NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE48166 Query DataSets for GSE48166
Status Public on Dec 19, 2013
Title RNA-seq identifies novel transcript elements and transcript processing in the normal and failing hearts
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Changes in gene expression contribute to the pathogenesis of heart failure. The sequence, expression level, and structure of the human cardiac transcriptome are incompletely described, as are their changes in heart disease. High throughput transcriptome sequencing (RNA-seq) is a quantitative and unbiased approach to measure transcript level and to identify novel transcribed elements or transcript splicing. Here we acquired 975.2 x 106 mapped RNA-seq reads in 15 control and 15 ischemic cardiomyopathy (ICM) hearts, obtained at the time of heart transplantation. We identified over 1000 differentially expressed transcripts, and thousands of novel transcribed elements, some of which were differentially expressed in between control and ICM groups. We found that transcript processing of several cardiac genes was deranged in ICM. For instance, the ratio between specific MYH6 exons was significantly changed in ICM compared to controls, while this type of inter-exon variation was not observed for the adjoining gene MYH7. This RNA-seq study of the human heart failure transcriptome revealed the diversity of transcripts expressed in the human heart and their complex patterns of expression in the diseased heart.
 
Overall design Transcriptome profiling (RNA-seq) of 15 control and 15 ischemic cardiomyopathy (ICM) hearts using Illumina GAII and SOLiD
 
Contributor(s) Wang L, Hu Y, Pu W
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Jun 20, 2013
Last update date May 15, 2019
Contact name LIGUO WANG
E-mail(s) [email protected]
Organization name Mayo Clinic
Department Division of Computational Biology
Street address 200 1st St SW
City Rochester
State/province MN
ZIP/Postal code 55905
Country USA
 
Platforms (2)
GPL9115 Illumina Genome Analyzer II (Homo sapiens)
GPL9442 AB SOLiD System 3.0 (Homo sapiens)
Samples (32)
GSM1171549 control rep1
GSM1171550 control rep2
GSM1171551 control rep3
Relations
BioProject PRJNA209081
SRA SRP026208

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE48166_Cufflinks_FPKM.txt.gz 5.2 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap