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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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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
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Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass. One common type of ionization, known as electron ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave behind a...
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The MaxQuant computational platform for mass spectrometry-based shotgun proteomics.

Stefka Tyanova1, Tikira Temu1, Juergen Cox1

  • 1Computational Systems Biochemistry, Max-Planck Institute for Biochemistry, Martinsried, Germany.

Nature Protocols
|November 4, 2016
PubMed
Summary
This summary is machine-generated.

This updated protocol details MaxQuant workflows for mass spectrometry proteomics data analysis. It covers quantitative label-free, MS1-level, and isobaric labeling, enhancing protein and post-translational modification analysis.

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Area of Science:

  • Proteomics
  • Mass Spectrometry Data Analysis
  • Computational Biology

Background:

  • MaxQuant is a widely adopted platform for mass spectrometry (MS)-based proteomics.
  • Its functionality has expanded significantly since its initial release in 2008.
  • The platform integrates with various MS instruments.

Purpose of the Study:

  • To provide an updated protocol for essential MaxQuant computational workflows.
  • To detail parameters for quantitative label-free, MS1-level, and isobaric labeling techniques.
  • To explain the configuration of the Andromeda search engine and MaxQuant output tables.

Main Methods:

  • Review of shotgun proteomics concepts and their MaxQuant implementation.
  • Detailed explanation of quantification strategies and false-discovery rate (FDR) control.
  • In-depth description of MaxQuant output tables for protein and post-translational modification (PTM) quantification.

Main Results:

  • An updated protocol covering key MaxQuant workflows for proteomics data.
  • Comprehensive parameter descriptions for MaxQuant and its Andromeda search engine.
  • Detailed guidance on analyzing quantitative proteomics data, including PTMs.

Conclusions:

  • The updated protocol facilitates robust proteomics data analysis using MaxQuant.
  • MaxQuant offers efficient, scalable algorithms for diverse experimental designs.
  • The freely available software supports advanced proteomics research.