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Related Concept Videos

Proteomics01:33

Proteomics

7.7K
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: Aug 17, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Identifying individuals using proteomics: are we there yet?

Ivo Fierro-Monti1, James C Wright2, Jyoti S Choudhary2

  • 1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, United Kingdom.

Frontiers in Molecular Biosciences
|December 16, 2022
PubMed
Summary
This summary is machine-generated.

Proteomics data can identify individuals, raising ethical concerns similar to DNA/RNA sequencing. This study examines the risks and current methods for identifying people using proteomics, highlighting the need for ethical guidelines.

Keywords:
RNA editingamino acid variantsgenomics dataidentifiabilityomics data analysisprotein variantsproteogenomicsproteomics data

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Area of Science:

  • Biomedical research
  • Proteomics
  • Precision medicine

Background:

  • Multi-omics approaches, including proteomics, are crucial for precision medicine.
  • Increasing sensitivity in clinical proteomics necessitates examining identification risks.
  • Limited research exists on individual identification using proteomics compared to DNA/RNA data.

Purpose of the Study:

  • To review the state-of-the-art in identifying individuals using proteomics data.
  • To analyze risks and ethical considerations associated with proteomics-based identification.
  • To discuss the implications for patient privacy and legal frameworks.

Main Methods:

  • Review of current proteomics data analysis workflows for individual identification.
  • Detailed examination of protein sequence variation analysis.
  • Analysis of relevant forensic and omics proteomics studies.
  • Discussion of re-identification risks from protein expression and PTM profiles.

Main Results:

  • Current proteomics analysis workflows have limitations for individual identification.
  • Protein sequence variation analysis offers potential but requires further development.
  • Protein expression and PTM data also pose re-identification risks.
  • Existing studies demonstrate the feasibility of proteomics-based identification.

Conclusions:

  • Individual identification from proteomics data is technically feasible and presents significant ethical challenges.
  • Legal and ethical frameworks must evolve to address the privacy implications of proteomics data.
  • Further research is needed to develop robust methods for anonymizing proteomics data and mitigating identification risks.