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Related Concept Videos

Deconvolution01:20

Deconvolution

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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
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Mass Spectrometry: Overview01:19

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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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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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In mass spectroscopy, amines undergo fragmentation to give parent ions with odd molecule weights. This observed mass spectrum follows the nitrogen rule; a molecule with an odd number of nitrogen atoms produces a molecular ion with an odd molecular weight. Amines undergo fragmentation through α cleavage, producing nitrogen-containing cations—iminium ions—and alkyl radicals. Mass spectra of aromatic and cyclic aliphatic amines exhibit strong molecular ion peaks, but acyclic...
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Mass Spectrometry: Isotope Effect01:13

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Most elements exist in nature as a mixture of isotopes. The isotopes differ in weight due to their respective number of neutrons. The molecular weight of a molecule is different depending on the specific isotope of its elements involved. As a result, the mass spectrum of the molecule exhibits peaks from the same fragment at multiple positions. The positions of these mass signals depend on the mass differences between isotopes. Furthermore, the intensity of these signals is dependent on the...
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Chemical Ionization (CI) Mass Spectrometry01:21

Chemical Ionization (CI) Mass Spectrometry

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The molecular ion peak of a molecule in the mass spectrum provides vital information for molecular identification. However, conventional electron impact ionization can lead to the rapid dissociation of some molecular ions before they reach the detector. A milder ionization method is required to increase the lifetime of such ionized analyte molecules. Chemical ionization (CI) is a gas-phase protonation reaction useful for mass-analyzing analyte molecules that are easily protonated to yield the...
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A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions
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Deconvolution in mass spectrometry based proteomics.

Guang Xu1, Jacek Stupak2, Li Yang1

  • 1Hubei Education Cloud Service Engineering Technology Research Center, Hubei University of Education, Wuhan, 430205, China.

Rapid Communications in Mass Spectrometry : RCM
|March 10, 2018
PubMed
Summary
This summary is machine-generated.

Mass spectrometry (MS) deconvolution strategies address overlapping isotope patterns in complex proteomic samples. These methods improve accuracy in protein analysis, paving the way for new bioinformatics and applications.

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biochemistry

Background:

  • Mass spectrometry (MS) is crucial for proteomics, enabling studies on protein structure, function, and dynamics.
  • Electrospray ionization (ESI) and matrix-assisted laser desorption/ionization (MALDI) are common MS ionization techniques.
  • Overlapping isotope patterns in MS spectra complicate accurate mass measurements, especially in complex samples.

Purpose of the Study:

  • To review various deconvolution strategies for mass spectrometry in proteomics.
  • To discuss the application of these strategies across different MS techniques and data acquisition modes.
  • To explore future prospects in MS-based proteomics data analysis.

Main Methods:

  • Deconvolution strategies including de-isotoping and de-charging.
  • Analysis of co-eluting isomers and peptides in data-dependent acquisition (DDA) and data-independent acquisition (DIA) modes.
  • Application to intact protein mass determination, ion mobility MS, native MS, and hydrogen/deuterium exchange MS.

Main Results:

  • Deconvolution effectively resolves overlapping isotope patterns in complex proteomic samples.
  • Strategies are applicable to diverse MS techniques and data acquisition methods.
  • Improved accuracy in mass measurements for various proteomic applications.

Conclusions:

  • Deconvolution strategies are essential for overcoming MS data challenges in proteomics.
  • These methods enhance the reliability of protein analysis.
  • Future developments in bioinformatics will further expand MS applications in proteomics.