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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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Related Experiment Video

Updated: Jul 19, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Real-Time Spectral Library Matching for Sample Multiplexed Quantitative Proteomics.

Chris D McGann1, William D Barshop2, Jesse D Canterbury2

  • 1University of Washington, Seattle, Washington 98105, United States.

Journal of Proteome Research
|August 9, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces real-time spectral library searching (RTLS) to enhance proteomic analysis. RTLS improves quantitative accuracy and efficiency in multiplexed assays, enabling faster and more comprehensive results.

Keywords:
TMTintelligent data acquisitionmultiplex proteomicsreal-time library searchreal-time search

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Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Bioinformatics

Background:

  • Multiplexed quantitative proteomics assays are vital for molecular phenotyping.
  • Stochastic precursor selection and coisolation hinder data acquisition efficiency and quantitative accuracy.
  • Intelligent data acquisition (IDA) strategies aim to improve mass spectrometry-based proteomics.

Purpose of the Study:

  • To develop and implement a real-time spectral library searching (RTLS) workflow.
  • To enable intelligent scan triggering and peak selection within milliseconds.
  • To enhance usability and applicability across diverse spectral libraries and file types.

Main Methods:

  • Developed a novel RTLS workflow for mass spectrometry.
  • Integrated empirical and predicted spectral libraries.
  • Applied RTLS to profile proteome responses to small molecule perturbations.

Main Results:

  • RTLS improved quantitation of multiplexed samples, especially with chimeric spectra.
  • Quantified up to 15% more significantly regulated proteins.
  • Achieved these results in half the gradient time compared to traditional methods.

Conclusions:

  • RTLS significantly enhances instrument efficiency and quantitative accuracy for multiplexed proteomic analyses.
  • The RTLS workflow expands the IDA toolbox for proteomics.
  • Facilitates more comprehensive and rapid proteomic profiling.