unklarer Qualität.
In der vorliegenden Arbeit betrachten wir daher algorithmische Aspekte der Generierung massiver Zufallsgraphen.
Um Anwendern Reproduzierbarkeit mit vorhandenen Studien zu ermöglichen, fokussieren wir uns hierbei zumeist auf getreue Implementierungen etablierter Netzwerkmodelle,
etwa Preferential Attachment-Prozesse, LFR, simple Graphen mit vorgeschriebenen Gradsequenzen, oder Graphen mit hyperbolischer (o.Ä.) Einbettung.
Zu diesem Zweck entwickeln wir praktisch sowie analytisch effiziente Generatoren.
Unsere Algorithmen sind dabei jeweils auf ein geeignetes Maschinenmodell hin optimiert.
Hierzu entwerfen wir etwa klassische sequentielle Generatoren für Registermaschinen, Algorithmen für das External Memory Model, und parallele Ansätze für verteilte oder Shared Memory-Maschinen auf CPUs, GPUs, und anderen Rechenbeschleunigern.
The requirement of the versatile signal generator has always been evident in modern RF and communication systems. The most conventional technique, voltage control oscillator (VCO), has inferior phase noise and narrow bandwidth despite its operating frequency can be up to the sub-THz regime. Its phase noise influenced by a various parameter associated with the oscillator circuit e.g. transistor size \& noise, bias current, noise leaking from the bias supply etc. The bandwidth is limited because the input voltage \& the output frequency of the VCO is not strictly linear over the tuning range. The phase noise and SFDR of the VCO output are enhanced by using the phase-lock technique. The phase-locked loop (PLL) uses the feedback system locking the reference frequency set by the VCO. However, the settling time of the PLL is higher due to a feedback control loop. The higher settling time increases the frequency switching time between PLL outputs. IG-oscillators is suitable for multi-GHz range and wide bandwidth application. Signal generation can alos be achieved by the free-electron radiation, optical lasers, Gunn diodes as well and they can operate even at the THz domain. All these signal generators suffer from slow frequency switching, lack of digital controllability, and advance modulation capability even though their frequency of operation is THz regime. Alternatively, the AWG (arbitrary wave generator) can produce a wide range of frequencies with low phase noise, including digital controllability. One of the vital components of the AWG is the direct digital synthesiser (DDS). Generally, it is composed of a phase accumulator, digital to analogue converter, sine mapping circuits and low pass filter. It needs a reference clock that acts as samples of the DDS outputs. Its output frequency can be varied by applying an appropriate digital input code. But high-speed DDS has several limitations; such as low number of output frequency points, lack of phase control unit, high power consumptions etc. This work addresses such limitations.
This Ph.D. thesis demonstrates i) the highly precise performance of refined and new analytical setups for clumped isotope analysis (Δ47 and Δ48) and ii) the applicability of clumped isotope analyses to biogenic and abiogenic carbonated apatite (Δ47) and abiogenic carbonates (Δ47 and Δ48) for research related to paleothermophysiology and paleoclimatology, whereas the overall analytical precision has been increased.
A comprehensive Δ47 dataset with 122 replicate analyses is provided from which the temperature dependence of Δ47 for (bio)apatite (Δ47-1/T2) is calculated between 1 °C and 80 °C. The temperature dependence of oxygen isotope equilibrium fractionation between carbonated synthetic apatite and water (1,000ln(αCHAP-H2O)) is experimentally determined. When applied to tooth enameloid from a modern Greenland shark (Somniosus microcephalus), a Late Miocene megatooth shark (Carcharodon megalodon), and an Upper Cretaceous Tyrannosaurus rex, reconstructed Δ47-based temperatures and δ18OH2O are in line with previously published data.
An analytical setup for highly precise clumped isotope analysis is described that allows for the simultaneous measurement of ∆47 and ∆48 in CO2 with external reproducibilities close to the respective shot-noise limits. The analyte gases originate from pure carbonates that were digested in hypersaturated orthophosphoric acid and purified using a fully automated device. Δ47 data sets with 117 replicate analyses in total on 22 pedogenic carbonate nodules from two Spanish Middle Miocene sections reveal the continental Southern European thermal structure during the end of the Middle Miocene Climatic Optimum (MCO) and the complete Middle Miocene Climatic Transition (MMCT; from 15.33 to 12.98 Ma).
Correct cellular function is ensured by a complex network of proteins and enzymes, regulating protein synthesis and degradation. This protein network, maintaining the so-called protein homeostasis, regulates those processes on multiple levels, producing new or degrading old proteins to cope with changing intra- and extracellular environments. Disturbance of this tightly regulated machinery can have severe effects on the cell and can lead to a variety of pathologies on organism level. Diseases including cancer, neurodegeneration and infections are associated with causative or consequent alterations in protein homeostasis. To understand the pathologies of these diseases, it is therefore critical to examine how perturbations of protein homeostasis affect cellular pathways and physiology. In the recent years, analysis of protein homeostasis networks has resulted in the development of novel therapeutic approaches. However, for many factors it remains unclear how the cell is affected, if they are disturbed. Protein synthesis and degradation represent immediate responses of the cell to changes and need to be studied in the right timeframe, making them difficult to access by common methodology. In this work we developed a new mass spectrometry (MS) based method to study protein synthesis and degradation on a system-wide scale. Multiplexed enhanced protein dynamic (mePROD) MS was developed, overcoming these limitations by special sample mixing and novel data analysis protocols. MePROD thereby enables the measurement of rapid and transient (e.g. minutes) changes in protein synthesis of thousands of proteins. During responses of the cell to stressors (e.g. protein misfolding, oxidation or infection), two major pathways regulate the protein synthesis: the Integrated Stress Response (ISR) and mammalian target of rapamycin (mTOR). Both pathways have been connected with various diseases in the past and are common therapy targets. Although both pathways target protein synthesis in stress responses, the set of targets regulated by these pathways was believed to differ. Through the new mePROD MS method we could measure a comprehensive comparison of both pathways for the first time, revealing comparable system-wide patterns of regulation between the two pathways. This changed the current view on the regulation elicited by these pathways and furthermore represents a useful resource for the whole field of research. We could further develop the mePROD method and decrease MS measurement time needed to obtain an in-depth dataset. Through implementation of logic based instrument methods, it was possible to enhance the number of measured proteins by approximately three-fold within the same measurement time.
The dynamics of protein synthesis and degradation are frequently modulated by pathogens infecting the cell to promote pathogen replication. At the same time, the cell counteracts the infection by modulating protein dynamics as well. To develop useful therapy approaches to fight infections, it therefore is necessary to understand the complex changes within the host cell during infections on a system-wide scale. In 2019, a novel coronavirus spread around the world, causing a world-wide health-crisis. To better understand this novel virus and its infection of the host cell we conducted a study applying the mePROD methodology and classical proteomics to characterize the dynamic changes during the infection course in vitro. We discovered that the infection remodeled a diverse set of host cell pathways (e.g. mRNA splicing, glycolysis, DNA synthesis and protein homeostasis) and thereby showed possible targets for antiviral therapy. By targeted inhibition of these pathways, we could observe that these pathways indeed are necessary for SARS-CoV-2 replication and their inhibition could reduce viral load in the cells. Another experimental approach focused on the dynamic changes of protein modification, namely phosphorylation, after infection with SARS-CoV-2. Here, we could show the very important participation of growth factor signaling pathways in viral proliferation. Both studies together revealed critical pathways that are needed for the viral proliferation and hence are promising candidates for further therapies. Subsequent targeting of these pathways by either already approved drugs (Ribavirin and Sorafenib) or drugs in clinical trials (2-deoxyglucose, Pladienolide-B, NMS-873, Pictilisib, Omipalisib, RO5126766 and Lonafarnib) could block viral replication in vitro and suggests important clinical approaches targeting SARS-COV-2 infection.
