The ability to generate massive sequence data is not limited to just DNA and RNA, as this type of data can also be obtained from large-scale protein research. In the last decades, supported by technological advances in high performance liquid chromatography coupled with mass spectrometry, proteomics has been established as one the most useful and essential tools for research and industrial applications.
mong the data analyses performed at BIOS, we can provide protein expression profiles (similar to RNA expression profiles derived from RNAseq data). From these profiles, it is possible to determine if a specific protein set is expressed under a specific condition, and even determine if post-translational modifications have occurred.
Depending on the research goal and the sample preparation protocol, is it possible to identify complex modifications such as membrane proteins glycosylation, or determine the expression of phosphorylated proteins under a specific treatment.
The accelerated growth and evolution of omics technologies has enabled to determine that gene expression is one of the greatest sources of biological information in an organism, tissue, or cell, as it indicates the biological response to different environmental conditions or stimuli at a molecular level.
Analyzing each differentially expressed gene between two distinct conditions is a task that can take days or weeks of analysis, and it is possible that co-expression interactions between different proteins are not detected in this way, due to the complexity of a biological system.
Thus, metabolic pathways analysis at BIOS goes beyond the classical protein-protein analysis, by incorporating the search for complete metabolic pathways that can be under- or over-expressed between two conditions. By extracting the most recent annotations of metabolic pathways or biological functions, this analysis provides an invaluable tool in order to study expressed or repressed genes in the biological context a particular sample.