GSE112213: Next Generation Sequencing of LdlrKO LXRα-phosphorylation disrupted macrophage transcriptomes

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
mice 20 weeks old
GSM3061036
GSM3061031 GSM3061032 GSM3061033
GSM3061034 GSM3061035
GSM3061028 GSM3061029 GSM3061030
GSM3061037 GSM3061038 GSM3061039
Description

Submission Date: Mar 22, 2018

Summary: Liver X Receptors (LXRα and β) are ligand-activated transcription factors that play a key role in the control of lipid homeostasis, as well as modulation of immunity and inflammation. Besides ligand binding, LXR activity can be regulated by posttranslational modifications, such as phosphorylation. This study aims to assess changes in bone marrow derived macrophage transcriptional profiles of mice that carry LysMcre directed phosphorylation deficient-version of LXRα compared (S196A) to wild-type (WT).

GEO Accession ID: GSE112213

PMID: 29950315

Description

Submission Date: Mar 22, 2018

Summary: Liver X Receptors (LXRα and β) are ligand-activated transcription factors that play a key role in the control of lipid homeostasis, as well as modulation of immunity and inflammation. Besides ligand binding, LXR activity can be regulated by posttranslational modifications, such as phosphorylation. This study aims to assess changes in bone marrow derived macrophage transcriptional profiles of mice that carry LysMcre directed phosphorylation deficient-version of LXRα compared (S196A) to wild-type (WT).

GEO Accession ID: GSE112213

PMID: 29950315

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.