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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 |
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| Human Islets 1.1B4 |
GSM2310365
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GSM2310361
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GSM2310363
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GSM2310367
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GSM2310360 GSM2310362 GSM2310364
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GSM2310366
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Submission Date: Sep 14, 2016
Summary: Gene regulation associated with antioxidant defense system in pancreatic beta cells still needs to be elucidated, we found NR4A3 gene expression was up-regulated with 100mM H2O2, therefore, we analyzed the genes expression with Agilent micro-array after NR4A3 siRNA4 treatment by one color method, and found 1044 genes were up-regulated and 859 genes were down regulated in NR4A3 knocked down cell. Changes of some genes expressions were confirmed by real time PCR.
The genes of 1044 in NR4A3 siRNA treated cell were up-regulated over 2 folds and 859 genes were down-regulated under 0.67 folds compared with control sample.
GEO Accession ID: GSE86924
PMID: No Pubmed ID
Submission Date: Sep 14, 2016
Summary: Gene regulation associated with antioxidant defense system in pancreatic beta cells still needs to be elucidated, we found NR4A3 gene expression was up-regulated with 100mM H2O2, therefore, we analyzed the genes expression with Agilent micro-array after NR4A3 siRNA4 treatment by one color method, and found 1044 genes were up-regulated and 859 genes were down regulated in NR4A3 knocked down cell. Changes of some genes expressions were confirmed by real time PCR.
The genes of 1044 in NR4A3 siRNA treated cell were up-regulated over 2 folds and 859 genes were down-regulated under 0.67 folds compared with control sample.
GEO Accession ID: GSE86924
PMID: No Pubmed ID
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:
No precomputed signatures are currently available for this study. You can compute differential gene expression on the fly below:
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.