Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples.
You can learn more about ARCHS4 and its pipeline here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
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| mice 20 weeks old |
GSM3061031 GSM3061032 GSM3061033
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GSM3061037 GSM3061038 GSM3061039
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GSM3061028 GSM3061029 GSM3061030
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GSM3061034 GSM3061035
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GSM3061036
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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
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
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
Differential expression signatures are automatically computed using the limma R package.
More options for differential expression are available to compute below.
Signatures:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
Differential expression signatures can be computed using DESeq2 or characteristic direction.
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.