Diese Arbeit beschäftigt sich mit linearen inversen Problemen, wie sie in einer Vielzahl an Anwendungen auftreten. Diese Probleme zeichnen sich dadurch aus, dass sie typischerweise schlecht gestellt sind, was in erster Linie die Stabilität betrifft. Selbst kleinste Messfehler haben enorme Konsequenzen für die Rekonstruktion der zu bestimmenden Größe.
Um eine robuste Rekonstruktion zu ermöglichen, muss das Problem regularisiert, dass heißt durch eine ganze Familie abgeänderter, stabiler Approximationen ersetzt werden. Die konkrete Wahl aus der Familie, die sogenannte Parameterwahlstrategie, stützt sich dann auf zusätzliche ad hoc Annahmen über den Messfehler. Typischerweise ist dies im deterministischen Fall die Kenntnis einer oberen Schranke an die Norm des Datenfehlers, oder im stochastischen Fall, die Kenntnis der Verteilung des Fehlers, beziehungsweise die Einschränkung auf eine bestimmte Klasse von Verteilungen, zumeist Gaußsche. In der vorliegenden Arbeit wird untersucht, wie sich diese Informationen unter der Annahme der Wiederholbarkeit der Messung gewinnen lassen. Die Daten werden dabei aus mehreren Messungen gemittelt, welche einer beliebigen, unbekannten Verteilung folgen, wobei die zur Lösung des Problems unweigerlich notwendige Fehlerschranke geschätzt wird. Auf Mittelwert und Schätzer wird dann ein klassisches Regularisierungsverfahren angewandt. Als Regularisierungen werden größtenteils Filter-basierte Verfahren behandelt, die sich auf die Spektralzerlegung des Problems stützen. Als Parameterwahlstrategien werden sowohl einfache a priori-Wahlen betrachtet, als auch das Diskrepanzprinzip als adaptives Verfahren. Es wird Konvergenz für unbekannte beliebige Fehlerverteilungen mit endlicher Varianz sowie für Weißes Rauschen (bezüglich allgemeiner Diskretisierungen) nachgewiesen. Schließlich wird noch die Konvergenz des Diskrepanzprinzips für ein stochastisches Gradientenverfahren gezeigt, als erste rigorose Analyse einer adaptiven Stoppregel für ein solches nicht Filter-basiertes Regularisierungsverfahren.
Development of treatment strategies of chronic inflammatory disorders relies on on-going progress in drug discovery approaches and related molecular biologics. This study presents a gene reporter-based approach of phenotypic screening for anti-inflammatory compounds in the context of rheumatoid arthritis (RA).
CEBPD gene, used as the target gene for the screening readout, encodes CCAAT/enhancer binding protein delta (C/EBPδ) transcription factor (TF). Structural and regulatory characteristics of CEBPD gene as well as function of C/EBPδ TF in the context of inflammation satisfied assay requirements. C/EBPδ TF acts as a key regula-tor of inflammatory gene transcription in macrophages (Mϕ) and is observed to con-tribute to disease development in both a rodent model of RA and RA patient biopsies.
Despite well-described pro-inflammatory effects of C/EBPδ TF, it functions as a cell context-specific signal integrator showing also an anti-inflammatory activity. Conse-quently, both activation and inhibition of CEBPD alike may display a desired anti-inflammatory effect. The aim of this study was to develop a high-throughput screening assay for
CEBPD-modulating compounds and confirm hit compounds’ anti-inflammatory effects via gene expression analysis.
Generation and characterization of a multi-gene-reporter cassette 1.0 encoding enzy-matic secreted alkaline phosphatase (SEAP) gene reporter was a priority during the assay development. Chemiluminescent SEAP assay demonstrating high assay sensitivi-ty, broad linear range, high reproducibility and repeatability was chosen to monitor activity of the defined CEBPD promoter (CEBPD::SEAP). PMA-differentiated and M1-polarized THP-1-derived Mϕ stably expressing multi-gene-reporter cassette 1.0 were used as the assay’s cellular system. mRNA expression of both reporter CEBPD::SEAP and endogenous CEBPD mirrored each other in response to a LPS and IFN-g-triggered inflammatory stimulus (M1 treatment), even though the defined CEBPD promoter re-gion, utilized in the assay, contained only the most proximal and known regulatory se-quences. SEAP chemiluminescence in the reporter cells´ supernatant reliably correlat-ed with the M1 treatment-induced CEBPD::SEAP gene expression. The final screening protocol was developed for semi-automatic screening in the 384-well format.
In total, 2054 compounds from LOPAC®1280 and ENZO®774 libraries were screened twice
using the enzymatic SEAP readout with subsequent analysis of 18 selected compounds: nine with the highest and nine with the lowest signals, further characterized by qPCR. Gene expression levels of endogenous CEBPD, CEBPD::SEAP reporter as well as, IL-6,
IL-1β, and CCL2 as inflammatory markers were quantified. qPCR assays failed to corre-late to SEAP readout in 15 compounds within three standard deviations (SDs) from sol-vent control: nine low signal and six high signal compounds. Demonstrating both assay sensitivity and specificity, a correlation between qPCR gene expression and SEAP readout was observed for three hit compounds with signals above three SDs: BET inhib-itors (BETi) GSK 1210151A and Ro 11-1464 as well as an HDAC inhibitor (HDACi) vori-nostat. The control compound trichostatin A (TSA) that reproducibly upregulated SEAP readout is also an HDAC inhibitor with a similar structure to vorinostat and was there-fore included in the anti-inflammatory phenotype analysis.
The observed suppression of IL-6, IL-1ß, and CCL2 gene expression by hit compounds suggested their anti-inflammatory effect in THP-1 reporter Mϕ. mRNA expression of
IL-6 and CCL2 was suppressed by HDACi and BETi at both 4 and 24 hours, while BETi reduced IL-1β mRNA expression 24 hour time point. BETi significantly upregulated gene expression of both reporter CEBPD::SEAP and endogenous CEBPD, 4 hours after M1 treatment. At the same time point, HDACi completely abolished the mRNA expres-sion of the endogenous CEBPD, while simultaneously upregulating mRNA expression of the reporter CEBPD::SEAP. The use of the most proximal 300 base pairs region of en-dogenous CEBPD promoter, making the upstream regulatory elements unavailable in the assay, may account for differential expression levels of SEAP and C/EBPδ TF. This observation corroborated the need to include a longer and more extensive CEBPD´s gene regulatory area. Thus, an improved multi-gene-reporter cassette 2.0 was gener-ated to be used on the basis of a bacterial artificial chromosome (BAC) covering CE-BPD´s genomic area of about 200,000 base pairs.
