Systems analysis of de novo mutations in congenital heart diseases identified a protein network in the hypoplastic left heart syndrome
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PROVIDER: PRJNA811608 | ENA |
REPOSITORIES: ENA
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Project description:Congenital heart diseases (CHD) are a class of birth defects affecting ~1% of live births. These conditions are hallmarked by extreme genetic heterogeneity, and therefore, despite a strong genetic component, only a very handful of at-risk loci in CHD have been identified. We herein introduced systems analyses to uncover the hidden organization on biological networks of genomic mutations in CHD, and leveraged network analysis techniques to integrate the human interactome, large-scale patient exomes, the fetal heart spatial transcriptomes, and single-cell transcriptomes of clinical samples. We identified a highly connected network in CHD where most of the member proteins had previously uncharacterized functions in regulating fetal heart development. While genes on the network displayed strong enrichment for heart-specific functions, a sub-group, active specifically at early developmental stages, also regulates fetal brain development, thereby providing mechanistic insights into the clinical comorbidities between CHD and neurodevelopmental conditions. At a small scale, we experimentally verified previously uncharacterized cardiac functions of several novel proteins employing cellular assays and gene editing techniques. At a global scale, our study revealed developmental dynamics of the identified CHD network and observed the strongest enrichment for pathogenic mutations in the network specific to hypoplastic left heart syndrome (HLHS). Our single-cell transcriptome analysis further identified pervasive dysregulation of the network in cardiac endothelial cells and the conduction system in the HLHS left ventricle. Taken together, our systems analyses identified novel factors in CHD, revealed key molecular mechanisms in HLHS, and provides a generalizable framework readily applicable to studying many other complex diseases.
2022-09-26 | GSE197709 | GEO
Project description:Single cell transcriptome analysis was performed on one Hypoplastic Left Heart Synrome (HLHS) cell line and one control cell line.
2020-03-11 | GSE146763 | GEO
Project description:Hypoplastic left heart syndrome (HLHS) is a heterogeneous, lethal combination of congenital malformations that result in a heart unable to sustain systemic circulation. The genetic determinants of this disorder are largely unknown. Evidence of copy number variants (CNVs) contributing to the genetic etiology of HLHS and other congenital heart defects (CHDs) has been mounting. However, the functional effects of such CNVs have not been examined, particularly in cases where the variant of interest is found in only a single patient. Initially whole-genome SNP microarrays were employed to detect CNVs in two patient cohorts (N = 70 total) predominantly diagnosed with some form of nonsyndromic HLHS. We discovered 16 rare variants adjacent to or overlapping 20 genes associated with cardiovascular or premature lethality phenotypes in mouse knockout models. Fifteen of the 16 variants were identified in separate patients, suggestive of a private mutation model of disease. We evaluated the impact of selected variants on the expression of nine of these genes through quantitative PCR on cDNA derived from patient heart tissue. Four genes displayed significantly altered expression in patients with an overlapping or proximal CNV verses patients without such CNVs. Thus, rare and private genomic imbalances perturb transcription of genes affecting cardiogenesis in a subset of nonsyndromic HLHS patients. Some of these genes influence extracellular matrix structure, cardiac neural crest development, and coronary vascularization. A total of 70 samples from CHD patients, mostly with nonsyndromic HLHS, yielded SNP genotypes and probe intensity ratios of sufficient quality for CNV identification. Two classes of CNV detection algorithms (HMM and CBS) were employed. After identification, concordant entries were subjected to selection criteria based on rarity and gene content, which produced putative candidate genes for follow-up experiments.
2015-12-10 | E-GEOD-66032 | biostudies-arrayexpress
Project description:Complex molecular programs in specific cell lineages govern human heart development. Hypoplastic left heart syndrome (HLHS) is the most severe congenital heart defect encompassing a spectrum of left-ventricular hypoplasia occurring in association with outflow-tract obstruction. The current clinical paradigm assumes HLHS is largely of hemodynamic origin. Here, by combining whole-exome sequencing of 87 HLHS parent-offspring trios and transcriptome of cardiomycytes (CMs) from healthy and patient native ventricles at different stages of development we identified perturbations in coherent gene programs controlling ventricular muscle lineage development. Single-cell and 3D molecular/functional modeling with iPSCs demonstrated intrinsic defects in the cell-cycle/ciliogenesis/autophagy hub resulting in disrupted differentiation of early cardiac progenitor (CP) lineages and ultimate defective CM-subtype differentiation/maturation in HLHS. Moreover, premature cellcycle exit of ventricular CM prevents tissue response to cues of developmental growth leading to multinucleation/polyploidy, accumulation of DNA damage, exacerbated apoptosis, and eventually ventricle hypoplasia. Our results highlight how genetic heterogeneity in HLHS converges in perturbations of sequential cellular processes driving cardiogenesis and facilitate potential novel nodes for therapy beside surgical intervention.
