@article{HindererShenRinguetteetal.2015,
  author    = {Hinderer, Svenja and Shen, Nian and Ringuette, L{\´e}a-Jeanne and Hansmann, Jan and Reinhardt, Dieter P and Brucker, Sara Y and Davis, Elaine C and Schenke-Layland, Katja},
  title     = {In vitro elastogenesis: instructing human vascular smooth muscle cells to generate an elastic fiber-containing extracellular matrix scaffold},
  series = {Biomedical Materials},
  volume    = {10},
  journal   = {Biomedical Materials},
  number    = {3},
  doi       = {10.1088/1748-6041/10/3/034102},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-254074},
  year      = {2015},
  abstract  = {Elastic fibers are essential for the proper function of organs including cardiovascular tissues such as heart valves and blood vessels. Although (tropo)elastin production in a tissue-engineered construct has previously been described, the assembly to functional elastic fibers in vitro using human cells has been highly challenging. In the present study, we seeded primary isolated human vascular smooth muscle cells (VSMCs) onto 3D electrospun scaffolds and exposed them to defined laminar shear stress using a customized bioreactor system. Increased elastin expression followed by elastin deposition onto the electrospun scaffolds, as well as on newly formed fibers, was observed after six days. Most interestingly, we identified the successful deposition of elastogenesis-associated proteins, including fibrillin-1 and -2, fibulin-4 and -5, fibronectin, elastin microfibril interface located protein 1 (EMILIN-1) and lysyl oxidase (LOX) within our engineered constructs. Ultrastructural analyses revealed a developing extracellular matrix (ECM) similar to native human fetal tissue, which is composed of collagens, microfibrils and elastin. To conclude, the combination of a novel dynamic flow bioreactor and an electrospun hybrid polymer scaffold allowed the production and assembly of an elastic fiber-containing ECM.},
  language  = {en}
}
@article{VottelerCarvajalBerrioPudlasetal.2012,
  author    = {Votteler, Miriam and Carvajal Berrio, Daniel A. and Pudlas, Marieke and Walles, Heike and Schenke-Layland, Katja},
  title     = {Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy},
  series = {Journal of Visual Expression},
  volume    = {63},
  journal   = {Journal of Visual Expression},
  number    = {e3977},
  doi       = {10.3791/3977},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-124569},
  year      = {2012},
  abstract  = {Non-destructive, non-contact and label-free technologies to monitor cell and tissue cultures are needed in the field of biomedical research.1-5 However, currently available routine methods require processing steps and alter sample integrity. Raman spectroscopy is a fast method that enables the measurement of biological samples without the need for further processing steps. This laser-based technology detects the inelastic scattering of monochromatic light.6 As every chemical vibration is assigned to a specific Raman band (wavenumber in cm-1), each biological sample features a typical spectral pattern due to their inherent biochemical composition.7-9 Within Raman spectra, the peak intensities correlate with the amount of the present molecular bonds.1 Similarities and differences of the spectral data sets can be detected by employing a multivariate analysis (e.g. principal component analysis (PCA)).10 Here, we perform Raman spectroscopy of living cells and native tissues. Cells are either seeded on glass bottom dishes or kept in suspension under normal cell culture conditions (37 °C, 5\% CO2) before measurement. Native tissues are dissected and stored in phosphate buffered saline (PBS) at 4 °C prior measurements. Depending on our experimental set up, we then either focused on the cell nucleus or extracellular matrix (ECM) proteins such as elastin and collagen. For all studies, a minimum of 30 cells or 30 random points of interest within the ECM are measured. Data processing steps included background subtraction and normalization.},
  language  = {en}
}