ArticleCirculation research2010
Deep mRNA sequencing for in vivo functional analysis of cardiac transcriptional regulators: application to Galphaq.
Article in Circulation research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
59 citing papers in PubMed, 79 citations in OpenAlex.
- PGRMC2 is a pressure-volume regulator critical for myocardial responses to stress in mice.Nature communications · 2025Article
- Diversity of cells and signals in the cardiovascular system.The Journal of physiology · 2023Article
- Neurohormonal connections with mitochondria in cardiomyopathy and other diseases.American journal of physiology. Cell physiology · 2022Review
- Perspectives on Bulk-Tissue RNA Sequencing and Single-Cell RNA Sequencing for Cardiac Transcriptomics.Frontiers in molecular medicine · 2022Review
- Taking Data Science to Heart: Next Scale of Gene Regulation.Current cardiology reports · 2021Review
- An Omics View of Emery-Dreifuss Muscular Dystrophy.Journal of personalized medicine · 2020Review
- Long-term functional and structural preservation of precision-cut human myocardium under continuous electromechanical stimulation in vitro.Nature communications · 2019Article
- Transcriptomic Analysis of Shiga Toxin-ProducingFrontiers in microbiology · 2018Article
- Whole blood gene expression and white matter Hyperintensities.Molecular neurodegeneration · 2017Article
- Ovarian transcriptome associated with reproductive senescence in the long-living Ames dwarf mice.Molecular and cellular endocrinology · 2017Article
- Chronic Contractile Dysfunction without Hypertrophy Does Not Provoke a Compensatory Transcriptional Response in Mouse Hearts.PloS one · 2016Article
- Physiological and transcriptional analyses of developmental stages along sugarcane leaf.BMC plant biology · 2015Article
- Efficient extraction of small and large RNAs in bacteria for excellent total RNA sequencing and comprehensive transcriptome analysis.BMC research notes · 2015Article
- Prolonged Cre expression driven by the α-myosin heavy chain promoter can be cardiotoxic.Journal of molecular and cellular cardiology · 2015Article
- Long noncoding RNAs in cardiac development and ageing.Nature reviews. Cardiology · 2015Review
- Comparative transcriptomic analysis of multiple cardiovascular fates from embryonic stem cells predicts novel regulators in human cardiogenesis.Scientific reports · 2015Article
- Cardiac transcriptome and dilated cardiomyopathy genes in zebrafish.Circulation. Cardiovascular genetics · 2015Article
- Mitochondrial reprogramming induced by CaMKIIδ mediates hypertrophy decompensation.Circulation research · 2015Article
- Deep sequencing of cardiac microRNA-mRNA interactomes in clinical and experimental cardiomyopathy.Methods in molecular biology (Clifton, N.J.) · 2015Article
- Whole blood gene expression and interleukin-6 levels.Genomics · 2014Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
rationaleTranscriptional 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.
objectiveTo 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
resultsThe 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 transcripts (>60 copies/cell) comprised 55% of total cardiac mRNA. Parallel transcriptional profiling of Galphaq transgenic and nontransgenic hearts by Illumina RNA sequencing and Affymetrix Mouse Gene 1.0 ST arrays revealed superior dynamic range for mRNA expression and enhanced specificity for reporting low-abundance transcripts by RNA sequencing. Differential mRNA expression in Galphaq and nontransgenic hearts correlated well between microarrays and RNA sequencing for highly abundant transcripts. RNA sequencing was superior to arrays for accurately quantifying lower-abundance genes, which represented the majority of the regulated genes in the Galphaq transgenic model.
conclusionsRNA sequencing is rapid, accurate, and sensitive for identifying both abundant and rare cardiac transcripts, and has significant advantages in time- and cost-efficiencies over microarray analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.