The generated screening assay is flexible, reliable, and sensitive displaying potential for drug discovery and drug repurposing. The pharmacological modulation of CEBPD gene expression, first reported for GSK 1210151A, Ro 11-1464, and vorinostat, contrib-utes to the understanding of inflammatory responses in Mϕ and may have RA thera-peutic applications.
Background: Previous studies have demonstrated that CF (Cystic Fibrosis) prognosis is dependent of three major parameters: FEV1 (Forced Expiratory Pressure in one second), BMI (Body Mass Index) and need of intravenous antibiotic therapy. The CF centres of Frankfurt, Germany, and Moscow, Russia, care for cystic fibrosis patients. We decided to investigate and compare both centers from 1990 to 2015. No comparable study has been published so far.
Method: German patient data was collected from the national cystic fibrosis database “Muko.web”. Missing values were extracted from the Hospital Information System. Russian patient data were taken directly from the medical records in Moscow. In a descriptive statistical analysis with Bias and R Studio the values were compared.
Result: A total of 428 patients from Moscow (217 male, 211 female; 348 (81,3%) were P. aeruginosa positive) and 159 patients from Frankfurt (92 male, 67 female; 137 (86,2%) with P. aeruginosa positive) were compared with regard to P. aeruginosa positivity, BMI, FEV1 and need of intravenous antibiotic therapy. CF patients in Moscow stratified by age groups had lower BMI than CF patients in Frankfurt (age 16-18: p=0,003; age 19-22: p=0,004; age 23-29: p<0,001; age 30-35: p<0,001; age 36-66: p=0,024). In a matching pairs analysis including 100 patients from Frankfurt and 100 patients from Moscow for the year 2015 FEV1 was significantly lower in Moscow patients (p<0,001).
Conclusion: BMI, FEV1 and need of intravenous therapy have significant impact on survival and on quality of life of CF patients. A lower BMI and a lower FEV1 result in a worse survival and determine the prognosis. This study showed a significant difference in prognostic parameters between Frankfurt and Moscow in the crosssectional analysis for the year 2015. A further study should evaluate this difference to show whether this difference will be found over a longer period of time.
Ubiquitination is regarded as one of the key post-translational modifications in nearly all biological processes, endowed with numerous layers of complexity. Deubiquitinating enzymes (DUBs) dynamically counterbalance ubiquitination events by deconjugating ubiquitin signals from substrates. Dysregulation of the ubiquitin code and its negative regulators drive various pathologies, such as neurological disorders and cancer.
The DUB ubiquitin-specific peptidase 22 (USP22) is well-known for its essential role in the human Spt-Ada-Gcn5 acetyltransferase (SAGA) complex, mediating the removal of monoubiquitination events from Histone 2A and 2B (H2A and -B), thereby regulating gene transcription. In cancer, USP22 was initially described as a part of an 11-gene expression signature profile, predicting tumor metastasis, reoccurrence and death after therapy in a wide range of tumor cells. However, novel roles for USP22 have emerged recently, accrediting USP22 essential roles in regulating tumor development as well as apoptotic cell death signaling.
One of the hallmarks of cancer is the evasion of cell death, especially apoptosis, a form of programmed cell death (PCD). Necroptosis, a regulated form of necrosis, is regarded as an attractive therapeutic strategy to overcome apoptosis-resistance in tumor cells, although a profound understanding of the exact signaling cascade still remains elusive. Nevertheless, several ubiquitination and deubiquitination events are described in fine-tuning necroptotic signaling.
In this study, we describe a novel role for USP22 in regulating necroptotic cell death signaling in human tumor cell lines. USP22 depletion significantly delayed TNFa/Smac mimetic/zVAD.fmk (TBZ)-induced necroptosis, without affecting TNFa-induced nuclear factor-kappa B (NF-KB) signaling or TNFa-mediated extrinsic apoptosis. Intriguingly, re-expression of USP22 wildtype in the USP22 knockout background could re-sensitize HT-29 cells to TBZ-induced necroptosis, whereas re-constitution with the catalytic inactive mutant USP22 Cys185Ser did not rescue susceptibility to TBZ-induced necroptosis, confirming the USP22 DUB-function a pivotal role in regulating necroptotic cell death. USP22 depletion facilitated ubiquitination and unexpectedly also phosphorylation of Receptor-interacting protein kinase 3 (RIPK3) during necroptosis induction, as shown by Tandem Ubiquitin Binding Entities (TUBE) pulldowns and in vivo (de)ubiquitination immunoprecipitations. To substantiate our findings, we performed mass-spectrometric ubiquitin remnant profiling and identified the three novel USP22-regulated RIPK3 ubiquitination sites Lysine (K) 42, K351 and K518 upon TBZ-induced necroptosis. Further assessment of these ubiquitination sites unraveled, that mutation of K518 in RIPK3 reduced necroptosis-associated RIPK3 ubiquitination and additionally affected RIPK3 phosphorylation upon necroptosis induction. At the same time, genetic knock-in of RIPK3 K518R sensitizes tumor cells to TNFa-induced necroptotic cell death and amplified necrosome formation.
In summary we identified USP22 as a new regulator of TBZ-induced necroptosis in various human tumor cell lines and further unraveled the distinctive role of DUBs and (de)ubiquitination events in controlling programmed cell death signaling.
Formulation scientists have developed a toolkit of strategies that can improve the solubility and subsequent bioavailability of poorly soluble candidates. Amorphous formulations are especially appealing due to the significant improvement in solubility the amorphous form can provide, but must be stabilized for effective performance (Timpe, 2007).
2. The Importance of Drug Polymer Interactions in Precipitation Inhibition
Polymeric “precipitation inhibitors” have seen widespread usage in the literature (Warren, 2010). The precipitation inhibition effect of polymers on precipitations is related to interference with nucleation and crystal growth (Xu, 2013). Many techniques have been reported in the literature to predict these interactions, however, they are not suitable to screening due to API and time resources required, which are not amenable to early stage pharmaceutical development.
3. Mesoporous Silica: An Emerging Formulation Technology
Mesoporous silicon dioxide has emerged in recent years as a new option for stabilizing the amorphous form. Upon impregnation of the silica with a concentrated drug solution, the drug can be molecularly adsorbed and locally and sterically confined, preventing recrystallization (Ditzinger, 2018). Upon administration of mesoporous silica formulations to the body the amorphous formulation generates supersaturation which must be stabilized using precipitation inhibitors (Guzman, 2007).
4. Co-incorporation: A New Method to Combine Precipitation Inhibitors with Mesoporous Silica
There has been no systematic study of how best to incorporate precipitation inhibitors into mesoporous silica formulations. The current standard practice involves combining inhibitors in a physical mixture with the drug-loaded silica, either by pestle and mortar or overhead stirring. Due to the lack of a defined protocol, there is uncertainty about how reliably the precipitation inhibitor is combined with the drug-loaded silica on a batch to batch basis. In this work, a novel co-incorporated formulation of glibenclamide and the precipitation inhibitor, HPMCAS, onto mesoporous silica was described. By co-incorporating the precipitation inhibitor, the formulation significantly outperformed the commonly applied simple physical blend due to the formation of drug-polymer interactions in the solid state.
