Filtern
Dokumenttyp
Gehört zur Bibliographie
- ja (5)
Schlagworte
- biosensors (5) (entfernen)
Institut
- Institut für Biochemie und Biologie (5) (entfernen)
Dendritic polyglycerol-poly(ethylene glycol)-based polymer networks for biosensing application
(2014)
This work describes the formation of a new dendritic polyglycerol-poly(ethylene glycol)-based 3D polymer network as a matrix for immobilization of the redox enzyme periplasmatic aldehyde oxidoreductase to create an electrochemical biosensor. The novel network is built directly on the gold surface, where it simultaneously stabilizes the enzyme for up to 4 days. The prepared biosensors can be used for amperometric detection of benzaldehyde in the range of 0.8-400 mu M.
Biomakromoleküle sind in der Natur für viele Abläufe in lebenden Organismen verantwortlich. Dies reicht vom Aufbau der extrazellulären Matrix und dem Cytoskelett über die Erkennung von Botenstoffen durch Rezeptoren bis hin zur Katalyse der verschiedensten Reaktionen in den Zellen selbst. Diese Aufgaben werden zum größten Teil von Proteinen übernommen, und besonders das spezifische Erkennen der Interaktionspartner ist für alle diese Moleküle äußerst wichtig, um eine fehlerfreie Funktion zu gewährleisten. Als Alternative zur evolutiven Erzeugung von optimalen Bindern und Katalysatoren auf der Basis von Aminosäuren und Nukleotiden wurden von Wulff, Shea und Mosbach synthetische molekular geprägte Polymere (molecularly imprinted polymers, MIPs) konzipiert. Das Prinzip dieser künstlichen Erkennungselemente beruht auf der Tatsache, dass sich funktionelle Monomere spezifisch um eine Schablone (Templat) anordnen. Werden diese Monomere dann vernetzend polymerisiert, entsteht ein Polymer mit molekularen Kavitäten, in denen die Funktionalitäten komplementär zum Templat fixiert sind. Dadurch ist die selektive Bindung des Templats in diese Kavitäten möglich. Aufgrund ihrer hohen chemischen und thermischen Stabilität und ihrer geringen Kosten haben “bio-inspirierte” molekular geprägte Polymere das Potential, biologische Erkennungselemente in der Affinitätschromatographie sowie in Biosensoren und Biochips zu ersetzen. Trotz einiger publizierter Sensorkonfigurationen steht der große Durchbruch noch aus. Ein Hindernis für Routineanwendungen ist die Signalgenerierung bei Bindung des Analyten an das Polymer. Eine Möglichkeit für die markerfreie Detektion ist die Benutzung von Kalorimetern, die Bindungs- oder Reaktionswärmen direkt messen können. In der Enzymtechnologie wird der Enzym-Thermistor für diesen Zweck eingesetzt, da enzymatische Reaktionen eine Enthalpie in einer Größenordnung von 5 – 100 kJ/mol besitzen. In dieser Arbeit wird die Herstellung von katalytisch geprägten Polymeren nach dem Verfahren des Oberflächenprägens erstmalig beschrieben. Die Methode zur Immobilisierung des Templats auf der Oberfläche von porösem Kieselgel sowie die Polymerzusammensetzung wurden optimiert. Weiter wird die Evaluation der katalytischen Eigenschaften über einen optischen Test, sowie das erste Mal die Kombination eines kalorimetrischen Transduktors – des Thermistors – mit der Analyterkennung durch ein katalytisch aktives MIP gezeigt. Bei diesen Messungen konnte zum ersten Mal gleichzeitig die Bindung/Desorption, sowie die katalytische Umwandlung des Substrats durch konzentrationsabhängige Wärmesignale nachgewiesen werden.
Biomolecules such as proteins and lipids have vital roles in numerous cellular functions, including biomolecule transport, protein functions, cellular homeostasis and biomembrane integrity. Traditional biochemistry methods do not provide precise information about cellular biomolecule distribution and behavior under native environmental conditions since they are not transferable to live cell samples. Consequently, this can lead to inaccuracies in quantifying biomolecule interactions due to potential complexities arising from the heterogeneity of native biomembranes. To overcome these limitations, minimal invasive microscopic techniques, such as fluorescence fluctuation spectroscopy (FFS) in combination with fluorescence proteins (FPs) and fluorescence lipid analogs, have been developed. FFS techniques and membrane property sensors enable the quantification of various parameters, including concentration, dynamics, oligomerization, and interaction of biomolecules in live cell samples.
