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Epigenetic Atlas of Bladder Cancer Reveals Master Transcription Factors and Risk-Associated Regulatory Elements in Luminal and Basal-Squamous Molecular Subtypes

ABSTRACT: We performed histone ChIP-seq, the Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq), and RNA sequencing (RNA-seq) on 28 fresh frozen bladder/upper tract tumor samples. We integrated 64 unique data sets to gain a holistic view of gene regulation in bladder cancer expression/molecular subtypes and nominated candidate subtype-specific master transcription factors (TF) driving expression differences. We also integrated bladder GWAS risk SNPs with H3K27ac ChIP-seq and ATAC-seq data and revealed that risk variants were significantly enriched in genetically determined peaks

ORGANISM(S): Homo sapiens

PROVIDER: GSE302930 | GEO | 2026/02/16

REPOSITORIES: GEO

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Project description:BACKGROUND: Single ventricle congenital heart disease (SVCHD) is a severe form of cardiac malformation in which there is only one functional ventricle. The Fontan operation is the current standard of care for SVCHD. Almost all patients who have undergone the Fontan operation develop liver fibrosis at a young age, resulting in a condition known as Fontan-associated liver disease (FALD). The pathogenesis and mechanisms underlying FALD remain little understood, hindering development of effective therapies.OBJECTIVES: We aimed to present a comprehensive multiomic analysis of human FALD, thereby revealing the fundamental biology and pathogenesis of FALD. METHODS: We recently generated a single-cell transcriptomic and epigenomic atlas of human FALD using snRNA-ATAC-seq, which revealed profound metabolic reprogramming in FALD. Here we applied liquid chromatography-mass spectrometry (LC-MS) based untargeted metabolomics to unveil the metabolomic landscape of human FALD, using liver samples/biopsies from age and gender-matched healthy donors and FALD patients (n=12 per group). Extracted liver metabolites were analyzed by C18 high performance liquid chromatography (HPLC) and hydrophilic interaction chromatography (HILIC) followed by high resolution MS on Orbitrap. Statistical and bioinformatics analyses were performed to identify altered metabolites and metabolic pathways in FALD. These results were integrated with recently published snRNA-ATAC-seq and serum metabolomics datasets to present a comprehensive multiomic atlas of FALD. RESULTS: We discovered profound metabolic abnormalities in livers of patients with early-stage FALD, particularly amino acid metabolism, peroxisomal fatty acid oxidation, cytochrome P450 system, glycolysis, TCA cycle, ketone body metabolism and bile acids metabolism. Integrated analyses with liver snRNA-ATAC-seq and serum metabolomics data unveiled the transcriptional mechanisms driving this metabolic reprogramming and the crosstalk between liver and the rest of the body. Comparison with human metabolic dysfunction-associated fatty liver disease (MAFLD) and metabolic dysfunction-associated steatohepatitis (MASH) revealed dysregulated amino acid metabolism as a common metabolic abnormality. CONCLUSIONS: Our comprehensive multiomic atlas of human FALD reveals the fundamental biology and pathogenesis mechanisms of FALD.

Project description:Diabetic retinopathy (DR), the leading cause of blindness in working-age adults, is thought to be primarily a microvascular complication of diabetes. As a central element of the retinal neurovascular unit, Müller cells, the major macroglia of the retina, are important for maintaining a healthy and functional retina and play a critical role in several pathological events during DR disease progression. Here, we aim to improve our understanding of Müller cell-specific signalling pathways that are altered during DR disease progression in order to develop novel gene therapy strategies that target Müller cells. We used a multi-omics approach on purified Müller cells from 6-month-old control and diabetic db/db mice, including (i) RNA-seq followed by oPOSSUM-3 transcription factor (TF) binding site cluster analysis, (ii) glial chromatin landscape analysis by ATAC-seq, and (iii) Müller cell proteomics by MS/MS mass spectrometry. This led to the identification of the glucocorticoid receptor (GR, gene ID: Nr3c1) most highly expressed in Müller cells. In cells from diabetic mice, GR mRNA and protein expression is significantly reduced and its target gene cluster downregulated in Müller cells. Importantly, GR was identified as a potential master regulator not only by oPOSSUM analysis based on differentially expressed mRNA in Müller cells, but also validated by the ATAC-seq approach. In an in vitro cortisol-stimulated retinal explant model cortisol not only increased GR phosphorylation, but also induced changes in the expression of known downstream GR target genes. Finally, we evaluated whether AAV-mediated GR overexpression in Müller cells improves retinal functionality and we found moderate improvements indicated by electroretinography. While synthetic and topical glucocorticoids are widely used in ophthalmology with undeniable beneficial effects, our study provides valuable new insight into the role of GR signalling and glial alterations in the diabetic retina. This supports the therapeutic concept of locally enhancing the GR signaling axis. Our findings of reduced GR levels in Müller cells of the diabetic retina suggests that therapeutic approaches should aim at increasing the expression of the receptor rather than adding more ligand.

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Epigenetic Atlas of Bladder Cancer Reveals Master Transcription Factors and Risk-Associated Regulatory Elements in Luminal and Basal-Squamous Molecular Subtypes

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