ProteomeTools Project: Milestone for the analysis of human proteomes

This project aims to translate human proteome information into new molecular and digital tools with the potential to use in drug discovery, personalised medicine and life science research

proteomics

Researchers led by the Technical University of Munich (TUM) recently reported on the synthesis of a library of more than 330,000 reference peptides representing essentially all canonical proteins of the human proteome. It is a major milestone in the ProteomeTools project which aims at translating human proteome information into new molecular and digital tools with the potential for use in drug discovery, personalized medicine and life science research.

All peptides were analysed by multi-modal liquid chromatography-tandem mass spectrometry (LC-MS/MS), creating a compendium of millions of very high quality reference spectra (termed PROSPECT for ProteomeTools Spectrum Compendium). The study illustrates the utility of these reagents and data to verify protein identifications from sparse observations and to predict the behaviour of peptides during liquid chromatography and tandem mass spectrometry.

This project aims to translate human proteome information into new molecular and digital tools with the potential to use in drug discovery, personalised medicine and life science research. This is achieved through synthesis of surrogate peptides covering the entire human proteome and analysis of them on the Orbitrap Fusion Lumos with all available fragmentation mechanisms to create the most comprehensive spectral library available to proteomics research.

The current phase, published online in Nature Methods, shows the results obtained from analysing the first 300,000 peptides (of ultimately 1.4 million peptides) and already provides some important insights. This spectra library is 3.5 times bigger than the current standard in peptide coverage and also has five times more spectral information than the previous benchmarks, making it the most comprehensive MS record of a synthetically generated human proteome. 

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