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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...

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Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry
10:05

Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry

Published on: October 24, 2018

Precursor ion independent algorithm for top-down shotgun proteomics.

Yihsuan S Tsai1, Alexander Scherl, Jason L Shaw

  • 1Department of Medicinal Chemistry, University of Washington, Seattle, Washington 98195-7610, USA.

Journal of the American Society for Mass Spectrometry
|September 24, 2009
PubMed
Summary
This summary is machine-generated.

A new algorithm, precursor ion independent top-down algorithm (PIITA), automates protein identification from mass spectra. This method enhances protein discovery and isoform analysis, identifying more proteins than traditional bottom-up approaches.

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Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Bioinformatics

Background:

  • Top-down proteomics enables analysis of intact proteins.
  • Automated protein identification from tandem mass spectra is challenging.
  • Current methods may miss protein isoforms and modifications.

Purpose of the Study:

  • To develop and validate a novel algorithm for automated top-down protein identification.
  • To improve the identification of protein isoforms and post-translational modifications.
  • To compare the efficacy of the new top-down approach with traditional bottom-up proteomics.

Main Methods:

  • Utilized data-dependent acquisition with a C4-based HPLC column and LTQ-Orbitrap mass spectrometer.
  • Employed gas-phase fractionation to increase tandem mass spectra acquisition.
  • Developed the precursor ion independent top-down algorithm (PIITA) for spectral matching against genomic databases.

Main Results:

  • Identified 154 proteins using the PIITA algorithm in a Salmonella typhimurium outer membrane extract.
  • Discovered 73 proteins not identified by parallel bottom-up analysis.
  • Characterized 201 unique protein isoforms with a false discovery rate below 1%.

Conclusions:

  • PIITA provides a robust and automated method for top-down protein identification.
  • The top-down approach significantly increases protein and isoform identification depth compared to bottom-up methods.
  • PIITA facilitates the discovery of novel protein isoforms and post-translational modifications.