Ulrike Kusebauch

TL;DR: The results show that measurement of personal data clouds over time can improve the understanding of health and disease, including early transitions to disease states.

TL;DR: This work uses a strategy based on high-throughput peptide synthesis and mass spectrometry to generate an almost complete reference map (97% of the genome-predicted proteins) of the Saccharomyces cerevisiae proteome, and generated two versions of this mass-spectrometric map that constitute a complete set of proteomic assays to support most studies performed with contemporary proteomic technologies.

TL;DR: The generation and verification of a compendium of highly specific assays that enable quantification of 99.7% of the 20,277 annotated human proteins by the widely accessible, sensitive, and robust targeted mass spectrometric method selected reaction monitoring, SRM are described.

TL;DR: A high-throughput method for the development and refinement of selected reaction monitoring (SRM) assays for human proteins is described and it is demonstrated that these SRM assays allow reproducible quantification by monitoring 34 biomarker candidates across 83 patient plasma samples.

TL;DR: The PeptideAtlas SRM Experiment Library (PASSEL) allows researchers to easily submit proteomic data sets generated by SRM and will help in the assessment of proteotypic peptide performance in a wide array of samples containing the same peptide, as well as across multiple experimental protocols.