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Related Concept Videos

Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

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...
MALDI-TOF Mass Spectrometry01:19

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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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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...
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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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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Protocols for disease classification from mass spectrometry data.

Michael Wagner1, Dayanand Naik, Alex Pothen

  • 1Pediatric Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

Proteomics
|September 16, 2003
PubMed
Summary
This summary is machine-generated.

This study successfully classified lung cancer serum samples using protein mass spectrometry data, achieving 10-15% misclassification rates. Key protein biomarkers were identified for improved disease detection.

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Area of Science:

  • Proteomics
  • Biomarker Discovery
  • Mass Spectrometry

Background:

  • Serum protein profiles can indicate disease states.
  • Matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry is a tool for analyzing these profiles.
  • Identifying reliable biomarkers for lung cancer is crucial.

Purpose of the Study:

  • To classify serum samples as diseased (lung cancer) or healthy using MALDI-TOF mass spectrometry data.
  • To detail preprocessing steps and peak selection criteria for biomarker discovery.
  • To evaluate classification performance and identify potential lung cancer biomarkers.

Main Methods:

  • Preprocessing of mass spectral data.
  • Selection of specific protein peaks for classification.
  • Application of various statistical discrimination methods, including linear support vector machines.
  • Cross-validation studies using training and test sets.

Main Results:

  • Achieved misclassification rates in the 10-15% range using four selected proteins.
  • Identified three down-regulated and one up-regulated protein/fragment in lung cancer samples.
  • Demonstrated that using both training and test sets for peak selection reduces misclassification rates.
  • Linear support vector machine showed robust performance across different numbers of peaks.

Conclusions:

  • The developed method shows significant potential for classifying lung cancer using serum MALDI-TOF mass spectrometry.
  • Three identified protein masses closely match known lung cancer protein expression databases.
  • Further validation with larger datasets and biological role affirmation is needed to strengthen conclusions.