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Sökning: WFRF:(Schut D.)

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  • 2017
  • swepub:Mat__t
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  • Nadadhur, A. G., et al. (författare)
  • Multi-level characterization of balanced inhibitory-excitatory cortical neuron network derived from human pluripotent stem cells
  • 2017
  • Ingår i: PLOS ONE. - : Public Library of Science. - 1932-6203. ; 12:6
  • Tidskriftsartikel (refereegranskat)abstract
    • Generation of neuronal cultures from induced pluripotent stem cells (hiPSCs) serve the studies of human brain disorders. However we lack neuronal networks with balanced excitatory- inhibitory activities, which are suitable for single cell analysis. We generated low-density networks of hPSC-derived GABAergic and glutamatergic cortical neurons. We used two different co-culture models with astrocytes. We show that these cultures have balanced excitatory-inhibitory synaptic identities using confocal microscopy, electrophysiological recordings, calcium imaging and mRNA analysis. These simple and robust protocols offer the opportunity for single-cell to multi-level analysis of patient hiPSC-derived cortical excitatory- inhibitory networks; thereby creating advanced tools to study disease mechanisms underlying neurodevelopmental disorders.
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  • Schut, J, et al. (författare)
  • Glass transition temperature prediction of polymers through the mass-per-flexible-bond principle
  • 2007
  • Ingår i: Polymer. - : Elsevier BV. - 0032-3861 .- 1873-2291. ; 48:20, s. 6115-6124
  • Tidskriftsartikel (refereegranskat)abstract
    • A semi-empirical method based on the mass-per-flexible-bond (M/f) principle was used to quantitatively explain the large range of glass transition temperatures (T-g) observed in a library of 132 L-tyrosine derived homo, co- and terpolymers containing different functional groups. Polymer class specific behavior was observed in T-g vs. M/f plots, and explained in terms of different densities, steric hindrances and intermolecular interactions of chemically distinct polymers. The method was found to be useful in the prediction of polymer T-g. The predictive accuracy was found to range from 6.4 to 3.7 K, depending on polymer class. This level of accuracy compares favorably with (more complicated) methods used in the literature. The proposed method can also be used for structure prediction of polymers to match a target T-g value, by keeping the thermal behavior of a terpolymer constant while independently choosing its chemistry. Both applications of the method are likely to have broad applications in polymer and (bio)material science.
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