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Status |
Public on Aug 11, 2018 |
Title |
Integrative analysis of the genomic architecture of a complex kidney damage QTL in inbred hypertensive rats implies Tmem63c for translational research |
Organism |
Rattus norvegicus |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Despite recent advances in genomics, the identification of genes underlying complex diseases remains challenging. Inbred rat strains offer well-established experimental models to support the identification of susceptibility genes for diseases such as kidney damage associated with elevated blood pressure or hypertension. Here, we combined quantitative trait locus (QTL) mapping in two contrasting inbred rat strains with targeted next generation sequencing (NGS), compartment-specific transcriptome sequencing (RNA-Seq), and phenotype directed follow-up translational analysis.
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Overall design |
mRNA profiles of spontaneously hypertensive rats and Munich Wistar Frömter rats were generated by deep sequencing, in triplicate, using NextSeq 500
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Contributor(s) |
Barysenka A, Schulz A, van de Lest NA, Eisenreich A, Schmidbauer M, Müller N, Lorenzen T, Meyer A, Herlan L, Witten A, Rühle F, Zhou W, de Heer E, Scharpfenecker M, Panakova D, Stoll M, Kreutz R |
Citation(s) |
30900988 |
Submission date |
Aug 11, 2017 |
Last update date |
May 15, 2019 |
Contact name |
Andrei Barysenka |
E-mail(s) |
andrei.barysenka@uni-muenster.de
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Organization name |
Institute of Human Genetics, University of Muenster
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Department |
Genetic Epidemiology
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Street address |
Domagkstrasse 3
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City |
Muenster |
ZIP/Postal code |
48149 |
Country |
Germany |
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Platforms (1) |
GPL20084 |
Illumina NextSeq 500 (Rattus norvegicus) |
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Samples (6)
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Relations |
BioProject |
PRJNA398012 |
SRA |
SRP115283 |
Supplementary file |
Size |
Download |
File type/resource |
GSE102546_cuffdiff.gene_exp.diff.gz |
1.0 Mb |
(ftp)(http) |
DIFF |
GSE102546_deseq2.results.csv.gz |
1.2 Mb |
(ftp)(http) |
CSV |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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