GSE122348: Glucagon receptor blocked liver gene signature

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.
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GROUP CONDITION SAMPLES
Chow Diet; Male C57BL/6J mice
GSM3464436 GSM3464437 GSM3464438 GSM3464439 GSM3464440
GSM3464441 GSM3464442 GSM3464443 GSM3464444 GSM3464445 GSM3464446
High-Fat Diet; Male C57BL/6J mice
GSM3464447 GSM3464448 GSM3464449 GSM3464450 GSM3464451 GSM3464452
GSM3464453 GSM3464454 GSM3464455 GSM3464456 GSM3464457 GSM3464458
Description

Submission Date: Nov 08, 2018

Summary: Liver RNA-seq in lean or diet-induced obese mice administered with glucagon receptor blocking antibody

GEO Accession ID: GSE122348

PMID: 30582457

Description

Submission Date: Nov 08, 2018

Summary: Liver RNA-seq in lean or diet-induced obese mice administered with glucagon receptor blocking antibody

GEO Accession ID: GSE122348

PMID: 30582457

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.

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Perturbation Condition

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