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Human Plasma PeptideAtlas.

Eric W Deutsch1, Jimmy K Eng, Hui Zhang

  • 1Institute for Systems Biology, Seattle, WA 98103, USA. edeutsch@systemsbiology.org

Proteomics
|July 30, 2005
PubMed
Summary
This summary is machine-generated.

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This study combined human plasma proteome data from multiple labs, identifying 6929 peptides mapped to 960 proteins. This valuable peptide and protein dataset is now publicly available for future human plasma research.

Area of Science:

  • Proteomics
  • Genomics
  • Biochemistry

Background:

  • The Human Proteome Organisation (HUPO) Plasma Proteome Project aimed to standardize plasma proteome data.
  • High-throughput proteomic techniques like Liquid Chromatography-Mass Spectrometry/Mass Spectrometry (LC-MS/MS) are crucial for identifying plasma proteins.

Purpose of the Study:

  • To create a comprehensive compendium of human plasma peptides and their corresponding proteins and genes.
  • To provide a standardized, publicly accessible reference dataset for human plasma proteomics research.

Main Methods:

  • Combined high-probability peptide identifications from 28 LC-MS/MS experiments across eight laboratories.
  • Mapped identified peptides to the EnsEMBL human genome.
  • Associated peptides with proteins, genes, and sample information.

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Main Results:

  • Successfully identified 6929 distinct peptides.
  • Mapped these peptides to approximately 960 unique human proteins.
  • Established a comprehensive dataset linking peptides, proteins, genes, and experimental samples.

Conclusions:

  • The generated compendium represents a significant resource for the human plasma proteome.
  • Public availability of this data will facilitate future research in human plasma protein identification and biomarker discovery.