Skip to main content
Journal cover image

Top-down quantitative proteomics identified phosphorylation of cardiac troponin I as a candidate biomarker for chronic heart failure.

Publication ,  Journal Article
Zhang, J; Guy, MJ; Norman, HS; Chen, Y-C; Xu, Q; Dong, X; Guner, H; Wang, S; Kohmoto, T; Young, KH; Moss, RL; Ge, Y
Published in: J Proteome Res
September 2, 2011

The rapid increase in the prevalence of chronic heart failure (CHF) worldwide underscores an urgent need to identify biomarkers for the early detection of CHF. Post-translational modifications (PTMs) are associated with many critical signaling events during disease progression and thus offer a plethora of candidate biomarkers. We have employed a top-down quantitative proteomics methodology for comprehensive assessment of PTMs in whole proteins extracted from normal and diseased tissues. We systematically analyzed 36 clinical human heart tissue samples and identified phosphorylation of cardiac troponin I (cTnI) as a candidate biomarker for CHF. The relative percentages of the total phosphorylated cTnI forms over the entire cTnI populations (%P(total)) were 56.4 ± 3.5%, 36.9 ± 1.6%, 6.1 ± 2.4%, and 1.0 ± 0.6% for postmortem hearts with normal cardiac function (n = 7), early stage of mild hypertrophy (n = 5), severe hypertrophy/dilation (n = 4), and end-stage CHF (n = 6), respectively. In fresh transplant samples, the %P(total) of cTnI from nonfailing donor (n = 4), and end-stage failing hearts (n = 10) were 49.5 ± 5.9% and 18.8 ± 2.9%, respectively. Top-down MS with electron capture dissociation unequivocally localized the altered phosphorylation sites to Ser22/23 and determined the order of phosphorylation/dephosphorylation. This study represents the first clinical application of top-down MS-based quantitative proteomics for biomarker discovery from tissues, highlighting the potential of PTMs as disease biomarkers.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

J Proteome Res

DOI

EISSN

1535-3907

Publication Date

September 2, 2011

Volume

10

Issue

9

Start / End Page

4054 / 4065

Location

United States

Related Subject Headings

  • Troponin I
  • Proteomics
  • Protein Processing, Post-Translational
  • Phosphorylation
  • Phenotype
  • Myocardium
  • Molecular Sequence Data
  • Mass Spectrometry
  • Linear Models
  • Humans
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zhang, J., Guy, M. J., Norman, H. S., Chen, Y.-C., Xu, Q., Dong, X., … Ge, Y. (2011). Top-down quantitative proteomics identified phosphorylation of cardiac troponin I as a candidate biomarker for chronic heart failure. J Proteome Res, 10(9), 4054–4065. https://doi.org/10.1021/pr200258m
Zhang, Jiang, Moltu J. Guy, Holly S. Norman, Yi-Chen Chen, Qingge Xu, Xintong Dong, Huseyin Guner, et al. “Top-down quantitative proteomics identified phosphorylation of cardiac troponin I as a candidate biomarker for chronic heart failure.J Proteome Res 10, no. 9 (September 2, 2011): 4054–65. https://doi.org/10.1021/pr200258m.
Zhang J, Guy MJ, Norman HS, Chen Y-C, Xu Q, Dong X, et al. Top-down quantitative proteomics identified phosphorylation of cardiac troponin I as a candidate biomarker for chronic heart failure. J Proteome Res. 2011 Sep 2;10(9):4054–65.
Zhang, Jiang, et al. “Top-down quantitative proteomics identified phosphorylation of cardiac troponin I as a candidate biomarker for chronic heart failure.J Proteome Res, vol. 10, no. 9, Sept. 2011, pp. 4054–65. Pubmed, doi:10.1021/pr200258m.
Zhang J, Guy MJ, Norman HS, Chen Y-C, Xu Q, Dong X, Guner H, Wang S, Kohmoto T, Young KH, Moss RL, Ge Y. Top-down quantitative proteomics identified phosphorylation of cardiac troponin I as a candidate biomarker for chronic heart failure. J Proteome Res. 2011 Sep 2;10(9):4054–4065.
Journal cover image

Published In

J Proteome Res

DOI

EISSN

1535-3907

Publication Date

September 2, 2011

Volume

10

Issue

9

Start / End Page

4054 / 4065

Location

United States

Related Subject Headings

  • Troponin I
  • Proteomics
  • Protein Processing, Post-Translational
  • Phosphorylation
  • Phenotype
  • Myocardium
  • Molecular Sequence Data
  • Mass Spectrometry
  • Linear Models
  • Humans