Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 316

The DOI matches its Crossref record.

Phosphopeptide/Phosphoprotein Mapping by Electron Capture Dissociation Mass Spectrometry

Shi, Stone D.-H., Hemling, Mark E., Carr, Steven A., Horn, David M., Lindh, Ingemar, McLafferty, Fred W.·2001·Analytical Chemistry

Abstract

Of methods for dissociation of multiply charged peptide and protein ions, electron capture dissociation (ECD) has the advantages of cleaving between a high proportion of amino acids, without loss of such posttranslational modifications as glycosylation and carboxylation. Here this capability is successfully extended to phosphorylation, for which collisionally activated dissociation (CAD) can cause extensive loss of H3PO4 and HPO3. As shown here, these losses are minimal in ECD spectra, an advantage for measuring the degree of phosphorylation. For phosphorylated peptides, ECD and CAD spectra give complementary backbone cleavages for identifying modification sites. For a 24-kDa heterogeneous phosphoprotein, bovine beta-casein, activated ion ECD cleaved 87 of 208 backbone bonds that identified a phosphorylation site at Ser-15, and localized three more among Ser-17,-18, -19, and -22 and Thr-24, and the last among four other sites. This is the first direct site-specific characterization of this key post-translational modification on a protein without its prior degradation, such as proteolysis.

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 · 10.1021/ac000703z

Cites

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

Cited by

See all 316

Metadata

Authors
Shi, S. D.-H., Hemling, M. E., Carr, S. A., Horn, D. M., Lindh, I., & McLafferty, F. W.
Venue
Analytical Chemistry
Published
2000-11-30
Volume
73
Issue
1
Pages
19-22
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W2023232013
Cited by
316
References
0
FWCI
9.46
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Phosphopeptide/Phosphoprotein Mapping by Electron Capture Dissociation Mass Spectrometry. https://app.cochat.ai/papers/10.1021/ac000703z
The paper
Shi, S. D.-H., Hemling, M. E., Carr, S. A., Horn, D. M., Lindh, I., & McLafferty, F. W. (2001). Phosphopeptide/Phosphoprotein Mapping by Electron Capture Dissociation Mass Spectrometry. Analytical Chemistry. https://doi.org/10.1021/ac000703z

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.