identification of proteins implicated in the increased heart rate in shensongyangxin-treated bradycardia rabbits by itraq-based quantitative proteomics
Clicks: 256
ID: 191723
2015
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
256 views
46 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #257 of 899 articles by views in ACS applied materials & interfaces
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 899 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The present study tries to identify proteins implicated in bradycardia rabbits in hearts after ShenSongYangXin (SSYX, a traditional Chinese medicine) treatment. Eighteen adult rabbits were randomly assigned to three groups: sham, model, and SSYX treatment groups. Heart rate was recorded in rabbits and proteins were isolated from ventricular muscle. We used isobaric tags for elative and absolute quantitation (iTRAQ) coupled with two-dimensional liquid chromatography-tandem mass spectrometry to identify altered proteins after SSYX treatment. The heart rate decreased after six weeks due to the injury of the sinoatrial node in the model group. This effect was partially reversed by 4-week SSYX treatment. A total of a2988 proteins were quantified by performing the iTRAQ-based experiments. Of these, 86 proteins were differentially expressed according to our criteria (42 upregulated and 44 downregulated). The identification of key proteins implicated in the treatment of bradycardia could serve as a foundation to better understand and further explore the molecular mechanism of SSYX treatment.
| Reference Key |
liu2015evidence-basedidentification
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Zhouying Liu;Jian Huang;Youping Huo;Jing Gong;Yinhui Zhang;Cong Wei;Jielin Pu |
| Journal | ACS applied materials & interfaces |
| Year | 2015 |
| DOI |
10.1155/2015/385953
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.