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
GSM2906486 GSM2906487 GSM2906488
GSM2906489 GSM2906490 GSM2906491
Description

Submission Date: Dec 28, 2017

Summary: Hepatic lipogenesis is a central aspect of the feeding response and is aberrantly induced in the progression of fatty liver disease. Liver X receptors (LXRs) and sterol regulatory element-binding protein 1c (SREBP1c) are potent activators of the lipogenic gene program that promote triglyceride synthesis and hepatic steatosis in the insulin-resistant state. To date, key protein components of the LXR-SREBP1c axis have been uncovered that mediate transcriptional activation of SREBP1c by LXRs and nutrient and hormonal regulation. However, whether this regulatory pathway interfaces with long noncoding RNAs (lncRNAs) remains largely unexplored. Here we show that hepatic expression of Blnc1, a regulator of brown adipocyte development, is strongly associated with adiposity and liver fat content in mice. Blnc1 is required for the induction of SREBP1c and hepatic lipogenic genes in response to LXR activation. CRISPR/Cas9-mediated liver-specific inactivation of Blnc1 abrogates high fat diet-induced hepatic steatosis and insulin resistance. We further observed that liver Blnc1 expression is elevated in a mouse model of nonalcoholic steatohepatitis (NASH). Mice lacking Blnc1 in the liver are protected from diet-induced NASH and exhibit attenuated liver injury, inflammation and liver fibrosis. At the molecular level, proteomic analysis of the Blnc1 ribonucleoprotein complex in the liver identified endothelial differentiation related factor 1 (EDF1) as a component of the LXR transcriptional complex that acts in concert with Blnc1 to stimulate SREBP1c expression. These findings uncover a lncRNA ribonucleoprotein complex that licenses obesity-linked activation of hepatic lipogenesis and NAFLD pathogenesis.

GEO Accession ID: GSE108609

PMID: 30061575

Description

Submission Date: Dec 28, 2017

Summary: Hepatic lipogenesis is a central aspect of the feeding response and is aberrantly induced in the progression of fatty liver disease. Liver X receptors (LXRs) and sterol regulatory element-binding protein 1c (SREBP1c) are potent activators of the lipogenic gene program that promote triglyceride synthesis and hepatic steatosis in the insulin-resistant state. To date, key protein components of the LXR-SREBP1c axis have been uncovered that mediate transcriptional activation of SREBP1c by LXRs and nutrient and hormonal regulation. However, whether this regulatory pathway interfaces with long noncoding RNAs (lncRNAs) remains largely unexplored. Here we show that hepatic expression of Blnc1, a regulator of brown adipocyte development, is strongly associated with adiposity and liver fat content in mice. Blnc1 is required for the induction of SREBP1c and hepatic lipogenic genes in response to LXR activation. CRISPR/Cas9-mediated liver-specific inactivation of Blnc1 abrogates high fat diet-induced hepatic steatosis and insulin resistance. We further observed that liver Blnc1 expression is elevated in a mouse model of nonalcoholic steatohepatitis (NASH). Mice lacking Blnc1 in the liver are protected from diet-induced NASH and exhibit attenuated liver injury, inflammation and liver fibrosis. At the molecular level, proteomic analysis of the Blnc1 ribonucleoprotein complex in the liver identified endothelial differentiation related factor 1 (EDF1) as a component of the LXR transcriptional complex that acts in concert with Blnc1 to stimulate SREBP1c expression. These findings uncover a lncRNA ribonucleoprotein complex that licenses obesity-linked activation of hepatic lipogenesis and NAFLD pathogenesis.

GEO Accession ID: GSE108609

PMID: 30061575

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.

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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.