5. In Silico Pharmaceutics: A New Method to Select Precipitation Inhibitors for Mesoporous Silica
An approach that can incorporate understanding of the drug-polymer interactions with a quick and efficient screening process would be very useful. The COnductor like Screening MOdel for Real Solvents (COSMO-RS) is a quantum mechanical theory, which can be used to derive thermodynamic properties of interest. (Klamt, 1993, 1995, 2003). We proposed excess mixing enthalpies of drug and polymer could be calculated using the COSMO-RS theory. This new approach was applied to screen precipitation inhibitors for three model compounds, all of which showed a strong positive correlation between the rank assigned based on the calculated free enthalpy of mixing and the overall formulation performance.
6. Conclusion
This body of work aimed to improve the processes underpinning the design and development of mesoporous silica with precipitation inhibitors. Firstly, this involved two extensive literature reviews in the area of solubility enhancement formulation technologies and precipitation inhibition. Secondly, a mechanistic rational and experimental approach was developed to improve the formulation of precipitation inhibitors with mesoporous silica, the “co-incorporation” approach significantly improved process efficiency and formulation performance. Finally, combining insights from the aforementioned review, and learnings from the mechanistic analysis of the “co-incorporation” approach, an in silico screening protocol was developed to calculate the enthalpy of interaction between drug and polymer, to identify the most optimal precipitation inhibitor for a given formulation.
The dodecin of Mycobacterium tuberculosis : biological function and biotechnical applications
(2020)
Biological Function of Bacterial Dodecins
In this thesis, the dodecins of Mycobacterium tuberculosis (MtDod), Streptomyces coelicolor (ScDod) and Streptomyces davaonensis (SdDod) were studied. Kinetic measurements of the flavin binding of MtDod revealed that the dodecin binding pocket is filled in two distinct steps, for which a kinetic model then was established and verified by experimental data. The analysis with the two-step model showed that the unique binding pocket of dodecins allows them to bind excessive amounts of flavins, while at low flavin concentrations, flavin is released and only weakly bound. This function of flavin buffering prevents accumulation of free oxidised flavins and therefore helps to keep the redox balance of the cell and prevents potential cell damage caused by excessive free flavins. To further gain insights into the role of bacterial dodecins, the effect of knocking out the dodecin encoding gene in S. davaonensis was analysed. The knockout strain showed increased concentrations of various stress related metabolites, indicating that without dodecin the cellular balance is disrupted, which supports the role of dodecins as a flavin homeostasis factor.
With a self-designed affinity measurement method based on the temperature dependent dissociation of the dodecin:flavin complex, which allowed parallel screening of multiple conditions, it was shown that MtDod, ScDod and SdDod have much higher affinities towards FMN and FAD under acidic conditions. Under these conditions, the three dodecins might function as a FMN storage. M. tuberculosis encounters multiple acidic environments during its infection cycle of humans and can adopt a state of dormancy. During recovery from the dormant state, a flavin storage might be beneficial. For some Streptomyces species it was reported that the formed spores are slightly acidic and therefore ScDod and SdDod could function as flavin storages for the spores. Further details on the flavin binding mechanism of MtDod were revealed by a mutagenesis study, identifying the importance of a histidine residue at the fourth position of the protein sequence for flavin binding, but contrary to expectations, this residue seems only to be partly involved in the pH related affinity shift.
The data, reported in this thesis, demonstrates that bacterial dodecins likely function as flavin homeostasis factors, which allow overall higher flavin pools in the cell without disrupting the cellular balance. Further, the reported acid-dependent increase in binding affinity suggests that under certain conditions bacterial dodecins can also function as a flavin storage system.
Application of the Dodecin of M. tuberculosis
In this thesis, the stability of MtDod, ScDod SdDod and HsDod was analysed to find a suitable dodecin for the use as a carrier/scaffold. Therefore, a method to easily measure the stability of dodecins was designed, which measures the ability of the dodecamer to rebind flavins after a heating phase with stepwise increasing temperatures. Using this assay and testing the stability against detergents by SDS PAGE, showed that the dodecamer of MtDod possesses an excellent stability against a vast array of conditions, like temperatures above 95 °C, low pH and about 2% SDS. By solving the crystal structure of ScDod and SdDod, the latter forming a less stable dodecamer, combined with a mutagenesis study, the importance of a specific salt bridge for dodecamer stability was revealed and might be helpful to find further highly stable dodecins.
In addition to the intrinsic high stability of the MtDod dodecamer, also the robustness of the fold was tested by creating diverse MtDod fusion constructs and producing them in Escherichia coli. Here it was shown that MtDod easily tolerates the attachment of proteins up to 4-times of its own size and that both termini can be modified without affecting the dodecamer noticeably. Further, it was shown that MtDod and many MtDod fusion constructs could be purified in high yields via a protocol based on the removal of E. coli proteins through heat denaturation and subsequent centrifugation. In a case study, by fusing diverse antigens from mostly human proteins to MtDod and using these constructs to produce antibodies in rabbits, it was demonstrated that MtDod is immunogenic and presents the attached antigens to the immune system.
The here reported properties of MtDod and to a lesser degree of other bacterial dodecins, show that bacterial dodecins are a valuable addition to the pool of scaffold and carrier proteins and have great potential as antigen carriers.
Current research on medical biomaterials have shown that the physical and chemical characteristics of biomaterials determine the body inflammatory cellular reaction after their implantation. The aim of this study was to evaluate the individual effects of the physical characteristics over the initial biomaterial-cellular interaction and the inflammatory cellular reaction. For this purpose, an equine-derived collagen hemostatic sponge (E-CHS) was modified by pressing and evaluated using ex vivo, in vitro and in vivo methods.
The E-CHS was pressed by applying constant pressure (6.47± 0.85 N) for 2 min using a sterile stainless-steel cylinder and cut in segments of 1cm2. Subsequently, E-CHS and the pressed equine-derived collagen hemostatic sponge (P-E-CHS) were studied as two independent biomaterials and compared to a control group (CG).
A blood concentrate containing inflammatory cells known as platelet rich fibrin (PRF) was used to mimic the initial biomaterial-cell interaction and to measure the absorption coefficient of the biomaterials to liquid PRF (iPAC). Additionally, the biomaterials were cultivated together with PRF for 3 and 6 days to measure the induction of pro-inflammatory cytokines (TNF-α and IL-8). The results were obtained through enzyme-linked immunosorbent assay (ELISA) and histological methods. PRF cultivated without biomaterials served as the CG. Additionally, the biomaterials were evaluated in vivo using a subcutaneous model in Wistar rats and compared to sham operated animals (CG) representing physiologic wound healing. After 3, 15 and 30 days, the explanted samples were evaluated using histochemical and immunohistochemical (IHC) staining using the following markers: CD68 (pan macrophages), CCR7 (pro-inflammatory macrophages, M1), CD206 (pro-wound healing macrophages, M2) and α-Smooth Muscle Actin (α-SMA; vessel identification).
