Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 225

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Characterization of the human blood plasma proteome

Shen, Yufeng, Kim, Jeongkwon, Strittmatter, Eric F., Jacobs, Jon M., Camp, David G., Fang, Ruihua, Tolié, Nikola, Moore, Ronald J., Smith, Richard D.·2005·PROTEOMICS

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 ∼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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/pmic.200401246

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 225

Metadata

Authors
Shen, Y., Kim, J., Strittmatter, E. F., Jacobs, J. M., Camp, D. G., Fang, R., Tolié, N., Moore, R. J., & Smith, R. D.
Venue
PROTEOMICS
Publisher
Wiley
Published
2005-10
Volume
5
Issue
15
Pages
4034-4045
ISSN
  • 1615-9853 (ISSN-L)
  • 1615-9861
OpenAlex
W2132016863
Cited by
225
References
1
FWCI
8.24
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.