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
White adipose tissue (epididymal fat)
GSM4931896 GSM4931897 GSM4931898 GSM4931899
GSM4931900 GSM4931901 GSM4931902 GSM4931903
Description

Submission Date: Nov 23, 2020

Summary: The goal of this study is to idenitfy the role of multi drug resistance-associated protein- 4 ( Mrp4), a drug transorter, in adipose tissue phyisiology and adipogenesis processes. In this study we aim to identify gene expression changes in adipose tissue that are altered due to lack of Mrp4 in mice. These gene expression changes observed will aid us in idenitifying the role of Mrp4 in adipose tissue physiology and its role in adipogenesis processes.

GEO Accession ID: GSE162037

PMID: 33417247

Description

Submission Date: Nov 23, 2020

Summary: The goal of this study is to idenitfy the role of multi drug resistance-associated protein- 4 ( Mrp4), a drug transorter, in adipose tissue phyisiology and adipogenesis processes. In this study we aim to identify gene expression changes in adipose tissue that are altered due to lack of Mrp4 in mice. These gene expression changes observed will aid us in idenitifying the role of Mrp4 in adipose tissue physiology and its role in adipogenesis processes.

GEO Accession ID: GSE162037

PMID: 33417247

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:

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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.