After the mixture of liquid PRF with both biomaterials for 15 minutes, the ex vivo results showed that E-CHS was penetrated by cells, whereas P-E-CHS was cell-occlusive. Additionally, P-E-CHS induced a higher release of pro-inflammatory cytokines compared to liquid PRF alone (CG) and E-CHS after 3 days (P< 0.05). Although the biomaterial was pressed, the difference of the iPAC value did not show statistical differences. In vivo, the CG induced at day 3 a higher inflammatory response compared to the experimental groups (EG) (P< 0.05). The intergroup comparison showed that P-E-CHS induced a higher presence of macrophages (CD68+/CC7+) compared to E-CHS at day 3 (P< 0.05). Only CD68+/CCR7+ mononuclear cells (MNCs) were observed without multinucleated giant cells (MNGCs). After 15 days, the presence of macrophages (CD68+ P<0.01 /CCR7+ P<0.001 /CD206+ P<0.05) reduced considerably in the CG. On the contrary, the inflammatory response increased in the EGs (CD68+/CCR7+). The intergroup comparison showed that this increment was statistically significant when comparing E-CHS and P-E-CHS to the CG at day 15 (P<0.01 and P< 0.05 respectively). At this time point, a reduced number of MNGCs were observed in the EGs. In the CG no MNGCs were observed. Furthermore, E-CHS showed a faster degradation rate and was fully invaded by cells and vessels formed in its interior region. On the other hand, P-E-CHS remained occlusive to cell penetration and vessels were formed only in the periphery. After 30 days, the cellular reaction shifted to a higher number of M2 macrophages (CD260+) in all groups and a reduced presence of CD68+ and CCR7+ MNCs. Both biomaterials degraded and only small fragments were found in the implantation bed surrounded by MNGCs (CCR7+).
These results are of high clinical relevance and show that changes in biomaterial properties have a significant impact on their interaction with the body. They also serve as insight into the possibility to develop versatile biomaterials with different applications. For example, E-CHs can be applied to support hemostasis in a bleeding alveolar socket and P-E-CHs by being cell occlusive and having a delayed degradation rate can be applied for guided bone and tissue regeneration.
Diese Thesis befasst sich mit dem Problem korrelierter Elektronensysteme in realen Materialien. Ausgangspunkt hierbei ist die quantenmechanische Beschreibung dieser Systeme im Rahmen der sogenannten Kohn-Scham Dichtefunktionaltheorie, welche die Elektronen der Kristallsysteme als effektiv nicht-wechselwirkende Teilchen beschreibt.
Während diese Modellierung im Falle vieler Materialklassen erfolgreich ist, unterscheiden sich die korrelierten Elektronensysteme dadurch, dass der kollektive Charakter der Elektronendynamik nicht zu vernachlässigen ist.
Um diese Korrelationseffekte genauer zu untersuchen, verwenden wir in dieser Arbeit das Hubbard-Modell, welches mit der projektiven Wannierfunktionsmethode aus der Kohn-Scham Dichtefunktionaltheorie konstruiert werden kann.
Das Hubbard-Modell umfasst hierbei nur die lokale Elektron-Elektron-Wechselwirkung auf einem Gitter. Auch wenn das Modell augenscheinlich sehr simpel ist, existieren exakte Lösungen nur in bestimmten Grenzfällen. Dies macht die Entwicklung approximativer Ansätze erforderlich, wobei die Weiterentwicklung der sogenannten Two-Particle Self-Consistent Methode (TPSC) eine zentrale Rolle dieser Arbeit einnimmt.
Bei TPSC handelt es sich um eine Vielteilchenmethode, die in der Sprache funktionaler Ableitungen und sogenannter conserving approximations hergeleitet werden kann.
Der zentrale Gedanke dabei ist, den effektiven Wechselwirkungsvertex als statisch und lokal zu approximieren. Dies wiederum erlaubt die Bewegungsgleichung des Systems
erheblich zu vereinfachen, sodass eine numerische approximative Lösung des Hubbard-Modells möglich wird. Vorsetzung hierbei ist nur, dass sich das System in der normalleitenden Phase befindet und die bei Phasenübergängen entstehenden Fluktuationen nicht zu groß sind.
Während diese Methode ursprünglich von Y. M. Vilk und A.-M. Tremblay für das Ein-Orbital Hubbard-Modell entwickelt wurde, stellen wir in dieser Arbeit eine Erweiterung auf Viel-Orbital-Systeme vor.
Im Falle mehrerer Orbitale treten in der TPSC-Herleitung einzelne Komplikationen auf, die mit weiteren Approximationen behandelt werden müssen. Diese werden anhand eines einfachen Zwei-Orbital Modell-Systems diskutiert und die TPSC-Ergebnisse werden darüber hinaus mit den Ergebnissen der etablierten dynamischen Molekularfeldnährung verglichen.
In diesem Zusammenhang werden auch mögliche zukünftige Erweiterungen bzw. Verbesserungen von TPSC diskutiert.
Ein weiterer wichtiger Aspekt ist die Anwendung von TPSC auf reale Materialien.
In diesem Zusammenhang werden in dieser Arbeit die supraleitenden Eigenschaften der organischen K-(ET)2X Systeme untersucht. Hierbei lassen die TPSC-Resultate darauf schließen, dass das populäre Dimer-Modell, welches zur Beschreibung dieser Materialien herangezogen wird, nicht genügt um die experimentell bestimmten kritischen Temperaturen zu erklären und dass das komplexere Molekülmodell weitere exotische supraleitende Lösungen zulässt.
Schließlich untersuchen wir außerdem die elektronischen Eigenschaften des eisenbasierten Supraleiters LiFeAs und diskutieren inwieweit nicht-lokale Korrelationseffekte, welche durch TPSC aufgelöst werden können, die experimentellen Daten reproduzieren.
Neuropathic pain, a form of chronic pain, is a steadily rising health problem due to health costs and increasing numbers of patients. Neuropathic pain conditions arise upon metabolic disorders, infections, chemotherapeutic treatment, trauma or nerve injury. Especially nerve injury induced neuropathic pain is characterized by spontaneous or ongoing pain due to neuroimmune interactions. Thereby, inflammatory mediators, released by the injured nerve, recruit to and activate immune cells at the site of injury. Those mediators further activate transient receptor potential vanilloid 1 (TRPV1), a known channel involved in pain perception, or bind to G-protein coupled receptors (GPCR) in peripheral nerve endings. The following activated second messenger signaling pathways lead to sensitization of TRPV1. One of those GPCRs is G2A.
The overall aim of this thesis was to investigate the role of G2A in nerve-injury induced neuropathic pain. For this, the common mouse model of nerve-injury induced neuropathic pain, the spared-nerve injury, was used. As measurements with dynamic plantar aesthesiometer showed, G2A-deficiency leads to reduced mechanical hypersensitivity. Upon analysis with FACS, ELISA and Luminex a reduced number of macrophages and neutrophils at the injured nerve, as well as less inflammatory mediators (TNFα, IL-6, VEGF) in G2A-deficient animals was observed. In dorsal root ganglia (DRGs) there was only a reduced number of macrophages and less IL-12 observed in G2A-deficient animals. Additionally, in wild-type mice, G2A agonist 9-HODE was elevated at the injured nerve, as a LC-MS/MS analysis showed.
