GSE213110: Skeletal muscle of aged mice, and aged treated with myriocin

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
Skeletal muscle
GSM6572802 GSM6572803 GSM6572804 GSM6572805 GSM6572806 GSM6572807
GSM6572797 GSM6572798 GSM6572799 GSM6572800 GSM6572801
Description

Submission Date: Sep 11, 2022

Summary: To investigate the effect of intraperitoneal myriocin treament on skeletal muscle gene expression in aged mice.

GEO Accession ID: GSE213110

PMID: No Pubmed ID

Description

Submission Date: Sep 11, 2022

Summary: To investigate the effect of intraperitoneal myriocin treament on skeletal muscle gene expression in aged mice.

GEO Accession ID: GSE213110

PMID: No Pubmed ID

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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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.