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 |
|---|---|---|
| Brown Adipose Tissue |
GSM4072018 GSM4072019 GSM4072020 GSM4072021
|
|
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GSM4072022 GSM4072023 GSM4072024 GSM4072025
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Submission Date: Sep 09, 2019
Summary: We evaluated the effects of NAMPT (nicotinamide phosphoribosyltransferase) knockout on transcriptome in brown adipose tissue (BAT) by analyzing BAT obtained from control (Nampt-flox/flox, F1-F4) and adipocyte-specific Nampt knockout (ANKO, A1-A4) mice.
GEO Accession ID: GSE137149
PMID: 31694884
Submission Date: Sep 09, 2019
Summary: We evaluated the effects of NAMPT (nicotinamide phosphoribosyltransferase) knockout on transcriptome in brown adipose tissue (BAT) by analyzing BAT obtained from control (Nampt-flox/flox, F1-F4) and adipocyte-specific Nampt knockout (ANKO, A1-A4) mice.
GEO Accession ID: GSE137149
PMID: 31694884
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:
No precomputed signatures are currently available for this study. You can compute differential gene expression on the fly below:
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.