Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
Enter gene symbol:

Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
Female C57BL/6N mice
GSM3672440 GSM3672441 GSM3672442 GSM3672443
GSM3672447 GSM3672448 GSM3672449
Male C57BL/6N mice
GSM3672444 GSM3672445 GSM3672446
GSM3672450 GSM3672451
Description

Submission Date: Mar 15, 2019

Summary: The present study was conducted to capture signatures of isocitrate dehydrogenase 2 deficient (Idh2-/-) mice liver transcriptome using mRNA sequencing technique which provides information to discover new transcripts and to quantify transcript levels. Using this mRNA sequencing results, bioinformatic analyses will be performed to further identify key biological functions of Idh2 influencing disease-related signaling pathways.

GEO Accession ID: GSE128361

PMID: 31546946

Description

Submission Date: Mar 15, 2019

Summary: The present study was conducted to capture signatures of isocitrate dehydrogenase 2 deficient (Idh2-/-) mice liver transcriptome using mRNA sequencing technique which provides information to discover new transcripts and to quantify transcript levels. Using this mRNA sequencing results, bioinformatic analyses will be performed to further identify key biological functions of Idh2 influencing disease-related signaling pathways.

GEO Accession ID: GSE128361

PMID: 31546946

Visualize Samples

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.

Signatures:

Select conditions:

Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
Select differential expression analysis method:
Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.