Bioanalytics

Our work in the Bioanalytics department involves trying to understand the highly complex signalling and metabolic pathways in cells and cell layers in the human body at different levels, from lipids through to intercellular communication processes. Our long-term objective is to improve the health of the general public. To this end, we develop techniques to measure molecule diffusion with spatial and temporal resolution. We hope that these measurement techniques and the results of analyses can be used to help diagnose a variety of illnesses more easily – such as cardiovascular diseases - and perhaps even to develop new therapies. 

In order to explain the multitude of single processes in as much detail and as reliably as possible, we work on living cells and with microchips on which the transport and signalling paths of human cells are simulated.

Current Publications

Cathepsin D as biomarker in cerebrospinal fluid of nusinersen‐treated patients with spinal muscular atrophy

European Journal of Neurology, Vol. 29, Nr. 7, , P. 2084–2096
Type: Journal article

The potential of remdesivir to affect function, metabolism and proliferation of cardiac and kidney cells in vitro

Archives of Toxicology, Vol. 96, Nr. 8, , P. 2341–2360
Type: Journal article

Identification of a novel homozygous SCO2 variant in siblings with early-onset axonal Charcot-Marie-Tooth disease

Human mutation, Vol. 43, Nr. 4, , P. 477–486
Type: Journal article

Toward Zero Variance in Proteomics Sample Preparation

Journal of Proteome Research, Vol. 21, Nr. 4, , P. 1181–1188
Type: Journal article

The key features of SARS-CoV-2 leader and NSP1 required for viral escape of NSP1-mediated repression

RNA, , P. rna.079086.121
Type: Journal article

Novel insights into PORCN mutations, associated phenotypes and pathophysiological aspects

Orphanet journal of rare diseases, Vol. 17, Nr. 1,
Type: Journal article