Dataset Information

Influence of the Soluble Guanylate Cyclase Stimulator Riociguat on Myocardial Left Ventricular Proteome and microRNA expression after Experimental Aortic Stenosis in Mice

ABSTRACT: We analyzed global proteomic adaptations during heart failure (HF) progression in a mouse model, suffering from left ventricular pressure overload due to transverse aortic constriction (TAC) and in response to riociguat (RIO) treatment, to gain deeper insights in beneficial effects due to sGC stimulation on cardiac remodeling and HF. TAC and sham animals were treated with either riociguat (RIO; 3 mg/kg/day) or vehicle (VEH; Transcutol®/Cremophor®/water: 10%/20%/70%) for five weeks, starting three weeks post-op when cardiac hypertrophy was established, resulting in four treatment groups ( n=5-6 per group). At the end of the study, hearts were dissected and proteomes of the left ventricles (LV) were analyzed by mass spectrometry (MS).

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Heart, Cardiac Muscle Of Left Ventricle

DISEASE(S): Heart Failure

SUBMITTER: Alexander Benkner

LAB HEAD: Elke Hammer

PROVIDER: PXD024156 | Pride | 2022-07-19

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	170114_OV1_AB__S_LM_30.raw	Raw
	170114_OV1_AB__S_LM_31.raw	Raw
	170114_OV1_AB__S_LM_32.raw	Raw
	170114_OV1_AB__S_LM_33.raw	Raw
	170114_OV1_AB__S_LM_34.raw	Raw

Items per page:

1 - 5 of 24

Similar Datasets

Project description:Accurate and comprehensive de novo transcriptome profiling in heart is a central issue to better understand cardiac physiology and diseases. Although significant progress has been made in genome-wide profiling for quantitative changes in cardiac gene expression, current knowledge offers limited insights to the total complexity in cardiac transcriptome at individual exon level. To develop more robust bioinformatic approaches to analyze high-throughput RNA sequencing (RNA-Seq) data, with the focus on the investigation of transcriptome complexity at individual exon and transcript levels. In addition to overall gene expression analysis, the methods developed in this study were used to analyze RNA-Seq data with respect to individual transcript isoforms, novel spliced exons, novel alternative terminal exons, novel transcript clusters (i.e., novel genes) and long non-coding RNA genes. We applied these approaches to RNA-Seq data obtained from mouse hearts following pressure-overload induced by trans-aortic constriction. Based on experimental validations, analyses of the features of the identified exons/transcripts, and expression analyses including previously published RNA-Seq data, we demonstrate that the methods are highly effective in detecting and quantifying individual exons and transcripts. Novel insights inferred from the examined aspects of the cardiac transcriptome open ways to further experimental investigations. Our work provided a comprehensive set of methods to analyze mouse cardiac transcriptome complexity at individual exon and transcript levels. Applications of the methods may infer important new insights to gene regulation in normal and disease hearts in terms of exon utilization and potential involvement of novel components of cardiac transcriptome. Left ventricular tissues were collected from C57BL/6 mice after 1 week (hypertrophy stage, HY) and 8 weeks post trans-aortic constriction (TAC) procedure (heart failure stage, HF), respectively, and their corresponding Sham controls (Sham-HY, Sham-HF). To conduct RNA-Seq analysis, total RNAs from six TAC and Sham-operated mice at the HY stage and four TAC and corresponding Sham mice at the HF stage were obtained.

Project description:BACKGROUND: Cardiac hypertrophy compensates for increased biomechanical stress of the heart induced by prevalent cardiovascular pathologies, but can result in cardiac failure if left untreated. We hypothesized that the tail-anchored protein Dysferlin with multiple Ca2+-binding C2-domains is critical for the integrity of the transverse-axial tubule (TAT) network inside cardiomyocytes, and contributes to the proliferation of TAT endomembranes during pressure overload-induced cardiac hypertrophy. OBJECTIVE: To reveal the impact of the membrane fusion and repair protein Dysferlin on TAT network stabilization and proliferation necessary for the hypertrophic growth of cardiomyocytes. METHODS AND RESULTS: Super-resolution light and electron microscopy of mouse cardiomyocytes identified a specific localization of Dysferlin in a vesicular compartment in nanometric proximity to contact sites of the TAT network with the sarcoplasmic reticulum (SR), a.k.a. junctional complexes for Ca2+-induced Ca2+ release. Mass spectrometry was used to characterize the cardiac Dysferlin interactome, thereby identifying a novel protein interaction with the membrane-tethering SR protein Juncophilin-2, a known interactor of L-type Ca2+ channels and Ryanodine Receptor Ca2+ release channels in junctional complexes. While the Dysferlin knockout caused a mild progressive phenotype of dilated cardiomyopathy in the mouse heart, global proteome analysis revealed changes preceding systolic failure. Following transverse aortic constriction (TAC), Dysferlin protein expression was significantly increased in hypertrophied wild-type myocardium, while Dysferlin knockout animals presented markedly reduced left-ventricular hypertrophy. Live-cell membrane imaging demonstrated a profound reorganization of the TAT network in wild-type left-ventricular myocytes post-TAC with robust proliferation of axial tubules, which critically depended on the increased expression of Dysferlin within newly-emerging tubule components. CONCLUSIONS: Dysferlin represents a new molecular target in cardiac disease that protects the integrity of tubule-SR junctional complexes for regulated excitation-contraction coupling, and controls TAT network reorganization and tubular membrane proliferation in cardiomyocyte hypertrophy induced by pressure-overload.

Dataset Information

Influence of the Soluble Guanylate Cyclase Stimulator Riociguat on Myocardial Left Ventricular Proteome and microRNA expression after Experimental Aortic Stenosis in Mice

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets