ArticleJournal of molecular and cellular cardiology plus2025
Combined genome and transcriptome analysis identifies molecular signatures of aortic disease in patients with Marfan syndrome.
Article in Journal of molecular and cellular cardiology plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Transcriptional dysregulation in patients with Marfan syndrome (MFS) is complex and not well-defined. There are likely patient-specific and general mechanisms in the aortic pathology. In this study, we combine genome and transcriptome data from patients with MFS to determine the transcriptional impacts of disease-causing variants in Methods: Prospectively enrolled participants provided blood and aortic tissue samples. Smooth muscle cells (SMCs) were cultured directly from the proximal aortic tissues of MFS cases undergoing aortic root replacement and controls during heart transplant. Genome sequencing (GS) analysis was combined with mRNA-sequencing (mRNA-seq) and single-cell gene expression profiling of SMCs. Findings in SMC culture analysis were further investigated in primary frozen aortic tissues. Results: Automatic annotation of single-cell expression profiles classified 99% of cultured cells as SMCs. All disease-causing Conclusions: mRNA-seq analysis of SMCs accurately identified
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