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accession-icon SRP136481
Regional differences in mRNA and lncRNA expression patterns in the non-failing human heart
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background: Although chamber specialization is critical for proper cardiac function, a comprehensive, genome-wide analysis of the cardiac transcriptome, including identification of regional differences in mRNA and lncRNA expression patterns for the four chambers and interventricular septum of the non-failing human heart, has not been performed. Methods and Results: mRNA and long noncoding RNA (lncRNA) transcriptional profiling of the left (LA) and right (RA) atria, left (LV) and right (RV) ventricles, and the interventricular septum (IVS) of non-failing human hearts (N=8) was performed by deep sequencing. Analysis of the mRNA and lncRNA expression profiles revealed that the different regions of the heart are distinct. Differential expression analysis of paired tissue samples identified 5,747 mRNAs and 2,794 lncRNAs with chamber-enriched expression patterns. The largest differences in mRNA and lncRNA expression were evident between atria and ventricular samples, including regional differences in ~20% of all cardiac expressed mRNA and lncRNA transcripts. Regional differences in mRNA and lncRNA expression were also evident, although to a lesser extent, between the LA and RA, and between the LV, RV and IVS. Gene ontology classification of differentially expressed gene sets revealed regional differences in chamber specialization, including differences in signaling, metabolism, and muscle contraction. Sex differences in mRNA and lncRNA gene expression profiles were also identified between male and female LA and RA samples. Conclusions: There are marked regional differences in the mRNA and lncRNA expression profiles in non-failing adult human heart, and are associated with chamber specialization. Overall design: 8 human hearts, 5 chambers from each

Publication Title

Regional Differences in mRNA and lncRNA Expression Profiles in Non-Failing Human Atria and Ventricles.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon SRP039959
Next Generation Sequencing of Wild-Type C57BL/6J Mouse Cardiac Small RNA
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Next-generation sequencing (NGS) provides for quantitation of RNA abundances and comparison of RNA abundances within tissues and cells in a manner not possible with previous microarray technologies. We have made widespread use of Illumina sequencing technologies for RNA quantitation in several publications involving mouse hearts, dating from 2010, and wish to share both high-quality raw sequencing data and data processed to quantitate mRNA abundances from wild-type mice, male and female, at a variety of ages. These data will provide a resource for investigators using microarrays to understand the concentration of transcripts of interest relative to other cardiac RNAs, and will permit deeper interpretation of previous microarray studies. Overall design: 6 cardiac small RNA (microRNA) profiles of 18 week-old C57BL/6J wild type (WT) mice were generated on Illumina HiSeq 2000 instruments.

Publication Title

Menage a Trois: intimate relationship among a microRNA, long noncoding RNA, and mRNA.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP039958
Next Generation Sequencing of Wild-Type C57BL/6J Mouse Cardiac Polyadenylated RNA
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Next-generation sequencing (NGS) provides for quantitation of RNA abundances and comparison of RNA abundances within tissues and cells in a manner not possible with previous microarray technologies. We have made widespread use of Illumina sequencing technologies for RNA quantitation in several publications involving mouse hearts, dating from 2010, and wish to share both high-quality raw sequencing data and data processed to quantitate mRNA abundances from wild-type mice, male and female, at a variety of ages (see our FVB/NJ data submission). These data will provide a resource for investigators using microarrays to understand the concentration of transcripts of interest relative to other cardiac RNAs, and will permit deeper interpretation of previous microarray studies. Overall design: 4 cardiac polyA+-RNA profiles of 12 week-old C57BL/6J wild type (WT) mice were generated on Illumina HiSeq 2000 instruments.

Publication Title

Menage a Trois: intimate relationship among a microRNA, long noncoding RNA, and mRNA.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP064762
Chronic cardiac contractile dysfunction without hypertrophy does not provoke a compensatory transcriptional response
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

mRNA-sequencing from ribosomal RNA-depleted cardiac total RNA was performed 9 weeks after injection of rAAV6-PLCb1a, rAAV6-PLCb1b or rAAV6-blank viri into the tail vein of C57BL/6 male mice (7-8 weeks of age at time of injection). Overall design: 6 biological replicates each of rAAV6-PLCb1a, rAAV6-PLCb1b or rAAV6-blank-treated mice.

Publication Title

Chronic Contractile Dysfunction without Hypertrophy Does Not Provoke a Compensatory Transcriptional Response in Mouse Hearts.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon SRP047487
mRNA- and RISC-sequencing of mouse hearts overexpressing miR-378a
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon

Description

Rationale: MicroRNAs play key roles in hypertrophic stress responses. miR-378(-3p) is a highly abundant, cardiomyocyte-enriched microRNA whose downregulation in pressure-overload has been suggested as detrimental to the heart. Previous studies have utilized systemic anti-miR or microRNA-encoding virus administration, and thus questions regarding the cardiomyocyte-autonomous roles of miR-378 remain. Objective: To examine whether persistent overexpression of miR-378 in cardiomyocytes alters the phenotype of the unstressed heart, whether its overexpression is beneficial or deleterious in the setting of pressure-overload, and to comprehensively identify its cardiomyocyte-specific effects on mRNA regulation. Methods and Results: Cardiac function was compared in young (10-12 week-old) mice overexpressing miR-378 in the heart under the control of the Myh6 promoter (alphaMHC-miR-378 mice), in older (40 week-old) mice and their age-matched wild-type controls. Older alphaMHC-miR-378 mice exhibited decreased fractional shortening and modest chamber dilation with an increase in cardiomyocyte length. When subjected to pressure-overload, cardiomyocyte length was increased in young alphaMHC-miR-378 mice, but fractional shortening declined precipitously over two weeks. Transcriptome profiling of wild-type and alphaMHC-miR-378 hearts in unstressed and pressure-overload conditions revealed dysregulation of several upstream metabolic and mitochondrial genes in alphaMHC-miR-378 hearts, compromising the reprogramming that occurs during early adaptation to pressure overload. Ago2 immunoprecipitation with mRNA sequencing revealed novel miR-378 cardiac mRNA targets including Akt1 and Epac2 and demonstrated the contextual nature of previously described miR-378 targeting events. Conclusions: Long-term upregulation of miR-378 levels in the heart is not innocuous and exacerbates contractile dysfunction in pressure-overload hypertrophy through numerous signaling mechanisms. Overall design: Cardiac polyadenylated RNA (mRNA) or RISC-seq (total RNA-seq of Ago2 immunoprecipitate) profiles were generated from nontransgenic and transgenic mouse hearts of FVB/N background, on Illumina HiSeq 2000 instruments. Male mice 8-12 weeks of age were used in these studies, and subjected to sham surgery or 2 weeks of pressure-overload via transverse aortic constriction (TAC). 3 nontransgenic sham, 3 transgenic sham, 7 nontransgenic TAC, 7 transgenic TAC, each with mRNA-seq and RISC-seq data.

Publication Title

Cardiac Disease Status Dictates Functional mRNA Targeting Profiles of Individual MicroRNAs.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP052702
mRNA- and RISC-sequencing of mouse hearts overexpressing miR-133a
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon

Description

miR-133a-3p is a highly abundant cardiomyocyte-enriched microRNA whose expression is persistently decreased in response to pressure overload (or transverse aortic constriction, TAC) in mice. Overexpression of miR-133a in cardiomyocytes of mouse hearts in vivo (under the control of the Myh6 promoter) decreases pressure overload-induced apoptosis and fibrosis. In previous studies using microarray platforms, we detected numerous mRNAs whose transcript levels were altered by either or both of miR-133a overexpression and pressure overload. The data set presented here builds upon our previous study in these mice by examining mRNA-RISC associations (using Ago2-immunoprecipitated RNA) and global mRNA abundances via RNA-sequencing procedures, and tests the hypothesis that mRNAs targeted by overexpressed miR-133a are dissimilar between sham and TAC contexts. Overall design: Cardiac polyadenylated RNA (mRNA) profiles were generated from nontransgenic and transgenic mouse hearts of FVB/N background, on Illumina HiSeq 2000 instruments. Male mice 8-12 weeks of age were used in these studies, and subjected to sham surgery or 1 week of pressure-overload via transverse aortic constriction (TAC). 3 nontransgenic sham, 7 transgenic sham, 5 nontransgenic TAC, 4 transgenic TAC, each with mRNA-seq and RISC-seq (mRNA-seq of Ago2 immunoprecipitate) data.

Publication Title

Cardiac Disease Status Dictates Functional mRNA Targeting Profiles of Individual MicroRNAs.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP039961
Next Generation Sequencing of Wild-Type FVB/NJ Mouse Cardiac Polyadenylated RNA
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Next-generation sequencing (NGS) provides for quantitation of RNA abundances and comparison of RNA abundances within tissues and cells in a manner not possible with previous microarray technologies. We have made widespread use of Illumina sequencing technologies for RNA quantitation in several publications involving mouse hearts, dating from 2010, and wish to share both high-quality raw sequencing data and data processed to quantitate mRNA abundances from wild-type mice, male and female, at a variety of ages. These data will provide a resource for investigators using microarrays to understand the concentration of transcripts of interest relative to other cardiac RNAs, and will permit deeper interpretation of previous microarray studies. Overall design: 40 cardiac polyA+-RNA profiles of 4- to 16 week-old FVB/NJ wild type (WT) mice were generated on Illumina HiSeq 2000 instruments.

Publication Title

Epitranscriptional orchestration of genetic reprogramming is an emergent property of stress-regulated cardiac microRNAs.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP049245
RNA-sequencing of unstressed and pressure-overloaded C57 mouse hearts with single or combined ablation of PKCdelta and PKCepsilon
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Combinatorial ablation of the major cardiac-expressed novel protein kinase C isoforms, PKCdelta and PKCepsilon, in murine cadiac myocytes unmasked functionally redundant growth-limiting effects of these kinases in hemodynamically stressed adult hearts and during normal embryonic cardiac development, mediated in part by shared transcriptional de-repression of ERK and periostin signaling. Overall design: 14 cardiac polyA+-RNA profiles from unstressed, 12 week-old C57BL/6J-background mice (4 wild-type, 3 postnatal cardiac PKCdelta ablation, 3 germline PKCepsilon knockout, 4 combined knockouts) and 15 profiles generated 4 weeks after TAC induction (4 wild-type, 3 PKCdelta, 4 PKCepsilon, 4 combined knockout) were generated on Illumina HiSeq 2000 instruments.

Publication Title

Combined cardiomyocyte PKCδ and PKCε gene deletion uncovers their central role in restraining developmental and reactive heart growth.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP058378
Parkin-mediated mitophagy evokes perinatal cardiac mitochondria maturation
  • organism-icon Mus musculus
  • sample-icon 63 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Exclusion of Parkin from mitochondria of perinatal cardiomyocytes interrupts structural and molecular transformations essential to normal perinatal-adult mitochondrial replacement. mRNA-sequencing from cardiac total RNA was performed at P1, P21 and 5-week stages of nontransgenic (ntg) and human-Mfn2-overexpressing (Mfn2wt) hearts, and also of tet-off control (tetoff) and human-Mfn2 T111A/S442A-overexpressing (Mfn2AA) hearts. Overall design: Libraries from all P1 samples were prepared and analyzed together, and similarly all P21 libraries, and all 5-week libraries together. To facilitate comparison across time points by accounting for batch effect, new libraries were prepared starting from total RNA from selected P21 ntg and 5-week ntg hearts subjected to prior analysis, during the same batch preparation as all P1 samples, and analyzed together. Correction for differences observed between libraries prepared from the same total RNA, but at different times, allows comparison across timepoints.

Publication Title

Parkin-mediated mitophagy directs perinatal cardiac metabolic maturation in mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP043194
Polyadenylated RNA Sequencing of C57BL/6J Embryonic, Adult and Pressure-Overloaded Hearts
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

A few reports have implicated specific lncRNAs in cardiac development or failure, but precise details of lncRNAs expressed in hearts and how their expression may be altered during embryonic heart development or by adult heart disease is unknown. By comparing lncRNA profiles of normal embryonic (~E14), normal adult, and hypertrophied adult hearts we defined a distinct fetal lncRNA abundance signature that includes 157 lncRNAs differentially expressed compared to adults (fold-change = 50%, FDR=0.02), and which was only poorly recapitulated in hypertrophied hearts (17 differentially expressed lncRNAs; 13 of these observed in embryonic hearts). Analysis of protein-coding mRNAs from the same samples identified 22 concordantly and 11 reciprocally regulated mRNAs within 10 kb of dynamically expressed lncRNAs, reciprocal relationships of lncRNA and mRNA levels was validated for the Mccc1 and Relb genes using in vitro lncRNA knockdown in C2C12 cells. Network analysis suggested a central role for lncRNAs in modulating NFkappaB- and CREB1-regulated genes during embryonic heart growth and identified multiple mRNAs within these pathways that are also regulated, but independently of lncRNAs. Overall design: Cardiac polyadenylated RNA (mRNA and lncRNA) profiles were generated from C57BL/6J mouse hearts were generated on Illumina HiSeq 2000 instruments. 7 independent E13.5 hearts, 12 adult hearts (6 at 6 weeks of age, 6 at 16 weeks of age), 4 sham-operated hearts at 12 weeks of age, and 4 hearts after 4 weeks of pressure overload (TAC) at 12 weeks of age.

Publication Title

Epigenetic coordination of embryonic heart transcription by dynamically regulated long noncoding RNAs.

Sample Metadata Fields

No sample metadata fields

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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