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Raw gene Expression data is sourced from GEO, and the appropriate db package for mapping probes to gene symbols was sourced from the Bioconductor AnnotationData packages.
You can read more about microarray data here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| Left ventricular |
GSM309966 GSM309967 GSM309968 GSM309969
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GSM309962 GSM309963 GSM309964 GSM309965
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GSM309970 GSM309971 GSM309972 GSM309973
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GSM309958 GSM309959 GSM309960 GSM309961
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Submission Date: Aug 05, 2008
Summary: Findings suggest that PPARalpha plays a decisive role in the development of hypertrophy, affecting the functional outcome of the heart. Unfortunately, information on the nature of PPARalpha-dependent processes in cardiac hypertrophy is fragmentary and incomplete.
The primary aim of this study was to identify the processes and signaling pathways regulated by PPARalpha in hearts challenged by a chronic pressure overload by means of whole genome transcriptomic analysis. Second, we wanted to gain insight how PPARalpha modulates the identified processes, e.g. by trans-activation or by trans-repression.
Keywords: 28 days of TAC
GEO Accession ID: GSE12337
PMID: 18812456
Submission Date: Aug 05, 2008
Summary: Findings suggest that PPARalpha plays a decisive role in the development of hypertrophy, affecting the functional outcome of the heart. Unfortunately, information on the nature of PPARalpha-dependent processes in cardiac hypertrophy is fragmentary and incomplete.
The primary aim of this study was to identify the processes and signaling pathways regulated by PPARalpha in hearts challenged by a chronic pressure overload by means of whole genome transcriptomic analysis. Second, we wanted to gain insight how PPARalpha modulates the identified processes, e.g. by trans-activation or by trans-repression.
Keywords: 28 days of TAC
GEO Accession ID: GSE12337
PMID: 18812456
Visualize Samples
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
Precomputed Differential Gene Expression
Differential expression signatures are automatically computed using the limma R package.
More options for differential expression are available to compute below.
Signatures:
Select conditions:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
Differential expression signatures can be computed using DESeq2 or characteristic direction.