Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 270

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Phosphoprotein Analysis Using Antibodies Broadly Reactive against Phosphorylated Motifs

Open access
Zhang, Hui, Zha, Xiangming, Tan, Yi, Hornbeck, Peter V., Mastrangelo, Allison J., Alessi, Dario R., Polakiewicz, Roberto D., Comb, Michael J.·2002·Journal of Biological Chemistry

Abstract

The substrates of most protein kinases remain unknown because of the difficulty tracing signaling pathways and identifying sites of protein phosphorylation. Here we describe a method useful in detecting subclasses of protein kinase substrates. Although the method is broadly applicable to any protein kinase for which a substrate consensus motif has been identified, we illustrate here the use of antibodies broadly reactive against phosphorylated Ser/Thr-motifs typical of AGC kinase substrates. Phosphopeptide libraries with fixed residues corresponding to consensus motifs RXRXXT*/S* (Akt motif) and S*XR (protein kinase C motif) were used as antigens to generate antibodies that recognize many different phosphoproteins containing the fixed motif. Because most AGC kinase members are phosphorylated and activated by phosphoinositide-dependent protein kinase-1 (PDK1), we used PDK1-/- ES cells to profile potential AGC kinase substrates downstream of PDK1. To identify phosphoproteins detected using the Akt substrate antibody, we characterized the antibody binding specificity to generate a specificity matrix useful in predicting antibody reactivity. Using this approach we predicted and then identified a 30-kDa phosphoprotein detected by both Akt and protein kinase C substrate antibodies as S6 ribosomal protein. Phosphospecific motif antibodies offer a new approach to protein kinase substrate identification that combines immunoreactivity data with protein data base searches based upon antibody specificity.

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 · 10.1074/jbc.m206399200

Cites

4 of 4 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

Show all 4 references

Cited by

Metadata

Authors
Zhang, H., Zha, X., Tan, Y., Hornbeck, P. V., Mastrangelo, A. J., Alessi, D. R., Polakiewicz, R. D., & Comb, M. J.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
2002-10
Volume
277
Issue
42
Pages
39379-39387
ISSN
0021-9258 (ISSN-L)
OpenAlex
W1964211866
Cited by
270
References
4
FWCI
7.76
Type
journal article
Language
en
Open access
hybrid

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.