Microarray Data Explorer
Info 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.
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GROUP CONDITION SAMPLES
Human Islets 1.1B4
GSM2310360 GSM2310362 GSM2310364
GSM2310363
GSM2310366
GSM2310361
GSM2310365
GSM2310367
Description

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

Description

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

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Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

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Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
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