Exposure to environmental organic pollutants has triggered significant ecological impacts
and adverse health outcomes, which have been received substantial and increasing …

Many research questions in fields such as personalized medicine, drug screens or systems
biology depend on obtaining consistent and quantitatively accurate proteomics data from …

The dia-PASEF technology uses ion mobility separation to reduce signal interferences and
increase sensitivity in proteomic experiments. Here we present a two-dimensional peak …

Current mass spectrometry methods enable high-throughput proteomics of large sample
amounts, but proteomics of low sample amounts remains limited in depth and throughput. To …

Single-cell resolution analysis of complex biological tissues is fundamental to capture cell-
state heterogeneity and distinct cellular signaling patterns that remain obscured with …

We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural
networks and new quantification and signal correction strategies for the processing of data …

Missing values weaken the power of label-free quantitative proteomic experiments to
uncover true quantitative differences between biological samples or experimental …

The recent development of machine learning methods to identify peptides in complex mass
spectrometric data constitutes a major breakthrough in proteomics. Longstanding methods …

Mammalian cells have about 30,000 times as many protein molecules as mRNA molecules,
which has major implications in the development of proteomics technologies. We discuss …

This review provides a brief overview of the development of data‐independent acquisition
(DIA) mass spectrometry‐based proteomics and selected DIA data analysis tools. Various …