GEO series
Heart tube morphogenesis is regulated by segment-specific gene regulatory networks controlled by MEF2C [snRNA-Seq]
GSE280543
Mus musculus
Expression profiling by high throughput sequencing
12 samples
2024/11/04
GPL24247
Summary
The transcription factor MEF2C plays a critical role in the development of the linear heart tube, but the specific transcriptional networks controlled by MEF2C remain largely undefined. To address this, we performed combined single-nucleus RNA- and ATAC- sequencing on wild type and MEF2C-null embryos at distinct stages of development. We identified a broadly “posteriorized” cardiac gene signature and chromatin landscape throughout the heart tube in the absence of MEF2C. By integrating our gene expression and chromatin accessibility data in a deep-learning based model, we were able to construct developmental trajectories for each of the outflow tract, ventricular, and inflow tract lineages and determined how each of these segment-specific trajectories were distinctly altered in the MEF2C-null embryos. We computationally identified potential segment-specific MEF2C-dependent enhancers. Using transgenesis in zebrafish embryos, we identified novel MEF2C-dependent enhancers with activity in the developing heart tube from among these candidates. Finally, using inferred gene regulatory networks we discovered a genetic interaction between MEF2C and the atrial nuclear hormone receptor NR2F2, revealing that the MEF2C-null heart malformations are partly driven by a transcriptional network with increased NR2F2 activity. These studies not only provide a rich description of the genomic regulation of early heart tube development, but provide a generalizable framework for using genetic mutants to dissect the transcriptional networks that govern developmental processes.
Download
NCBI GEO page ↗
Paper (PMID 39554149) ↗
{# 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
mouse RNA-seq datasets →
Similar datasets
- GSE292862 Modelling mouse embryogenesis from chemically induced totipotent stem cells 22 samples
- GSE185862 A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation 95 samples
- GSE334940 Tissue nanotransfection-mediated induction of neurogenic programs promotes myoprotective responses in denervated skeletal muscle 15 samples
- GSE304862 Semaglutide and exercise synergy in obesity: preserving muscle mass and uncovering organ crosstalk 209 samples
- GSE343043 Disease context dictates the cellular targets of IL-17 in inflammatory skin disease 29 samples
- GSE341948 Multi-tissue transcriptomic landscape reveals synergistic mechanisms of exercise and GLP-1 agonist in ameliorating diabetic phenotypes in db/db mice 12 samples
- GSE293315 MRPGRX2 Antagonist Treatment Prevents Inflammation and Disease in a Mouse Model of Atopic Dermatitis Dataset 2 35 samples
- GSE321707 Characterization of TLR signaling in Ticam2-/- macrophages 30 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.