In this work, several FFS approaches and membrane property sensors were implemented and employed to examine biological processes of diverse context. Multi-color scanning fluorescence fluctuation spectroscopy (sFCS) was used the examine protein oligomerization, protein-protein interactions (PPIs) and protein dynamics at the cellular plasma membrane (PM). Additionally, two-color number and brightness (N&B) analysis was extended with the cross-correlation analysis in order to quantify hetero-interactions of proteins in the PM with very slow motion, which would not accessible with sFCS due strong initial photobleaching. Furthermore, two semi-automatic analysis pipelines were designed: spectral Förster resonance energy transfer (FRET) analysis to study changes in membrane charge at the inner leaflet of the PM, and spectral generalized polarization (GP) imaging and spectral phasor analysis to monitor changes in membrane fluidity and order.
An important parameter for studying PPIs is molecular brightness, which directly determines oligomerization and can be extracted from FFS data. However, FPs often display complex photophysical transitions, including dark states. Therefore, it is crucial to characterize FPs for their dark-states to ensure reliable oligomerization measurements. In this study, N&B and sFCS analysis were applied to determine photophysical properties of novel green FPs under different conditions (i.e., excitation power and pH) in living cells. The results showed that the new FPs, mGreenLantern (mGL) and Gamillus, exhibited the highest molecular brightness at the cost of lower photostability. The well-established monomeric enhanced green fluorescent protein (mEGFP) remained the best option to investigate PPIs at lower pH, while mGL was best suited for neutral pH, and Gamillus for high pH. These findings provide guidance for selecting an appropriate FP to quantify PPIs via FFS under different environmental conditions.
Next, several biophysical fluorescence microscopy approaches (i.e., sFCS, GP imaging, membrane charge FRET) were employed to monitor changes in lipid-lipid-packing in biomembranes in different biological context. Lipid metabolism in cancer cells is known to support rapid proliferation and metastasis. Therefore, targeting lipid synthesis or membrane integrity holds immense promise as an anticancer strategy. However, the mechanism of action of the novel agent erufosine (EPC3) on membrane stability is not fully under
stood. The present work revealed that EPC3 reduces lipid packing and composition as well as increased membrane fluidity and dynamic, hence, modifies lipid-lipid-interaction. These effects on membrane integrity were likely triggered by modulations in lipid metabolism and membrane organization. In the case of influenza A virus (IAV) infection, regulation of lipid metabolism is crucial for multiple steps in IAV replication and is related to the pathogenicity of IAV. Here, it is shown for the first time that IAV infection triggers a local enrichment of negatively charged lipids at the inner leaflet of the PM, which decreases membrane fluidity and dynamic, as well as increases lipid packing at the assembly site in living cells. This suggests that IAV alters lipid-lipid interactions and organization at the PM. Overall, this work highlights the potential of biophysical techniques as a screening platform for studying membrane properties in living cells at the single-cell level.
Finally, this study addressed remaining questions about the early stage of IAV assembly. The recruitment of matrix protein 1 (M1) and its interaction with other viral surface proteins, hemagglutinin (HA), neuraminidase (NA), and matrix protein 2 (M2), has been a subject of debate due to conflicting results. In this study, different FFS approaches were performed in transfected cells to investigate interactions between IAV proteins themselves and host factors at the PM. FFS measurements revealed that M2 interacts strongly with M1, leading to the translocation of M1 to the PM. This interaction likely took place along the non-canonical pathway, as evidenced by the detection of an interaction between M2 and the host factor LC3-II, leading to the recruitment of LC3-II to the PM. Moreover, weaker interaction was observed between HA and membrane-bound M1, and no interaction between NA and M1. Interestingly, higher oligomeric states of M1 were only detectable in infected cells. These results indicate that M2 initiates virion assembly by recruiting M1 to the PM, which may serve as a platform for further interactions with viral proteins and host factors.
The pathogenesis of influenza A viruses (IAVs) is influenced by several factors, including IAV strain origin and reassortment, tissue tropism and host type. While such factors were mostly investigated in the context of virus entry, fusion and replication, little is known about the viral-induced changes to the host lipid membranes which might be relevant in the context of virion assembly. In this work, we applied several biophysical fluorescence microscope techniques (i.e., Förster energy resonance transfer, generalized polarization imaging and scanning fluorescence correlation spectroscopy) to quantify the effect of infection by two IAV strains of different origin on the plasma membrane (PM) of avian and human cell lines. We found that IAV infection affects the membrane charge of the inner leaflet of the PM. Moreover, we showed that IAV infection impacts lipid–lipid interactions by decreasing membrane fluidity and increasing lipid packing. Because of such alterations, diffusive dynamics of membrane-associated proteins are hindered. Taken together, our results indicate that the infection of avian and human cell lines with IAV strains of different origins had similar effects on the biophysical properties of the PM.