microRNA expression profiling in fetal single ventricle malformation identified by deep sequencing

Area of Science:

• Developmental Biology
• Molecular Biology
• Genetics

Background:

• microRNAs (miRNAs) are critical regulators of biological processes, including cardiac development.
• The specific miRNA expression profile during congenital heart malformation, particularly single ventricle (SV) defects, is not fully understood.

Purpose of the Study:

• To characterize the cellular miRNA profile in human fetal cardiac tissue with single ventricle (SV) defects.
• To identify differentially expressed miRNAs and their potential target genes involved in congenital heart malformation.

Main Methods:

• Comprehensive miRNA profiling using deep sequencing (SOLiD) on human fetal SV cardiac tissue.
• Differential expression analysis of miRNAs and validation using real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR).
• Bioinformatic analysis including gene ontology and Pathway-Express to identify affected pathways and target genes.

Main Results:

• 48 differentially expressed miRNAs were identified in SV cardiac tissue compared to controls (38 down-regulated, 10 up-regulated).
• WNT and mTOR signaling pathways were identified as significantly affected by miRNA differential expression.
• A network of miRNAs and cardiac development-related messenger RNAs (mRNAs) was constructed.

Conclusions:

• This study provides a comprehensive miRNA expression profile associated with fetal single ventricle (SV) defects.
• The findings highlight the role of specific miRNAs and signaling pathways (WNT, mTOR) in congenital heart malformation.
• This data serves as a foundation for investigating the mechanisms underlying fetal SV malformations.