New Nature Communications publication by Mann & Theis Groups harnesses the benefits of large-scale peptide collisional cross section (CCS) measurements and deep learning for 4D-proteomics Bruker Corporation today announces a seminal publication from the groups of Professors Matthias Mann and Fabian Theis in the journal Nature Communications with the title ‘Deep learning the collisional cross sections of the peptide universe from a million experimental values’ by Florian Meier et al. (doi.org/10.1038/s41467-021-21352-8). Figure 1. Large-scale peptide collisional cross section (CCS) measurement with TIMS and PASEF. From "Deep learning the collisional cross sections of the peptide universe from a million experimental values". (a) Workflow from extraction of whole-cell proteomes through digestion, fractionation, and chromatographic separation of each fraction. The TIMS-quadrupole TOF mass spectrometer was operated in PASEF mode. (b) Overview of the CCS dataset in this study by organism. (c) Frequency of peptide C-terminal amino acids. (d) Frequency of peptide N-terminal amino acids. (e) Distribution of 559,979 unique data points, including modified sequence and charge state, in the CCS vs. m/z space color-coded by charge state. Density distributions for m/z and CCS are projected on the top and right axes, respectively. Source data are provided as a Source Data file. Image Credit: Bruker Daltonics