Peter Ertl

Dr. Peter Ertl

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
31 October 2017 in Lab on a Chip
Verified
Journal Article
Open access
PDF file
MRMario Rothbauer
Mario Rothbauer
HZHelene Zirath
Helene Zirath
PEPeter Ertl
Peter Ertl
Microfluidic cell cultures are ideally positioned to become the next generation of in vitro diagnostic tools for biomedical research, where key biological processes such as cell signalling and dynamic cell-to-cell interactions can be reliably analysed under reproducible physiological cell culture conditions. In the last decade, a large number of microfluidic cell analysis systems have been developed for a variety of applications including drug target optimization, drug screening and toxicological testing. More recently, advanced in vitro microfluidic cell culture systems have emerged that are capable of replicating the complex three-dimensional architectures of tissues and organs and thus represent valid biological models for investigating the mechanism and function of human tissue structures, as well as studying the onset and progression of diseases such as cancer. In this review, we present the most important developments in single-cell, 2D and 3D microfluidic cell culture systems for studying cell-to-cell interactions published over the last 6 years, with a focus on cancer research and immunotherapy, vascular models and neuroscience. In addition, the current technological development of microdevices with more advanced physiological cell microenvironments that integrate multiple organ models, namely, the so-called body-, human- and multi-organ-on-a-chip, is reviewed.

22 October 2015 in Lab on a Chip
Verified
Journal Article
Closed access
PDF file
DSDrago Sticker
Drago Sticker
MRMario Rothbauer
Mario Rothbauer
SLSarah Lechner
Sarah Lechner
MHMarie-Therese Hehenberger
Marie-Therese Hehenberger
PEPeter Ertl
Peter Ertl
Versatile microfabrication of biocompatible OSTEMER using replica and microinjection molding enables fabrication of complex multi-layered micropump and 3D multi-membrane cell chips.

1 May 2014 in Trends in Biotechnology
Verified
Journal Article
Closed access
PEPeter Ertl
Peter Ertl
DSDrago Sticker
Drago Sticker
VCVerena Charwat
Verena Charwat
CKCornelia Kasper
Cornelia Kasper
GLGünter Lepperdinger
Günter Lepperdinger

30 April 2020 in Frontiers in Bioengineering and Biotechnology
Verified
Journal Article
Open access
PDF file
BBBarbara Bachmann
Barbara Bachmann
SSSarah Spitz
Sarah Spitz
BSBarbara Schädl
Barbara Schädl
ATAndreas Herbert Teuschl-Woller
Andreas Herbert Teuschl-Woller
HRHeinz Redl
Heinz Redl
PEPeter Ertl
Peter Ertl
Biomechanical cues such as shear stress, stretching, compression, and matrix elasticity are vital in the establishment of next generation physiological in vitro tissue models. Matrix elasticity, for instance, is known to guide stem cell differentiation, influence healing processes and modulate extracellular matrix (ECM) deposition needed for tissue development and maintenance. To better understand the biomechanical effect of matrix elasticity on the formation of articular cartilage analogs in vitro, this study aims at assessing the redifferentiation capacity of primary human chondrocytes in three different hydrogel matrices of predefined matrix elasticities. The hydrogel elasticities were chosen to represent a broad spectrum of tissue stiffness ranging from very soft tissues with a Young’s modulus of 1 kPa up to elasticities of 30 kPa, representative of the perichondral-space. In addition, the interplay of matrix elasticity and transforming growth factor beta-3 (TGF-β3) on the redifferentiation of primary human articular chondrocytes was studied by analyzing both qualitative (viability, morphology, histology) and quantitative (RT-qPCR, sGAG, DNA) parameters, crucial to the chondrotypic phenotype. Results show that fibrin hydrogels of 30 kPa Young’s modulus best guide chondrocyte redifferentiation resulting in a native-like morphology as well as induces the synthesis of physiologic ECM constituents such as glycosaminoglycans (sGAG) and collagen type II. This comprehensive study sheds light onto the mechanobiological impact of matrix elasticity on formation and maintenance of articular cartilage and thus represents a major step toward meeting the need for advanced in vitro tissue models to study both re- and degeneration of articular cartilage.

1 February 2019 in Current Opinion in Biotechnology
Verified
Journal Article
Closed access
MRMario Rothbauer
Mario Rothbauer
JRJulie M Rosser
Julie M Rosser
HZHelene Zirath
Helene Zirath
PEPeter Ertl
Peter Ertl

7 September 2021 in Lab on a Chip
Verified
Journal Article
Open access
PDF file
MRMario Rothbauer
Mario Rothbauer
RBRuth A. Byrne
Ruth A. Byrne
SSSilvia Schobesberger
Silvia Schobesberger
ICIsabel Olmos Calvo
Isabel Olmos Calvo
AFAnita Fischer
Anita Fischer
PEPeter Ertl
Peter Ertl
Rheumatoid arthritis is characterised by a progressive, intermittent inflammation at the synovial membrane, which ultimately leads to the destruction of the synovial joint. The synovial membrane as the joint capsule's inner layer is lined with fibroblast-like synoviocytes that are the key player supporting persistent arthritis leading to bone erosion and cartilage destruction. While microfluidic models that model molecular aspects of bone erosion between bone-derived cells and synoviocytes have been established, RA's synovial-chondral axis has not yet been realised using a microfluidic 3D model based on human patient in vitro cultures. Consequently, we established a chip-based three-dimensional tissue coculture model that simulates the reciprocal cross talk between individual synovial and chondral organoids. When co-cultivated with synovial organoids, we could demonstrate that chondral organoids induce a higher degree of cartilage physiology and architecture and show differential cytokine response compared to their respective monocultures highlighting the importance of reciprocal tissue-level cross talk in the modelling of arthritic diseases.