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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...
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...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
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Matrix-Assisted Laser Desorption Ionization (MALDI)01:08

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Matrix-assisted laser desorption ionization (MALDI) is a powerful analytical technique used in mass spectrometry. It enables the identification and characterization of various biomolecules, including proteins, peptides, nucleic acids, and carbohydrates. MALDI is an ionization technique, widely employed in biological and medical research, as well as in fields like pharmacology and biochemistry.The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix...

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Advanced proteomic liquid chromatography.

Fang Xie1, Richard D Smith, Yufeng Shen

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

Journal of Chromatography. A
|July 31, 2012
PubMed
Summary
This summary is machine-generated.

Advanced capillary liquid chromatography enhances proteomics analysis by improving separation, sensitivity, and throughput for complex protein samples analyzed by liquid chromatography-mass spectrometry.

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biochemistry

Background:

  • Liquid chromatography coupled with mass spectrometry (LC-MS) is the primary method for proteomics.
  • Proteomics samples contain numerous proteins and proteolytic products over a wide concentration range.
  • Current LC-MS methods face challenges in separation resolution, coverage, sensitivity, and throughput.

Purpose of the Study:

  • To review advanced capillary liquid chromatography techniques for proteomics.
  • To highlight methods that improve separation resolving power.
  • To discuss enhancements in proteomics analysis coverage, sensitivity, and throughput.

Main Methods:

  • Review of advanced capillary liquid chromatography techniques.
  • Discussion of methodologies enhancing separation efficiency.
  • Analysis of strategies for improved proteomics data acquisition.

Main Results:

  • Advanced capillary LC techniques significantly boost separation resolution.
  • Improved methods increase the coverage of detectable proteins and peptides.
  • Enhanced sensitivity and throughput in proteomics analyses are achieved.

Conclusions:

  • Capillary LC advancements are crucial for comprehensive proteomics.
  • These techniques overcome limitations in current LC-MS platforms.
  • Optimized LC strategies enable deeper and more efficient proteome analysis.