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 |
|---|---|---|
| Liver |
GSM4010333 GSM4010334 GSM4010335 GSM4010336 GSM4010337 GSM4010338 GSM4010339 GSM4010340 GSM4010341
|
|
|
GSM4010342 GSM4010343 GSM4010344 GSM4010345 GSM4010346 GSM4010347 GSM4010348 GSM4010349 GSM4010350 GSM4010351
|
Submission Date: Aug 06, 2019
Summary: Non-alcoholic fatty liver disease (NAFLD) is becoming increasingly prevalent and nutrition intervention remains the most important therapeutic approach for NAFLD. Our aim was to investigate whether low- (LP) or high-protein (HP) diets are more effective in reducing liver fat and reversing NAFLD. Here RNA-seq analysis was used to analyse which metabolic pathways that were altered on the LP and HP diets.
GEO Accession ID: GSE135448
PMID: 32652799
Submission Date: Aug 06, 2019
Summary: Non-alcoholic fatty liver disease (NAFLD) is becoming increasingly prevalent and nutrition intervention remains the most important therapeutic approach for NAFLD. Our aim was to investigate whether low- (LP) or high-protein (HP) diets are more effective in reducing liver fat and reversing NAFLD. Here RNA-seq analysis was used to analyse which metabolic pathways that were altered on the LP and HP diets.
GEO Accession ID: GSE135448
PMID: 32652799
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.