Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Cardiac phase-targeted dynamic load on left ventricle differentially regulates phase-sensitive gene expressions and pathway activation


ABSTRACT: Each heart was assigned to one of the following three conditions: phasic systolic overload (SO), phasic diastolic overload (DO), and no loading throughout the cardiac cycle (control; CN). We created SO by isovolumic contraction (peak systolic LVP > 170 mmHg) at a constant diastolic volume with end-diastolic pressure (EDP) equals 0 mmHg. For DO, we increased LVV in diastole so that EDP reached 40 mmHg, and unloaded quickly in systole to minimize LVP generation. At the end of 3 hours, the myocardium from each heart was collected for subsequent analyses. rat heart subjected to phasic systolic overload and diastolic overload

ORGANISM(S): Rattus norvegicus

SUBMITTER: tomomi ide 

PROVIDER: E-GEOD-44108 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Cardiac phase-targeted dynamic load on left ventricle differentially regulates phase-sensitive gene expressions and pathway activation.

Onitsuka Ken K   Ide Tomomi T   Arai Shinobu S   Hata Yuko Y   Murayama Yoshinori Y   Hosokawa Kazuya K   Sakamoto Takafumi T   Tobushi Tomoyuki T   Sakamoto Kazuo K   Fujino Takeo T   Sunagawa Kenji K  

Journal of molecular and cellular cardiology 20130901


The heart has remarkable capacity to adapt to mechanical load and to dramatically change its phenotype. The mechanism underlying such diverse phenotypic adaptations remains unknown. Since systolic overload induces wall thickening, while diastolic overload induces chamber enlargement, we hypothesized that cardiac phase-sensitive mechanisms govern the adaptation. We inserted a balloon into the left ventricle (LV) of a Langendorff perfused rat heart, and controlled LV volume (LVV) using a high perf  ...[more]

Similar Datasets

2013-02-07 | GSE44108 | GEO
2007-11-13 | E-GEOD-5500 | biostudies-arrayexpress
2006-08-12 | GSE5500 | GEO
2010-02-21 | E-GEOD-19210 | biostudies-arrayexpress
| 88222 | ecrin-mdr-crc
2007-11-29 | E-GEOD-4745 | biostudies-arrayexpress
2006-05-08 | GSE4745 | GEO
2014-12-08 | E-GEOD-46863 | biostudies-arrayexpress
2010-02-01 | GSE19210 | GEO
2017-06-23 | ST000628 | MetabolomicsWorkbench