In many complex diseases, such as immuno-inflammatory diseases, the cause as well as the underlying molecular mechanisms and processes in pathogenesis are not completely understood yet. It is also evident that diseases are manifested in a variety of manners at the molecular level. Thus, these molecular changes in pathogenesis can be the result as well as the cause of a disease. OMICS-analyses aim to illuminate the underlying mechanism-of-action and interpret these in a meaningful manner so a to identify and develop new therapeutic targets as well as biomarkers.
High-throughput and high-resolution technologies such as next-generation sequencing, mass spectrometry and various array-based technologies are used to generate holistic profiles (lipidomes, proteomes, metabolomes, hence the term “OMICS”) of the examined samples (e.g., from patient versus volunteer) and to compare these.
Biomarkers are used in medicine, for example, to diagnose a disease state, to predict disease progression as well as to predict treatment success.
- Preanalytics / Cell isolation
- Multidimensional flow cytometry
- Lipidome analyses applying mass spectrometry
- Affinity-based targeted proteome analyses
- Metabolome analyses applying mass spectrometry
- DNA methylation analyses
- Gene expression analyses using microfluidic high-throughput qPCR