GSE162265: RNA sequencing of human primary myotubes from lean and obese subjects

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
Primary myotube
GSM4948156 GSM4948157 GSM4948158
GSM4948159 GSM4948160 GSM4948161
Description

Submission Date: Nov 27, 2020

Summary: Fasting muscle biopsy samples from the vastus lateralis were collected from lean (LN: BMI < 25 kg/m2) and obese (OB: BMI > 40 kg/m2) subjects. Primary myoblasts were isolated from the biopsy samples, maintained in vitro, and differentiated to myotubes.

GEO Accession ID: GSE162265

PMID: 25970801

Description

Submission Date: Nov 27, 2020

Summary: Fasting muscle biopsy samples from the vastus lateralis were collected from lean (LN: BMI < 25 kg/m2) and obese (OB: BMI > 40 kg/m2) subjects. Primary myoblasts were isolated from the biopsy samples, maintained in vitro, and differentiated to myotubes.

GEO Accession ID: GSE162265

PMID: 25970801

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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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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.