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.
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GROUP CONDITION SAMPLES
Liver
GSM4010333 GSM4010334 GSM4010335 GSM4010336 GSM4010337 GSM4010338 GSM4010339 GSM4010340 GSM4010341
GSM4010342 GSM4010343 GSM4010344 GSM4010345 GSM4010346 GSM4010347 GSM4010348 GSM4010349 GSM4010350 GSM4010351
Description

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

Description

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

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:

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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.
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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.