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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
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A Protocol for Robust Discovery Proteomics Using Nano Liquid Chromatography Using Pillar-Array Column Technology and

Daniel Papp1, Hanrong Wen1, David Scheich2

  • 1Department of Chemical Engineering, Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Journal of Separation Science
|December 29, 2025
PubMed
Summary
This summary is machine-generated.

This study provides a robust nano-liquid chromatography-tandem mass spectrometry (LC-MS/MS) workflow for deep proteome profiling. The optimized method ensures high-throughput, reliable protein identification essential for large-scale life science experiments.

Keywords:
biomarker discoverynano liquid chromatography coupled with mass spectrometry (LC–MS)pillar‐array columnproteomicstims‐TOF

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biotechnology

Background:

  • Nano-liquid chromatography-mass spectrometry (LC-MS/MS) is crucial for shotgun proteomics, offering high separation power and sensitivity.
  • Establishing robust and reliable LC-MS/MS workflows for large-scale proteomics remains challenging.

Purpose of the Study:

  • To provide a detailed protocol for establishing nano-LC-MS/MS workflows for comprehensive, untargeted deep proteome profiling.
  • To optimize a data-independent acquisition (DIA)-parallel accumulation-serial fragmentation (PASEF) method for high-throughput proteomics.
  • To demonstrate the robustness and reproducibility of the developed workflow.

Main Methods:

  • Utilized state-of-the-art second-generation micropillar-array column technology for enhanced chromatographic separation.
  • Developed a straightforward workflow for data-independent acquisition (DIA)-parallel accumulation-serial fragmentation (PASEF) analysis, including ESI source optimization.
  • Explored segmented gradients and MS-compatible surfactants for improved analytical performance.

Main Results:

  • Demonstrated a trade-off between analysis time and chromatographic resolution impacting peptide and protein identification.
  • Achieved consistent identification of 7558 protein groups with high repeatability (CV = 0.3%).
  • Maintained high reproducibility in peptide retention times (mean CV = 0.2%) and system pressure (CV = 0.4%) over 21 analyses.

Conclusions:

  • The developed nano-LC-MS/MS workflow provides a robust and reproducible method for deep proteome profiling.
  • This protocol facilitates reliable, large-scale proteomics studies in life sciences.
  • The optimized DIA-PASEF method enhances throughput and data quality in proteomic analyses.