TY  - JOUR
A1  - Uysal, Karya
A1  - Firat, Ipek Serat
A1  - Creutz, Till
A1  - Aydin, Inci Cansu
A1  - Artmann, Gerhard
A1  - Teusch, Nicole
A1  - Temiz Artmann, Aysegül
T1  - A novel in vitro wound healing assay using free-standing, ultra-thin PDMS membranes
JF  - membranes
N2  - Advances in polymer science have significantly increased polymer applications in life sciences. We report the use of free-standing, ultra-thin polydimethylsiloxane (PDMS) membranes, called CellDrum, as cell culture substrates for an in vitro wound model. Dermal fibroblast monolayers from 28- and 88-year-old donors were cultured on CellDrums. By using stainless steel balls, circular cell-free areas were created in the cell layer (wounding). Sinusoidal strain of 1 Hz, 5% strain, was applied to membranes for 30 min in 4 sessions. The gap circumference and closure rate of un-stretched samples (controls) and stretched samples were monitored over 4 days to investigate the effects of donor age and mechanical strain on wound closure. A significant decrease in gap circumference and an increase in gap closure rate were observed in trained samples from younger donors and control samples from older donors. In contrast, a significant decrease in gap closure rate and an increase in wound circumference were observed in the trained samples from older donors. Through these results, we propose the model of a cell monolayer on stretchable CellDrums as a practical tool for wound healing research. The combination of biomechanical cell loading in conjunction with analyses such as gene/protein expression seems promising beyond the scope published here.
Y1  - 2022
U6  - http://dx.doi.org/10.3390/membranes13010022
N1  - This article belongs to the Special Issue "Latest Scientific Discoveries in Polymer Membranes"
VL  - 2023
IS  - 13(1)
PB  - MDPI
CY  - Basel
ER  - 
TY  - CHAP
A1  - Welden, Melanie
A1  - Severins, Robin
A1  - Poghossian, Arshak
A1  - Wege, Christina
A1  - Siegert, Petra
A1  - Keusgen, Michael
A1  - Schöning, Michael Josef
T1  - Studying the immobilization of acetoin reductase with Tobacco mosaic virus particles on capacitive field-effect sensors
T2  - 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
N2  - A capacitive electrolyte-insulator-semiconductor (EISCAP) biosensor modified with Tobacco mosaic virus (TMV) particles for the detection of acetoin is presented. The enzyme acetoin reductase (AR) was immobilized on the surface of the EISCAP using TMV particles as nanoscaffolds. The study focused on the optimization of the TMV-assisted AR immobilization on the Ta 2 O 5 -gate EISCAP surface. The TMV-assisted acetoin EISCAPs were electrochemically characterized by means of leakage-current, capacitance-voltage, and constant-capacitance measurements. The TMV-modified transducer surface was studied via scanning electron microscopy.
KW  - Tobacco mosaic virus
KW  - acetoin
KW  - capacitive field-effect biosensor
KW  - enzyme immobilization
Y1  - 2022
SN  - 978-1-6654-5860-3 (Online)
SN  - 978-1-6654-5861-0 (Print)
U6  - http://dx.doi.org/10.1109/ISOEN54820.2022.9789657
N1  - IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 29 May 2022 - 01 June 2022, Aveiro, Portugal.
PB  - IEEE
ER  - 
TY  - JOUR
A1  - Werfel, Stanislas
A1  - Günthner, Roman
A1  - Hapfelmeier, Alexander
A1  - Hanssen, Henner
A1  - Kotliar, Konstantin
A1  - Heemann, Uwe
A1  - Schmaderer, Christoph
ED  - Guzik, Tomasz J.
T1  - Identification of cardiovascular high-risk groups from dynamic retinal vessel signals using untargeted machine learning
JF  - Cardiovascular Research
N2  - Dynamic retinal vessel analysis (DVA) provides a non-invasive way to assess microvascular function in patients and potentially to improve predictions of individual cardiovascular (CV) risk. The aim of our study was to use untargeted machine learning on DVA in order to improve CV mortality prediction and identify corresponding response alterations.
KW  - Machine learning
KW  - Retinal vessels
KW  - Microcirculation
KW  - Haemodialysis
KW  - Myocardial infarction and cardiac death
Y1  - 2022
U6  - http://dx.doi.org/10.1093/cvr/cvab040
SN  - 0008-6363
VL  - 118
IS  - 2
SP  - 612
EP  - 621
PB  - Oxford University Press
CY  - Oxford
ER  -