Literature DB >> 26786870

Proteomics Analysis Revealed an Altered Left Ventricle Protein Profile in a Mouse Model of Transverse Aortic Constriction.

Dawei Guan, Yan Zhao, Yuan Zhang, Dongqi Tang, Qi Wu1.   

Abstract

To identify proteins involved in the molecular mechanisms of pressure overload-induced heart failure, we quantitatively analyzed the left ventricular proteomic profile in a transverse aortic constriction (TAC) mouse model, a well-established model of cardiac hypertrophy and dysfunction. Multidimensional LC-MS/MS in combination with Isobaric Tags for Relative and Absolute Quantification (iTRAQ) labeling were used to analyze cardiac tissue samples and identify proteins that are differentially expressed in the left ventricle of mice that were challenged by TAC through 14 and 28 days. In this study, 1,748 high-quality reference proteins were identified compared with control mice, which showed 64 proteins up-regulated and 68 proteins down-regulated in the left ventricle of TAC mice through 14 days. Meanwhile, 46 proteins were upregulated and 40 proteins were down-regulated in the left ventricle of TAC mice through 28 days. Of all the differentially expressed proteins, we performed GO, pathway analysis and their interactions to the differentially expressed proteins and found that most of the proteins are related to cardiac muscle contraction, energy metabolism, occurrence of diseases and signal transduction. These proteins represent potential novel diagnostic and therapeutic targets for the treatment of pressure overload-induced heart failure.

Entities:  

Mesh:

Year:  2016        PMID: 26786870     DOI: 10.2174/0929866523666151125231747

Source DB:  PubMed          Journal:  Protein Pept Lett        ISSN: 0929-8665            Impact factor:   1.890


  2 in total

1.  Multiomic Profiling in Black and White Populations Reveals Novel Candidate Pathways in Left Ventricular Hypertrophy and Incident Heart Failure Specific to Black Adults.

Authors:  Daniel H Katz; Usman A Tahir; Debby Ngo; Mark D Benson; Yan Gao; Xu Shi; Matthew Nayor; Michelle J Keyes; Martin G Larson; Michael E Hall; Adolfo Correa; Sumita Sinha; Dongxiao Shen; Matthew Herzig; Qiong Yang; Jeremy M Robbins; Zsu-Zsu Chen; Daniel E Cruz; Bennet Peterson; Ramachandran S Vasan; Thomas J Wang; James G Wilson; Robert E Gerszten
Journal:  Circ Genom Precis Med       Date:  2021-05-21

2.  Changes of protein levels in human urine reflect the dysregulation of signaling pathways of chronic kidney disease and its complications.

Authors:  Yiming Hao; Luis Tanon Reyes; Robert Morris; Yifeng Xu; Yiqin Wang; Feng Cheng
Journal:  Sci Rep       Date:  2020-11-27       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.