Similar Datasets
Project description:Metabolic reprogramming is emerging as a key pathological contributor to the progression of autosomal dominant polycystic kidney disease (ADPKD), but the molecular mechanisms underlying dysregulated cellular metabolism in cystic cells remain elusive. Super-enhancers (SEs) are large clusters of transcriptional enhancers that drive robust expression of cell identity and disease genes. Here, we establish a prominent role for SEs in regulating metabolic gene expression and ADPKD progression. Characterization of cis-acting SE landscapes in cystic renal epithelial cells reveals extensive remodeling of SEs during cystogenesis. Gene ontology analysis indicates that SE-associated transcripts in the metabolic pathway category are most significantly enriched in cystic cells. Cystic cells are highly sensitive to the inhibition of cyclin-dependent kinase 7 (CDK7), a critical component of the trans-acting SE complex. THZ1, a specific CDK7 inhibitor, exerts a potent anti-cystogenesis effect in ADPKD cells and mouse models. Integrative analyses of transcriptomics and SE profiling identify AMP deaminase 3 (AMPD3) as a SE-driven metabolic gene. Up-regulation of AMPD3 in cystic cells results in reduced AMP level and decreased AMPK activity, while inhibition of AMPD3 suppresses cyst development in a zebrafish ADPKD model. In a cohort of ADPKD patients, CDK7 expression is frequently elevated, and its expression is significantly correlated with AMPD3 expression and disease severity. Taken together, our findings elucidate a mechanism by which SE controls metabolic gene transcription during cystogenesis, and identifies SE-driven metabolic reprogramming as a promising therapeutic target for ADPKD treatment.
2020-05-16 | GSE141280 | GEO
Project description:Metabolic reprogramming is emerging as a key pathological contributor to the progression of autosomal dominant polycystic kidney disease (ADPKD), but the molecular mechanisms underlying dysregulated cellular metabolism in cystic cells remain elusive. Super-enhancers (SEs) are large clusters of transcriptional enhancers that drive robust expression of cell identity and disease genes. Here, we establish a prominent role for SEs in regulating metabolic gene expression and ADPKD progression. Characterization of cis-acting SE landscapes in cystic renal epithelial cells reveals extensive remodeling of SEs during cystogenesis. Gene ontology analysis indicates that SE-associated transcripts in the metabolic pathway category are most significantly enriched in cystic cells. Cystic cells are highly sensitive to the inhibition of cyclin-dependent kinase 7 (CDK7), a critical component of the trans-acting SE complex. THZ1, a specific CDK7 inhibitor, exerts a potent anti-cystogenesis effect in ADPKD cells and mouse models. Integrative analyses of transcriptomics and SE profiling identify AMP deaminase 3 (AMPD3) as a SE-driven metabolic gene. Up-regulation of AMPD3 in cystic cells results in reduced AMP level and decreased AMPK activity, while inhibition of AMPD3 suppresses cyst development in a zebrafish ADPKD model. In a cohort of ADPKD patients, CDK7 expression is frequently elevated, and its expression is significantly correlated with AMPD3 expression and disease severity. Taken together, our findings elucidate a mechanism by which SE controls metabolic gene transcription during cystogenesis, and identifies SE-driven metabolic reprogramming as a promising therapeutic target for ADPKD treatment.
2020-05-16 | GSE141279 | GEO
Project description:SE-driven metabolic reprogramming in ADPKD
| PRJNA592996 | ENA
Project description:Metabolic reprogramming is emerging as a key pathological contributor to the progression of autosomal dominant polycystic kidney disease (ADPKD), but the molecular mechanisms underlying dysregulated cellular metabolism in cystic cells remain elusive. Super-enhancers (SEs) are large clusters of transcriptional enhancers that drive robust expression of cell identity and disease genes. Here, we establish a prominent role for SEs in regulating metabolic gene expression and ADPKD progression. Characterization of cis-acting SE landscapes in cystic renal epithelial cells reveals extensive remodeling of SEs during cystogenesis. Gene ontology analysis indicates that SE-associated transcripts in the metabolic pathway category are most significantly enriched in cystic cells. Cystic cells are highly sensitive to the inhibition of cyclin-dependent kinase 7 (CDK7), a critical component of the trans-acting SE complex. THZ1, a specific CDK7 inhibitor, exerts a potent anti-cystogenesis effect in ADPKD cells and mouse models. Integrative analyses of transcriptomics and SE profiling identify AMP deaminase 3 (AMPD3) as a SE-driven metabolic gene. Up-regulation of AMPD3 in cystic cells results in reduced AMP level and decreased AMPK activity, while inhibition of AMPD3 suppresses cyst development in a zebrafish ADPKD model. In a cohort of ADPKD patients, CDK7 expression is frequently elevated, and its expression is significantly correlated with AMPD3 expression and disease severity. Taken together, our findings elucidate a mechanism by which SE controls metabolic gene transcription during cystogenesis, and identifies SE-driven metabolic reprogramming as a promising therapeutic target for ADPKD treatment.
2020-05-16 | GSE146714 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2016-08-04 | E-GEOD-74453 | biostudies-arrayexpress
Project description:SE-driven metabolic reprogramming in ADPKD (ChIP-Seq)
| PRJNA592998 | ENA
Project description:SE-driven metabolic reprogramming in ADPKD (RNA-Seq)
| PRJNA592997 | ENA
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2014-05-31 | E-GEOD-57605 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2012-12-01 | E-GEOD-41617 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below.
2019-08-06 | GSE110456 | GEO