Disease and Systems Biology
OmicScouts' technologies provide access to various kinds of system level information in 100s of samples from different conditions, tissues and/or organisms.
- ProteomeScout™ provides a quantitative in-depth view of the proteome. Data from 100s of samples can be used to identify systematic changes on the protein level and gain insight into disease mechanisms
- The SignallingScout™ technology is applied for proteome-wide, quantitative profiling of post-translational modifications such as phosphorylation, ubiquitinylation, or acetylation and provides an additional layer of information to further characterize a biological system
- Data from different proteomics experiments, as well as data from other high-throughput experiments such as Whole-Genome Sequencing or RNA-Seq, can be integrated using sophisticated in silico methods, for example machine learning approaches or network analyses
Bensimon, A., Heck, A.J., Aebersold, R. (2012) Mass spectrometry-based proteomics and network biology, Annu Rev Biochem 81:379-405. [Link]
Cox, J., Mann, M. (2011) Quantitative, high-resolution proteomics for data-driven systems biology, Annu Rev Biochem 80:273-99. [Link]