GEO series
Transcription factor binding and individual genetic risk for valproate teratogenicity
GSE290300
Homo sapiens
Expression profiling by high throughput sequencing
18 samples
2026/03/01
GPL24676
Summary
Valproate (VPA) use during pregnancy is associated with a wide range of birth defects and adverse neurodevelopmental outcomes, but not all exposed children are affected and there is evidence for a genetic predisposition. We hypothesised that genomic variants that impact on the binding affinity of transcription factors (TFs) are integral to VPA-associated teratogenicity and a plausible explanation for variance in interindividual risk. We interrogated maternal exomes from women recruited through international epilepsy genomics consortia. The variant burden within genes associated with 32 different birth defect types was higher for those exposed to VPA as compared to other antiseizure medications (OR 1·73 [95% CI 1·40 to 2·14], p = 2·25E-07). Variants in women exposed to VPA were predicted to impact the binding affinity of 359 TFs and network analysis of encoded proteins indicated that a master regulator, EP300, interacts with 42% (151/359) of all variant sensitive TFs. We then profiled coexpression between EP300 and other TFs in differentiating neurons derived from human embryonic stem cells (hESCs) exposed to VPA at 300µM and 700 µM, or unexposed, and a reference map generated using public data. Almost all coexpressed pairs observed in the cell assay data were also observed in the reference map. In contrast, only 30% (119/400) of the coexpressed pairs observed in unexposed cells were present in cells exposed to VPA; suggesting that VPA activates alternative biologically valid, but context inappropriate, signaling cascades. Our findings suggest that VPA-induced disruption of EP300-related regulation is common across birth defect types and that genetic variation can modify subsequent transcriptional dysregulation, explaining why only some pregnancies are affected. The results have implications for the development of genetic risk biomarkers and safer drugs.
Download
NCBI GEO page ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE199939 Comprehensive transcriptomic analysis of immune-related genes in diabetic foot ulcers: New insights into mechanisms and therapeutic targets 21 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.