To investigate the underlying pathways of G2A-9-HODE signaling, a proteom screen was performed. This screen revealed upregulation of multiple proteins involved in migration in wild-type macrophages. Additionally, Ca-Imaging and transwell migration assays showed that the G2A antagonist G2A11, had desensitizing effects on DRG neurons and inhibited macrophage migration.
Overall, the results suggest that loss of G2A has dual effects. On the one hand loss of G2A is antinociceptive. On the other hand, G2A-deficiency leads to reduced inflammation, suggesting G2A as promising target in treatment of neuropathic pain. Here, an antagonist had inhibitory effects on the migration and the sensitization.
Nature and its constituents are known to affect human well-being in positive and negative ways. Nature can be beneficial for humans by providing, for instance, food, recreation or inspiration. Natural disasters or transmitted diseases are, on the other hand, examples of nature’s detrimental or harmful contributions to human well-being. Such positive as well as negative effects have been termed Nature’s Contributions to People (NCP) by the Intergovernmental Science-Policy Platform for Biodiversity and Ecosystem Services (IPBES) and can be categorized into three different types of contributions: regulating, material and non-material NCP. While regulating and material NCP have been studied extensively, research on the non-material NCP is less common in comparison, especially regarding non-material NCP of biodiversity and wildlife. This dissertation therefore aims at shedding light on the non-material links between biodiversity, wildlife and human well-being. The thesis presents the results of three individual research studies in three separate chapters (CH1, 2 & 3).
In the first chapter (CH1) I conduct a systematic literature review on the non-material contributions of wildlife. Several previous reviews have published overviews on the non-material contributions of wildlife. However, only a few of these reviews examine both the positive and negative effects of wildlife in combination. These reviews usually cover few aspects of human well-being (e.g. recreation, health, psychological well-being) or just focus on a specific group of wildlife species (e.g. carnivores, scavengers). In addition, the pathways determining how wildlife affects human well-being are yet little understood. The aim of this review is therefore to create a holistic overview of the current knowledge on non-material contributions of wildlife (WCP), by summarising research on positive and negative effects and disentangling potential channels of human-wildlife experiences.
My results show that most studies in scientific literature report negative WCP. However, over the last decade the number of publications on positive WCP has increased, mainly in the Global North. This change in research focus, at the turn of the century, may be related to the newly emerging ideas and perspectives on nature during that time (e.g. Ecosystem Services and NCP). The results may also indicate different research interests across global regions and a focus on positive WCP (especially in the Global North). Surprisingly, the review identifies a lack of joint systematic assessments of positive and negative WCP across taxa, human well-being dimensions and ways (channels) of wildlife experiences. Studies show taxon-specific differences, with predominantly positive WCP reported for birds and predominantly negative WCP published for mammals and reptiles. Physical health was the most examined human well-being dimension, while many others, such as subjective well-being, social well-being, learning, identity or sense of place were rarely studied in comparison. The two channels of wildlife experiences that have been mainly studied or reported are Interaction and Knowing. While Interaction describes multisensory experiences in which people physically interact with wildlife. Knowing describes the metaphysical connection between humans and wildlife that arises through thinking or remembering experiences from wildlife encounters (including knowledge about wildlife).
To date, only few published studies examine the relationship between biodiversity and human well-being across larger spatial scales. For instance, little is known about how biodiversity is related to human well-being on the national or continental level. The second and third chapter (CH2 & 3) are thus comprised of two empirical case studies which examine the relationship between biodiversity and human well-being across Germany and Europe, respectively. As indicator for biodiversity, I use different species diversity measures including species richness and abundance. In the second chapter (CH2) I analyse the association between species richness and human health across Germany. The results demonstrate a significant positive relationship between plant and bird species richness and mental health while controlling for a multitude of socio-economic and demographic factors as well as other nature characteristics. In the third chapter (CH3) I conduct the first study on the relationship between species diversity and subjective well-being on the continental level. The results show that bird species richness (unlike mammal, megafauna and tree richness) is positively associated with life-satisfaction, a measure for subjective well-being across Europe. These results are robust while accounting for socio-economic and macro-economic factors. The results of both empirical studies are in correspondence with previous research, conducted on the local and national level.
Overall, my dissertation shows that wildlife and biodiversity greatly affect human well-being and provide substantial non-material NCP.
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Cancer cells, including leukemic cells, can react to therapeutic treatment by altering their metabolic phenotype (“metabolic reprogramming”) to keep their accelerated proliferative state, eventually becoming resistant to the treatment. There is an increasing amount of evidence indicating that metabolic reprogramming is one of the key mechanisms of acquisition of drug resistance by cancer cells. In agreement, several metabolic studies targeting leukaemia and specifically acute myeloid leukaemia (AML) and chronic myeloid leukaemia (CML), have been conducted over the last decades. However, there is still a lack of understanding the metabolic features of both AML and CML leukaemia specially in the acquisition of drug resistance, that is needed for unveiling novel and effective treatments for resistant and non-resistant patients. Therefore, the main objective of this thesis was to investigate the rewiring of cell metabolism occurring in the process of acquisition of resistance to conventional therapeutic treatments in AML and CML malignancies. Next, by revealing this metabolic rewiring, we intended to highlight potential metabolic and non-metabolic targets that could be exploited to overcome resistance to treatments. To this end, we have performed a comprehensive and comparative multi-OMIC study to analyse the links between the metabolic reprogramming and the resistance acquisition of THP-1 and HL-60 AML cell models sensitive or resistant to cytarabine (AraC) and doxorubicin (Dox), and of KU812 CML cell model sensitive or resistant to imatinib, all under normoxic (21% O2) and hypoxic (1% O2) conditions. The results of this thesis are divided into two chapters. On the one hand, in Chapter 1, the multi-OMIC study performed in AML parental and resistant cells unveiled that the acquisition of AraC resistance causes the reprogramming of the glucose metabolism of THP-1 and HL-60 cells by increasing the glycolytic flux whereas it is not associated with an alteration in the mitochondrial respiration. Moreover, our results also exhibited a possible disfunction of ETC complex I as well as alterations in glutamine and serine-glycine-1C metabolism in AML cells that display a more active mitochondrial metabolism. Moreover, we have also identified that the acquisition of Dox resistance causes alterations in the glucose and amino acid metabolism. Importantly, we have observed an important loss of mitochondrial respiration capacity of AML cells resistant to Dox chemotherapeutic drug, which constitutes a potential metabolic vulnerability that can be exploited for the treatment of AML patients resistant to Dox. On the other hand, in Chapter 2 is shown that the acquisition of imatinib resistance causes the reprogramming of glucose metabolism by enhancing the glycolytic flux, PPP, and glycogen metabolism, thus highlighting these metabolic pathways as potential metabolic weaknesses of KU812 cells resistant to imatinib. Moreover, we have observed a high metabolic plasticity of KU812 cells resistant to imatinib which includes the orchestration of many metabolic routes associated with the amino acid metabolism. Importantly, the CML multi-OMIC study has also unveiled an enhanced mitochondrial respiration capacity, which constitutes another potential vulnerability that can be exploited to overcome imatinib resistance. Finally, both AML and CML multi-OMIC studies have allowed us to propose and/or validate different metabolic and non-metabolic targets. In this regard, in this thesis we have identified and validated a battery of single-hit inhibitions that were able to reduce the cell viability of both parental and resistant AML and CML cells. Finally, we have confirmed that the repurposing of Dox chemotherapeutic drug counteracts the imatinib resistance in the KU812 cells resistant to imatinib.
