September 18, 2025Frontiers in Cell and Developmental BiologyOpen Access

Decoding congenital heart disease: a multi-omic framework for cardiac lineage and regulatory dysfunction

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Authors

HLHuasheng LvXinjiang Medical University FSFengyu Sun YCYou‐Tzung Chen

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Implication

This review reveals cardiac lineage specification and regulatory dysfunction linked to congenital heart disease, suggesting new diagnostic approaches.

Key Points

Analyzing congenital heart disease offers insights into cardiac lineage and regulatory dysfunction, shifting the research paradigm.
Single-cell RNA sequencing and spatial transcriptomics provide high-resolution perspectives on cell states associated with heart defects.
Integrating genome-wide association studies with multi-omic data can clarify non-coding risk variants during heart development.
Cardiac organoid models present innovative ways to study gene function related to congenital heart disease in human tissues.

Cite This Study

Lv et al. (2025) studied this question.

synapsesocial.com/papers/68d435cf713b0b5dfea74eaa https://doi.org/10.3389/fcell.2025.1659884

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Implication

This review reveals cardiac lineage specification and regulatory dysfunction linked to congenital heart disease, suggesting new diagnostic approaches.

Decoding congenital heart disease: a multi-omic framework for cardiac lineage and regulatory dysfunction

Discussion

Member takes

Implication

Key Points

Cite This Study

Decoding congenital heart disease: a multi-omic framework for cardiac lineage and regulatory dysfunction

Discussion

Member takes

Implication

Key Points

Cite This Study

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