Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MRNA Expression data from transverse aortic constriction hearts (cardiovascular disease) and sham hearts in mice.

ABSTRACT: We used transverse aortic constraction pressure overload hypertrophy mouse hearts as a model of cardiovascular disease to study the genetic changes between TAC and SHAM (normal) mouse hearts and over 1 circadian cycle (24h). This is one approach to identify diurnal genetic biomarkers of cardiovascular disease. The micorarray approach allowed to see the gene expression in all genes in cardiovascular disease and sham hearts. There are 36 samples of cardiovascular disease (TAC) and normal SHAM hearts. For TAC: There were 3 mice sacrificed at each time point as biological replicates, for 6 timepoints over 24 hrs. For SHAM: There were 3 mice sacrificed at each time point as biological replicates, for 6 timepoints over 24 hrs.

ORGANISM(S): Mus musculus

SUBMITTER: Elena Tsimakouridze

PROVIDER: E-GEOD-36407 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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.

Dataset Information

MRNA Expression data from transverse aortic constriction hearts (cardiovascular disease) and sham hearts in mice.

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