Investigation of co-translational protein folding using cryo-EM and solid-state NMR enhanced by DNP
(2020)
Die zelluläre Proteinbiosynthese findet am Peptidyltransferase-Zentrum innerhalb der großen ribosomalen Untereinheit statt. Die neu synthetisierte Polypeptidkette passiert den ribosomalen Exit-Tunnel, der 80-100 Å lang und 10-20 Å breit ist. Proteinfaltung findet kotranslational statt, während die Peptidkette durch den ribosomalen Tunnel geschleust wird. Zu welchem Ausmaß die Proteine ihre native Struktur noch am Ribosom gebunden annehmen, steht im Fokus aktueller Studien. Verschiedene Methoden, die naszierende Proteinkette am Ribosom zu arretieren und die Faltung des Proteins untersuchen zu können, wurden entwickelt. Zur Herstellung von Ribosom naszierenden Proteinkomplexen (RNCs) in vivo werden Arrestierungspeptide (APs) verwendet. Ein oft genutztes AP ist die 17 Aminosäuren lange SecM Sequenz des E. coli Sekretionsmonitors, das C-Terminal an das zu untersuchende Protein kloniert werden kann und dadurch die Peptidkette am Ribosom behält. RNCs wurden mittels verschiedener Methoden untersucht, einschließlich Proteolyse-Experimenten, enzymatischen Aktivitätsmessungen, FRET, Cryo-EM und NMR-Spektroskopie. Alle Methoden zeigten auf, dass sich die Proteine kotranslational falten und auch am Ribosom eine funktionale Struktur annehmen können. Außerdem konnte eine Peptidkette eine α-Helix innerhalb des Ribosoms ausbilden. Ebenso wurden nicht-native kompakte Strukturen innerhalb der Vestibule detektiert.
Die Translation ist ein nicht-uniformer Prozess und der genetische Code degeneriert mit bis zu sechs Codons, die eine einzelne Aminosäure kodieren. Die Verteilung dieser synonymen Codons ist nicht zufällig und sie werden mit verschiedenen Frequenzen innerhalb eines ORFs verwendet. Codons mit einer höheren tRNA Häufigkeit werden schneller eingebaut als Codons, die seltener verwendet werden. Diese seltenen Codons sind häufig zwischen Proteindomänen oder Sekundärstrukturelementen platziert und könnten daher zur Separierung von Faltungsevents dienen. Dass der Austausch von synonymen Codons nicht ohne Folgen ist, zeigten verschiedene Studien. Buhr et al. (2016) zeigte, dass der synonyme Austausch die Translationsgeschwindigkeit, aber auch die Proteinkonformation des bovinen Augenlinsenproteins γB crystallin (GBC) beeinflusst. Während die unmodifizierte Gensequenz aus B. taurus in E. coli langsamer translatiert wurde und zu einem vollständig reduzierten GBC Protein (U) führte, wurde die harmonisierte Genvariante, die der Codon-Verwendung in E. coli angepasst war, schneller exprimiert und resultierte in einem teilweise oxidierten GBC Protein (H). Dieser Befund war der Ausgangspunkt für diese Doktorarbeit.
Die gemessenen Oxidationsunterschiede basieren auf der unterschiedlichen Translationsgeschwindigkeit der beiden Gensequenzen. Die N-terminale Domäne (NTD) des Zweidomänen-Proteins GBC enthält sechs der insgesamt sieben Cysteinreste. Nur in dieser Domäne wurde Oxidation detektiert und die drei Cysteine Cys18, Cys22 und Cys78 bilden eine Ansammlung mit einem Abstand von 5.4-6.4 Å. Um zu untersuchen, ob die Unterschiede bereits nach der Translation der NTD ausgebildet werden, wurde ein Ein-Domänen-Konstrukt hergestellt. Dieses Konstrukt beinhaltete die Aminosäuren 1-82, aber nicht den Peptidlinker, der beide Domänen verbindet. Allerdings wurden bei der Translation der ersten 70 Aminosäuren die meisten Translationspausen detektiert. Das 2D 1H-15N HSQC wies anhand der unterschiedlichen chemischen Verschiebung der Signale auf eine gefaltete Proteinstruktur hin. Daher konnte sich die NTD ohne Beteiligung der CTD eigenständig falten. Zugabe von DTT zu beiden Proteinvarianten U und H führte zu keinem messbaren Effekt. Im Gegensatz zu dem Volllängen-Protein, in dem die Variante H teilweise oxidiert war, war die NTD der Variante H vollständig reduziert.
Zusätzlich sollte geklärt werden, ob auch mögliche Disulfidbrücken im Inneren des Ribosoms ausgebildet werden können. Dann könnte in beiden Genvarianten eine anfängliche Disulfidbrücke ausgebildet werden und durch die unterschiedliche Translationsgeschwindigkeit die Disulfidbrücke in der langsamen Genvariante im E. coli Zytosol reduziert werden, während diese in der schneller translatierten Variante von der CTD geschützt wird. Um zu untersuchen, ob in der Tat Disulfidbrücken im ribosomalen Tunnel ausgebildet werden können, wurden GBC-Fragmente mittels der SecM Sequenz an das Ribosom arretiert und diese RNCs mittels theoretischer Simulation, Festkörper-NMR, Massenspektrometrie und Cryo-EM gemessen.
Theoretische Simulation mittels flexible-mecanno zeigten, dass der ribosomale Tunnel groß genug für die Ausbildung verschiedenster Disulfidbrücken ist. In einem U32SecM Konstrukt, das vier Cysteine und die SecM Sequenz beinhaltet, konnten alle theoretisch möglichen Disulfidbrücken gebildet werden.
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Nematophilic bacteria as a source of novel macrocyclised antimicrobial non-ribosomal peptides
(2020)
A solution to ineffective clinical antimicrobials is the discovery of new ones from under-explored sources such as macrocyclic non-ribosomal peptides (NRP) from nematophilic bacteria. In this dissertation an antimicrobial discovery process –from soil sample to inhibitory peptide– is demonstrated through investigations on six nematophilic bacteria: Xenorhabdus griffiniae XN45, X. griffiniae VH1, Xenorhabdus sp. nov. BG5, Xenorhabdus sp. nov. BMMCB, X. ishibashii and Photorhabdus temperata. To demonstrate the first step of bacterium isolation and species delineation, endosymbionts were isolated from Steinernema sp. strains BG5 and VH1 that were isolated directly from soil samples in Western Kenya. After genome sequencing and assembly of novel Xenorhabdus isolates VH1 and BG5, species delineation was done via three overall genome relatedness indices. VH1 was identified as X. griffiniae VH1, BG5 as Xenorhabdus sp. nov. BG5 and X. griffiniae BMMCB was emended to Xenorhabdus sp. nov. BMMCB. The nematode host of X. griffiniae XN45, Steinernema sp. scarpo was highlighted as a putative novel species. To demonstrate the second step of genome mining and macrocyclic non-ribosomal peptide structure elucidation, chemosynthesis and biosynthesis, the non-ribosomal peptide whose production is encoded by the ishA-B genes in X. ishibashii was investigated. Through a combination of refactoring the ishA-B operon by a promoter exchange mechanism, isotope labelling experiments, high resolution tandem mass spectrometry analysis, bioinformatic protein domain analysis and chemoinformatic comparisons of actual to hypothetical mass spectrometry spectra, the structures of Ishipeptides were elucidated and confirmed by chemical synthesis. Ishipeptide A was a branch cyclic depsidodecapeptide macrocyclised via an ester bond between serine and the terminal glutamate. It chemosynthesis route was via a late stage macrolactamation and linearised Ishipeptide B was synthesised via solid phase iterative synthesis. Ishipeptides were not N-terminally acylated despite being biosynthesised from the IshA protein that had a C-starter domain. It was highlighted that more than restoration of the histidine active site of this domain is required to restore N-terminal acylation activity.
To demonstrate the final step of determination of antimicrobial activity, minimum inhibitory concentrations of Ishipeptides and Photoditritide from Photorhabdus temperata against fungi and bacteria were determined. None were antifungal while only the macrocyclic compounds were inhibitory, with Ishipeptide A inhibitory to Gram-positive bacteria at 37 µM. The cationic Photoditritide, a cyclic hexapeptide macrocyclised via a lactam bond between homoarginine and tryptophan, was 12 times more inhibitory (3.0 µM), even more effective than a current clinical compound, Ampicillin (4.2 µM). For both, macrocyclisation was hypothesised to contribute to antimicrobial activity. Ultimately, this dissertation demonstrated not only nematophilic bacteria as a source of novel macrocyclic antimicrobial non-ribosomal peptides but also a process of antimicrobial discovery–from soil sample to inhibitory peptide– from these useful bacteria genera. This is significant for the fight against antimicrobial resistance.
Three types of post-translation modifications (PTMs) containing N-glycosylation, phosphorylation, ubiquitylation were characterized in diffuse large B-cell lymphoma (DLBCL) on a global scale using quantitative mass spectrometry based proteomics technology in this study.
DLBCL is the most common type of malignant lymphomas and has a heterogeneous gene expression profiling, phenotype and clinical response to chemotherapy. DLBCL is a good model for the correct classification of cancers into molecularly different subtypes, which benefits for the selection of rational therapeutic strategies. It resulted in two histologically indistinguishable subtypes-activated B-cell-like (ABC) subgroup and germinal center B-cell-like (GCB) subgroup according to gene expression profiling. Signals originating from the B-cell receptor (BCR), the key protein on the surface of B cells, promote growth and survival of DLBCL. Antigen-dependent/independent BCR signaling is found in DLBCL subtypes.
Recent researches reveal that glycosylation plays role in human cells via site-specific regulation. Aberrant N-glycosylation in BCR-related effectors, such as, CD79a, immunoglobulin M or G (IgM or IgG), has been found to be associated with lymphoid malignancies. However, accurate quantification of intact glycopeptides and their individual glycan moieties in a cell-wide manner is still challenging. Here we established a site-specific quantitative N-glycoproteomics platform termed SugarQuant. It included a fast sample preparation workflow using Protein Aggregation Capture (PAC), an optimized multi-notch MS3 acquisition workflow (Glyco-SPS-MS3), a self-developed R-based tool (GlycoBinder). The robustness and accuracy of quantitation in SugarQuant were proved in a study using the different amounts of TMT-labelled IgM N-glycopeptides spiked into a background of TMT-labelled yeast peptides. Next, we used SugarQuant to identify and quantify more than 5000 unique glycoforms in Burkitt’s lymphoma cells treated with a series of doses of 2-deoxy-2-fluoro-L-fucose (2FF) and determine the more accurate site-specific glycosylation changes that occurred upon inhibition of fucosylation compared to using MS2 analysis. It revealed that 2FF-sensitive N-glycosylation on key players in BCR-mediated signaling in DG75. Furthermore, 2FF treatment also affects phosphorylation of the key players involving in B cell receptor signaling.
Then we investigated the site-specific quantitative N-glycoproteome in the cell lines of DLBCL subtypes using SugarQuant. More than 7000 unique intact glycopeptides (glycoforms) were quantified in five ABC DLBCL and four GCB DLBCL cell lines. The glycoproteome mapping (intact glycopeptide expressions) in each cell line allows to segregate DLBCL subtypes. The majority of these glycoforms were from the key cell-surface BCR effectors, such as IgM, CD79 and PTPRC. Lastly, we investigated the change of fucosylated glycopeptides in TMD8 cell line upon knockout of the fucosyltransferase FUT8, which is responsible for core-fucose synthesis, and by the treatment with 2FF. The results revealed that FUT8 might also regulate the synthesis of sub/terminal fucose on glycan chain and the inhibition of fucosylation increased the sialyated glycopeptide expression.
Phosphorylation is involved in regulating multiple processes as an important mediator in BCR signaling. Likewise, ubiquitylation plays vital roles in the activation of the nuclear factor-kappaB (NF-κB) pathway in BCR signaling. There are two vital upstream BCR-proximal tyrosine kinases, Bruton’s tyrosine kinase (BTK) and spleen tyrosine kinase (SYK), which regulate the auto-phosphorylation and phosphorylation of other proteins in BCR signaling pathway. Here we investigated the dynamics of downstream phosphorylation and ubiquitylation signaling in ABC DLBCL and GCB DLBCL cell lines upon the inhibitions of BTK and SYK using quantitative proteomics strategy. In the phosphoproteome analysis, a large dataset of quantified phosphorylation sites was obtained in the three ABC and four GCB DLBCL cell lines. BCR signaling in the subtypes of DLBCL cell lines was found to be highly individual in distinct cell lines. These significantly regulated phosphorylation events in each cell line with individual treatment were involved in multiple Reactome pathways, such as, M phase, signaling by Rho GTPases and diseases of signal transduction. Moreover, the gene regulation-related biological processes including chromosome organization and medication, DNA metabolic process, nuclear export, were involved in the DLBCL cell lines. In the ubiquitinome analysis, we identified more than 15,000 ubiquitylation sites in two ABC and one GCB cell lines upon the inhibition of BTK and SYK. The different ubiquitylation events observed in ABC and GCB subtypes revealed distinct BCR signaling pathways in two subtypes. The similar signaling perturbations across each cell line upon BTK and SYK inhibition, which were obtained from the significantly regulated ubiquitylated peptides expression, revealed the cell-type-specific concordance in ubiquitylation regulation upon BTK and SYK inhibition. These ubiquitylation modified proteins who bore the significantly regulated ubi-peptides in the samples were also found to be highly involved in gene regulatory processes.
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