We introduce STAMPS, a pathway-centric web service for the development of targeted proteomics assays. STAMPS guides the user by providing several intuitive interfaces for a rapid and simplified method design. Applying our curated framework to signaling and metabolic pathways, we reduced the average assay development time by a factor of ∼150 and revealed that the insulin signaling is actively controlled by protein abundance changes in insulin-sensitive and -resistance states. Although at the current state STAMPS primarily contains mouse data, it was designed for easy extension with additional organisms.
Bibliographical noteFunding Information:
This study was supported by the Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen, the Senatsverwaltung für Wirtschaft, Technologie und Forschung des Landes Berlin, the Bundesministerium für Bildung und Forschung and by the BMBF de.NBI program (Code 031L0108A to D.K., R.A., and A.S.). Furthermore, this work was supported by the Danish Council for Independent Research|Natural Sciences (DFF-6108-00493 to C.S.E.), the Lundbeckfonden (R54-A5858 to C.S.E.), the VILLUM Foundation (VKR023439 to C.S.E.), and the VILLUM Center for Bioanalytical Sciences (VKR023179 to C.S.E.). The work was further supported by Leibniz Foundation Leibniz Pakt für Forschung SAW-2017-ISAS-2 and SynMetAge.
© 2020 American Chemical Society.
PubMed: MeSH publication types
- Journal Article
- Research Support, Non-U.S. Gov't