Hypoplastic Left Heart Syndrome Study
Ontology highlight
ABSTRACT: To understand the genetic etiology of hypoplastic left heart syndrome (HLHS), patients with HLHS were consented and recruited, with blood drawn for DNA extraction and exome sequencing. Using the exome sequencing dataset obtained, rare coding sequence variants were recovered and enrichment analysis was carried out to identify genes and pathways that are likely to contribute to HLHS.
SECONDARY ACCESSION(S): PRJNA356955PRJNA356956
REPOSITORIES: dbGaP
Similar Datasets
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
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: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: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 Single Cell RNA Sequencing
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Project description:Genetic Etiology of Hypoplastic Left Heart Syndrome (HLHS)
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Project description:The complex genetics of hypoplastic left heart syndrome
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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:Hearts(left ventricles) were harvested from control wildtype and ISG15 knockout mice and wildtype and ISG15 knockout mice 4 weeks after pressure overload induced by transverse aortic constriction. Nano LC-MS/MS analysis was performedon left ventricle tissue following protein extraction, trypsin digestion, peptide desalting, anti K-e-GG enrichment.
2023-05-10 | PXD032267 | Pride
Project description:To describe normal cardiac and brain development during late first and early second trimester in human fetuses using microarray and pathways analysis and the creation of a corresponding M-bM-^@M-^\normalM-bM-^@M-^] database. RNA from recovered tissues was used for transcriptome analysis with Affymetrix 1.0 ST microarray chip. From the amassed data we investigated differences in cardiac and brain development within the 10-18 GA period dividing the sample by GA in three groups: 10-12 (H1), 13-15(H2) and 16-18(H3) weeks. A fold change of 2 or above adjusted for a false discovery rate of 5% was used as initial cut-off to determine differential gene expression for individual genes. Test for enrichment to identify functional groups were carried out using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Array analysis correctly identified the cardiac specific genes, and transcripts reported to be differentially expressed were confirmed by qRT-PCR. 14 hearts-10 brains
2014-05-21 | E-GEOD-56048 | biostudies-arrayexpress