Data-independent acquisition mass spectrometry (DIA-MS) is a next generation proteomic
methodology that generates permanent digital proteome maps offering highly reproducible …

Tumor tissue processing methodologies in combination with data‐independent acquisition
mass spectrometry (DIA‐MS) have emerged that can comprehensively analyze the …

The data‐independent acquisition mass spectrometry (DIA‐MS) has rapidly evolved as a
powerful alternative for highly reproducible proteome profiling with a unique strength of …

To address the increasing need for detecting and validating protein biomarkers in clinical
specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the …

In medicine, there is an urgent need for protein biomarkers in a range of applications that
includes diagnostics, disease stratification, and therapeutic decisions. One of the main …

Traditional shotgun proteomics used to detect a mixture of hundreds to thousands of
proteins through mass spectrometric analysis, has been the standard approach in research …

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 …

Cancer biomarkers have transformed current practices in the oncology clinic. Continued
discovery and validation are crucial for improving early diagnosis, risk stratification, and …

In the late 1980s, the advent of soft ionization techniques capable of generating stable gas
phase ions from thermally unstable biomolecules, namely matrix-assisted laser …

Although the field of mass spectrometry-based proteomics is still in its infancy, recent
developments in targeted proteomic techniques have left the field poised to impact the …