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Integrative analysis of bulk and single-nucleus transcriptomes suggests proteostasis- and metabolism-related alterations in the right ventricular outflow tract of non-syndromic Tetralogy of Fallot.

Integrative analysis of bulk and single-nucleus transcriptomes suggests proteostasis- and metabolism-related alterations in the right ventricular outflow tract of non-syndromic Tetralogy of Fallot.

期刊: Functional & integrative genomics 日期: 2026-06-03 PMID: 42230411 DOI: 10.1007/s10142-026-01898-w 浏览: 43
作者: Wang H, Yong X, Gao Y, Li W, Chen Z, Liu Z, Xu W
H, W., X, Y., Y, G., W, L., Z, C., Z, L., & W, X. (2026). Integrative analysis of bulk and single-nucleus transcriptomes suggests proteostasis- and metabolism-related alterations in the right ventricular outflow tract of non-syndromic Tetralogy of Fallot.. Functional & integrative genomics. https://doi.org/10.1007/s10142-026-01898-w
H W, X Y, Y G, W L, Z C, Z L, et al. Integrative analysis of bulk and single-nucleus transcriptomes suggests proteostasis- and metabolism-related alterations in the right ventricular outflow tract of non-syndromic Tetralogy of Fallot.. Functional & integrative genomics. 2026; doi: 10.1007/s10142-026-01898-w
H W, X Y, Y G, et al. Integrative analysis of bulk and single-nucleus transcriptomes suggests proteostasis- and metabolism-related alterations in the right ventricular outflow tract of non-syndromic Tetralogy of Fallot.[J]. Functional & integrative genomics. 2026. DOI: 10.1007/s10142-026-01898-w.
@article{h2026,
  author = {Wang H and Yong X and Gao Y and Li W and Chen Z and Liu Z and Xu W},
  title = {Integrative analysis of bulk and single-nucleus transcriptomes suggests proteostasis- and metabolism-related alterations in the right ventricular outflow tract of non-syndromic Tetralogy of Fallot.},
  journal = {Functional & integrative genomics},
  year = {2026},
  doi = {10.1007/s10142-026-01898-w},
  note = {PMID: 42230411},
}
TY  - JOUR
AU  - Wang H
AU  - Yong X
AU  - Gao Y
AU  - Li W
AU  - Chen Z
AU  - Liu Z
AU  - Xu W
TI  - Integrative analysis of bulk and single-nucleus transcriptomes suggests proteostasis- and metabolism-related alterations in the right ventricular outflow tract of non-syndromic Tetralogy of Fallot.
T2  - Functional & integrative genomics
PY  - 2026
DO  - 10.1007/s10142-026-01898-w
AN  - PMID:42230411
ER  - 

摘要

Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart disease, among which non-syndromic TOF (nsTOF) represents the most common subtype; however, the molecular mechanisms underlying right ventricular outflow tract (RVOT) remodeling in nsTOF remain incompletely understood. Bulk transcriptomic and single-nucleus RNA sequencing (snRNA-seq) datasets derived from fetal and infant RVOT tissues were integrated for analysis. Differential expression, miRNA-mRNA regulatory network construction, protein-protein interaction analysis, functional enrichment, and pseudotime trajectory analyses were performed to identify candidate hub genes and dynamic transcriptional alterations associated with nsTOF. A total of 842 differentially expressed mRNAs and 66 differentially expressed miRNAs were identified. Integration analyses yielded a regulatory network containing 54 DE-miRNAs and 538 DE-mRNAs. Fourteen hub genes, including PSMD14, NDUFA5, RPS27L, MRPS16, FOS, and SNRNP70, were identified through consensus topological filtering. Functional analyses suggested potential involvement of pathways related to protein homeostasis, ribosome-associated quality control, RNA splicing, mitochondrial metabolism, and stress-response signaling. snRNA-seq analysis demonstrated cell type-specific expression patterns of hub genes. Pseudotime analysis further suggested stage-dependent transcriptional alterations during RVOT remodeling. Integrated multi-omics analysis identified 14 candidate hub genes potentially involved in RVOT remodeling in nsTOF. These findings suggest that dysregulation of protein homeostasis, RNA-processing pathways, and mitochondrial metabolic processes may contribute to nsTOF pathology. Further experimental validation is required to confirm these observations.

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