2022
DOI: 10.1101/2022.07.01.22277112
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Functional analysis across model systems implicates ribosomal proteins in growth and proliferation defects associated with hypoplastic left heart syndrome

Abstract: Hypoplastic left heart syndrome (HLHS) is the most lethal congenital heart disease (CHD). The pathogenesis of HLHS is poorly understood and due to the likely oligogenic complexity of the disease, definitive HLHS-causing genes have not yet been identified. Postulating that impaired cardiomyocyte proliferation as a likely important contributing mechanism to HLHS pathogenesis, and we conducted a genome-wide siRNA screen to identify genes affecting proliferation of human iPSC-derived cardiomyocytes (hPSC-CMs). Thi… Show more

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Cited by 2 publications
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“…To address some of these modeling requirements, we have assembled ( Schuttler et al, 2020 ) a new phenotypic platform that enables rapid evaluation of the effects of gene function on the regulation of APD and rhythm in model systems, providing (1) a human and atrial context (ACM model), and (2) an intact, functionally mature and aging heart (fly model). Because both ACM and fly systems have genome-wide screening capacity ( Neely et al, 2010 ; Nielsen et al, 2022 preprint), they unlock the exploratory power of functional genomics that is needed for the unbiased identification of novel genes and pathways controlling cardiac rhythm beyond those identified in GWAS. A remarkable feature of the ACM platform is the ability to assess APD and rhythm parameters at single-cell resolution, which enables (1) the development of co-culture conditions mimicking aspects of known AF-associated risk factors, such as fibrosis, and (2) the quantification of the heterogeneity in cellular responses to environmental perturbations.…”
Section: Discussionmentioning
confidence: 99%
“…To address some of these modeling requirements, we have assembled ( Schuttler et al, 2020 ) a new phenotypic platform that enables rapid evaluation of the effects of gene function on the regulation of APD and rhythm in model systems, providing (1) a human and atrial context (ACM model), and (2) an intact, functionally mature and aging heart (fly model). Because both ACM and fly systems have genome-wide screening capacity ( Neely et al, 2010 ; Nielsen et al, 2022 preprint), they unlock the exploratory power of functional genomics that is needed for the unbiased identification of novel genes and pathways controlling cardiac rhythm beyond those identified in GWAS. A remarkable feature of the ACM platform is the ability to assess APD and rhythm parameters at single-cell resolution, which enables (1) the development of co-culture conditions mimicking aspects of known AF-associated risk factors, such as fibrosis, and (2) the quantification of the heterogeneity in cellular responses to environmental perturbations.…”
Section: Discussionmentioning
confidence: 99%
“…To address some of these modeling requirements, we have assembled (Schuttler et al, 2020) a new phenotypic platform that enables rapid evaluation of gene function on the regulation of APD and rhythm in model systems providing 1) a human and atrial context (ACM model), and 2) an intact, functionally mature and aging heart (fly model). Because both ACM and fly systems have genome-wide screening capacity (Neely et al, 2010;Nielsen et al, 2022), they unlock the exploratory power of functional genomics that is needed for the unbiased identification of novel genes and pathways controlling cardiac rhythm beyond those identified in GWAS studies. A remarkable feature of the ACM platform is the ability to assess APD and rhythm parameters with single cell resolution, which enables 1) the development of co-culture conditions mimicking aspects of known AF-associated risk factors such as fibrosis and 2) the quantification of the heterogeneity in cellular responses to environmental perturbations.…”
Section: ) Multi-system Platform To Model Afmentioning
confidence: 99%