2022-02-15 | PXD014812 | Pride
Project description:The complex genetics of hypoplastic left heart syndrome
| PRJNA311577 | ENA
Project description:Genetic Etiology of Hypoplastic Left Heart Syndrome (HLHS)
| PRJNA356955 | ENA
Project description:Hypoplastic Left Heart Syndrome Single Cell RNA Sequencing
| PRJNA611831 | ENA
Project description:Hypoplastic left heart syndrome (HLHS) is a heterogeneous, lethal combination of congenital malformations that result in a heart unable to sustain systemic circulation. The genetic determinants of this disorder are largely unknown. Evidence of copy number variants (CNVs) contributing to the genetic etiology of HLHS and other congenital heart defects (CHDs) has been mounting. However, the functional effects of such CNVs have not been examined, particularly in cases where the variant of interest is found in only a single patient. Initially whole-genome SNP microarrays were employed to detect CNVs in two patient cohorts (N = 70 total) predominantly diagnosed with some form of nonsyndromic HLHS. We discovered 16 rare variants adjacent to or overlapping 20 genes associated with cardiovascular or premature lethality phenotypes in mouse knockout models. Fifteen of the 16 variants were identified in separate patients, suggestive of a private mutation model of disease. We evaluated the impact of selected variants on the expression of nine of these genes through quantitative PCR on cDNA derived from patient heart tissue. Four genes displayed significantly altered expression in patients with an overlapping or proximal CNV verses patients without such CNVs. Thus, rare and private genomic imbalances perturb transcription of genes affecting cardiogenesis in a subset of nonsyndromic HLHS patients. Some of these genes influence extracellular matrix structure, cardiac neural crest development, and coronary vascularization.
2015-12-10 | GSE66032 | GEO
Project description:Congenital heart disease (CHD) is a prevalent birth defect affecting up to 1% of live births. While a genetic etiology is indicated by increased recurrence risk and association with chromosomal abnormalities, the genetics of CHD is poorly understood and likely complex. Here we show hypoplastic left heart syndrome (HLHS), a severe CHD with high morbidity/mortality, has a multigenic etiology. Analysis of 8 HLHS mutant mouse lines recovered from a large-scale mutagenesis screen showed no mutations are shared in common. In the *Ohia* mouse line, mutations in 2 genes, *Pcdha9*/*Sap130*, act synergistically to cause HLHS. Cardiomyocyte proliferation and differentiation defects likely act in concert with valve abnormalities to cause HLHS. Network analysis of mutations recovered in HLHS mice and 68 HLHS patients point to Notch signaling disruption, a pathway previously implicated in HLHS. These findings demonstrate large-scale mutagenesis is an effective systems approach for interrogating the complex genetics of human diseases. SUBMITTER_CITATION: Journal: Nature Genetics Title: The complex genetics of hypoplastic left heart syndrome Author names: Xiaoqin Liu1, Hisato Yagi1, Shazina Saeed1, Abha S. Bais1, George C. Gabriel1, Zhaohan Chen1, Kevin A. Peterson4, You Li1, Molly C. Schwartz1, William T. Reynolds1, Manush Saydmohammed1, Brian Gibbs1, Yijen Wu1, William Devine1, Bishwanath Chatterjee1, Nikolai T. Klena1, Dennis Kostka1, Karen L. de Mesy Bentley5, Madhavi K.Ganapathiraju2, Phillip Dexheimer11, Linda Leatherbury7, Omar Khalifa1, Anchit Bhagat1, Maliha Zahid1, William Pu8, Simon Watkins3, Paul Grossfeld9, Stephen Murray4, George A. Porter, Jr.6, Michael Tsang1, Lisa J.Martin10, D.Woodrow.Benson12, Bruce J. Aronow11, Cecilia W. Lo1
2017-04-13 | GSE77799 | GEO
Project description:Congenital heart disease (CHD) is a prevalent birth defect affecting up to 1% of live births. While a genetic etiology is indicated by increased recurrence risk and association with chromosomal abnormalities, the genetics of CHD is poorly understood and likely complex. Here we show hypoplastic left heart syndrome (HLHS), a severe CHD with high morbidity/mortality, has a multigenic etiology. Analysis of 8 HLHS mutant mouse lines recovered from a large-scale mutagenesis screen showed no mutations are shared in common. In the *Ohia* mouse line, mutations in 2 genes, *Pcdha9*/*Sap130*, act synergistically to cause HLHS. Cardiomyocyte proliferation and differentiation defects likely act in concert with valve abnormalities to cause HLHS. Network analysis of mutations recovered in HLHS mice and 68 HLHS patients point to Notch signaling disruption, a pathway previously implicated in HLHS. These findings demonstrate large-scale mutagenesis is an effective systems approach for interrogating the complex genetics of human diseases.
2017-04-13 | GSE77798 | GEO