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Related Concept Videos

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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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.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
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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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Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

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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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Mass Spectrometry of Amines01:15

Mass Spectrometry of Amines

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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

Mass Spectrometry: Isotope Effect

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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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MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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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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Updated: Jan 26, 2026

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics
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MetaMSD: meta analysis for mass spectrometry data.

So Young Ryu1, George A Wendt1,2

  • 1School of Community Health Sciences, University of Nevada - Reno, Reno, NV, United States of America.

Peerj
|April 18, 2019
PubMed
Summary
This summary is machine-generated.

MetaMSD software integrates multiple mass spectrometry datasets to identify more differential proteins than single-dataset analyses. This tool enhances biomarker discovery by leveraging combined proteomic data for disease research.

Keywords:
Differential ProteinsMass SpectrometryMeta-AnalysisProteomics

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Mass spectrometry-based proteomics is crucial for understanding disease progression through protein abundance analysis.
  • Multiple mass spectrometry datasets from similar disease studies often exist, offering potential for deeper insights.
  • Integrating these datasets can reveal information unattainable from individual analyses.

Purpose of the Study:

  • To introduce MetaMSD (Meta Analysis for Mass Spectrometry Data), a novel software tool for integrating and analyzing multiple mass spectrometry datasets.
  • To demonstrate MetaMSD's capability in enhancing the detection of differential proteins compared to single-dataset approaches.

Main Methods:

  • MetaMSD employs statistical methods like Stouffer's or Pearson's test for meta-analysis of mass spectrometry data.
  • The software was validated using simulated data, urinary proteomic data from kidney transplant patients, and breast cancer proteomic data.
  • MetaMSD is a command-line tool implemented in R, designed for ease of use by researchers without extensive R programming experience.

Main Results:

  • MetaMSD significantly detects more differential proteins than analyses based on a single best experiment.
  • The software provides automated generation of graphs and identification of differential proteins with confidence scores.
  • Performance was validated across diverse datasets, including clinical and simulated proteomic data.

Conclusions:

  • MetaMSD effectively enhances biomarker discovery by maximizing the utility of multiple mass spectrometry studies.
  • The tool optimizes the integration of proteomic datasets, offering a valuable resource for disease research.
  • MetaMSD is freely available, promoting wider adoption and advancement in proteomic data analysis.