Dynamics of Zebrafish Heart Regeneration Using an HPLC-ESI-MS/MS Approach

Danjun Ma, Chengjian Tu, Quanhu Sheng, Yuxi Yang, Zhisheng Kan, Yan Guo, Yu Shyr, Ian C. Scott, Xin Lou

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Failure to properly repair damaged due to myocardial infarction is a major cause of heart failure. In contrast with adult mammals, zebrafish hearts show remarkable regenerative capabilities after substantial damage. To characterize protein dynamics during heart regeneration, we employed an HPLC-ESI-MS/MS (mass spectrometry) approach. Myocardium tissues were taken from sham-operated fish and ventricle-resected sample at three different time points (2, 7, and 14 days); dynamics of protein expression were analyzed by an ion-current-based quantitative platform. More than 2000 protein groups were quantified in all 16 experiments. Two hundred and nine heart-regeneration-related protein groups were quantified and clustered into six time-course patterns. Functional analysis indicated that multiple molecular function and metabolic pathways were involved in heart regeneration. Interestingly, Ingenuity Pathway Analysis revealed that P53 signaling was inhibited during the heart regeneration, which was further verified by real-time quantitative polymerase chain reaction (Q-PCR). In summary, we applied systematic proteomics analysis on regenerating zebrafish heart, uncovered the dynamics of regenerative genes expression and regulatory pathways, and provided invaluable insight into design regenerative-based strategies in human hearts.

Original languageEnglish
Pages (from-to)1300-1308
Number of pages9
JournalJournal of Proteome Research
Volume17
Issue number3
DOIs
Publication statusPublished - 2018 Mar 2

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Chemistry(all)

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    Ma, D., Tu, C., Sheng, Q., Yang, Y., Kan, Z., Guo, Y., Shyr, Y., Scott, I. C., & Lou, X. (2018). Dynamics of Zebrafish Heart Regeneration Using an HPLC-ESI-MS/MS Approach. Journal of Proteome Research, 17(3), 1300-1308. https://doi.org/10.1021/acs.jproteome.7b00915