Biology subjects

Fredrich, T.

Publications and source records attributed to Fredrich, T..

3 recordsLinked to original sources

bioRxiv2019

Fine-grained simulations of the microenvironment of vascularized tumours

One of many important features of the tumour microenvironment is that it is a place of active Darwinian selection where different tumour clones become adapted to the variety of ecological niches that make up the microenvironment. These evolutionary processes turn the microenvironment into a powerful source of tumour heterogeneity and contribute to the development of drug resistance in cancer. Here, we describe a computational tool to study the ecology of the microenvironment and report results about the ecology of the tumour microenvironment and its evolutionary dynamics.

biophysics↗

bioRxiv2018

Adaption of artificial microvascular networks

We explored the application of the adaption algorithm introduced by Secomb et. al. to artificial blood vessel networks and find that the resulting networks to not obey Murrays law. The reported analysis and visual examples document the contrast between two different types of networks. We conjecture that an interrupt of an established signaling cascade could be a hallmark of solid vascular tumors.

cancer biology↗

bioRxiv2017

Tumorcode - A framework to simulate vascularized tumors

During the past years our group published several articles using computer simulations to address the complex interaction of tumors and the vasculature as underlying transport network. Advances in imaging and lab techniques pushed in vitro research of tumor spheroids forward and animal models as well as clinical studies provided more insights to single processes taking part in tumor growth, however, an overall picture is still missing. Computer simulations are a none-invasive option to cumulate current knowledge and form a quasi in vivo system. In our software, several known models were assembled into a multi-scale approach which allows to study length scales relevant for clinical applications.\n\nWe release our code to the public domain, together with a detailed description of the implementation and several examples, with the hope of usage and futher development by the community. Justification for the included algorithms and the biological models was obtained in previous publications, here we summarize technical aspects following the workflow of a typical simulation procedure.

biophysics↗