Dataset Information

Transcriptomic data of whole liver from Alk1-(alias Acvrl1) knockout mice I

ABSTRACT: Hereditary hemorrhagic telangiectasia (HHT, alias Rendu-Osler-Weber syndrome) is an autosomal dominant genetic disease that causes vascular malformations in multiple organs. Malformations and shunts in the liver are relevant for the long-term prognosis as they can lead to heart failure. Moreover, the role of ALK-1 in the hepatic vascular niche remains elusive. In this project, we aimed to establish a novel HHT model covering hepatic involvement by the disease and to investigate the role of ALK-1 in the hepatic vascular niche. We crossed Stab2-icre mice (MGI: 6741034) with Acvrl1-floxed mice (MGI: 4398901) to generate constitutive hepatic endothelial Acvrl1 knockout (Acvrl1-HEC-KO, alias Alk1-HEC-KO) mice. To dissect hepatic transcriptomic alterations, we performed RNA sequencing of freshly isolated whole liver cells from 3 months old mice. Transcriptomic analyses revealed an arterialization of hepatic vessels accompanied by loss of LYVE-1 and induction of Endomucin. The loss of endothelial Wnt2, Wnt9b, and Rspo3 led to a disruption of hepatic metabolic zonation with a dominance of periportal genes in Alk1-HEC-KO mice and HHT patients. Furthermore, we identified PRND (alias Doppel) and placenta growth factor (PlGF) as novel candidates of HHT pathogenesis in mice. ALK-1 controls hepatic metabolic zonation via Wnt signaling and suppresses PRND and PlGF that represent novel candidates in HHT pathogenesis.

ORGANISM(S): Mus musculus

PROVIDER: GSE184746 | GEO | 2023/04/06

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Purpose: Hereditary Hemorrhagic Telangiectasia (HHT) is an autosomal dominant vascular disorder characterized by arteriovenous malformations (AVMs). Over 90% of HHT patients carry heterozygous loss-of-function mutations in Transforming Growth Factor-beta (TGFb) signaling components activin receptor-like kinase 1 (ACVRL1/ALK1), endoglin (ENG), or mothers against decapentaplegic homolog 4 (SMAD4). Brain AVMs can be lethal for HHT patients. Here, we use an inducible endothelial (EC)-specific mouse line to investigate brain AVMs characteristics in Alk1-, Eng-, and Smad4-HHT mouse models. Angiopientin-2 (Ang2) inhibition diminishes HHT associated cerebral vascular defects. We aim to identify the shared transcriptional changes in brain ECs between these three HHT types, and provide insights for transcriptional changes upon Ang2 inhibition. Methods: ECs were isolated from brains of both WT and HHT mutant mice at postnatal day 7 (P7) for Smad4 and Eng models, P6 for Alk1 model. Total RNA was extracted from isolated brain ECs and quantified using Qubit RNA High Sensitivity Assay Kit. RNA integrity was determined using the Bioanalyzer RNA 6000 Nano assay kit. RNA library construction was performed with the TruSeq RNA Library Prep Kit v2 from Illumina. The resulting mRNA library was quantified using Qubit dsDNA High Sensitivity Assay Kit and verified using the Bioanalyzer DNA1000 assay kit. Verified samples were sequenced using the NextSeq 500/550 High Output Kit v2.5 (150 Cycles) on a Nextseq 550 system. Sequenced reads were aligned to the mouse (mm10) reference genome with RNA-seq alignment tool (version 2.0.1). The aligned reads were used to quantify mRNA expression and determine differentially expressed genes using the RNA-seq Differential Expression tool (version 1.0.1). Both alignment and differential expression analysis were performed using the tools in the BaseSpace Sequence Hub. Results: We identified 5509, 5381, and 2663 differentially expressed genes in Smad4, Alk1, and Eng HHT models respectively. Also, Ang2 inhibition mainly funcioned through angiogenesis and cell migration processes to normalize cerebrovascular defects in Smad4-HHT model. Conclusions: A common but unique pro-angiogenic program among all HHT models included 14 consistent upregulated and 5 consistent downregulated angiogic genes. Also, Ang2 inhibition mainly funcioned through angiogenesis and cell migration processes to normalize cerebrovascular defects in Smad4-HHT model.

Project description:Hereditary Haemorrhagic Telangiectasia (HHT) is an autosomal dominantly inherited vascular disease characterized by the presence of mucocutaneous telangiectasia and arteriovenous malformations in visceral organs. HHT is predominantly caused by mutations in ENG and ACVRL1, Which both belong to the TGF-M-NM-2 signalling pathway. Further knowledge on how a disturbance of the TGF-M-NM-2 signalling pathway leads to HHT manifestations is needed in order to identify potential therapeutic targets. As long non-coding RNAs (lncRNAs) are increasingly recognized as key regulators of gene expression and constitute a sizable fraction of the human transcriptome, we wanted to assess whether lncRNAs play a role in the molecular pathogenesis of HHT. Here we used microarray analysis to profile lncRNAs to compare the expression of HHT telangiectasial and HHT non-telangiectasial nasal tissue from the same patient in a paired design. The microarray probes were re-annotated using the GENCODE v.16 dataset, identifying 4,810 probes mapping to 2,811 lncRNAs. By comparing HHT telangiectasial tissue versus HHT non-telangiectasial tissue, we identified 42 lncRNAs that are differentially expressed (q<0.001). Using GREAT, a tool that assumes cis-regulation, we showed that differently expressed lncRNAs are enriched for genomic loci involved in key pathways concerning HHT. Our study identified lncRNAs that are aberrantly expressed in HHT telangiectasia and indicates that lncRNAs may contribute to regulate protein-coding loci in HHT. Which suggest that the lncRNA component of the transcriptome deserves more attention in HHT. A deeper understanding of lncRNAs and their role in telangiectasia formation possesses potential for discovering therapeutic targets in HHT. Gene expression profiling of 80 paired nasal samples from patients with hereditary Haemorrhagic Telangiectasia (HHT), representing telangiectasial and non-telangiectasial (normal) tissue respectively. The patients were divided into HHT1 or HHT2 in regard to the germline mutation in ENG (HHT1) or ACVRL1 (HHT2). Additional controls were healthy siblings (not carrying the germline mutation) and external controls. The study was conducted using Agilent-028004 SurePrint G3 Human GE 8x60K Microarray platform.

Dataset Information

Transcriptomic data of whole liver from Alk1-(alias Acvrl1) knockout mice I

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure