A5020195334- Single-cell and spatial transcriptomics
- Cancer Genomics and Diagnostics
- Atherosclerosis and Cardiovascular Diseases
- Gene expression and cancer classification
- Genetic Associations and Epidemiology
- Adipokines, Inflammation, and Metabolic Diseases
- Bioinformatics and Genomic Networks
- Solid-state spectroscopy and crystallography
- Cardiac Fibrosis and Remodeling
- Immune Cell Function and Interaction
- Gene Regulatory Network Analysis
- Genomics and Rare Diseases
- Spectroscopy and Quantum Chemical Studies
- Signaling Pathways in Disease
- Material Dynamics and Properties
- RNA Research and Splicing
- Electron Spin Resonance Studies
Helmholtz Zentrum München
2023-2025
Technical University of Munich
2001-2025
Center for Environmental Health
2024
Ludwig-Maximilians-Universität München
2024
University Medical Center Groningen
2024
University Medical Center Utrecht
2024
Abstract Acute and chronic coronary syndromes (ACS CCS) are leading causes of mortality. Inflammation is considered a key pathogenic driver these diseases, but the underlying immune states their clinical implications remain poorly understood. Multiomic factor analysis (MOFA) allows unsupervised data exploration across multiple types, identifying major axes variation associating with molecular processes. We hypothesized that applying MOFA to multiomic obtained from blood might uncover hidden...
The immune system's role in ST-segment-elevated myocardial infarction (STEMI) remains poorly characterized but is an important driver of recurrent cardiovascular events. While anti-inflammatory drugs show promise reducing recurrence risk, their broad system impairment may induce severe side effects. To overcome these challenges, a nuanced understanding the response to STEMI needed.
Abstract The role of the immune system during and in response to acute myocardial infarction (MI) is poorly characterized but an important driver recurrent cardiovascular events. Anti-inflammatory drugs have shown promising effects on lowering this recurrency risk, broadly impair may induce severe side effects. To overcome these challenges a more detailed understanding needed. For this, we compared peripheral blood mononuclear cell (PBMC) single-cell RNA-sequencing expression plasma protein...
Abstract Acute and chronic coronary syndromes (ACS CCS) are leading causes of mortality. Inflammation is considered to be a key pathogenic driver, but immune states in humans their clinical implications remain poorly understood. We hypothesized that Multi-Omic blood analysis combined with Factor Analysis (MOFA) might uncover hidden sources variance providing pathophysiological insights linked needs. Here, we compile single cell longitudinal dataset the circulating ACS & CCS (13x10 3...
The fast dynamics of viscous calcium rubidium nitrate is investigated by depolarized light scattering, neutron and dielectric loss. Fast $\ensuremath{\beta}$ relaxation evolves as in potassium nitrate. dynamic susceptibilities can be described the asymptotic scaling law mode-coupling theory with a shape parameter $\ensuremath{\lambda}=0.79;$ temperature dependence amplitudes extrapolates to ${T}_{c}\ensuremath{\simeq}378 \mathrm{K}.$ However, frequencies minima three different spectroscopies...
Disease mechanisms are usually complex and governed by the interaction of several distinct molecular processes. Complex, multidimensional datasets a valuable resource to generate more insights into those processes, but analysis such can be challenging due high dimensionality resulting, for example, from different disease conditions, timepoints, omics capturing process at resolutions. Here, we showcase an approach analyze explore multiomics dataset in unsupervised way applying multi-omics...