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Related Concept Videos

Proteomics01:33

Proteomics

7.3K
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.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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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.
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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Related Experiment Video

Updated: Jun 16, 2025

Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry
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Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry

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Data-independent acquisition in metaproteomics.

Enhui Wu1,2, Guanyang Xu2, Dong Xie1

  • 1Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.

Expert Review of Proteomics
|August 17, 2024
PubMed
Summary

Data-independent acquisition (DIA) mass spectrometry advances metaproteomics for microbial community analysis. Future deep learning and de novo sequencing methods promise improved protein coverage and deeper insights into complex biological systems.

Keywords:
Metaproteomicsanalysis toolsdata interpretationdata-independent acquisitionprotein sequence database

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Area of Science:

  • Microbiology
  • Proteomics
  • Mass Spectrometry

Background:

  • Metaproteomics analyzes microbial community functions and interactions.
  • Data-independent acquisition (DIA) mass spectrometry offers potential for deep, reproducible metaproteomics.
  • DIA metaproteomics faces challenges due to data complexity.

Purpose of the Study:

  • To review current DIA metaproteomics approaches.
  • To illustrate DIA metaproteomics procedures with case studies.
  • To discuss challenges and future perspectives in DIA metaproteomics.

Main Methods:

  • Review of literature from Google Scholar and PubMed.
  • Analysis of database construction, search strategies, and data analysis tools for DIA metaproteomics.
  • Presentation of current DIA metaproteomics study cases.

Main Results:

  • Overview of DIA metaproteomics methodologies.
  • Illustrative examples of DIA metaproteomics applications.
  • Identification of ongoing challenges in the field.

Conclusions:

  • Advanced data analysis strategies are crucial for DIA metaproteomics.
  • Deep learning and de novo sequencing are anticipated to enhance protein coverage.
  • Improvements in sample preparation and data analysis are key to realizing metaproteomics potential.