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Dataset Information

Deep mRNA sequencing for in vivo functional analysis of cardiac transcriptional regulators: application to Galphaq.


ABSTRACT:

Rationale

Transcriptional profiling can detect subclinical heart disease and provide insight into disease etiology and functional status. Current microarray-based methods are expensive and subject to artifact.

Objective

To develop RNA sequencing methodologies using next generation massively parallel platforms for high throughput comprehensive analysis of individual mouse cardiac transcriptomes. To compare the results of sequencing- and array-based transcriptional profiling in the well-characterized Galphaq transgenic mouse hypertrophy/cardiomyopathy model.

Methods and results

The techniques for preparation of individually bar-coded mouse heart RNA libraries for Illumina Genome Analyzer II resequencing are described. RNA sequencing showed that 234 high-abundance transc

SUBMITTER: Matkovich SJ 

PROVIDER: S-EPMC2891025 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature