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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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...
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

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...
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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...
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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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Related Experiment Video

Updated: May 14, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis.

Brian L LaMarche1, Kevin L Crowell, Navdeep Jaitly

  • 1Pacific Northwest National Laboratory, Richland, WA 99352, USA.

BMC Bioinformatics
|February 13, 2013
PubMed
Summary
This summary is machine-generated.

MultiAlign software aligns multiple liquid chromatography-mass spectrometry datasets for proteomics and metabolomics. It efficiently identifies analytes and traces features across samples, aiding comparative analyses even with limited genomic data.

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Last Updated: May 14, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

2 in 1: One-step Affinity Purification for the Parallel Analysis of Protein-Protein and Protein-Metabolite Complexes
08:23

2 in 1: One-step Affinity Purification for the Parallel Analysis of Protein-Protein and Protein-Metabolite Complexes

Published on: August 6, 2018

Area of Science:

  • Proteomics
  • Metabolomics
  • Bioinformatics

Background:

  • MultiAlign is a free software tool for aligning multiple liquid chromatography-mass spectrometry (LC-MS) datasets.
  • It clusters mass and chromatographic elution features across datasets for comparative analyses.
  • Applicable to label-free proteomics and metabolomics.

Purpose of the Study:

  • To present MultiAlign as an efficient software package for analyte identification and feature mapping across multiple LC-MS datasets.
  • To demonstrate its utility in both proteomics and metabolomics, especially in environmental samples with limited genomic context.

Main Methods:

  • Clustering of mass and chromatographic elution features across datasets.
  • Matching clustered features to reference databases for analyte identification.
  • Linking features to tandem mass spectra.
  • Tandem mass spectral clustering for proteome structure analysis.

Main Results:

  • Successfully applied to large-scale environmental proteomics datasets, identifying peptides by matching mass and elution time.
  • Demonstrated favorable comparison with existing tools, with added ability to trace peptide clusters across conditions.
  • Utilized for detecting clusters in environmental samples lacking metagenome data and for analyzing metabolomics datasets from human cell lines.

Conclusions:

  • MultiAlign is an efficient software package for finding similar analytes across multiple LC-MS feature maps.
  • It is particularly useful for proteomic studies with limited or no genomic context, such as environmental proteomics.