scholarly journals Fetal Reprogramming and Senescence in Hypoplastic Left Heart Syndrome and in Human Pluripotent Stem Cells during Cardiac Differentiation

2013 ◽  
Vol 183 (3) ◽  
pp. 720-734 ◽  
Author(s):  
Naila Gaber ◽  
Mark Gagliardi ◽  
Pranali Patel ◽  
Caroline Kinnear ◽  
Cindy Zhang ◽  
...  
2015 ◽  
Vol 117 (suppl_1) ◽  
Author(s):  
Almudena Martinez Fernandez ◽  
Xing Li ◽  
Jeanne L Theis ◽  
Andre Terzic ◽  
Timothy M Olson ◽  
...  

Hypoplastic Left Heart Syndrome (HLHS) is a complex multifactorial disease for which no definitive genetic causes have been found. Current genetic filtering strategies render lists of genes with unknown relevance in terms of pathogenesis. A complementary filter based on biological evidence would create a new approach to prioritize relevant candidate genes and mutations. In our study, 5 members of a nuclear family including a child with HLHS were evaluated using echocardiography and their genetic information was obtained through whole genome sequencing (WGS). Data filtering including rarity, functional impact and mode of inheritance was implemented, resulting in identification of 34 genes with recessive or de novo variants potentially involved in the pathogenesis of HLHS. Additionally, iPSC were derived from proband and parents and subjected to RNA-sequencing at the undifferentiated state and following spontaneous differentiation. Comparative transcriptional analyses identified genes differentially expressed in proband samples at each stage. These gene sets were used as an additional filter for the previously generated WGS data. This strategy revealed that out of 34 mutated genes originally identified, 10 displayed transcriptional differences in undifferentiated iPSC from the HLHS-affected individual while 16 out of 34 mutated genes showed significantly different expression levels in differentiated cells from proband. Furthermore, expression dynamics were studied during guided cardiac differentiation for the 9 genes fulfilling all applied criteria. Two genes not previously linked to HLHS, ELF4 and HSPG2 were found to behave significantly different in HLHS-iPSC when compared to control counterparts. In summary, filtering WGS data according to a new layer of transcriptional information that leverages iPSC plasticity allows prioritization of genes associated with HLHS in an in vitro model of disease.


2020 ◽  
Vol 32 (3) ◽  
pp. 531-538
Author(s):  
Elizabeth H. Stephens ◽  
Dipankar Gupta ◽  
Mark Bleiweis ◽  
Carl L. Backer ◽  
Robert H. Anderson ◽  
...  

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