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Biomedical subjects

Shanshan Chen

Publications and source records attributed to Shanshan Chen.

2 recordsLinked to original sources

Epi-Allele elicits compensatory expression of the non-targeted allele and prevents haploinsufficiency in dominant genetic diseases.

Epigenetic regulation may underlie asymmetric allelic expression of many genes during development and disease pathogenesis. Allele-specific epigenetic modification could provide an efficient therapy for dominant genetic diseases due to heterozygous mutations. We developed an allele-specific epigenetic editing method ("Epi-Allele") for silencing pathogenic alleles and found surprisingly elevated expression of the non-targeted alleles, leaving total gene expression unchanged. Genome-wide screening revealed that such compensated allelic expression represents a common phenomenon, suggesting that the Epi-Allele approach could avoid the haploinsufficiency induced by current allele-specific silencing therapies. This notion was validated by allele-specific epigenetic remodeling of Myh6 and MYH7 genes in ameliorating cardiac phenotypes in a hypertrophic cardiomyopathy (HCM) mouse model and HCM patient iPSC-derived cardiomyocytes, respectively. Thus, Epi-Allele offers an allele-specific haploinsufficiency-free therapeutic approach for treating dominant genetic diseases.

DNA methylation

Potential therapeutic targets for ovarian hyperstimulation syndrome revealed by proteome-wide mendelian randomization and colocalization analysis.

Ovarian hyperstimulation syndrome (OHSS) is a severe complication associated with assisted reproductive technologies, characterized by metabolic, immune and vascular disorders. Understanding the molecular mechanisms underlying OHSS could reveal potential therapeutic targets and improve patient outcomes. In this study, We aimed to utilize proteome-wide Mendelian randomization (MR) and colocalization analysis to identify plasma proteins associated with OHSS and evaluate their potential as therapeutic targets through druggability assessment. We employed proteome-wide MR analysis summary data-based Mendelian randomization (SMR) analysis and phenome-wide association study (PheWAS) analysis to establish causal relationships between plasma proteins and OHSS. Colocalization analysis confirmed overlaps between proteins and genetic signals associated with OHSS. Pathway and network analyses were conducted to explore biological functions and protein interactions, while drug-target databases were queried for potential therapeutic interventions. Our results showed that 4 key proteins, including Suprabasin (SBSN), SLAMF4 (CD244), Enolase 3 (ENO3) and Thioredoxin domain-containing protein 12 (TXNDC12) were identified as significant contributors to OHSS. Pathway enrichment and interaction analyses further supported their involvement in metabolic, immune and structural pathways related to OHSS. Drug availability for colocalized proteins reveled potential drug targets for ENO3 (2-deoxy-D-glucose), CD244 (lenalidomide) and TXNDC12 (Auranofin), while no potential drug targets were identified for SBSN. Over all, our study identified15 plasma proteins, including SBSN, CD244, ENO3, and TXNDC12, as key contributors to the risk of OHSS through MR and colocalization analysis. These proteins were involved in metabolic regulation, immune response and antioxidant pathways, highlighting potential therapeutic targets and suggesting new directions for treatment strategies.

Humans