Patrick Misun


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Misun

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Patrick

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Publications 1 - 10 of 32
  • Frey, Olivier; Misun, Patrick; Hierlemann, Andreas (2014)
  • Misun, Patrick; Rothe, Jörg; Hierlemann, Andreas; et al. (2016)
    3D Cell Culture 2016: How close to "in vivo" can we get?: Models, applications & translation: Programme and book of abstracts: 19-21 April 2016, Konzerthaus Freiburg, Germany
  • Misun, Patrick; Forschler, Felix; Yesildag, Burçak; et al. (2017)
    21st International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2017)
    We present an analytical microfluidic system that employs uniform re-aggregated islets to study glucosestimulated insulin secretion (GSIS). The high sampling rate enables to resolve the physiologically characteristic biphasic and pulsatile insulin release from healthy β-cells of the pancreatic islets. Loss of the first phase, reduction in the second phase and impairment of the oscillatory pattern of insulin secretion are characteristic features of type 2 diabetes. Therefore, investigation of the dynamics of insulin secretion is important to understand the pathophysiology of diabetes as well as to study pharmacokinetics and the mechanisms of anti-diabetic medication.
  • Rousset, Nassim; López Sandoval, Rubén; Modena, Mario Matteo; et al. (2022)
    25th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2021)
    As 3D in vitro tissue models become more pervasive, their built-in concentration gradients increase biological relevance at the cost of analysis simplicity. Investigating metabolism heterogeneity resulting from these gradients requires invasive methods and time-consuming analyses. An alternative is measuring concentrations around microtissues with biosensors. Our hanging-drop-integrated enzymatic glucose biosensors electrochemically measure analyte concentration within hanging-drop compartments hosting single cancer spheroids. We developed an analytical model correlating measured sensor currents and glucose concentrations. Our biosensors' low limit of detection, combined with our current-fitting method, allowed us to infer glucose distributions within cancer spheroids, which will help to translate in vitro tissue results to in vivo.
  • Misun, Patrick; Rothe, Jörg; Hierlemann, Andreas; et al. (2015)
    2015 Transducers - 2015 18th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS)
    We present the integration of enzyme-based lactate and glucose biosensors into hanging-drop networks. Hangingdrop networks are an ideal microfluidic platform for formation, cultivation, and continuous and long-term observation of 3D microtissues. The implementation of biosensors enables in-situ online monitoring of the effects of different culturing conditions and compound dosages on the microtissues. A hybrid approach including glass sensor modules embedded into a microfluidic polydimethylsiloxane (PDMS)-based chip facilitates system integration. The biosensors enable real-time recording of lactate production and glucose consumption of human colon carcinoma spheroids.
  • Misun, Patrick; Shadmani, Amir; Hierlemann, Andreas; et al. (2017)
    2017 IEEE 30th International Conference on Micro Electro Mechanical Systems (MEMS)
    This work presents a highly versatile and scalable analytical platform for 3D microtissues. The device combines microfluidics for precise control of culture conditions with sensor technology for parallel and real-time monitoring of microtissue metabolism. The technology is based on an inverted, open microfluidic network. Interconnected hanging drops are formed underneath a patterned glass chip, which hosts the integrated microelectrode array. The electrodes can be individually functionalized and used as biosensors. The fabrication is simple, and the overall system can be expanded through the integration of larger numbers of hanging drops and more electrodes. The device can be used as a microfluidic platform for cultivation and continuous monitoring of 3D microtissues.
  • Misun, Patrick; Ringauf, A.; Lohasz, Christian; et al. (2018)
  • Nguyen, Oanh T.P.; Lohasz, Christian; Misun, Patrick; et al. (2022)
  • Misun, Patrick; Rismani Yazdi, Saeed; Bürgel, Sebastian; et al. (2016)
  • Boos, Julia A.; Misun, Patrick; Michlmayr, Astrid; et al. (2019)
    Advanced Science
    The integration of metabolic competence in developmental toxicity assays in vitro is of fundamental importance to better predict adverse drug effects. Here, a microfluidic hanging‐drop platform is presented that seamlessly integrates liver metabolism into the embryonic stem cell test (EST). Primary human liver microtissues (hLiMTs) and embryoid bodies (EBs) are combined in the same fluidic network, so that hLiMT‐generated metabolites are directly transported to the EBs. Gravity‐driven flow through the network enables continuous intertissue communication, constant medium turnover, and, most importantly, immediate exchange of metabolites. As a proof of concept, the prodrug cyclophosphamide is investigated and a fourfold lower ID50 concentration (50% inhibition of EB differentiation) is found after biotransformation, which demonstrates the potentially adverse effects of metabolites on embryotoxicity. The metaEST platform provides a promising tool to increase the predictive power of the current EST assay by more comprehensively including and better reflecting physiological processes in in vitro tests.
Publications 1 - 10 of 32