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Journal ArticleDOI

Characterization of the human blood plasma proteome

TLDR
The results of this study provide a basis for a wide range of plasma proteomics studies, including broad quantitation of relative abundances in comparative studies of the identification of novel protein disease markers, as well as further studies of protein‐protein interactions.
Abstract
We describe methods for broad characterization of the human plasma proteome. The combination of stepwise immunoglobulin G (IgG) and albumin protein depletion by affinity chromatography and ultrahigh-efficiency capillary liquid chromatography separations coupled to ion trap-tandem mass spectrometry enabled identification of 2392 proteins from a single plasma sample with an estimated confidence level of > 94%, and an additional 2198 proteins with an estimated confidence level of 80%. The relative abundances of the identified proteins span a range of over eight orders of magnitude in concentration (< 30 pg/mL to approximately 30 mg/mL), facilitated by the attomole-level sensitivity of the analysis methods. More than 80% of the observed proteins demonstrate interactions with IgG and/or albumin, and the human plasma protein loss in the affinity chromatography/strong cation exchange/reversed-phase liquid chromatography-tandem mass spectrometry methodology was investigated in detail. The results of this study provide a basis for a wide range of plasma proteomics studies, including broad quantitation of relative abundances in comparative studies of the identification of novel protein disease markers, as well as further studies of protein-protein interactions.

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Citations
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Journal ArticleDOI

The Clinical Plasma Proteome: A Survey of Clinical Assays for Proteins in Plasma and Serum

TL;DR: An analysis of all US Food and Drug Administration approvals for protein-based assays through 2008 reveals 109 unique protein targets in plasma or serum, as well as 62 additional tests for peptides, protein posttranslational modifications, protein complexes, autoantibodies against endogenous proteins, and blood cell proteins.
Journal ArticleDOI

Urine in Clinical Proteomics

TL;DR: Urine has evolved as one of the most attractive body fluids in clinical proteomics with potentially a rapid application in the clinic with potentially an era of validation of urinary biomarkers in larger prospective studies.
Journal ArticleDOI

The blood peptidome: a higher dimension of information content for cancer biomarker discovery

TL;DR: In this paper, the authors discuss the advantages and disadvantages of various methods for studying the peptidome, and propose a method to measure panels of peptidomes, which might be more sensitive and specific than conventional biomarker approaches.
Journal ArticleDOI

Adipokines: a treasure trove for the discovery of biomarkers for metabolic disorders.

TL;DR: Although the entirety of human adipokines is still incompletely characterized, to date more than 600 potentially secretory proteins were identified providing a rich source to identify putative novel biomarkers associated with metabolic diseases.
References
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Journal ArticleDOI

Large-scale analysis of the yeast proteome by multidimensional protein identification technology.

TL;DR: MudPIT was applied to the proteome of the Saccharomyces cerevisiae strain BJ5460 grown to mid-log phase and yielded the largest proteome analysis to date, identifying 131 proteins with three or more predicted transmembrane domains which allowed us to map the soluble domains of many of the integral membrane proteins.
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A statistical model for identifying proteins by tandem mass spectrometry.

TL;DR: A statistical model is presented for computing probabilities that proteins are present in a sample on the basis of peptides assigned to tandem mass (MS/MS) spectra acquired from a proteolytic digest of the sample, and it is shown to produce probabilities that are accurate and have high power to discriminate correct from incorrect protein identifications.
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The Human Plasma Proteome History, Character, and Diagnostic Prospects

TL;DR: This work speculates on the reasons behind this large discrepancy between the expectations arising from proteomics and the realities of clinical diagnostics and suggests approaches by which protein-disease associations may be more effectively translated into diagnostic tools in the future.
Journal ArticleDOI

Direct analysis of protein complexes using mass spectrometry

TL;DR: A rapid, sensitive process for comprehensively identifying proteins in macromolecular complexes that uses multidimensional liquid chromatography and tandem mass spectrometry to separate and fragment peptides is described.
Journal ArticleDOI

Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome.

TL;DR: The combination of strong cation exchange (SCX) and reversed-phase (RP) chromatography to achieve two-dimensional separation prior to MS/MS and 1,504 yeast proteins were unambiguously identified in this single analysis.
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