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Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

1.8K
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...
1.8K
Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

9.0K
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 Spectrometry01:21

Tandem Mass Spectrometry

2.5K
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...
2.5K
Mass Spectrometry: Isotope Effect01:13

Mass Spectrometry: Isotope Effect

4.3K
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...
4.3K
Mass Spectrometry of Amines01:15

Mass Spectrometry of Amines

5.4K
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...
5.4K
Chemical Ionization (CI) Mass Spectrometry01:21

Chemical Ionization (CI) Mass Spectrometry

1.6K
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...
1.6K

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Video Experimental Relacionado

Updated: Feb 8, 2026

Complete Workflow for Analysis of Histone Post-translational Modifications Using Bottom-up Mass Spectrometry: From Histone Extraction to Data Analysis
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Complete Workflow for Analysis of Histone Post-translational Modifications Using Bottom-up Mass Spectrometry: From Histone Extraction to Data Analysis

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Flujo de trabajo completo de análisis de datos para espectrometría de masas DIA cuantitativa utilizando Nextflow

Mats Perk1, Sami Pietilä1, Tommi Välikangas1

  • 1Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland.

Journal of proteome research
|February 6, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Desarrollamos glaDIAtor-nf, un flujo de trabajo Nextflow para analizar datos complejos de proteómica de espectrometría de masas de adquisición de datos independientes (DIA). Esta herramienta reanaliza eficientemente conjuntos de datos públicos, revelando patrones ocultos del proteoma, como en la investigación del cáncer de mama.

Palabras clave:
análisis de datosadquisición de datos independienteespectrometría de masasnextflowproteómica cuantitativa

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Área de la Ciencia:

  • Proteómica
  • Espectrometría de masas
  • Bioinformática

Sus antecedentes:

  • La adquisición de datos independiente (DIA) por espectrometría de masas ofrece una caracterización integral de proteínas, pero genera conjuntos de datos grandes y complejos.
  • El análisis de datos DIA requiere herramientas computacionales robustas para gestionar flujos de trabajo complejos y computación de alto rendimiento.

Objetivo del estudio:

  • Presentar glaDIAtor-nf, un flujo de trabajo basado en Nextflow para el análisis de datos de proteómica de espectrometría de masas DIA no dirigida.
  • Demostrar la utilidad de glaDIAtor-nf en el reanálisis de conjuntos de datos públicos y el descubrimiento de información biológica previamente oculta.

Principales métodos:

  • Desarrollo de glaDIAtor-nf utilizando el sistema de gestión de flujos de trabajo Nextflow.
  • Validación técnica rigurosa utilizando conjuntos de datos de referencia.
  • Aplicación a datos de proteómica de cáncer de mama públicos.

Principales resultados:

  • glaDIAtor-nf demostró precisión técnica en el análisis de datos de espectrometría de masas DIA.
  • El reanálisis de datos públicos de cáncer de mama utilizando glaDIAtor-nf reveló patrones de proteoma previamente indetectables.
  • El estudio destaca el potencial de reanalizar los datos públicos existentes con herramientas eficientes.

Conclusiones:

  • glaDIAtor-nf proporciona una solución eficiente y automatizada para el análisis de datos de proteómica DIA a gran escala.
  • El flujo de trabajo facilita el descubrimiento de nuevos conocimientos biológicos a partir de repositorios públicos.
  • Existe una necesidad significativa de herramientas fáciles de usar para permitir el reanálisis generalizado de datos de proteómica públicos.