GSE110528: Effect of LXR agonist T0901317 on the intestinal transcriptome in mice.

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
Duodenum
GSM2995269 GSM2995270 GSM2995271
GSM2995265 GSM2995266 GSM2995267 GSM2995268
Description

Submission Date: Feb 13, 2018

Summary: Mice were treated for three days by oral gavage with the synthetic LXR ligand T0901317 (Cayman chemical, USA) using a dose of 50 mg/kg/day in vehicle (0.5% Carboxy-methylcellulose; 400 cPs (Sigma-Aldrich, USA); 0.2% Tween80 (Sigma-Aldrich, USA)) or solely the vehicle (control group). Mice were anesthetized with isoflurane and euthanized by cardiac puncture followed by cervical dislocation. Intestines were flushed with ice cold PBS and frozen in liquid nitrogen.

GEO Accession ID: GSE110528

PMID: No Pubmed ID

Description

Submission Date: Feb 13, 2018

Summary: Mice were treated for three days by oral gavage with the synthetic LXR ligand T0901317 (Cayman chemical, USA) using a dose of 50 mg/kg/day in vehicle (0.5% Carboxy-methylcellulose; 400 cPs (Sigma-Aldrich, USA); 0.2% Tween80 (Sigma-Aldrich, USA)) or solely the vehicle (control group). Mice were anesthetized with isoflurane and euthanized by cardiac puncture followed by cervical dislocation. Intestines were flushed with ice cold PBS and frozen in liquid nitrogen.

GEO Accession ID: GSE110528

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.

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.