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 …

Liquid chromatography (LC) coupled with data-independent acquisition (DIA) mass
spectrometry (MS) has been increasingly used in quantitative proteomics studies. Here, we …

Data-independent acquisition modes isolate and concurrently fragment populations of
different precursors by cycling through segments of a predefined precursor m/z range …

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 …

MaxDIA is a software platform for analyzing data-independent acquisition (DIA) proteomics
data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves …

Multisystem inflammatory syndrome in children (MIS-C) manifests as a severe and
uncontrolled inflammatory response with multiorgan involvement, occurring weeks after …

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

In recent decades, mass spectrometry has moved more than ever before into the front line of
protein-centered research. After being established at the qualitative level, the more …

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 …