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
GSM4487137 GSM4487138 GSM4487139
GSM4487140 GSM4487141 GSM4487142
GSM4487143 GSM4487144 GSM4487145
Description

Submission Date: Apr 21, 2020

Summary: Administration of FGF19 - a physiological regulator of bile acid homeostasis - to diabetic and diet-induced-obese mice can suppress plasma glucose concentration and improve insulin sensitivity. Repurposing FGF19 as a therapeutic agent for treating type 2 diabetes and cholestatic liver disease is therefore of significant interest. However, the tumorigenic risk associated with prolonged FGF19 administration is a major hurdle in realizing its full clinical potential. Here we show that non-mitogenic FGF19 variants that retain full beneficial glucose-lowering activity of wild-type FGF19 (FGF19WT) can be engineered by diminishing FGF19's ability to induce dimerization of its cognate FGF receptors (FGFR). As proof-of-principle, we generated three such mutants, each with a partial defect in binding affinity to FGFR (FGF19ΔFGFR), and its co-receptors klotho (FGF19ΔKLB) or heparan sulfate (FGF19ΔHBS). Pharmacological assays in healthy and db/db mice confirmed that these variants incur a dramatic loss in mitogenic activity, yet are indistinguishable from FGF19WT in eliciting glycemic control. Our approach provides a simple framework for the development of safer and efficacious FGF19 analogs.

GEO Accession ID: GSE148997

PMID: 33144503

Description

Submission Date: Apr 21, 2020

Summary: Administration of FGF19 - a physiological regulator of bile acid homeostasis - to diabetic and diet-induced-obese mice can suppress plasma glucose concentration and improve insulin sensitivity. Repurposing FGF19 as a therapeutic agent for treating type 2 diabetes and cholestatic liver disease is therefore of significant interest. However, the tumorigenic risk associated with prolonged FGF19 administration is a major hurdle in realizing its full clinical potential. Here we show that non-mitogenic FGF19 variants that retain full beneficial glucose-lowering activity of wild-type FGF19 (FGF19WT) can be engineered by diminishing FGF19's ability to induce dimerization of its cognate FGF receptors (FGFR). As proof-of-principle, we generated three such mutants, each with a partial defect in binding affinity to FGFR (FGF19ΔFGFR), and its co-receptors klotho (FGF19ΔKLB) or heparan sulfate (FGF19ΔHBS). Pharmacological assays in healthy and db/db mice confirmed that these variants incur a dramatic loss in mitogenic activity, yet are indistinguishable from FGF19WT in eliciting glycemic control. Our approach provides a simple framework for the development of safer and efficacious FGF19 analogs.

GEO Accession ID: GSE148997

PMID: 33144503

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.