000837121 001__ 837121
000837121 005__ 20240619091227.0
000837121 0247_ $$2Handle$$a2128/17696
000837121 0247_ $$2URN$$aurn:nbn:de:0001-2018032800
000837121 0247_ $$2ISSN$$a1866-1807
000837121 020__ $$a978-3-95806-296-2
000837121 037__ $$aFZJ-2017-06110
000837121 041__ $$aEnglish
000837121 1001_ $$0P:(DE-Juel1)164336$$aBelu, Andreea Anamaria$$b0$$eCorresponding author$$gfemale$$ufzj
000837121 245__ $$aNeurons on 3D Polymer Nanostructures$$f- 2016-12-31
000837121 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zenralbibliothek, Verlag$$c2018
000837121 300__ $$aVII, 135 S.
000837121 3367_ $$2DataCite$$aOutput Types/Dissertation
000837121 3367_ $$0PUB:(DE-HGF)3$$2PUB:(DE-HGF)$$aBook$$mbook
000837121 3367_ $$2ORCID$$aDISSERTATION
000837121 3367_ $$2BibTeX$$aPHDTHESIS
000837121 3367_ $$02$$2EndNote$$aThesis
000837121 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1521186909_6671
000837121 3367_ $$2DRIVER$$adoctoralThesis
000837121 4900_ $$aSchriften des Forschungszentrums Jülich. Reihe Schlüsseltechnologien / Key Technologies$$v161
000837121 502__ $$aRWTH Aachen, Diss., 2017$$bDr.$$cRWTH Aachen$$d2017
000837121 520__ $$aThe interface between living cells and artificial surfaces is highly relevant for biomedical applications such as implants and organized cell growth for tissue reconstruction as well as for basic science purposes. The topography of implantable biomaterials is critical for optimizing the electrical coupling between cells and device surface. One way to modulate cellular responses is to vary surface topographies. Instructive biomaterials with different surface topographies can regulate cellular behavior from initial attachment and further dictate the response of surrounding tissue. A considerable attention was directed towards 3D micro- and nanostructured polymers. In this study, the influence of isotropic andanisotropic 3D polymer surfaces on the adhesion and maturation of primary neurons ispresented. This work mainly consists of three parts: the 3D micro- and nanostructured polymer fabrication and characterization, followed by the evaluation of the influence of surface topographies on neuronal behaviour responses. Additionally, a novel resin embedding procedure was developed for morphological visualization of neuron interface with 3D surfaces at the nanoscale. Particular attention was given to the cell membrane wrapping around the nanostructures studied by scanning electron microscopy and focused ion beam sectioning. First, a reliable method for the fabrication of 3D structures was established with the possibility of using large range of sizes and heights (on 1 cm$^{2}$ surface area) based on nanoimprint lithography: i) Isotropic surfaces with 100 nm and 400 nm high posts with diameter and distance ranging from 250 nm to 2 μm and ii) Gradient patterns of 250 nm diameter posts and linear slopes of 0.15·10$^{-3}$, 0.75·10$^{-3}$, 1.95·10$^{-3}$, and 3.95·10$^{-3}$/mm. These polymer substrates exhibited high cell viability and neuronal maturation. Employing the systematic design variations of the surface topographies, the engulfment-like process of the 3D nanostructures by the cell membrane has been quantified. An optimal 3D structured area (100 nm high posts with 250 nm diameter and 1 μm pitch) has been found to increase the cell membrane adhesion in comparison to the planar surface. In addition, the 3D pillars enhanced axon growth and alignment to the topography, an effect that diminished with decreasing pillars height. However, for the lower pillar height the alignment could be induced by gradient patterns with 1 μm and 4 μm distance between the pillars. Finally, 3D asymmetric surfaces characterized by dense inclined PPX polymer nanopillars, have been used to induce axon elongation and initial directionality of axon formation. This thesis contributes to the understanding of neuron adhesion, neuritogenesis, and neurite elongation in response to micro- and nanometer range pattern dimensions. Implementing axonal guidance and elongation by use of topography (3D nano-modified surfaces) can be a versatile tool for neuronal applications, such as nerve regeneration.
000837121 536__ $$0G:(DE-HGF)POF3-552$$a552 - Engineering Cell Function (POF3-552)$$cPOF3-552$$fPOF III$$x0
000837121 8564_ $$uhttps://juser.fz-juelich.de/record/837121/files/Schluesseltech_161.pdf$$yOpenAccess
000837121 8564_ $$uhttps://juser.fz-juelich.de/record/837121/files/Schluesseltech_161.gif?subformat=icon$$xicon$$yOpenAccess
000837121 8564_ $$uhttps://juser.fz-juelich.de/record/837121/files/Schluesseltech_161.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
000837121 8564_ $$uhttps://juser.fz-juelich.de/record/837121/files/Schluesseltech_161.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000837121 8564_ $$uhttps://juser.fz-juelich.de/record/837121/files/Schluesseltech_161.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000837121 8564_ $$uhttps://juser.fz-juelich.de/record/837121/files/Schluesseltech_161.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000837121 909CO $$ooai:juser.fz-juelich.de:837121$$pdnbdelivery$$pVDB$$pdriver$$purn$$popen_access$$popenaire
000837121 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000837121 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000837121 9141_ $$y2017
000837121 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)164336$$aForschungszentrum Jülich$$b0$$kFZJ
000837121 9131_ $$0G:(DE-HGF)POF3-552$$1G:(DE-HGF)POF3-550$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lBioSoft – Fundamentals for future Technologies in the fields of Soft Matter and Life Sciences$$vEngineering Cell Function$$x0
000837121 920__ $$lyes
000837121 9201_ $$0I:(DE-Juel1)ICS-8-20110106$$kICS-8$$lBioelektronik$$x0
000837121 9801_ $$aFullTexts
000837121 980__ $$aphd
000837121 980__ $$aVDB
000837121 980__ $$aUNRESTRICTED
000837121 980__ $$abook
000837121 980__ $$aI:(DE-Juel1)ICS-8-20110106
000837121 981__ $$aI:(DE-Juel1)IBI-3-20200312