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Related Concept Videos

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 signal-to-noise ratio for the analyte. 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 collision-induced...
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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.
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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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Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

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Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
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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.
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Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview

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In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then...
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Updated: May 21, 2025

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer
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Spatially Informed Nonnegative Matrix Trifactorization for Coclustering Mass Spectrometry Data.

Andrea Sottosanti1, Francesco Denti2, Stefania Galimberti3,4

  • 1Department of Medicine, University of Padova, Padova, Italy.

Biometrical Journal. Biometrische Zeitschrift
|March 19, 2025
PubMed
Summary
This summary is machine-generated.

Mass spectrometry imaging generates vast data. TRIFASE, a new computational method, analyzes this data by grouping molecules with similar functions and spatial patterns, improving biological understanding.

Keywords:
MALDI‐MSIbrain imagingcoclusteringmatrix trifactorizationspatial proteomics

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Area of Science:

  • Computational biology
  • Biophysics
  • Biochemistry

Background:

  • Mass spectrometry imaging (MSI) provides high-resolution molecular data from tissues, crucial for understanding biological systems.
  • Analyzing large MSI datasets requires efficient computational methods to extract meaningful biological insights.
  • Identifying molecules with similar functions based on spatial abundance patterns is a key challenge.

Purpose of the Study:

  • To develop a computational method for analyzing mass spectrometry imaging data.
  • To identify molecules with similar functions by analyzing their spatial expression patterns.
  • To improve the efficiency and scalability of MSI data analysis.

Main Methods:

  • TRIFASE, a semi-nonnegative matrix trifactorization technique, was developed.
  • An estimation algorithm was proposed to solve the matrix trifactorization problem.
  • Two heuristic approximations were introduced to enhance scalability and computational efficiency.

Main Results:

  • TRIFASE effectively performs coclustering of molecules based on spatial expression patterns.
  • The method accounts for spatial correlation in mass spectrometry imaging data.
  • Simulations and a mouse brain tissue analysis validated TRIFASE's ability to extract localized expression patterns and identify functionally linked protein blocks.

Conclusions:

  • TRIFASE offers a powerful tool for analyzing mass spectrometry imaging data.
  • The method facilitates the discovery of molecular mechanisms by linking protein activation to specific biological processes.
  • TRIFASE enhances the understanding of molecular roles in biological systems through spatial analysis.