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Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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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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Peptide Identification Using Tandem Mass Spectrometry01:33

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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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Mass Analyzers: Overview01:13

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The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
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Emission Spectra

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When solids, liquids, or condensed gases are heated sufficiently, they radiate some of the excess energy as light. Photons produced in this manner have a range of energies, and thereby produce a continuous spectrum in which an unbroken series of wavelengths is present.
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Mass Analyzers: Common Types01:19

Mass Analyzers: Common Types

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The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
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Atomic Mass01:52

Atomic Mass

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Atoms — and the protons, neutrons, and electrons that compose them — are extremely small. For example, a carbon atom weighs less than 2 × 10−23 g. When describing the properties of tiny objects such as atoms, we use appropriately small units of measure, such as the atomic mass unit (amu). The amu was originally defined based on hydrogen, the lightest element, then later in terms of oxygen. Since 1961, it has been defined with regard to the most abundant isotope of carbon, atoms of which...
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Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry
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Analyzing Tandem Mass Spectra Using the DRIP Toolkit: Training, Searching, and Post-Processing.

John T Halloran1

  • 1Department of Public Health Sciences, University of California, Davis, Davis, CA, USA. jthalloran@ucdavis.edu.

Methods in Molecular Biology (Clifton, N.J.)
|July 22, 2018
PubMed
Summary
This summary is machine-generated.

A new dynamic Bayesian network (DBN) approach, DRIP, significantly improves peptide identification in tandem mass spectrometry (MS/MS) by using probabilistic inference for accurate spectrum alignment. The DRIP Toolkit (DTK) enables advanced analysis and enhanced protein identification accuracy.

Keywords:
DBNsDRIPDynamic Bayesian networksGraphical modelsShotgun proteomicsTandem mass spectrometry

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Area of Science:

  • Proteomics
  • Computational Biology
  • Biotechnology

Background:

  • Tandem mass spectrometry (MS/MS) is crucial for high-throughput protein identification in complex biological samples.
  • Accurate peptide identification is essential for reliable MS/MS analysis.
  • Existing "static" alignment strategies have limitations in handling MS/MS data variability.

Purpose of the Study:

  • To introduce a novel dynamic Bayesian network (DBN) approach for peptide identification in MS/MS.
  • To demonstrate the capabilities of the DRIP Toolkit (DTK) for improving MS/MS identification accuracy.
  • To highlight DTK's features for advanced data analysis and visualization.

Main Methods:

  • Developed a dynamic Bayesian network for Rapid Identification of Peptides (DRIP) to model the stochastic process of peptide-MS/MS spectrum generation.
  • Employed probabilistic inference for efficient and accurate alignment of peptides to observed spectra.
  • Integrated dynamic alignment strategies to learn non-linear temporal shifts and improve feature extraction.

Main Results:

  • DRIP achieves state-of-the-art accuracy in peptide identification.
  • The DRIP Toolkit (DTK) supports accurate feature extraction for improved discriminative analysis (e.g., Percolator post-processing).
  • DTK offers interactive features for fine-grained analysis, including on-the-fly inference and plotting.

Conclusions:

  • DRIP and DTK significantly enhance MS/MS identification accuracy compared to static alignment methods.
  • The generative DBN model provides a robust framework for peptide-spectrum matching.
  • DTK empowers researchers with advanced tools for detailed analysis of MS/MS data.